1 code implementation • COLING 2022 • Bin Li, Miao Gao, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao, Yaocheng Gui
A recent success in semantic dependency parsing shows that graph neural networks can make significant accuracy improvements, owing to its powerful ability in learning expressive graph representations.
1 code implementation • BioNLP (ACL) 2022 • Bin Li, Yixuan Weng, Fei Xia, Bin Sun, Shutao Li
Given an input video, the MedVidCL task aims to correctly classify it into one of three following categories: Medical Instructional, Medical Non-instructional, and Non-medical.
no code implementations • WASSA (ACL) 2022 • Bin Li, Yixuan Weng, Qiya Song, Bin Sun, Shutao Li
This paper describes the contribution of the LingJing team’s method to the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) 2022 shared task on Emotion Classification.
2 code implementations • SemEval (NAACL) 2022 • Bin Li, Yixuan Weng, Fei Xia, Shizhu He, Bin Sun, Shutao Li
This paper introduces the approach of Team LingJing’s experiments on SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings (CODWOE).
no code implementations • CCL 2020 • Zhentao Xia, Weiguang Qu, Yanhui Gu, Junsheng Zhou, Bin Li
作为信息抽取的一项核心子任务, 实体关系抽取对于知识图谱、智能问答、语义搜索等自然语言处理应用都十分重要。关系抽取在于从非结构化文本中自动地识别实体之间具有的某种语义关系。该文聚焦句子级别的关系抽取研究, 介绍用于关系抽取的主要数据集并对现有的技术作了阐述, 主要分为:有监督的关系抽取、远程监督的关系抽取和实体关系联合抽取。我们对比用于该任务的各种模型, 分析它们的贡献与缺 陷。最后介绍中文实体关系抽取的研究现状和方法。
no code implementations • CCL 2020 • Chao Sun, Weiguang Qu, Tingxin Wei, Yanhui Gu, Bin Li, Junsheng Zhou
连动句是具有连动结构的句子, 是汉语中的特殊句法结构, 在现代汉语中十分常见且使用频繁。连动句语法结构和语义关系都很复杂, 在识别中存在许多问题, 对此本文针对连动句的识别问题进行了研究, 提出了一种基于神经网络的连动句识别方法。本方法分两步:第一步, 运用简单的规则对语料进行预处理;第二步, 用文本分类的思想, 使用BERT编码, 利用多层CNN与BiLSTM模型联合提取特征进行分类, 进而完成连动句识别任务。在人工标注的语料上进行实验, 实验结果达到92. 71%的准确率, F1值为87. 41%。
no code implementations • CCL 2020 • Peiyi Yan, Bin Li, Tong Huang, Kairui Huo, Jin Chen, Weiguang Qu
疑问句的句法语义分析在搜索引擎、信息抽取和问答系统等领域有着广泛的应用。计算语言学多采取问句分类和句法分析相结合的方式来处理疑问句, 精度和效率还不理想。而疑问句的语言学研究成果丰富, 比如疑问句的结构类型、疑问焦点和疑问代词的非疑问用法等, 但缺乏系统的形式化表示。本文致力于解决这一难题, 采用基于图结构的汉语句子语义的整体表示方法—中文抽象语义表示(CAMR)来标注疑问句的语义结构, 将疑问焦点和整句语义一体化表示出来。然后选取了宾州中文树库CTB8. 0网络媒体语料、小学语文教材以及《小王子》中文译本的2万句语料中共计2071句疑问句, 统计了疑问句的主要特点。统计表明, 各种疑问代词都可以通过疑问概念amr-unknown和语义关系的组合来表示, 能够完整地表示出疑问句的关键信息、疑问焦点和语义结构。最后, 根据疑问代词所关联的语义关系, 统计了疑问焦点的概率分布, 其中原因、修饰语和受事的占比最高, 分别占26. 53%、16. 73%以及16. 44%。基于抽象语义表示的疑问句标注与分析可以为汉语疑问句研究提供基础理论与资源。
no code implementations • CCL 2020 • Tong Huang, Bin Li, Peiyi Yan, Tingting Ji, Weiguang Qu
对话分析是智能客服、聊天机器人等自然语言对话应用的基础课题, 而对话语料与常规书面语料有较大差异, 存在大量的称谓、情感短语、省略、语序颠倒、冗余等复杂现象, 对句法和语义分析器的影响较大, 对话自动分析的准确率相对书面语料一直不高。其主要原因在于对多轮对话缺乏严整的形式化描写方式, 不利于后续的分析计算。因此, 本文在梳理国内外针对对话的标注体系和语料库的基础上, 提出了基于抽象语义表示的篇章级多轮对话标注体系。具体探讨了了篇章级别的语义结构标注方法, 给出了词语和概念关系的对齐方案, 针对称谓语和情感短语增加了相应的语义关系和概念, 调整了表示主观情感词语的论元结构, 并对对话中一些特殊现象进行了规定, 设计了人工标注平台, 为大规模的多轮对话语料库标注与计算研究奠定基础。
no code implementations • LT4HALA (LREC) 2022 • Bin Li, Yiguo Yuan, Jingya Lu, Minxuan Feng, Chao Xu, Weiguang Qu, Dongbo Wang
This paper presents the results of the First Ancient Chinese Word Segmentation and POS Tagging Bakeoff (EvaHan), which was held at the Second Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) 2022, in the context of the 13th Edition of the Language Resources and Evaluation Conference (LREC 2022).
no code implementations • LILT 2019 • Bin Li, Yuan Wen, Li Song, Weiguang Qu, Nianwen Xue
One significant change we have made to the AMR annotation methodology is the inclusion of the alignment between word tokens in the sentence and the concepts/relations in the CAMR annotation to make it easier for automatic parsers to model the correspondence between a sentence and its meaning representation.
no code implementations • CCL 2021 • Changwei Xu, Minxuan Feng, Bin Li, Yiguo Yuan
"《古籍汉字分级字表》是基于大规模古籍文本语料库、为辅助学习者古籍文献阅读而研制的分级字表。该字表填补了古籍字表研究成果的空缺, 依据各汉字学习优先级别的不同, 实现了古籍汉字的等级划分, 目前收录一级字105个, 二级字340个, 三级字555个。本文介绍了该字表研制的主要依据和基本步骤, 并将其与传统识字教材“三百千”及《现代汉语常用字表》进行比较, 验证了其收字的合理性。该字表有助于学习者优先掌握古籍文本常用字, 提升古籍阅读能力, 从而促进中华优秀传统文化的继承与发展。”
1 code implementation • SemEval (NAACL) 2022 • Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao
For the classification sub-task, we adopt the DeBERTa-v3 pre-trained model for fine-tuning datasets of different languages.
no code implementations • TU (COLING) 2022 • Minjun Zhu, Yixuan Weng, Bin Li, Shizhu He, Kang Liu, Jun Zhao
In this work, we propose a knowledge transfer method with visual prompt (VPTG) fusing multi-modal data, which is a flexible module that can utilize the text-only seq2seq model to handle visual dialogue tasks.
no code implementations • dialdoc (ACL) 2022 • Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia
Question Answering (QA) is a Natural Language Processing (NLP) task that can measure language and semantics understanding ability, it requires a system not only to retrieve relevant documents from a large number of articles but also to answer corresponding questions according to documents.
no code implementations • CCL 2021 • Xuehui Lu, Huidan Xu, Siyu Chen, Bin Li
“先秦汉语在汉语史研究上具有重要地位, 然而以往的研究始终没有形成结构化的先秦词汇资源, 难以满足古汉语信息处理和跨语言对比的研究需要。国际上以英文词网(WordNet)的义类架构为基础, 已经建立了数十种语言的词网, 已经成为多语言自然语言处理和跨语言对比的基础资源。本文综述了国内外各种词网的构建情况, 特别是古代语言的词网和汉语词网, 然后详细介绍了先秦词网的构建和校正过程, 构建起了涵盖43591个词语、61227个义项、17975个义类的先秦汉语词网。本文还通过与古梵语词网的跨语言对比, 尝试分析这两种古老语言在词汇上的共性和差异, 初步验证先秦词网的有效性。”
no code implementations • CCL 2021 • Lou Zhou, Weiguang Qu, Tingxin Wei, Junsheng Zhou, Bin Li, Yanhui Gu
“汉语词语的离合现象是汉语中一种词语可分可合的特殊现象。本文采用字符级序列标注方法解决二字动词离合现象的自动识别问题, 以避免中文分词及词性标注的错误传递, 节省制定匹配规则与特征模板的人工开支。在训练过程中微调BERT中文预训练模型, 获取面向目标任务的字符向量表示, 并引入掩码机制对模型隐藏离用法中分离的词语, 减轻词语本身对识别结果的影响, 强化中间插入成分的学习, 并对前后语素采用不同的掩码以强调其出现顺序, 进而使模型具备了识别复杂及偶发性离用法的能力。为获得含有上下文信息的句子表达, 将原始的句子表达与采用掩码的句子表达分别输入两个不同参数的BiLSTM层进行训练, 最后采用CRF算法捕捉句子标签序列的依赖关系。本文提出的BERT MASK + 2BiLSTMs + CRF模型比现有最优的离合词识别模型提高了2. 85%的F1值。”
no code implementations • CCL 2021 • Chao Sun, Weiguang Qu, Tingxin Wei, Yanhui Gu, Bin Li, Junsheng Zhou
“连动句是形如“NP+VP1+VP2”的句子, 句中含有两个或两个以上的动词(或动词结构)且动词的施事为同一对象。相同结构的连动句可以表示多种不同的语义关系。本文基于前人对连动句中VP1和VP2之间的语义关系分类, 标注了连动句语义关系数据集, 基于神经网络完成了对连动句语义关系的识别。该方法将连动句语义识别任务进行分解, 基于BERT进行编码, 利用BiLSTM-CRF先识别出连动句中连动词(VP)及其主语(NP), 再基于融合连动词信息的编码, 利用BiLSTM-Attention对连动词进行关系判别, 实验结果验证了所提方法的有效性。”
no code implementations • LREC 2022 • Liming Xiao, Bin Li, Zhixing Xu, Kairui Huo, Minxuan Feng, Junsheng Zhou, Weiguang Qu
Therefore, to make up for the vacancy of Chinese AMR parsing evaluation methods, based on AMR evaluation metric smatch, we have improved the algorithm of generating triples so that to make it compatible with concept alignment and relation alignment.
no code implementations • 4 Jun 2024 • Jianming Yu, Yuchen He, Bin Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Zhuo Xu
Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography (rPPG) to collect heart rate information through video data collection.
no code implementations • 30 May 2024 • Qizao Wang, Xuelin Qian, Bin Li, xiangyang xue
Therefore, the adaptation of Re-ID models to new domains while preserving previously acquired knowledge is crucial, known as Lifelong person Re-IDentification (LReID).
no code implementations • 28 May 2024 • Hongbin Lin, Bin Li, Chun Wai Wong, Juan Rojas, Xiangyu Chu, Kwok Wai Samuel Au
Our learned visuomotor policy handles: i) unseen objects, including 5 types of target grasping objects and a robot gripper, in unstructured real-world surgery environments, and ii) disturbances in perception and control.
no code implementations • 26 May 2024 • Qizao Wang, Xuelin Qian, Bin Li, Lifeng Chen, Yanwei Fu, xiangyang xue
Specifically, we propose the Content and Salient Semantics Collaboration (CSSC) framework, facilitating cross-parallel semantics interaction and refinement.
no code implementations • 26 May 2024 • Qizao Wang, Xuelin Qian, Bin Li, Yanwei Fu, xiangyang xue
To tackle the challenges of knowledge granularity mismatch and knowledge presentation mismatch that occurred in LReID-Hybrid, we take advantage of the consistency and generalization of the text space, and propose a novel framework, dubbed $Teata$, to effectively align, transfer and accumulate knowledge in an "image-text-image" closed loop.
no code implementations • 26 Apr 2024 • Yuanman Li, Yingjie He, Changsheng chen, Li Dong, Bin Li, Jiantao Zhou, Xia Li
To address these limitations, this study proposes a novel end-to-end CMFD framework that integrates the strengths of conventional and deep learning methods.
no code implementations • 22 Apr 2024 • Hanzhe Li, Yuezun Li, Jiaran Zhou, Bin Li, Junyu Dong
Existing methods typically generate these faces by blending real or fake faces in color space.
no code implementations • 17 Apr 2024 • Shubhadip Dasgupta, Satwik Pate, Divya Rathore, L. G. Divyanth, Ayan Das, Anshuman Nayak, Subhadip Dey, Asim Biswas, David C. Weindorf, Bin Li, Sergio Henrique Godinho Silva, Bruno Teixeira Ribeiro, Sanjay Srivastava, Somsubhra Chakraborty
This study explored the application of portable X-ray fluorescence (PXRF) spectrometry and soil image analysis to rapidly assess soil fertility, focusing on critical parameters such as available B, organic carbon (OC), available Mn, available S, and the sulfur availability index (SAI).
no code implementations • 11 Apr 2024 • Jie Wang, Jing Lian, Minjie Ma, Junqiang Lei, Chunbiao Li, Bin Li, Jizhao Liu
To address these issues, we regard the remote heart rate measurement as the process of analyzing the spatiotemporal characteristics of the optical flow signal in the video.
no code implementations • 10 Apr 2024 • Diankun Zhang, Guoan Wang, Runwen Zhu, Jianbo Zhao, Xiwu Chen, Siyu Zhang, Jiahao Gong, Qibin Zhou, Wenyuan Zhang, Ningzi Wang, Feiyang Tan, Hangning Zhou, Ziyao Xu, Haotian Yao, Chi Zhang, Xiaojun Liu, Xiaoguang Di, Bin Li
End-to-End paradigms use a unified framework to implement multi-tasks in an autonomous driving system.
no code implementations • 28 Mar 2024 • Wufei Ma, Jiahao Li, Bin Li, Yan Lu
Deep learning-based video compression is a challenging task, and many previous state-of-the-art learning-based video codecs use optical flows to exploit the temporal correlation between successive frames and then compress the residual error.
no code implementations • 18 Mar 2024 • Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li
Drawing on recent advancements in diffusion models for text-to-image generation, identity-preserved personalization has made significant progress in accurately capturing specific identities with just a single reference image.
no code implementations • 5 Mar 2024 • Zhongdong Liu, Keyuan Zhang, Bin Li, Yin Sun, Y. Thomas Hou, Bo Ji
To address this challenge, we develop a robust online algorithm to minimize the sum of transmission and staleness costs, ensuring a worst-case performance guarantee.
1 code implementation • 28 Feb 2024 • Bin Li, Ye Shi, Qian Yu, Jingya Wang
This paper introduces ProtoOT, a novel Optimal Transport formulation explicitly tailored for UCIR, which integrates intra-domain feature representation learning and cross-domain alignment into a unified framework.
1 code implementation • 27 Feb 2024 • Jiahao Li, Bin Li, Yan Lu
This results in a better learning of the quantization scaler and helps our NVC support about 11. 4 dB PSNR range.
no code implementations • 16 Feb 2024 • Xinyu Wang, Kang Chen, Lei Liu, Tao Han, Bin Li, Lei Bai
Accurate forecasting of Tropical cyclone (TC) intensity is crucial for formulating disaster risk reduction strategies.
no code implementations • 1 Feb 2024 • Tianhan Xu, Zhe Hu, Ling Chen, Bin Li
In the next stage, we train the skill router using task-specific downstream data and use this router to integrate the acquired skills with LLMs during inference.
no code implementations • 26 Jan 2024 • Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di wu, Yixin Chen
The remarkable achievements of Artificial Intelligence (AI) algorithms, particularly in Machine Learning (ML) and Deep Learning (DL), have fueled their extensive deployment across multiple sectors, including Software Engineering (SE).
1 code implementation • 18 Jan 2024 • Fan Shi, Bin Li, xiangyang xue
In the odd-one-out task and two held-out configurations, RAISE can leverage acquired latent concepts and atomic rules to find the rule-breaking image in a matrix and handle problems with unseen combinations of rules and attributes.
1 code implementation • 17 Jan 2024 • Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu
To the best of our knowledge, SKR is the first attempt to address the time-consuming nature of data generation for learning neural operators.
no code implementations • 16 Jan 2024 • Fu Li, Xueying Wang, Bin Li, Yunlong Wu, Yanzhen Wang, Xiaodong Yi
The core contribution of this paper lies in the design of a BT generation framework based on LLM, which encompasses the entire process, from data synthesis and model training to application developing and data verification.
no code implementations • 3 Jan 2024 • Jinyang Yuan, Tonglin Chen, Zhimeng Shen, Bin Li, xiangyang xue
This ability is essential for humans to identify the same object while moving and to learn from vision efficiently.
2 code implementations • 21 Dec 2023 • Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai
However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has not kept pace with LLMs.
Ranked #1 on Zero-Shot Video Retrieval on MSR-VTT-full (using extra training data)
1 code implementation • 25 Nov 2023 • Dongshuo Yin, Leiyi Hu, Bin Li, Youqun Zhang
To fully demonstrate the practicality and generality of Mona, we conduct experiments on multiple representative visual tasks, including instance segmentation on COCO, semantic segmentation on ADE20K, object detection on Pascal VOC, and image classification on several common datasets.
no code implementations • 24 Nov 2023 • Weisi Guo, Schyler Sun, Bin Li, Sam Blakeman
Deep Learning (DL) is penetrating into a diverse range of mass mobility, smart living, and industrial applications, rapidly transforming the way we live and work.
no code implementations • 23 Nov 2023 • Yueqi Zeng, Ziqiang Li, Pengfei Xia, Lei Liu, Bin Li
With the boom in the natural language processing (NLP) field these years, backdoor attacks pose immense threats against deep neural network models.
1 code implementation • 19 Nov 2023 • Shangchao Su, Bin Li, xiangyang xue
The implementation of FedRA is straightforward and can be seamlessly integrated into any transformer-based model without the need for further modification to the original model.
no code implementations • 18 Nov 2023 • Zhenrong Wang, Bin Li, Weifeng Li, Shuanlong Niu, Wang Miao, Tongzhi Niu
Deep convolutional neural networks (CNNs) have been widely used in surface defect detection.
no code implementations • 15 Nov 2023 • Mingzhao Yang, Shangchao Su, Bin Li, xiangyang xue
Leveraging the extensive knowledge stored in the pre-trained diffusion model, the synthetic datasets can assist us in surpassing the knowledge limitations of the client samples, resulting in aggregation models that even outperform the performance ceiling of centralized training in some cases, which is convincingly demonstrated in the sufficient quantification and visualization experiments conducted on three large-scale multi-domain image datasets.
no code implementations • 14 Nov 2023 • Ziqiang Li, Chaoyue Wang, Xue Rui, Chao Xue, Jiaxu Leng, Bin Li
Few-shot image generation aims to train generative models using a small number of training images.
no code implementations • 26 Oct 2023 • Bin Li, Wenshuai Liu, Wancheng Xie, Ning Zhang, Yan Zhang
In this paper, we study a digital twin (DT)-empowered integrated sensing, communication, and computation network.
no code implementations • 16 Oct 2023 • Long Zhuo, Shenghai Luo, Shunquan Tan, Han Chen, Bin Li, Jiwu Huang
In adversarial training, SEAR employs a forgery localization model as a supervisor to explore tampering features and constructs a deep-learning concealer to erase corresponding traces.
no code implementations • 15 Oct 2023 • Ziqiang Li, Pengfei Xia, Hong Sun, Yueqi Zeng, Wei zhang, Bin Li
In this study, we focus on improving the poisoning efficiency of backdoor attacks from the sample selection perspective.
no code implementations • 9 Sep 2023 • Teng Fu, Xiaocong Wang, Haiyang Yu, Ke Niu, Bin Li, xiangyang xue
Multiple object tracking (MOT) tends to become more challenging when severe occlusions occur.
1 code implementation • 3 Sep 2023 • Haiyang Yu, Xiaocong Wang, Bin Li, xiangyang xue
We conduct experiments on a scene dataset for benchmarking Chinese text recognition, and the results demonstrate that the proposed method can indeed improve performance through disentangling content and orientation information.
1 code implementation • ICCV 2023 • Haiyang Yu, Xiaocong Wang, Bin Li, xiangyang xue
However, despite Chinese characters possessing different characteristics from Latin characters, such as complex inner structures and large categories, few methods have been proposed for Chinese Text Recognition (CTR).
no code implementations • 24 Aug 2023 • Bin Li, Rongrong Yang, Lei Liu, Junyi Wang, Ning Zhang, Mianxiong Dong
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks.
no code implementations • 21 Aug 2023 • Qizao Wang, Xuelin Qian, Bin Li, Yanwei Fu, xiangyang xue
In this paper, we rethink the role of the classifier in person Re-ID, and advocate a new perspective to conceive the classifier as a projection from image features to class prototypes.
no code implementations • 21 Aug 2023 • Qizao Wang, Xuelin Qian, Bin Li, Ying Fu, Yanwei Fu, xiangyang xue
Images with similar so-called fine-grained attributes (e. g., clothes and viewpoints) are encouraged to cluster together.
Ranked #2 on Person Re-Identification on PRCC (mAP metric)
no code implementations • 2 Aug 2023 • Jiucui Lu, Jiaran Zhou, Junyu Dong, Bin Li, Siwei Lyu, Yuezun Li
The proposed ForensicsForest family is composed of three variants, which are {\em ForensicsForest}, {\em Hybrid ForensicsForest} and {\em Divide-and-Conquer ForensicsForest} respectively.
1 code implementation • 15 Jul 2023 • Fan Shi, Bin Li, xiangyang xue
Finally, we conduct experiments to illustrate the interpretability of CRAB in concept learning, answer selection, and global rule abstraction.
no code implementations • 11 Jul 2023 • Dongbo Wang, Chang Liu, Zhixiao Zhao, Si Shen, Liu Liu, Bin Li, Haotian Hu, Mengcheng Wu, Litao Lin, Xue Zhao, Xiyu Wang
In the context of the rapid development of large language models, we have meticulously trained and introduced the GujiBERT and GujiGPT language models, which are foundational models specifically designed for intelligent information processing of ancient texts.
1 code implementation • journal 2023 • Weixiang Li, Shiang Wu, Bin Li, Weixuan Tang, and XinPeng Zhang
This framework directly learns universal costs that can be applied to any payload.
no code implementations • 4 Jul 2023 • Bin Li, Carsten Jentsch, Emmanuel Müller
Detecting abnormal patterns that deviate from a certain regular repeating pattern in time series is essential in many big data applications.
no code implementations • 16 Jun 2023 • Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, Jing Bai
We provide a gradient backpropagation highway for low-rank adapters which eliminates the need for expensive backpropagation through the frozen pre-trained model, resulting in substantial savings of training memory and training time.
no code implementations • 16 Jun 2023 • Yinxuan Huang, Tonglin Chen, Zhimeng Shen, Jinghao Huang, Bin Li, xiangyang xue
The results demonstrate the shortcomings of state-of-the-art methods for learning meaningful representations from real-world data, despite their impressive performance on complex synthesis datasets.
1 code implementation • 14 Jun 2023 • Ziqiang Li, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li
However, existing backdoor attack methods make unrealistic assumptions, assuming that all training data comes from a single source and that attackers have full access to the training data.
no code implementations • 14 Jun 2023 • Ziqiang Li, Hong Sun, Pengfei Xia, Beihao Xia, Xue Rui, Wei zhang, Qinglang Guo, Bin Li
This paper presents a Proxy attack-Free Strategy (PFS) designed to identify efficient poisoning samples based on individual similarity and ensemble diversity, effectively addressing the mentioned concern.
1 code implementation • 25 May 2023 • Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai
These agents, equipped with the logic and common sense capabilities of LLMs, can skillfully navigate complex, sparse-reward environments with text-based interactions.
no code implementations • 23 May 2023 • Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu
The emergence of text-driven motion synthesis technique provides animators with great potential to create efficiently.
no code implementations • 9 May 2023 • Shangchao Su, Haiyang Yu, Bin Li, xiangyang xue
In Chinese text recognition, to compensate for the insufficient local data and improve the performance of local few-shot character recognition, it is often necessary for one organization to collect a large amount of data from similar organizations.
1 code implementation • 9 May 2023 • Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao
The medical conversational question answering (CQA) system aims at providing a series of professional medical services to improve the efficiency of medical care.
no code implementations • 6 May 2023 • Mingzhao Yang, Shangchao Su, Bin Li, xiangyang xue
Specifically, we first extract prototypes from the labeled data on the server and send them to the clients.
no code implementations • 14 Apr 2023 • Qingyue Yang, Hongjing Niu, Pengfei Xia, Wei zhang, Bin Li
Then, a new method that learns through multiple frequency domains is proposed.
no code implementations • 13 Apr 2023 • Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Bin Li, Weiqing Li
Predicting high-fidelity future human poses, from a historically observed sequence, is decisive for intelligent robots to interact with humans.
no code implementations • 10 Apr 2023 • Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi Iyer, Andrew Herdrich
Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of ownership.
no code implementations • CVPR 2023 • Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu
Let us rethink the real-world scenarios that require human motion prediction techniques, such as human-robot collaboration.
1 code implementation • 6 Apr 2023 • Kang Chen, Tao Han, Junchao Gong, Lei Bai, Fenghua Ling, Jing-Jia Luo, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang
We present FengWu, an advanced data-driven global medium-range weather forecast system based on Artificial Intelligence (AI).
3 code implementations • 4 Apr 2023 • Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
Our work highlights the potential of seamlessly unifying explicit rule learning via CoNNs and implicit pattern learning in LMs, paving the way for true symbolic comprehension capabilities.
no code implementations • 23 Mar 2023 • Bin Li, Yahui Lei
In this paper, we study ad auctions with display prices from the perspective of mechanism design, in which advertisers are asked to submit both the costs and prices of their products.
no code implementations • 20 Mar 2023 • Xinyan Zu, Haiyang Yu, Bin Li, xiangyang xue
Text segmentation is a challenging vision task with many downstream applications.
no code implementations • 18 Mar 2023 • Ziyang Ye, Haiyang Yu, Bin Li
To estimate the uncertainty, we propose a module named Pyramid Covariance Predictor to predict the covariance matrices of the target Gaussian distributions, which determine the distributions of landmarks and represent the uncertainty of landmark annotation.
no code implementations • 17 Mar 2023 • Jie Wang, Zhihao Shi, Xize Liang, Shuiwang Ji, Bin Li, Feng Wu
During the message passing (MP) in GNNs, subgraph-wise sampling methods discard messages outside the mini-batches in backward passes to avoid the well-known neighbor explosion problem, i. e., the exponentially increasing dependencies of nodes with the number of MP iterations.
2 code implementations • CVPR 2023 • Jiahao Li, Bin Li, Yan Lu
Better yet, our codec has surpassed the under-developing next generation traditional codec/ECM in both RGB and YUV420 colorspaces, in terms of PSNR.
2 code implementations • 20 Feb 2023 • Tao Huang, Kai Chen, Bin Li, Yun-hui Liu, Qi Dou
Task automation of surgical robot has the potentials to improve surgical efficiency.
1 code implementation • 19 Feb 2023 • Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu
The appealing features of RSD-OA include that: (1) RSD-OA is invariant to visual distractions, as it is conditioned on the predefined subsequent action sequence without task-irrelevant information from transition dynamics, and (2) the reward sequence captures long-term task-relevant information in both rewards and transition dynamics.
no code implementations • 14 Feb 2023 • Wenshuai Liu, Bin Li, Wancheng Xie, Yueyue Dai, Zesong Fei
With the high flexibility of supporting resource-intensive and time-sensitive applications, unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an innovational paradigm to support the mobile users (MUs).
1 code implementation • 10 Feb 2023 • Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu
Both mask decay and residual representation learning greatly improve the RD performance of our scalable encoder.
no code implementations • 2 Feb 2023 • Lingli He, Jiahui Sun, Yiwei Gao, Bin Li, Yuhang Wang, Yanli Dong, Weidong An, Hang Li, Bei Yang, Yuhan Ge, Xuejun Cai Zhang, Yun Stone Shi, Yan Zhao
Glutamate-gated kainate receptors (KARs) are ubiquitous in the central nervous system of vertebrates, mediate synaptic transmission on post-synapse, and modulate transmitter release on pre-synapse.
no code implementations • 25 Jan 2023 • Tongzhi Niu, Bin Li, Kai Li, Yufeng Lin, Yuwei Li, Weifeng Li, Zhenrong Wang
In the surface defect detection, there are some suspicious regions that cannot be uniquely classified as abnormal or normal.
1 code implementation • 21 Jan 2023 • Chengmin Gao, Bin Li
To reconstruct the complete shape of an object accurately, we enhance the disentanglement between the latent representations of objects and views, where the latent representations of time-conditioned views are jointly inferred with a Transformer and then are input to a sequential extension of Slot Attention to learn object-centric representations.
no code implementations • CVPR 2023 • Tianyu Huang, Haoang Li, Kejing He, Congying Sui, Bin Li, Yun-hui Liu
As to the orthographic projection problem, we propose a novel Viewing Direction-aided Positional Encoding (VDPE) strategy.
no code implementations • CVPR 2023 • Linfeng Qi, Jiahao Li, Bin Li, Houqiang Li, Yan Lu
Meanwhile, besides assisting frame coding at the current time step, the feature from context generation will be propagated as motion condition when coding the subsequent motion latent.
no code implementations • ICCV 2023 • Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang
Current motion forecasting approaches typically train a deep end-to-end model from the source domain data, and then apply it directly to target subjects.
1 code implementation • 19 Dec 2022 • Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao
By performing a backward verification of the answers that LLM deduced for itself, we can obtain interpretable answer validation scores to select the candidate answer with the highest score.
no code implementations • 16 Dec 2022 • Shaowei Zhu, Wanli Lyu, Bin Li, Zhaoxia Yin, Bin Luo
In addition, the proposed method does not modify any task model, which can be used as a preprocessing module, which significantly reduces the deployment cost in practical applications.
no code implementations • 10 Dec 2022 • Bin Li, Yixuan Weng, Qiya Song, Hanjun Deng
As the deep learning rapidly promote, the artificial texts created by generative models are commonly used in news and social media.
no code implementations • 24 Nov 2022 • Haiyang Yu, Jingye Chen, Bin Li, xiangyang xue
In this paper, we represent each Chinese character as a stroke tree, which is organized according to its radical structures, to fully exploit the merits of both radical and stroke levels in a decent way.
no code implementations • 21 Nov 2022 • Tonglin Chen, Bin Li, Zhimeng Shen, xiangyang xue
Inspired by such an ability of humans, this paper proposes a compositional scene modeling method to infer global representations of canonical images of objects without any supervision.
1 code implementation • CVPR 2023 • Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie zhou, Jifeng Dai
It has been proved that combining multiple pre-training strategies and data from various modalities/sources can greatly boost the training of large-scale models.
Ranked #2 on Semantic Segmentation on ADE20K (using extra training data)
1 code implementation • 15 Nov 2022 • Shangchao Su, Mingzhao Yang, Bin Li, xiangyang xue
In this paper, we propose a federated adaptive prompt tuning algorithm, FedAPT, for multi-domain collaborative image classification with powerful foundation models, like CLIP.
1 code implementation • 26 Oct 2022 • Yixuan Weng, Bin Li
In this paper, we propose a cross-modal mutual knowledge transfer span localization (MutualSL) method to reduce the knowledge deviation.
no code implementations • 20 Oct 2022 • Wei zhang, Jiaxi Cao, Xiang Wang, Enqi Tian, Bin Li
In recent years, head-mounted near-eye display devices have become the key hardware foundation for virtual reality and augmented reality.
no code implementations • 12 Oct 2022 • Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
This process offers a natural way to obtain the "whitened" latents without any trainable parameters, and human motion prediction can be regarded as the reverse diffusion process that converts the noise distribution into realistic future motions conditioned on the observed sequence.
1 code implementation • 11 Oct 2022 • Bin Li, Yixuan Weng, Bin Sun, Shutao Li
We introduce a new task, named video corpus visual answer localization (VCVAL), which aims to locate the visual answer in a large collection of untrimmed instructional videos using a natural language question.
no code implementations • 4 Oct 2022 • Shangchao Su, Bin Li, xiangyang xue
In this paper, we first analyze the generalization bound of the aggregation model produced from knowledge distillation for the client domains, and then describe two challenges, server-to-client discrepancy and client-to-client discrepancy, brought to the aggregation model by the domain discrepancies.
1 code implementation • 29 Sep 2022 • Hongjing Niu, Hanting Li, Feng Zhao, Bin Li
The proposed scheme generates diverse prompts from a domain bank that contains many more diverse domains than existing DG datasets.
1 code implementation • 18 Sep 2022 • Kang Chen, Shaochen Wang, Beihao Xia, Dongxu Li, Zhen Kan, Bin Li
We observe that the global characteristics of the transformer make it easier to extract contextual information to perform depth estimation of transparent areas.
1 code implementation • 15 Sep 2022 • Fan Shi, Bin Li, xiangyang xue
The automatic parsing of these laws indicates the model's ability to understand the scene, which makes law parsing play a central role in many visual tasks.
1 code implementation • 16 Aug 2022 • Tao Yan, Mingyue Li, Bin Li, Yang Yang, Rynson W. H. Lau
However, making full use of the abundant information available from LFIs, such as 2D array of sub-views and the disparity map of each sub-view, for effective rain removal is still a challenging problem.
no code implementations • 12 Aug 2022 • Zhiyu Jin, Xuli Shen, Bin Li, xiangyang xue
We connect Fourier amplitude and phase with Gram matrices and a content reconstruction loss in style transfer, respectively.
no code implementations • 8 Aug 2022 • Wei Luo, Tongzhi Niu, Lixin Tang, Wenyong Yu, Bin Li
At first, we propose a novel clear memory-augmented module (CMAM), which combines the encoding and memoryencoding in a way of forgetting and inputting, thereby repairing abnormal foregrounds and preserving clear backgrounds.
no code implementations • 2 Aug 2022 • Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu
Previous works on human motion prediction follow the pattern of building a mapping relation between the sequence observed and the one to be predicted.
1 code implementation • 18 Jul 2022 • Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li
Since data augmentation strategies have largely alleviated the training instability, how to further improve the generative performance of DE-GANs becomes a hotspot.
1 code implementation • 13 Jul 2022 • Jiahao Li, Bin Li, Yan Lu
Besides estimating the probability distribution, our entropy model also generates the quantization step at spatial-channel-wise.
no code implementations • 5 Jul 2022 • Bin Li, Yixuan Weng, Ziyu Ma, Bin Sun, Shutao Li
To fully leverage the visual information for both scene understanding and dialogue generation, we propose the scene-aware prompt for the MDUG task.
no code implementations • 30 Jun 2022 • Shangchao Su, Bin Li, Chengzhi Zhang, Mingzhao Yang, xiangyang xue
Federated learning can enable multi-party collaborative learning without leaking client data.
no code implementations • 22 Jun 2022 • Zhuangkun Wei, Bin Li, Weisi Guo
The development of reconfigurable intelligent surfaces (RIS) has recently advanced the research of physical layer security (PLS).
1 code implementation • 12 Jun 2022 • Shunquan Tan, Qiushi Li, Laiyuan Li, Bin Li, Jiwu Huang
We propose a normalized distortion threshold to evaluate the sensitivity of each involved convolutional layer of the base model to guide STD-NET to compress target network in an efficient and unsupervised approach, and obtain two network structures of different shapes with low computation cost and similar performance compared with the original one.
2 code implementations • CVPR 2023 • Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai
Driven by these analysis, we propose Siamese Image Modeling (SiameseIM), which predicts the dense representations of an augmented view, based on another masked view from the same image but with different augmentations.
1 code implementation • 1 Jun 2022 • Bin Li, Zhongan Wang, Nan Wu, Shuai Shi, Qijun Ma
These methods generally extract the global features as descriptor to represent the original image.
1 code implementation • 20 May 2022 • Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu
Generalization across different environments with the same tasks is critical for successful applications of visual reinforcement learning (RL) in real scenarios.
1 code implementation • 26 Apr 2022 • Shangchao Su, Bin Li, xiangyang xue
Federated Learning (FL) has recently made significant progress as a new machine learning paradigm for privacy protection.
no code implementations • 24 Apr 2022 • Wei Wu, Bin Li
Data similarity (or distance) computation is a fundamental research topic which fosters a variety of similarity-based machine learning and data mining applications.
1 code implementation • 22 Apr 2022 • Pengfei Xia, Ziqiang Li, Wei zhang, Bin Li
Recent studies have proven that deep neural networks are vulnerable to backdoor attacks.
1 code implementation • 20 Apr 2022 • Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic.
no code implementations • 18 Apr 2022 • Ziqiang Li, Beihao Xia, Jing Zhang, Chaoyue Wang, Bin Li
Generative Adversarial Networks (GANs) have achieved remarkable achievements in image synthesis.
1 code implementation • 9 Apr 2022 • Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng
The last decade has witnessed enormous improvements in science and technology, stimulating the growing demand for economic and cultural exchanges in various countries.
no code implementations • WASSA (ACL) 2022 • Bin Li, Yixuan Weng
This paper describes our proposed method for the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) 2022 shared task on Personality Prediction (PER) and Reactivity Index Prediction (IRI).
no code implementations • CVPR 2022 • Cong Huang, Jiahao Li, Bin Li, Dong Liu, Yan Lu
The temporal features usually contain various noisy and uncorrelated information, and they may interfere with the restoration of the current frame.
no code implementations • 15 Mar 2022 • Bin Li, Dong Hao, Dengji Zhao
This paper studies multi-unit auctions powered by intermediaries, where each intermediary owns a private set of unit-demand buyers and all intermediaries are networked with each other.
no code implementations • 13 Mar 2022 • Bin Li, Yixuan Weng, Bin Sun, Shutao Li
However, due to the weak correlations and huge gaps of the semantic features between the textual question and visual answer, existing methods adopting visual span predictor perform poorly in the TAGV task.
no code implementations • 7 Mar 2022 • Jialiang Zhuang, Bin Li, Yun Zhang, YuHeng Chen, Xiujuan Zheng
Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases.
no code implementations • 15 Feb 2022 • Jinyang Yuan, Tonglin Chen, Bin Li, xiangyang xue
In this survey, we first outline the current progress on reconstruction-based compositional scene representation learning with deep neural networks, including development history and categorizations of existing methods from the perspectives of the modeling of visual scenes and the inference of scene representations; then provide benchmarks, including an open source toolbox to reproduce the benchmark experiments, of representative methods that consider the most extensively studied problem setting and form the foundation for other methods; and finally discuss the limitations of existing methods and future directions of this research topic.
1 code implementation • 27 Jan 2022 • Bin Li, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao
Higher-order features bring significant accuracy gains in semantic dependency parsing.
no code implementations • 19 Jan 2022 • Drew Penney, Bin Li, Jaroslaw Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long
A growing number of service providers are exploring methods to improve server utilization and reduce power consumption by co-scheduling high-priority latency-critical workloads with best-effort workloads.
1 code implementation • 30 Dec 2021 • Haiyang Yu, Jingye Chen, Bin Li, jianqi ma, Mengnan Guan, Xixi Xu, Xiaocong Wang, Shaobo Qu, xiangyang xue
The experimental results indicate that the performance of baselines on CTR datasets is not as good as that on English datasets due to the characteristics of Chinese texts that are quite different from the Latin alphabet.
no code implementations • 20 Dec 2021 • Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
Many existing algorithms learn robust policies by modeling the disturbance and applying it to source environments during training, which usually requires prior knowledge about the disturbance and control of simulators.
1 code implementation • 13 Dec 2021 • Jingye Chen, Haiyang Yu, jianqi ma, Bin Li, xiangyang xue
However, the recognition of low-resolution scene text images remains a challenge.
1 code implementation • 8 Dec 2021 • Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He
To address the above issue, this paper proposes an new method for acronym disambiguation, named as ADBCMM, which can significantly improve the performance of low-resource languages by building counterfactuals and multilingual mixing.
no code implementations • 7 Dec 2021 • Jinyang Yuan, Bin Li, xiangyang xue
When observing a visual scene that contains multiple objects from multiple viewpoints, humans are able to perceive the scene in a compositional way from each viewpoint, while achieving the so-called "object constancy" across different viewpoints, even though the exact viewpoints are untold.
1 code implementation • 3 Dec 2021 • Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan Yuille, Yongyi Lu
However, these approaches formulated skin cancer diagnosis as a simple classification task, dismissing the potential benefit from lesion segmentation.
no code implementations • NeurIPS 2021 • Xuhui Fan, Bin Li, Feng Zhou, Scott Sisson
The mutually-exciting Hawkes process (ME-HP) is a natural choice to model reciprocity, which is an important attribute of continuous-time edge (dyadic) data.
no code implementations • 29 Nov 2021 • Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li
In this paper, we propose a Prompt-based Sequence Generation (PSG) method for the acronym extraction task.
no code implementations • 29 Nov 2021 • Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun
In this paper, we propose a Simple framework for Contrastive Learning of Acronym Disambiguation (SimCLAD) method to better understand the acronym meanings.
1 code implementation • 27 Nov 2021 • Xihua Sheng, Jiahao Li, Bin Li, Li Li, Dong Liu, Yan Lu
From the stored propagated features, we propose to learn multi-scale temporal contexts, and re-fill the learned temporal contexts into the modules of our compression scheme, including the contextual encoder-decoder, the frame generator, and the temporal context encoder.
1 code implementation • 9 Nov 2021 • Pengfei Xia, Hongjing Niu, Ziqiang Li, Bin Li
Then, ML-MMDR, a difference reduction method that adds multi-level MMD regularization into the loss, is proposed, and its effectiveness is testified on three typical difference-based defense methods.
no code implementations • 9 Nov 2021 • Pengfei Xia, Ziqiang Li, Bin Li
The most common solution for this is to compute an approximate risk by replacing the 0-1 loss with a surrogate one.
no code implementations • 13 Oct 2021 • Zhiming Liu, Xuefei Zhang, Chongyang Liu, Hao Wang, Chao Sun, Bin Li, Weifeng Sun, Pu Huang, Qingjun Li, Yu Liu, Haipeng Kuang, Jihong Xiu
To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): 1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution.
no code implementations • 11 Oct 2021 • Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li
Follow-the-Regularized-Lead (FTRL) and Online Mirror Descent (OMD) are regret minimization algorithms for Online Convex Optimization (OCO), they are mathematically elegant but less practical in solving Extensive-Form Games (EFGs).
no code implementations • 8 Oct 2021 • Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yunhui Liu, Dong Sun
Then, we develop a dense visual reconstruction algorithm to represent the scene by surfels, estimate the laparoscope poses and fuse the depth maps into a unified reference coordinate for tissue reconstruction.
1 code implementation • NeurIPS 2021 • Jiahao Li, Bin Li, Yan Lu
In this paper, we propose a deep contextual video compression framework to enable a paradigm shift from predictive coding to conditional coding.
no code implementations • ICLR 2022 • Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei
The deep policy gradient method has demonstrated promising results in many large-scale games, where the agent learns purely from its own experience.
1 code implementation • 30 Aug 2021 • Jiaqi Xu, Bin Li, Bo Lu, Yun-hui Liu, Qi Dou, Pheng-Ann Heng
Ten learning-based surgical tasks are built in the platform, which are common in the real autonomous surgical execution.
no code implementations • 3 Aug 2021 • Bin Li, Encheng Chen, Hongru Liu, Yixuan Weng, Bin Sun, Shutao Li, Yongping Bai, Meiling Hu
Medical Dialogue Generation (MDG) is intended to build a medical dialogue system for intelligent consultation, which can communicate with patients in real-time, thereby improving the efficiency of clinical diagnosis with broad application prospects.
no code implementations • 3 Aug 2021 • Chengtao Peng, Yunfei Long, Senhua Zhu, Dandan Tu, Bin Li
Our proposed network contains two stages: the first one is a lung region segmentation step and is used to exclude irrelevant factors, and the second is a detection and recommendation stage.
no code implementations • 2 Aug 2021 • Haichou Chen, Yishu Deng, Bin Li, Zeqin Li, Haohua Chen, Bingzhong Jing, ChaoFeng Li
Pixel-wise classification is a popular approach to segmenting the region of interest.
1 code implementation • 13 Jul 2021 • Qinglin Li, Bin Li, Jonathan M Garibaldi, Guoping Qiu
In supervised deep learning, learning good representations for remote--sensing images (RSI) relies on manual annotations.
1 code implementation • 6 Jul 2021 • Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang
In this paper, we propose a self-adversarial training strategy and a reliable coarse-to-fine network that utilizes a self-attention mechanism to localize forged regions in forgery images.
1 code implementation • 22 Jun 2021 • Jingye Chen, Bin Li, xiangyang xue
Inspired by the fact that humans can generalize to know how to write characters unseen before if they have learned stroke orders of some characters, we propose a stroke-based method by decomposing each character into a sequence of strokes, which are the most basic units of Chinese characters.
1 code implementation • CVPR 2021 • Jingye Chen, Bin Li, xiangyang xue
Image super-resolution, which is often regarded as a preprocessing procedure of scene text recognition, aims to recover the realistic features from a low-resolution text image.
Ranked #3 on Optical Character Recognition (OCR) on Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
Image Super-Resolution Optical Character Recognition (OCR) +2
1 code implementation • 15 Jun 2021 • Bin Li, Hanjun Deng
Generating personalized responses is one of the major challenges in natural human-robot interaction.
1 code implementation • 29 May 2021 • Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl
Networks are ubiquitous in the real world.
no code implementations • 9 May 2021 • Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang
To address the issue, in this paper we extend an existing automatic cost learning scheme to JPEG, where the proposed scheme called JEC-RL (JPEG Embedding Cost with Reinforcement Learning) is explicitly designed to tailor the JPEG DCT structure.
1 code implementation • 7 May 2021 • Yuan Pu, Shaochen Wang, Xin Yao, Bin Li
The performance of deep reinforcement learning methods prone to degenerate when applied to environments with non-stationary dynamics.
no code implementations • 15 Apr 2021 • Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
This is clearly inefficient for high dimensional tasks due to its high memory and computational complexity.
1 code implementation • 14 Apr 2021 • Yuan Pu, Shaochen Wang, Rui Yang, Xin Yao, Bin Li
Deep reinforcement learning methods have shown great performance on many challenging cooperative multi-agent tasks.
Ranked #1 on SMAC+ on Off_Superhard_parallel
no code implementations • 6 Apr 2021 • Bin Li, Panpan Zhang, Jinye Peng, Hong Fu
Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body.
1 code implementation • 25 Mar 2021 • Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang
Recent research has shown that non-additive image steganographic frameworks effectively improve security performance through adjusting distortion distribution.
2 code implementations • 22 Mar 2021 • Fan Shi, Bin Li, xiangyang xue
In this paper we aim to solve the latter one by proposing a deep latent variable model, in which multiple Gaussian processes are employed as priors of latent variables to separately learn underlying abstract concepts from RPMs; thus the proposed model is interpretable in terms of concept-specific latent variables.
2 code implementations • 20 Mar 2021 • Ziqiang Li, Pengfei Xia, Xue Rui, Bin Li
Generative Adversarial Networks (GANs) have the ability to generate images that are visually indistinguishable from real images.
1 code implementation • 19 Mar 2021 • Jinyang Yuan, Bin Li, xiangyang xue
The proposed ADI framework focuses on the acquisition and utilization of knowledge, and is complementary to existing deep generative models proposed for compositional scene representation.
3 code implementations • 1 Mar 2021 • Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, Xiaojin Gong
More specifically, one branch inputs a color image and a sparse depth map to predict a dense depth map.
Ranked #3 on Depth Completion on KITTI Depth Completion
no code implementations • 19 Feb 2021 • Bin Li, Hong Fu, Ruimin Li, Wendi Wang
Accurate hand joints detection from images is a fundamental topic which is essential for many applications in computer vision and human computer interaction.
no code implementations • NeurIPS 2021 • Xin Liu, Bin Li, Pengyi Shi, Lei Ying
Thus, the overall computational complexity of our algorithm is similar to that of the linear UCB for unconstrained stochastic linear bandits.
no code implementations • 10 Feb 2021 • Tairu Qiu, Guanxian Chen, Zhongang Qi, Bin Li, Ying Shan, xiangyang xue
Short video applications like TikTok and Kwai have been a great hit recently.
no code implementations • 31 Jan 2021 • Chunyan Ji, Ming Chen, Bin Li, Yi Pan
We propose an approach of graph convolutional networks for robust infant cry classification.
no code implementations • 13 Jan 2021 • Xinghong Qin, Shunquan Tan, Bin Li, Weixuan Tang, Jiwu Huang
In this paper, we present a novel steganography scheme denoted as ITE-SYN (based on ITEratively adversarial perturbations onto a SYNchronized-directions sub-image), by which security data is embedded with synchronizing modification directions to enhance security and then iteratively increased perturbations are added onto a sub-image to reduce loss with cover class label of the target CNN classifier.
no code implementations • 5 Jan 2021 • Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong
To this end, we design a self-supervised visual-lidar odometry (Self-VLO) framework.
no code implementations • 1 Jan 2021 • Bin Li
Here, UCB estimates balance the tradeoff between exploration and exploitation in learning and are critical for yielding a small cumulative regret.
no code implementations • 15 Dec 2020 • Bin Li, Zhikang Jiang, Jie Chen
Computing the Sparse Fast Fourier Transform(sFFT) of a K-sparse signal of size N has emerged as a critical topic for a long time.
no code implementations • 4 Dec 2020 • Bo Hu, Keping Qiu, Yue Cao, Junhao Liu, Yuwei Wang, Guangxing Li, Zhiqiang Shen, Juan Li, Junzhi Wang, Bin Li, Jian Dong
DR21 south filament (DR21SF) is a unique component of the giant network of filamentary molecular clouds in the north region of Cygnus X complex.
Astrophysics of Galaxies
no code implementations • 4 Dec 2020 • Bin Li, Xiao Yang, Daren Sun, Zhi Ji, Zhen Jiang, Cong Han, Dong Hao
Auto-bidding plays an important role in online advertising and has become a crucial tool for advertisers and advertising platforms to meet their performance objectives and optimize the efficiency of ad delivery.
Computer Science and Game Theory
no code implementations • 3 Dec 2020 • Weiming Liu, Bin Li, Julian Togelius
Experimental results show that Neural ReCFR-B is competitive with the state-of-the-art neural CFR algorithms at a much lower training cost.
1 code implementation • 1 Dec 2020 • Benedetta Tondi, Andrea Costranzo, Dequ Huang, Bin Li
The method is based on a Convolutional Neural Network (CNN) that is trained to solve the estimation as a standard regression problem.
2 code implementations • CVPR 2021 • Bin Li, Yin Li, Kevin W. Eliceiri
We propose a MIL-based method for WSI classification and tumor detection that does not require localized annotations.
no code implementations • 11 Nov 2020 • Bin Li, Zhikang Jiang, Jie Chen
In the second part, we make two categories of experiments for computing the signals of different SNR, different N, different K by a standard testing platform and record the run time, percentage of the signal sampled and L0, L1, L2 error both in the exactly sparse case and general sparse case.
no code implementations • 11 Nov 2020 • Bin Li, Zhikang Jiang, Jie Chen
The sFFT algorithms decrease the runtime and sampling complexity by taking advantage of the signal inherent characteristics that a large number of signals are sparse in the frequency domain(e. g., sensors, video data, audio, medical image, etc.).
no code implementations • CONLL 2020 • Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O{'}Gorman, Nianwen Xue, Daniel Zeman
Extending a similar setup from the previous year, five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the English training and evaluation data for the task, packaged in a uniform graph abstraction and serialization; for four of these representation frameworks, additional training and evaluation data was provided for one additional language per framework.
no code implementations • 22 Oct 2020 • Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani
A modified three-dimensional Markov chain model adopting the quitting probability and cluster division is developed for the performance analysis.
Information Theory Information Theory
no code implementations • 20 Oct 2020 • Xin Liu, Bin Li, Pengyi Shi, Lei Ying
This paper considers constrained online dispatching with unknown arrival, reward and constraint distributions.
17 code implementations • ICLR 2021 • Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai
DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance.
Ranked #6 on 2D Object Detection on SARDet-100K
1 code implementation • journal 2020 • Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang
In SPAR-RL, an agent utilizes a policy network which decomposes the embedding process into pixel-wise actions and aims at maximizing the total rewards from a simulated steganalytic environment, while the environment employs an environment network for pixel-wise reward assignment.
1 code implementation • 29 Aug 2020 • Pengfei Xia, Bin Li
Improving the resistance of deep neural networks against adversarial attacks is important for deploying models to realistic applications.
1 code implementation • 19 Aug 2020 • Ziqiang Li, Muhammad Usman, Rentuo Tao, Pengfei Xia, Chaoyue Wang, Huanhuan Chen, Bin Li
Although a handful number of regularization and normalization methods have been proposed for GANs, to the best of our knowledge, there exists no comprehensive survey that primarily focuses on objectives and development of these methods, apart from some in-comprehensive and limited scope studies.
1 code implementation • 19 Aug 2020 • Ziqiang Li, Pengfei Xia, Rentuo Tao, Hongjing Niu, Bin Li
Quite a number of methods have been proposed to stabilize the training of GANs, the focuses of which were respectively put on the loss functions, regularization and normalization technologies, training algorithms, and model architectures.
no code implementations • 13 Jul 2020 • Bin Li, Jian Tian, Zhongfei Zhang, Hailin Feng, Xi Li
Human motion prediction, which aims at predicting future human skeletons given the past ones, is a typical sequence-to-sequence problem.
1 code implementation • 25 Jun 2020 • Jiabao Cui, XueWei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li
In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between the batch-level distribution and the global data distribution.
no code implementations • 11 Jun 2020 • Hongwei Zhao, Chengtao Peng, Lei Liu, Bin Li
To further prove the generalization property of the proposed method, we applied the trained model on the DRIONS-DB dataset for OD segmentation and on the MESSIDOR dataset for exudate segmentation.
no code implementations • 9 Jun 2020 • Bin Li, Kevin W. Eliceiri
Recently, MIL models fully parameterized by neural networks have become popular due to the high flexibility and superior performance.