1 code implementation • 5 Jun 2024 • Xiaofeng Yang, Cheng Chen, Xulei Yang, Fayao Liu, Guosheng Lin
Besides the generative capabilities of diffusion priors, motivated by the unique time-symmetry properties of rectified flow models, a variant of our method can additionally perform image inversion.
no code implementations • 4 Jun 2024 • Yunpeng Zhao, Cheng Chen, Qing You Pang, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin
Moreover, we propose a CLIP-driven hyper-network to personalize partial model parameters, enabling the model to adapt to each distinct missing modality scenario.
no code implementations • 20 May 2024 • Cheng Chen, Lei Fan
Using a comprehensive set of 19 contributing factors improved prediction accuracy but introduced complexities and inconsistency in model interpretations.
no code implementations • 14 May 2024 • Qinfeng Zhu, Yuan Fang, Yuanzhi Cai, Cheng Chen, Lei Fan
In this research, we conduct a comprehensive experimental investigation on the impact of mainstream scanning directions and their combinations on semantic segmentation of remotely sensed images.
1 code implementation • 2 May 2024 • Wenhao Zhu, ShuJian Huang, Fei Yuan, Cheng Chen, Jiajun Chen, Alexandra Birch
In this paper, we explore how broadly this method can be applied by examining its effects in reasoning with executable code and reasoning with common sense.
1 code implementation • 2 Apr 2024 • Qinfeng Zhu, Yuanzhi Cai, Yuan Fang, Yihan Yang, Cheng Chen, Lei Fan, Anh Nguyen
The results reveal that Samba achieved unparalleled performance on commonly used remote sensing datasets for semantic segmentation.
no code implementations • 1 Apr 2024 • Cheng Chen, Shoki Ohta, Takayuki Nishio, Mohamed Wahib
This study explores the feasibility of adapting CSI-guided imaging across varied environments.
no code implementations • 14 Mar 2024 • Cheng Chen, Xiaofeng Yang, Fan Yang, Chengzeng Feng, Zhoujie Fu, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu
In this paper, we present a new framework Sculpt3D that equips the current pipeline with explicit injection of 3D priors from retrieved reference objects without re-training the 2D diffusion model.
1 code implementation • 13 Mar 2024 • Cheng Chen, Junchen Zhu, Xu Luo, HengTao Shen, Lianli Gao, Jingkuan Song
To this end, we introduce MoELoRA to MLLMs which is effective to retain the previous instruction alignment.
no code implementations • 9 Mar 2024 • Fan Yang, Benjamin Planche, Meng Zheng, Cheng Chen, Terrence Chen, Ziyan Wu
For decades, three-dimensional C-arm Cone-Beam Computed Tomography (CBCT) imaging system has been a critical component for complex vascular and nonvascular interventional procedures.
no code implementations • 29 Feb 2024 • Md Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
This work focuses on the task of query-based meeting summarization in which the summary of a context (meeting transcript) is generated in response to a specific query.
no code implementations • 1 Feb 2024 • Xue-Yong Fu, Md Tahmid Rahman Laskar, Elena Khasanova, Cheng Chen, Shashi Bhushan TN
In this paper, we investigate whether smaller, compact LLMs are a good alternative to the comparatively Larger LLMs2 to address significant costs associated with utilizing LLMs in the real world.
1 code implementation • 25 Jan 2024 • Cheng Chen, Sreenath Kyathanahally, Marta Reyes, Stefanie Merkli, Ewa Merz, Emanuele Francazi, Marvin Hoege, Francesco Pomati, Marco Baity-Jesi
For example, a MobileNet with a 92% nominal test accuracy shows a 77% OOD accuracy.
no code implementations • 15 Dec 2023 • Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang
In this work, we present the first approach for robustness verification of DRL-based control systems by introducing reward martingales, which offer a rigorous mathematical foundation to characterize the impact of state perturbations on system performance in terms of cumulative rewards.
no code implementations • 8 Dec 2023 • Xiaofeng Yang, YiWen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin
We propose a unified framework aimed at enhancing the diffusion priors for 3D generation tasks.
no code implementations • 4 Dec 2023 • Hui Ouyang, Cheng Chen, Ke Tang
Our approach significantly improves the scalability and accuracy of 2-TBN structure learning.
1 code implementation • 1 Dec 2023 • Cheng Chen, Jingkuan Song, Lianli Gao, Heng Tao Shen
Catastrophic Forgetting (CF) is a prominent issue in continual learning.
1 code implementation • 25 Nov 2023 • Heng Tao Shen, Cheng Chen, Peng Wang, Lianli Gao, Meng Wang, Jingkuan Song
In this paper, we propose Continual Referring Expression Comprehension (CREC), a new setting for REC, where a model is learning on a stream of incoming tasks.
1 code implementation • 25 Nov 2023 • Cheng Chen, Ji Zhang, Jingkuan Song, Lianli Gao
Catastrophic forgetting is one of the most critical challenges in Continual Learning (CL).
no code implementations • 3 Nov 2023 • Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
Cooperative multi-agent multi-armed bandits (CMA2B) consider the collaborative efforts of multiple agents in a shared multi-armed bandit game.
no code implementations • 1 Nov 2023 • Xue-Yong Fu, Md Tahmid Rahman Laskar, Cheng Chen, Shashi Bhushan TN
In recent years, Large Language Models (LLMs) have gained immense attention due to their notable emergent capabilities, surpassing those seen in earlier language models.
no code implementations • 30 Oct 2023 • Md Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
This paper studies how to effectively build meeting summarization systems for real-world usage using large language models (LLMs).
1 code implementation • 24 Sep 2023 • Sekeun Kim, Kyungsang Kim, Jiang Hu, Cheng Chen, Zhiliang Lyu, Ren Hui, Sunghwan Kim, Zhengliang Liu, Aoxiao Zhong, Xiang Li, Tianming Liu, Quanzheng Li
The Segmentation Anything Model (SAM) has gained significant attention for its robust generalization capabilities across diverse downstream tasks.
1 code implementation • 16 Sep 2023 • Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation tasks.
no code implementations • 12 Sep 2023 • Cheng Chen, Lei Fan
In this study, the impact of the selection of contributing factors on the accuracy of landslide susceptibility predictions using ML and DL models was investigated.
no code implementations • 29 Aug 2023 • Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li
This paper introduces Radiology-Llama2, a large language model specialized for radiology through a process known as instruction tuning.
1 code implementation • 24 Jul 2023 • Wenao Ma, Cheng Chen, Jill Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou
Specifically, we propose to employ a variational autoencoder model to generate a low-dimensional prognostic score, which can effectively address the selection bias resulting from the non-randomized controlled trials.
1 code implementation • 15 Jul 2023 • Cheng Chen, Yifan Zhao, Jia Li
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings when compared to training with fully labeled datasets.
1 code implementation • 3 Jul 2023 • Cheng Chen, Yong Wang, Lizi Liao, Yueguo Chen, Xiaoyong Du
Given a limited labeling budget, active learning (AL) aims to sample the most informative instances from an unlabeled pool to acquire labels for subsequent model training.
1 code implementation • 3 Jul 2023 • Cheng Chen, Ruitao Chen, Tianyou Li, Ruichen Ao, Zaiwen Wen
Binary optimization has a wide range of applications in combinatorial optimization problems such as MaxCut, MIMO detection, and MaxSAT.
no code implementations • 14 Jun 2023 • Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Lichao Sun, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu
We introduce Radiology-GPT, a large language model for radiology.
no code implementations • 1 Jun 2023 • Xiaohuai Le, Tong Lei, Li Chen, Yiqing Guo, Chao He, Cheng Chen, Xianjun Xia, Hua Gao, Yijian Xiao, Piao Ding, Shenyi Song, Jing Lu
With fewer feature dimensions, filter banks are often used in light-weight full-band speech enhancement models.
no code implementations • 28 May 2023 • Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Mahsa Azizi, Shashi Bhushan, Simon Corston-Oliver
In recent years, the utilization of Artificial Intelligence (AI) in the contact center industry is on the rise.
no code implementations • 18 May 2023 • Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen
Although Federated Learning (FL) enables global model training across clients without compromising their raw data, existing Federated Averaging (FedAvg)-based methods suffer from the problem of low inference performance, especially for unevenly distributed data among clients.
no code implementations • 9 May 2023 • Cheng Chen, Shoki Ohta, Takayuki Nishio, Mehdi Bennis, Jihong Park, Mohamed Wahib
Introducing CSI-Inpainter, a pioneering approach for occlusion removal using Channel State Information (CSI) time sequences, this work propels the application of wireless signal processing into the realm of visual scene recovery.
no code implementations • 2 Apr 2023 • Cheng Chen, Yueming Lyu, Ivor W. Tsang
However, conventional partial-label learning (PLL) methods are still vulnerable to the high ratio of noisy partial labels, especially in a large labelling space.
1 code implementation • CVPR 2023 • Shixiang Tang, Cheng Chen, Qingsong Xie, Meilin Chen, Yizhou Wang, Yuanzheng Ci, Lei Bai, Feng Zhu, Haiyang Yang, Li Yi, Rui Zhao, Wanli Ouyang
Specifically, we propose a \textbf{HumanBench} based on existing datasets to comprehensively evaluate on the common ground the generalization abilities of different pretraining methods on 19 datasets from 6 diverse downstream tasks, including person ReID, pose estimation, human parsing, pedestrian attribute recognition, pedestrian detection, and crowd counting.
Ranked #1 on Pedestrian Attribute Recognition on PA-100K (using extra training data)
no code implementations • 20 Feb 2023 • Xiaohuai Le, Li Chen, Chao He, Yiqing Guo, Cheng Chen, Xianjun Xia, Jing Lu
Target speaker information can be utilized in speech enhancement (SE) models to more effectively extract the desired speech.
no code implementations • 1 Jan 2023 • Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou
Brain midline shift (MLS) is one of the most critical factors to be considered for clinical diagnosis and treatment decision-making for intracranial hemorrhage.
1 code implementation • ICCV 2023 • Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng
Specifically, we first point out the importance of algorithmic independence between two networks or branches in SSL, which is often overlooked in the literature.
no code implementations • 2 Nov 2022 • Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Shashi Bhushan TN
Telephone transcription data can be very noisy due to speech recognition errors, disfluencies, etc.
no code implementations • 25 Oct 2022 • Lyndon R. Duong, Bohan Li, Cheng Chen, Jingning Han
Contemporary lossy image and video coding standards rely on transform coding, the process through which pixels are mapped to an alternative representation to facilitate efficient data compression.
no code implementations • 24 Oct 2022 • Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shayna Gardiner, Pooja Hiranandani, Shashi Bhushan TN
Entity-level sentiment analysis predicts the sentiment about entities mentioned in a given text.
no code implementations • COLING (WNUT) 2022 • Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
We present a simple yet effective method to train a named entity recognition (NER) model that operates on business telephone conversation transcripts that contain noise due to the nature of spoken conversation and artifacts of automatic speech recognition.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 20 Sep 2022 • Cheng Chen, Shenjie Huang, Iman Tavakkolnia, Majid Safari, Harald Haas
Instead of providing a new precoder/post-detector design, we investigate the considered joint multiplexing system from a system configuration perspective by tuning system parameters in both spatial and wavelength domains, such as LED positions and optical filter passband.
no code implementations • 13 Aug 2022 • Zhenshan Tan, Cheng Chen, Keyu Wen, Yuzhuo Qin, Xiaodong Gu
With the design of negative samples, the noise objects are suppressed.
no code implementations • 13 Jul 2022 • Cheng Chen, Yi Li, Yiming Sun
Active regression considers a linear regression problem where the learner receives a large number of data points but can only observe a small number of labels.
no code implementations • 12 Jul 2022 • Cheng Chen, Canzhe Zhao, Shuai Li
This work studies the OLTR problem in both stochastic and adversarial environments under the position-based model (PBM).
1 code implementation • 2 Jul 2022 • Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou
In this paper, we propose the first method to tackle label shift for medical image classification, which effectively adapt the model learned from a single training label distribution to arbitrary unknown test label distribution.
no code implementations • 2 Jul 2022 • Keyu Wen, Zhenshan Tan, Qingrong Cheng, Cheng Chen, Xiaodong Gu
Concretely, the first module is a weight-sharing transformer that builds on the head of the visual and textual encoders, aiming to semantically align text and image.
no code implementations • 1 Jul 2022 • Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni
Deep segmentation models often face the failure risks when the testing image presents unseen distributions.
no code implementations • 29 Jun 2022 • Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng
Domain generalization typically requires data from multiple source domains for model learning.
1 code implementation • 28 May 2022 • Farid Ghareh Mohammadi, Cheng Chen, Farzan Shenavarmasouleh, M. Hadi Amini, Beshoy Morkos, Hamid R. Arabnia
Understanding 3D point cloud models for learning purposes has become an imperative challenge for real-world identification such as autonomous driving systems.
1 code implementation • 27 May 2022 • Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng Ann Heng, Qi Dou
Based on this estimated discrepancy, a dynamic learning rate adjustment strategy is then developed to achieve a suitable degree of adaptation for each test sample.
Histopathological Image Classification Image Classification +2
no code implementations • NAACL (ACL) 2022 • Elena Khasanova, Pooja Hiranandani, Shayna Gardiner, Cheng Chen, Xue-Yong Fu, Simon Corston-Oliver
In this paper we describe our implementation of a commercial system to detect Purpose of Call statements in English business call transcripts in real time.
no code implementations • NAACL (ACL) 2022 • Md Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver
An Entity Linking system aligns the textual mentions of entities in a text to their corresponding entries in a knowledge base.
no code implementations • CVPR 2022 • Cheng Chen, Yudong Zhu, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Xiaodong Gu
In this paper, we propose a contrastive learning-based framework UTC to unify and facilitate both discriminative and generative tasks in visual dialog with a single model.
1 code implementation • 22 Apr 2022 • Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y Huang, Ken Chang, Carmen Balana, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S Alexander, Joseph Lombardo, Joshua D Palmer, Adam E Flanders, Adam P Dicker, Haris I Sair, Craig K Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A Vogelbaum, J Ross Mitchell, Joaquim Farinhas, Joseph A Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C Pinho, Divya Reddy, James Holcomb, Benjamin C Wagner, Benjamin M Ellingson, Timothy F Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B Martins, Bernardo C A Teixeira, Flávia Sprenger, David Menotti, Diego R Lucio, Pamela Lamontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E Sloan, Vachan Vadmal, Kristin Waite, Rivka R Colen, Linmin Pei, Murat AK, Ashok Srinivasan, J Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V M Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R van der Voort, Ahmed Alafandi, Fatih Incekara, Maarten MJ Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W Schouten, Hendrikus J Dubbink, Arnaud JPE Vincent, Martin J van den Bent, Pim J French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B Chambless, Akshitkumar Mistry, Reid C Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G H Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A Velastin, Godwin Ogbole, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu'aibu, Adeleye Dorcas, Mayowa Soneye, Farouk Dako, Amber L Simpson, Mohammad Hamghalam, Jacob J Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y Moraes, Michael A Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S Barnholtz-Sloan, Jason Martin, Spyridon Bakas
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data.
1 code implementation • Findings (ACL) 2022 • Yutai Hou, Cheng Chen, Xianzhen Luo, Bohan Li, Wanxiang Che
Such inverse prompting only requires a one-turn prediction for each slot type and greatly speeds up the prediction.
1 code implementation • 29 Mar 2022 • Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov
Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence in the modern operating theatre.
no code implementations • 18 Mar 2022 • Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
To promote innovation in computational methods, we generate a novel simulated dataset to benchmark different methods of localization and classification of biological macromolecules in tomograms.
no code implementations • 11 Mar 2022 • Di wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
In order to address the unstable traffic pattern challenge and achieve the optimal overall outcome, we propose a multi-agent reinforcement learning method to adjust the bids from each guaranteed contract, which is simple, converging efficiently and scalable.
no code implementations • 24 Feb 2022 • Jun Chen, Cheng Chen, Huayue Zhang, Qing Tan
Advertisers usually enjoy the flexibility to choose criteria like target audience, geographic area and bid price when planning an campaign for online display advertising, while they lack forecast information on campaign performance to optimize delivery strategies in advance, resulting in a waste of labour and budget for feedback adjustments.
no code implementations • 19 Feb 2022 • Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, Zixiang Xiong
To address these issues, we develop a novel generative adversarial network, called quad-path cycle consistent adversarial network (QPC-Net), for single image defogging.
no code implementations • 19 Feb 2022 • Wei Liu, Rui Jiang, Cheng Chen, Tao Lu, Zixiang Xiong
The former consists of parallel rain removal path and rain-fog feature extraction path by the rain and derain-fog network and the attention rain-fog feature extraction network (ARFE) , while the latter only contains a synthetic rain transformation path.
no code implementations • 14 Feb 2022 • Amol Mandhane, Anton Zhernov, Maribeth Rauh, Chenjie Gu, Miaosen Wang, Flora Xue, Wendy Shang, Derek Pang, Rene Claus, Ching-Han Chiang, Cheng Chen, Jingning Han, Angie Chen, Daniel J. Mankowitz, Jackson Broshear, Julian Schrittwieser, Thomas Hubert, Oriol Vinyals, Timothy Mann
Specifically, we target the problem of learning a rate control policy to select the quantization parameters (QP) in the encoding process of libvpx, an open source VP9 video compression library widely used by popular video-on-demand (VOD) services.
no code implementations • 18 Oct 2021 • Rodolfo S. M. Freitas, Ágatha P. F. Lima, Cheng Chen, Fernando A. Rochinha, Daniel Mira, Xi Jiang
Accurate determination of fuel properties of complex mixtures over a wide range of pressure and temperature conditions is essential to utilizing alternative fuels.
no code implementations • ACL 2022 • Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu
However, large language model pre-training costs intensive computational resources and most of the models are trained from scratch without reusing the existing pre-trained models, which is wasteful.
no code implementations • 10 Oct 2021 • Luo Luo, YuJun Li, Cheng Chen
In this paper, we propose a novel approach for minimax optimization, called Minimax Cubic Newton (MCN), which could find an $\big(\varepsilon,\kappa^{1. 5}\sqrt{\rho\varepsilon}\,\big)$-second-order stationary point of $P({\bf x})$ with calling ${\mathcal O}\big(\kappa^{1. 5}\sqrt{\rho}\varepsilon^{-1. 5}\big)$ times of second-order oracles and $\tilde{\mathcal O}\big(\kappa^{2}\sqrt{\rho}\varepsilon^{-1. 5}\big)$ times of first-order oracles, where $\kappa$ is the condition number and $\rho$ is the Lipschitz continuous constant for the Hessian of $f({\bf x},{\bf y})$.
no code implementations • WNUT (ACL) 2021 • Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
To leverage the available written text datasets, we introduce a data sampling technique based on an n-gram language model to sample more training data that are similar to our in-domain data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 20 Sep 2021 • Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou
In this work, we develop an assisted learning framework for assisting organizations to improve their learning performance.
1 code implementation • 19 Sep 2021 • Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng
We present a novel denoised pseudo-labeling method for this problem, which effectively makes use of the source model and unlabeled target data to promote model self-adaptation from pseudo labels.
no code implementations • 6 Sep 2021 • Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
Over the past few years, various word-level textual attack approaches have been proposed to reveal the vulnerability of deep neural networks used in natural language processing.
1 code implementation • ACL 2021 • Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
Specifically, we carefully design the techniques of one-shot learning and the search space to provide an adaptive and efficient development way of tiny PLMs for various latency constraints.
no code implementations • Findings (ACL) 2021 • Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu
However, dialogue language understanding contains two closely related tasks, i. e., intent detection and slot filling, and often benefits from jointly learning the two tasks.
no code implementations • 24 Apr 2021 • Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu
Task-agnostic knowledge distillation, a teacher-student framework, has been proved effective for BERT compression.
1 code implementation • 30 Mar 2021 • Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng
In this paper, we propose a novel end-to-end temporal memory relation network (TMRNet) for relating long-range and multi-scale temporal patterns to augment the present features.
no code implementations • 30 Mar 2021 • Cheng Chen, Bhavya Kailkhura, Ryan Goldhahn, Yi Zhou
Federated learning is an emerging data-private distributed learning framework, which, however, is vulnerable to adversarial attacks.
1 code implementation • CVPR 2021 • Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng
Federated learning allows distributed medical institutions to collaboratively learn a shared prediction model with privacy protection.
no code implementations • 3 Mar 2021 • Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
On the other hand, the response time of these systems is strictly limited to a short period, e. g. 300 milliseconds in our real system, which is also being exhausted by the increasingly complex models and algorithms.
no code implementations • 16 Feb 2021 • Zuohui Chen, Qing Yuan, Xujie Song, Cheng Chen, Dan Zhang, Yun Xiang, Ruigang Liu, Qi Xuan
Magnetic induction tomography (MIT) is an efficient solution for long-term brain disease monitoring, which focuses on reconstructing bio-impedance distribution inside the human brain using non-intrusive electromagnetic fields.
1 code implementation • 13 Dec 2020 • Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu
Slot filling, a fundamental module of spoken language understanding, often suffers from insufficient quantity and diversity of training data.
no code implementations • 9 Dec 2020 • Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han
In modern video encoders, rate control is a critical component and has been heavily engineered.
no code implementations • 13 Nov 2020 • Cheng Chen, Junjie Yang, Yi Zhou
Specifically, we find that the optimization trajectories of successful DNN trainings consistently obey a certain regularity principle that regularizes the model update direction to be aligned with the trajectory direction.
no code implementations • NeurIPS 2020 • Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu
The Frank-Wolfe algorithm is a classic method for constrained optimization problems.
no code implementations • 5 Oct 2020 • Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini
We present a fast simulation application based on a Deep Neural Network, designed to create large analysis-specific datasets.
no code implementations • 22 Sep 2020 • Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura
We develop FedCluster--a novel federated learning framework with improved optimization efficiency, and investigate its theoretical convergence properties.
3 code implementations • 17 Sep 2020 • Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu
In this paper, we present FewJoint, a novel Few-Shot Learning benchmark for NLP.
no code implementations • 5 Sep 2020 • Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye
We study the streaming model for approximate matrix multiplication (AMM).
1 code implementation • 22 Jul 2020 • Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu
Cardiac MRI segmentation plays a crucial role in clinical diagnosis for evaluating personalized cardiac performance parameters.
no code implementations • 14 Mar 2020 • Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Wei-Nan Zhang, Yong Yu
Recent advances in large-scale optimal transport have greatly extended its application scenarios in machine learning.
1 code implementation • 22 Feb 2020 • Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng
We tackle this challenge and propose a novel multimodal segmentation framework which is robust to the absence of imaging modalities.
1 code implementation • 6 Feb 2020 • Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng Ann Heng
In this work, we present a novel unsupervised domain adaptation framework, named as Synergistic Image and Feature Alignment (SIFA), to effectively adapt a segmentation network to an unlabeled target domain.
no code implementations • 25 Sep 2019 • Cheng Chen, Junjie Yang, Yi Zhou
In particular, we observe that the trainings that apply the training techniques achieve accelerated convergence and obey the principle with a large $\gamma$, which is consistent with the $\mathcal{O}(1/\gamma K)$ convergence rate result under the optimization principle.
no code implementations • 13 Sep 2019 • Luo Luo, Cheng Chen, Yu-Jun Li, Guangzeng Xie, Zhihua Zhang
We consider saddle point problems which objective functions are the average of $n$ strongly convex-concave individual components.
no code implementations • 4 Jul 2019 • Shaohua Li, Yong liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
Deep learning for medical image classification faces three major challenges: 1) the number of annotated medical images for training are usually small; 2) regions of interest (ROIs) are relatively small with unclear boundaries in the whole medical images, and may appear in arbitrary positions across the x, y (and also z in 3D images) dimensions.
1 code implementation • 24 Jan 2019 • Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
Our proposed SIFA is an elegant learning diagram which presents synergistic fusion of adaptations from both image and feature perspectives.
2 code implementations • 19 Dec 2018 • Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
In this paper, we propose the PnPAdaNet (plug-and-play adversarial domain adaptation network) for adapting segmentation networks between different modalities of medical images, e. g., MRI and CT. We propose to tackle the significant domain shift by aligning the feature spaces of source and target domains in an unsupervised manner.
no code implementations • 10 Sep 2018 • Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai
With this formulation, we derive the optimal impression allocation strategy by solving the optimal bidding functions for contracts.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 2 Jun 2018 • Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng
In spite of the compelling achievements that deep neural networks (DNNs) have made in medical image computing, these deep models often suffer from degraded performance when being applied to new test datasets with domain shift.
no code implementations • 22 May 2018 • Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
Its computation is typically characterized by a simple tensor data abstraction to model multi-dimensional matrices, a data-flow graph to model computation, and iterative executions with relatively frequent synchronizations, thereby making it substantially different from Map/Reduce style distributed big data computation.
2 code implementations • 29 Apr 2018 • Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
The domain adaptation is more significant while challenging in the field of biomedical image analysis, where cross-modality data have largely different distributions.
no code implementations • 15 May 2017 • Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang
We also apply RFD to online learning and propose an effective hyperparameter-free online Newton algorithm.
no code implementations • 13 Apr 2016 • Cheng Chen, Xilin Zhang, Yizhou Wang, Fang Fang
In this study, we propose a novel method to measure bottom-up saliency maps of natural images.
no code implementations • 26 Oct 2015 • Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li
To deal with these large-scale data sets, we study a distributed setting of $\mathcal{X}$-armed bandits, where $m$ players collaborate to find the maximum of the unknown function.
no code implementations • 16 Apr 2015 • Jun Yang, Qingsong Wei, Cheng Chen, Chundong Wang, and Khai Leong Yong, Data Storage Institute, A-STAR; Bingsheng He, Nanyang Technological University
Although the memory fence and CPU cacheline flush instructions can order memory writes to achieve data consistency, they introduce a significant overhead (more than 10X slower in performance).
no code implementations • 14 Apr 2015 • Shuang Liu, Cheng Chen, Zhihua Zhang
When the time horizon is unknown, we measure the frequency of communication through a new notion called the density of the communication set, and give an exact characterization of the interplay between regret and communication.