no code implementations • 2 Jun 2024 • Yuxiang Ji, Boyong He, Chenyuan Qu, Zhuoyue Tan, Chuan Qin, Liaoni Wu
Pre-trained diffusion models have demonstrated remarkable proficiency in synthesizing images across a wide range of scenarios with customizable prompts, indicating their effective capacity to capture universal features.
no code implementations • 13 Apr 2024 • Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, HengShu Zhu, Hui Xiong
In the contemporary era of widespread online recruitment, resume understanding has been widely acknowledged as a fundamental and crucial task, which aims to extract structured information from resume documents automatically.
no code implementations • 10 Apr 2024 • Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, HengShu Zhu, Hui Xiong
For the generation process, we propose a novel chain of thought (CoT) based fine-tuning method to empower the LLM-based generator to adeptly respond to user questions using retrieved documents.
1 code implementation • 26 Mar 2024 • Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
Collaborative filtering methods based on graph neural networks (GNNs) have witnessed significant success in recommender systems (RS), capitalizing on their ability to capture collaborative signals within intricate user-item relationships via message-passing mechanisms.
no code implementations • 29 Dec 2023 • Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, HengShu Zhu
To address this, in this paper, we propose a novel Reliable Cognitive Diagnosis(ReliCD) framework, which can quantify the confidence of the diagnosis feedback and is flexible for different cognitive diagnostic functions.
no code implementations • 13 Nov 2023 • Chuan Qin, Dexin Wang, Kishan Prudhvi Guddanti, Xiaoyuan Fan, Zhangshuan Hou
The fifth-generation mobile communication (5G) technology offers opportunities to enhance the real-time monitoring of grids.
no code implementations • 3 Jul 2023 • Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, HengShu Zhu, Hui Xiong
To this end, we present an up-to-date and comprehensive survey on AI technologies used for talent analytics in the field of human resource management.
1 code implementation • journal 2023 • Chuan Qin, Liangming Chen, Zangtai Cai, Mei Liu, Long Jin
As the number of long short-term memory (LSTM) layers increases, vanishing/exploding gradient problems exacerbate and have a negative impact on the performance of the LSTM.
1 code implementation • 31 May 2023 • Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, HengShu Zhu, Qi Liu, Hui Xiong, Enhong Chen
Large Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS).
1 code implementation • NeurIPS 2021 • Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, HengShu Zhu, Hui Xiong
To this end, in this paper, we revisit the task of topic modeling by transforming each document into a directed graph with word dependency as edges between word nodes, and develop a novel approach, namely Graph Neural Topic Model (GNTM).
1 code implementation • NeurIPS 2021 • Ying Sun, HengShu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
To this end, in this paper, we aim to discern the decision-making processes of neural networks through a hierarchical voting strategy by developing an explainable deep learning model, namely Voting Transformation-based Explainable Neural Network (VOTEN).
1 code implementation • 24 Oct 2021 • Dazhong Shen, Chuan Qin, Chao Wang, HengShu Zhu, Enhong Chen, Hui Xiong
As one of the most popular generative models, Variational Autoencoder (VAE) approximates the posterior of latent variables based on amortized variational inference.
1 code implementation • 23 Feb 2021 • Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang, Nenghai Yu
To detect both few-perturbation attacks and large-perturbation attacks, we propose a method beyond image space by a two-stream architecture, in which the image stream focuses on the pixel artifacts and the gradient stream copes with the confidence artifacts.
no code implementations • 1 Jan 2021 • Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen
Though many algorithms, such as AMSGRAD and ADAMNC, have been proposed to fix the non-convergence issues, achieving a data-dependent regret bound similar to or better than ADAGRAD is still a challenge to these methods.
no code implementations • 8 Dec 2020 • Xinran Li, Chuan Qin, Zhenxing Qian, Heng Yao, Xinpeng Zhang
Local color features of significant corner points on outer boundaries of ring-ribbons are extracted through color vector angles (CVA), and color low-order moments (CLMs) is utilized to extract global color features.
no code implementations • 30 Oct 2020 • Mian Zou, Heng Yao, Chuan Qin, Xinpeng Zhang
Through statistical analysis of the SDN model, we assume that noise can be modeled as a Gaussian approximation for a certain brightness and propose a likelihood model for a noise level function.
1 code implementation • NeurIPS 2020 • Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen
Sparse adversarial samples are a special branch of adversarial samples that can fool the target model by only perturbing a few pixels.
no code implementations • 28 Feb 2020 • Qingyu Guo, Fuzhen Zhuang, Chuan Qin, HengShu Zhu, Xing Xie, Hui Xiong, Qing He
On the one hand, we investigate the proposed algorithms by focusing on how the papers utilize the knowledge graph for accurate and explainable recommendation.
1 code implementation • 23 Feb 2020 • Chao Wang, HengShu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
The recent development of online recommender systems has a focus on collaborative ranking from implicit feedback, such as user clicks and purchases.
no code implementations • 21 Dec 2018 • Chuan Qin, HengShu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
The wide spread use of online recruitment services has led to information explosion in the job market.
no code implementations • 8 Mar 2018 • Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
Generating poetry from images is much more challenging than generating poetry from text, since images contain very rich visual information which cannot be described completely using several keywords, and a good poem should convey the image accurately.