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ORCIDJun Chen 0005
陈隽
Person information
- affiliation: McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- affiliation (2006 - 2007): IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (2005 - 2006): University of Illinois at Urbana-Champaign, Urbana, IL, USA
- affiliation (PhD 2006): Cornell University, Ithaca, NY, USA
- affiliation (until 2001): Shanghai Jiao Tong University, China
- unicode name: 陈隽
Other persons with the same name
- Jun Chen — disambiguation page
- Jun Chen 0001
![[0000-0003-1376-0167]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1376-0167")
— Wuhan University, National Engineering Research Center for Multimedia Software, China - Jun Chen 0002 — Oakland University, Rochester, MI, USA (and 2 more)
- Jun Chen 0003 — Peking University, Beijing, China
- Jun Chen 0004 — Tsinghua University, School of Software, Beijing, China
- Jun Chen 0006 — Ningbo University of Technology, Faculty of Science, China
- Jun Chen 0007 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Jun Chen 0008 — University of California, Los Angeles, Department of Electrical Engineering, CA, USA (and 1 more)
- Jun Chen 0009 — Queen Mary University of London, School of Engineering and Materials Science, United Kingdom (and 2 more)
- Jun Chen 0010 — Northwest A&F University, College of Animal Science and Technology, Yangling, China
- Jun Chen 0011 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China (and 1 more)
- Jun Chen 0012 — Xiamen University, China (and 1 more)
- Jun Chen 0013 — Sun Yat-Sen University, School of Electronics and Information Technology, Guangzhou, China
- Jun Chen 0014 — University of Essex, Centre for Computational Finance and Economic Agents, Colchester, UK
- Jun Chen 0015 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jun Chen 0016 — Nanjing University of Science and Technology, School of Automation, China (and 3 more)
- Jun Chen 0017 — KDDI Research Inc., Ultra-realistic Communication Group, Fujimino, Japan
- Jun Chen 0018 — University of Waterloo, Ontario, Canada
- Jun Chen 0019 — Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China (and 1 more)
- Jun Chen 0020 — Wuhan University, School of Information Management, China
- Jun Chen 0021 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Jun Cheng 0005 (aka: Jun Chen 0022) — Southeast University, Jiangning Development Zone, School of Transportation, Nanjing, China
- Jun Chen 0023 — Zhejiang University, Institute of Cyber-Systems and Control, China (and 1 more)
- Jun Chen 0024 — Tsinghua University, Shenzhen International Graduate School, Shenzhen, China (and 1 more)
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2020 – today
- 2024
[j91]Zhiyun Zhuang, Zhiyang Zhi, Ting Han, Yiping Chen, Jun Chen, Cheng Wang, Ming Cheng, Xinchang Zhang, Nannan Qin, Lingfei Ma:
A Survey of Point Cloud Completion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 5691-5711 (2024)- [j90]Yangyi Liu, Stefano Rini, Sadaf Salehkalaibar, Jun Chen:
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion. IEEE Trans. Commun. 72(2): 845-860 (2024) - [j89]Lei Yu, Venkat Anantharam, Jun Chen:
Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity. IEEE Trans. Inf. Theory 70(4): 2287-2308 (2024) - [j88]Yinfei Xu, Guojun Chen, Jun Chen, Shi Jin:
New Proofs of Gaussian Extremal Inequalities With Applications. IEEE Trans. Inf. Theory 70(5): 3082-3099 (2024) - [j87]Hafez M. Garmaroudi, S. Sandeep Pradhan, Jun Chen:
Rate-Limited Quantum-to-Classical Optimal Transport in Finite and Continuous-Variable Quantum Systems. IEEE Trans. Inf. Theory 70(11): 7892-7922 (2024) - [c85]Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen:
DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer. CVPR Workshops 2024: 6405-6414 - [c84]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 2024: 6453-6468 - [c83]Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou:
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey. CVPR Workshops 2024: 6745-6759 - [c82]Han Zhou, Wei Dong, Xiaohong Liu, Shuaicheng Liu, Xiongkuo Min, Guangtao Zhai, Jun Chen:
GLARE: Low Light Image Enhancement via Generative Latent Feature Based Codebook Retrieval. ECCV (48) 2024: 36-54 - [c81]Jingjing Qian, Sadaf Salehkalaibar, Jun Chen, Ashish Khisti, Wei Yu, Wuxian Shi, Yiqun Ge, Wen Tong:
Rate-Distortion-Perception Function of Gaussian Vector Sources. ISIT (Workshops) 2024: 1-6 - [c80]Sadaf Salehkalaibar, Jun Chen, Ashish Khisti, Wei Yu:
Rate-Distortion-Perception Tradeoff for Lossy Compression Using Conditional Perception Measure. ISIT 2024: 1071-1076 - [c79]Hafez M. Garmaroudi, S. Sandeep Pradhan, Jun Chen:
Rate-Limited Optimal Transport for Quantum Gaussian Observables. ISIT 2024: 2068-2073 - [i68]Sadaf Salehkalaibar, Jun Chen, Ashish Khisti, Wei Yu:
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure. CoRR abs/2401.12207 (2024) - [i67]Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou:
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey. CoRR abs/2404.16223 (2024) - [i66]Wei Dong, Han Zhou, Yuqiong Tian, Jingke Sun, Xiaohong Liu, Guangtao Zhai, Jun Chen:
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer. CoRR abs/2406.02559 (2024) - [i65]Jun Chen, Yong Fang, Ashish Khisti, Ayfer Özgür, Nir Shlezinger, Chao Tian:
Information Compression in the AI Era: Recent Advances and Future Challenges. CoRR abs/2406.10036 (2024) - [i64]Jingjing Qian, Sadaf Salehkalaibar, Jun Chen, Ashish Khisti, Wei Yu, Wuxian Shi, Yiqun Ge, Wen Tong:
Rate-Distortion-Perception Tradeoff for Gaussian Vector Sources. CoRR abs/2406.18008 (2024) - [i63]Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen:
DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer. CoRR abs/2407.05169 (2024) - [i62]Han Zhou, Wei Dong, Xiaohong Liu, Shuaicheng Liu, Xiongkuo Min, Guangtao Zhai, Jun Chen:
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval. CoRR abs/2407.12431 (2024) - [i61]Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen:
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction. CoRR abs/2410.21535 (2024) - 2023
- [j86]Kangdi Shi, Muhammad Alrabeiah, Jun Chen:
Progressive With Purpose: Guiding Progressive Inpainting DNNs Through Context and Structure. IEEE Access 11: 2023-2034 (2023) - [j85]Chao Tian, Hua Sun, Jun Chen:
A Shannon-Theoretic Approach to the Storage-Retrieval Trade-Off in PIR Systems. Inf. 14(1): 44 (2023) - [j84]Jun Chen, Yiping Chen, Cheng Wang:
Feature Graph Convolution Network With Attentive Fusion for Large-Scale Point Clouds Semantic Segmentation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j83]Aria Nouri, Reza Asvadi, Jun Chen, Pascal O. Vontobel:
Constrained Secrecy Capacity of Finite-Input Intersymbol Interference Wiretap Channels. IEEE Trans. Commun. 71(6): 3301-3316 (2023) - [j82]Xiaohong Liu, Zhihao Shi, Zijun Wu, Jun Chen, Guangtao Zhai:
GridDehazeNet+: An Enhanced Multi-Scale Network With Intra-Task Knowledge Transfer for Single Image Dehazing. IEEE Trans. Intell. Transp. Syst. 24(1): 870-884 (2023) - [j81]Huan Liu, Wentao Liu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang:
Fast Human Pose Estimation in Compressed Videos. IEEE Trans. Multim. 25: 1390-1400 (2023) - [j80]Linhui Dai, Xiang Song, Xiaohong Liu, Chengqi Li, Zhihao Shi, Jun Chen, Martin Brooks:
Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network via Joint Learning. IEEE Trans. Multim. 25: 4868-4879 (2023) - [c78]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c77]Yangyi Liu, Huan Liu, Liangyan Li, Zijun Wu, Jun Chen:
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer. CVPR Workshops 2023: 1406-1415 - [c76]Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen:
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge. CVPR Workshops 2023: 1764-1774 - [c75]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c74]Han Zhou, Wei Dong, Yangyi Liu, Jun Chen:
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt. CVPR Workshops 2023: 1895-1904 - [c73]Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li:
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank. CVPR 2023: 18145-18155 - [c72]Yangyi Liu, Sadaf Salehkalaibar, Stefano Rini, Jun Chen:
M22: Rate-Distortion Inspired Gradient Compression. ICASSP 2023: 1-5 - [c71]Etam Benger, Shahab Asoodeh, Jun Chen:
The Cardinality Bound on the Information Bottleneck Representations is Tight. ISIT 2023: 1478-1483 - [c70]Hafez M. Garmaroudi, S. Sandeep Pradhan, Jun Chen:
Rate-limited Quantum-to-Classical Optimal Transport: A Lossy Source Coding Perspective. ISIT 2023: 1925-1930 - [c69]Sadaf Salehkalaibar, Buu Phan, Jun Chen, Wei Yu, Ashish Khisti:
On the choice of Perception Loss Function for Learned Video Compression. NeurIPS 2023 - [c68]Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen, Jin Tang:
Meta-Auxiliary Learning for Future Depth Prediction in Videos. WACV 2023: 5745-5754 - [i60]Chao Tian, Hua Sun, Jun Chen:
A Shannon-Theoretic Approach to the Storage-Retrieval Tradeoff in PIR Systems. CoRR abs/2301.02155 (2023) - [i59]Yangyi Liu, Stefano Rini, Sadaf Salehkalaibar, Jun Chen:
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion. CoRR abs/2301.09269 (2023) - [i58]Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li:
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank. CoRR abs/2303.09101 (2023) - [i57]Yangyi Liu, Huan Liu, Liangyan Li, Zijun Wu, Jun Chen:
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer. CoRR abs/2304.07874 (2023) - [i56]Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen:
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge. CoRR abs/2304.12556 (2023) - [i55]Han Zhou, Wei Dong, Yangyi Liu, Jun Chen:
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt. CoRR abs/2305.04430 (2023) - [i54]Etam Benger, Shahab Asoodeh, Jun Chen:
The Cardinality Bound on the Information Bottleneck Representations is Tight. CoRR abs/2305.07000 (2023) - [i53]Hafez M. Garmaroudi, S. Sandeep Pradhan, Jun Chen:
A Coding Theorem for Rate-Limited Quantum-Classical Optimal Transport. CoRR abs/2305.10004 (2023) - [i52]Sadaf Salehkalaibar, Buu Phan, Jun Chen, Wei Yu, Ashish Khisti:
On the Choice of Perception Loss Function for Learned Video Compression. CoRR abs/2305.19301 (2023) - 2022
- [j79]Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen:
Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing. Inf. 13(3): 106 (2022) - [j78]Huan Liu, George Zhang, Jun Chen, Ashish Khisti:
Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport. IEEE J. Sel. Areas Inf. Theory 3(3): 513-527 (2022) - [j77]Jun Chen, Lei Yu, Jia Wang, Wuxian Shi, Yiqun Ge, Wen Tong:
On the Rate-Distortion-Perception Function. IEEE J. Sel. Areas Inf. Theory 3(4): 664-673 (2022) - [j76]Zhihao Shi, Xiaohong Liu, Chengqi Li, Linhui Dai, Jun Chen, Timothy N. Davidson, Jiying Zhao:
Learning for Unconstrained Space-Time Video Super-Resolution. IEEE Trans. Broadcast. 68(2): 345-358 (2022) - [j75]Siyao Zhou, Sadaf Salehkalaibar, Jingjing Qian, Jun Chen, Wuxian Shi, Yiqun Ge, Wen Tong:
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources. IEEE Trans. Commun. 70(12): 7957-7972 (2022) - [j74]Xiaohong Liu, Yaojie Liu, Jun Chen, Xiaoming Liu:
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7505-7517 (2022) - [j73]Lingfeng Shen, Ning Wang, Di Zhang, Jun Chen, Xiaomin Mu, Kon Max Wong:
Energy-Aware Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks. IEEE Trans. Green Commun. Netw. 6(4): 1957-1971 (2022) - [j72]Ming Cheng, Guoyan Li, Yiping Chen, Jun Chen, Cheng Wang, Jonathan Li:
Dense Point Cloud Completion Based on Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j71]Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen:
Video Frame Interpolation via Generalized Deformable Convolution. IEEE Trans. Multim. 24: 426-439 (2022) - [j70]Ali Zibaeenejad, Shengtian Yang, Jun Chen:
On Optimal Power Control for Energy Harvesting Communications With Lookahead. IEEE Trans. Wirel. Commun. 21(6): 4054-4067 (2022) - [c67]Siyao Zhou, Sadaf Salehkalaibar, Jingjing Qian, Jun Chen, Wuxian Shi, Yiqun Ge, Wen Tong:
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources. CISS 2022: 119-124 - [c66]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c65]Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang:
Towards Multi-domain Single Image Dehazing via Test-time Training. CVPR 2022: 5821-5830 - [c64]Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang:
Video Frame Interpolation Transformer. CVPR 2022: 17461-17470 - [c63]Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang:
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay. ECCV (24) 2022: 146-162 - [c62]Huan Liu, George Zhang, Jun Chen, Ashish J. Khisti:
Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport. ICLR 2022 - [i51]Siyao Zhou, Sadaf Salehkalaibar, Jingjing Qian, Jun Chen, Wuxian Shi, Yiqun Ge, Wen Tong:
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources. CoRR abs/2201.07784 (2022) - [i50]Jun Chen, Lei Yu, Jia Wang, Wuxian Shi, Yiqun Ge, Wen Tong:
On the Rate-Distortion-Perception Function. CoRR abs/2204.06049 (2022) - [i49]Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang:
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay. CoRR abs/2207.11213 (2022) - [i48]Kangdi Shi, Muhammad Alrabeiah, Jun Chen:
Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure. CoRR abs/2209.10071 (2022) - 2021
- [j69]Yizhong Wang, Penghui Niu, Xiaoyong Guo, Guowei Yang, Jun Chen:
Single Shot Multibox Detector With Deconvolutional Region Magnification Procedure. IEEE Access 9: 47767-47776 (2021) - [j68]Huan Liu, Jun Chen:
Indirect Domain Shift for Single Image Dehazing. IEEE Access 9: 122959-122970 (2021) - [j67]Yong Fang, Nan Yang, Jun Chen:
Error Probability of Distributed Arithmetic Coding. IEEE Commun. Lett. 25(12): 3814-3818 (2021) - [j66]Yong Fang, Jun Chen:
Decoding Polar Codes for a Generalized Gilbert-Elliott Channel With Unknown Parameter. IEEE Trans. Commun. 69(10): 6455-6468 (2021) - [j65]Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen:
Exploit Camera Raw Data for Video Super- Resolution via Hidden Markov Model Inference. IEEE Trans. Image Process. 30: 2127-2140 (2021) - [j64]Ye Wang, Ali Zibaeenejad, Yaohui Jing, Jun Chen:
On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications. IEEE Trans. Inf. Theory 67(10): 6548-6563 (2021) - [j63]Yinfei Xu, Xuan Guang, Jian Lu, Jun Chen:
Vector Gaussian Successive Refinement With Degraded Side Information. IEEE Trans. Inf. Theory 67(11): 6963-6982 (2021) - [c61]Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang:
A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning. CVPR Workshops 2021: 193-202 - [c60]Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang:
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing. CVPR Workshops 2021: 203-212 - [c59]Lei Yu, Venkat Anantharam, Jun Chen:
Type Graphs and Small-Set Expansion. ISIT 2021: 993-998 - [c58]Aria Nouri, Reza Asvadi, Jun Chen, Pascal O. Vontobel:
Finite-Input Intersymbol Interference Wiretap Channels. ITW 2021: 1-6 - [c57]George Zhang, Jingjing Qian, Jun Chen, Ashish Khisti:
Universal Rate-Distortion-Perception Representations for Lossy Compression. NeurIPS 2021: 11517-11529 - [i47]Lei Yu, Venkat Anantharam, Jun Chen:
Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity. CoRR abs/2102.00668 (2021) - [i46]Aria Nouri, Reza Asvadi, Jun Chen, Pascal O. Vontobel:
Constrained Secrecy Capacity of Partial-Response Wiretap Channels. CoRR abs/2102.04941 (2021) - [i45]Zhihao Shi, Chengqi Li, Linhui Dai, Xiaohong Liu, Jun Chen, Timothy N. Davidson:
Learning for Unconstrained Space-Time Video Super-Resolution. CoRR abs/2102.13011 (2021) - [i44]Xiaohong Liu, Yaojie Liu, Jun Chen, Xiaoming Liu:
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization. CoRR abs/2103.10596 (2021) - [i43]Xiaohong Liu, Zhihao Shi, Zijun Wu, Jun Chen:
GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing. CoRR abs/2103.13998 (2021) - [i42]Xiaohong Liu, Yongrui Ma, Zhihao Shi, Linhui Dai, Jun Chen:
Towards a Unified Approach to Single Image Deraining and Dehazing. CoRR abs/2103.14204 (2021) - [i41]Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang:
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning. CoRR abs/2104.08902 (2021) - [i40]Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. CoRR abs/2104.10781 (2021) - [i39]George Zhang, Jingjing Qian, Jun Chen, Ashish Khisti:
Universal Rate-Distortion-Perception Representations for Lossy Compression. CoRR abs/2106.10311 (2021) - [i38]Huan Liu, Junsong Yuan, Chen Wang, Jun Chen:
Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network. CoRR abs/2110.11545 (2021) - [i37]Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang:
Video Frame Interpolation Transformer. CoRR abs/2111.13817 (2021) - 2020
- [j62]Li Xie, Xiaolan Tu, Siyao Zhou, Jun Chen:
Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime. IEEE Trans. Commun. 68(6): 3782-3791 (2020) - [j61]Sorina Dumitrescu, Dania Elzouki, Jun Chen:
Lattice-Based Robust Distributed Source Coding for Three Correlated Sources. IEEE Trans. Commun. 68(7): 4089-4103 (2020) - [j60]Sanya Liu, Lin Wang, Jun Chen, Shaohua Hong:
Joint Component Design for the JSCC System Based on DP-LDPC Codes. IEEE Trans. Commun. 68(9): 5808-5818 (2020) - [j59]Jun Chen, Li Xie, Yameng Chang, Jia Wang, Yizhong Wang:
Generalized Gaussian Multiterminal Source Coding: The Symmetric Case. IEEE Trans. Inf. Theory 66(4): 2115-2128 (2020) - [j58]Shengtian Yang, Jun Chen:
A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications. IEEE Trans. Wirel. Commun. 19(10): 6708-6720 (2020) - [c56]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops 2020: 1882-1893 - [c55]Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 2020: 152-170 - [c54]Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen:
AWNet: Attentive Wavelet Network for Image ISP. ECCV Workshops (3) 2020: 185-201 - [c53]Lingfeng Shen, Ning Wang, Jun Chen, Jingxin Wang, Xiaomin Mu, Kon Max Wong:
Energy-Awareness Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks. VTC Fall 2020: 1-6 - [c52]Xiaohong Liu, Lingshi Kong, Yang Zhou, Jiying Zhao, Jun Chen:
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation. WACV 2020: 2405-2414 - [i36]Xiaohong Liu, Lingshi Kong, Yang Zhou, Jiying Zhao, Jun Chen:
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation. CoRR abs/2001.01162 (2020) - [i35]Yinfei Xu, Xuan Guang, Jian Lu, Jun Chen:
Vector Gaussian Successive Refinement With Degraded Side Information. CoRR abs/2002.07324 (2020) - [i34]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CoRR abs/2005.03155 (2020) - [i33]Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen:
AWNet: Attentive Wavelet Network for Image ISP. CoRR abs/2008.09228 (2020) - [i32]Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen:
Video Interpolation via Generalized Deformable Convolution. CoRR abs/2008.10680 (2020) - [i31]Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen:
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference. CoRR abs/2008.10710 (2020) - [i30]Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020)
2010 – 2019
- 2019
- [j57]Yizhong Wang, Li Xie, Siyao Zhou, Mengzhen Wang, Jun Chen:
Asymptotic Rate-Distortion Analysis of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed Encoding. Entropy 21(2): 213 (2019) - [j56]Jia Wang, Jun Chen:
A Monotone Path Proof of an Extremal Result for Long Markov Chains. Entropy 21(3): 276 (2019) - [j55]Jialin Han, Qiqi Wang, Guowei Yang, Jun Chen, Yizhong Wang:
融合权重与卷积核删减的SSD网络压缩 (SSD Network Compression Fusing Weight and Filter Pruning). 计算机科学 46(11): 272-276 (2019) - [j54]Keyan Wang, Yan Hu, Jun Chen, Xianyun Wu, Xi Zhao, Yunsong Li:
Underwater Image Restoration Based on a Parallel Convolutional Neural Network. Remote. Sens. 11(13): 1591 (2019) - [j53]Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen:
Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network. IEEE Signal Process. Lett. 26(6): 833-837 (2019) - [j52]Yizhong Wang, Li Xie, Xuan Zhang, Jun Chen:
Robust Distributed Compression of Symmetrically Correlated Gaussian Sources. IEEE Trans. Commun. 67(3): 2343-2354 (2019) - [j51]Mahdi Nangir, Reza Asvadi, Jun Chen, Mahmoud Ahmadian-Attari, Tad Matsumoto:
Successive Wyner-Ziv Coding for the Binary CEO Problem Under Logarithmic Loss. IEEE Trans. Commun. 67(11): 7512-7525 (2019) - [j50]Shengtian Yang, Rui Xu, Jun Chen, Jian-Kang Zhang:
Intrinsic Capacity. IEEE Trans. Inf. Theory 65(3): 1345-1360 (2019) - [j49]Dania Elzouki, Sorina Dumitrescu, Jun Chen:
Lattice-Based Robust Distributed Source Coding. IEEE Trans. Inf. Theory 65(3): 1764-1781 (2019) - [j48]Chao Tian, Hua Sun, Jun Chen:
Capacity-Achieving Private Information Retrieval Codes With Optimal Message Size and Upload Cost. IEEE Trans. Inf. Theory 65(11): 7613-7627 (2019) - [c51]Dania Elzouki, Sorina Dumitrescu, Jun Chen:
Lattice-based Robust Distributed Source Coding for Three Correlated Sources. CWIT 2019: 1-6 - [c50]Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen:
Image Retrieval via Canonical Correlation Analysis. CWIT 2019: 1-6 - [c49]Shengtian Yang, Jun Chen:
Extremal Results for the Relative-Entropy Ratio of Collinear Probability Distributions. CWIT 2019: 1-6 - [c48]Chao Tian, Hua Sun, Jun Chen:
Capacity-Achieving Private Information Retrieval Codes with Optimal Message Size and Upload Cost. ICC 2019: 1-6 - [c47]Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen:
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. ICCV 2019: 7313-7322 - [c46]Ali Zibaeenejad, Jun Chen:
The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals. ISIT 2019: 116-120 - [i29]Ali Zibaeenejad, Jun Chen:
The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals. CoRR abs/1904.12281 (2019) - [i28]Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen:
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. CoRR abs/1908.03245 (2019) - [i27]Li Xie, Xiaolan Tu, Siyao Zhou, Jun Chen:
Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime. CoRR abs/1908.05713 (2019) - [i26]Shengtian Yang, Jun Chen:
A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications. CoRR abs/1912.02028 (2019) - 2018
- [j47]Sorina Dumitrescu, Yifang Chen, Jun Chen:
Index Mapping for Bit-Error Resilient Multiple Description Lattice Vector Quantizer. IEEE Trans. Commun. 66(8): 3638-3652 (2018) - [j46]Mahdi Nangir, Reza Asvadi, Mahmoud Ahmadian-Attari, Jun Chen:
Analysis and Code Design for the Binary CEO Problem Under Logarithmic Loss. IEEE Trans. Commun. 66(12): 6003-6014 (2018) - [j45]Chao Tian, Jun Chen:
Caching and Delivery via Interference Elimination. IEEE Trans. Inf. Theory 64(3): 1548-1560 (2018) - [c45]Jun Chen, Li Xie, Yameng Chang, Jia Wang, Yizhong Wang:
Symmetric Generalized Gaussian Multiterminal Source Coding. ISIT 2018: 161-165 - [c44]Chao Tian, Hua Sun, Jun Chen:
A Shannon-Theoretic Approach to the Storage-Retrieval Tradeoff in PIR Systems. ISIT 2018: 1904-1908 - [c43]Shengtian Yang, Jun Chen:
A Geometric Property of Relative Entropy and the Universal Threshold Phenomenon for Binary-Input Channels with Noisy State Information at the Encoder. ITW 2018: 1-5 - [i25]Mahdi Nangir, Reza Asvadi, Mahmoud Ahmadian-Attari, Jun Chen:
Analysis and Code Design for the Binary CEO Problem under Logarithmic Loss. CoRR abs/1801.00435 (2018) - [i24]Mahdi Nangir, Reza Asvadi, Mahmoud Ahmadian-Attari, Jun Chen:
Binary CEO Problem under Log-Loss with BSC Test-Channel Model. CoRR abs/1801.02976 (2018) - [i23]Mahdi Nangir, Reza Asvadi, Mahmoud Ahmadian-Attari, Jun Chen:
Successive Wyner-Ziv Coding for the Binary CEO Problem under Log-Loss. CoRR abs/1803.02605 (2018) - [i22]Shengtian Yang, Jun Chen:
A Geometric Property of Relative Entropy and the Universal Threshold Phenomenon for Binary-Input Channels with Noisy State Information at the Encoder. CoRR abs/1805.11763 (2018) - [i21]Yizhong Wang, Li Xie, Xuan Zhang, Jun Chen:
Robust Distributed Compression of Symmetrically Correlated Gaussian Sources. CoRR abs/1807.06799 (2018) - [i20]Chao Tian, Hua Sun, Jun Chen:
Capacity-Achieving Private Information Retrieval Codes with Optimal Message Size and Upload Cost. CoRR abs/1808.07536 (2018) - [i19]Dania Elzouki, Sorina Dumitrescu, Jun Chen:
Lattice-based Robust Distributed Source Coding. CoRR abs/1810.01567 (2018) - [i18]Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen:
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing. CoRR abs/1810.02862 (2018) - [i17]Mahdi Nangir, Reza Asvadi, Jun Chen, Mahmoud Ahmadian-Attari, Tad Matsumoto:
Successive Wyner-Ziv Coding for the Binary CEO Problem under Logarithmic Loss. CoRR abs/1812.11584 (2018) - 2017
- [j44]Jun Chen, Da-ke He, Ashish Jagmohan, Luis Alfonso Lastras-Montaño:
On the Reliability Function of Variable-Rate Slepian-Wolf Coding. Entropy 19(8): 389 (2017) - [j43]Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang:
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? IEEE Trans. Inf. Theory 63(2): 960-974 (2017) - [j42]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai Shitz:
Matched Multiuser Gaussian Source Channel Communications via Uncoded Schemes. IEEE Trans. Inf. Theory 63(7): 4155-4171 (2017) - [j41]Yinfei Xu, Jun Chen, Qiao Wang:
The Sum Rate of Vector Gaussian Multiple Description Coding With Tree-Structured Covariance Distortion Constraints. IEEE Trans. Inf. Theory 63(10): 6547-6560 (2017) - [j40]Farrokh Etezadi, Ashish Khisti, Jun Chen:
A Truncated Prediction Framework for Streaming Over Erasure Channels. IEEE Trans. Inf. Theory 63(11): 7322-7351 (2017) - [c42]Jun Chen, Farrokh Etezadi, Ashish Khisti:
Generalized Gaussian multiterminal source coding and probabilistic graphical models. ISIT 2017: 719-723 - [c41]Shengtian Yang, Rui Xu, Jun Chen, Jian-Kang Zhang:
Intrinsic capacity. ISIT 2017: 2073-2077 - [c40]Sorina Dumitrescu, Yifang Chen, Jun Chen:
Index mapping for bit-error resilient multiple description lattice vector quantizer. ISIT 2017: 2588-2592 - [i16]Shengtian Yang, Rui Xu, Jun Chen, Jian-Kang Zhang:
Intrinsic Capacity. CoRR abs/1706.06858 (2017) - [i15]Jun Chen, Li Xie, Yameng Chang, Jia Wang, Yizhong Wang:
Generalized Gaussian Multiterminal Source Coding: The Symmetric Case. CoRR abs/1710.04750 (2017) - 2016
- [j39]Kia Khezeli, Jun Chen:
A Source-Channel Separation Theorem With Application to the Source Broadcast Problem. IEEE Trans. Inf. Theory 62(4): 1764-1781 (2016) - [j38]Yuhan Zhou, Yinfei Xu, Wei Yu, Jun Chen:
On the Optimal Fronthaul Compression and Decoding Strategies for Uplink Cloud Radio Access Networks. IEEE Trans. Inf. Theory 62(12): 7402-7418 (2016) - [c39]Chao Tian, Jun Chen:
Caching and delivery via interference elimination. ISIT 2016: 830-834 - [c38]Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang:
When is noisy state information at the encoder as useless as no information or as good as noise-free state? ISIT 2016: 890-894 - [c37]Jun Chen, Hao Ye, Chao Tian, Tie Liu, Zhiqing Xiao:
Cyclically symmetric entropy inequalities. ISIT 2016: 2299-2303 - [c36]Jun Chen, Amir Salimi, Tie Liu, Chao Tian:
Orbit-entropy cones and extremal pairwise orbit-entropy inequalities. ISIT 2016: 2614-2618 - [i14]Chao Tian, Jun Chen:
Caching and Delivery via Interference Elimination. CoRR abs/1604.08600 (2016) - [i13]Yinfei Xu, Jun Chen, Qiao Wang:
The Sum Rate of Vector Gaussian Multiple Description Coding with Tree-Structured Covariance Distortion Constraints. CoRR abs/1607.08297 (2016) - [i12]Yuhan Zhou, Yinfei Xu, Wei Yu, Jun Chen:
On the Optimal Fronthaul Compression and Decoding Strategies for Uplink Cloud Radio Access Networks. CoRR abs/1608.05768 (2016) - [i11]Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang:
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? CoRR abs/1611.00270 (2016) - 2015
- [j37]Qi Shi, Lin Song, Chao Tian, Jun Chen, Sorina Dumitrescu:
Polar Codes for Multiple Descriptions. IEEE Trans. Inf. Theory 61(1): 107-119 (2015) - [j36]Lin Song, Jun Chen, Chao Tian:
Broadcasting Correlated Vector Gaussians. IEEE Trans. Inf. Theory 61(5): 2465-2477 (2015) - [j35]Kia Khezeli, Jun Chen:
Outer Bounds on the Admissible Source Region for Broadcast Channels With Correlated Sources. IEEE Trans. Inf. Theory 61(9): 4616-4629 (2015) - [j34]Zhiqing Xiao, Jun Chen, Yunzhou Li, Jing Wang:
Distributed Multilevel Diversity Coding. IEEE Trans. Inf. Theory 61(11): 6368-6384 (2015) - [c35]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai:
Matched multiuser Gaussian source-channel communications via uncoded schemes. ISIT 2015: 476-480 - [c34]Farrokh Etezadi, Ashish Khisti, Jun Chen:
Price of perfection: Limited prediction for streaming over erasure channels. ISIT 2015: 1392-1396 - [c33]Yinfei Xu, Jun Chen, Qiao Wang:
On the sum rate of multiple description coding with tree-structured distortion constraints. ISIT 2015: 1781-1785 - [c32]Yuhan Zhou, Yinfei Xu, Jun Chen, Wei Yu:
Optimality of gaussian fronthaul compression for uplink MIMO cloud radio access networks. ISIT 2015: 2241-2245 - [i10]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai:
Matched Multiuser Gaussian Source-Channel Communications via Uncoded Schemes. CoRR abs/1502.05428 (2015) - [i9]Lin Song, Jun Chen, Chao Tian:
Broadcasting Correlated Vector Gaussians. CoRR abs/1503.02927 (2015) - [i8]Zhiqing Xiao, Jun Chen, Yunzhou Li, Jing Wang:
Distributed Multilevel Diversity Coding. CoRR abs/1505.00026 (2015) - [i7]Jun Chen, Da-ke He, Ashish Jagmohan, Luis Alfonso Lastras-Montaño:
On the Reliability Function of Variable-Rate Slepian-Wolf Coding. CoRR abs/1505.01137 (2015) - 2014
- [j33]Jihai Cao, Steve Hranilovic, Jun Chen:
Capacity-Achieving Distributions for the Discrete-Time Poisson Channel - Part I: General Properties and Numerical Techniques. IEEE Trans. Commun. 62(1): 194-202 (2014) - [j32]Jihai Cao, Steve Hranilovic, Jun Chen:
Capacity-Achieving Distributions for the Discrete-Time Poisson Channel - Part II: Binary Inputs. IEEE Trans. Commun. 62(1): 203-213 (2014) - [j31]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai:
Optimality and Approximate Optimality of Source-Channel Separation in Networks. IEEE Trans. Inf. Theory 60(2): 904-918 (2014) - [j30]Jia Wang, Jun Chen:
Vector Gaussian Multiterminal Source Coding. IEEE Trans. Inf. Theory 60(9): 5533-5552 (2014) - [j29]Lin Song, Shuo Shao, Jun Chen:
A Lower Bound on the Sum Rate of Multiple Description Coding With Symmetric Distortion Constraints. IEEE Trans. Inf. Theory 60(12): 7547-7567 (2014) - [c31]Kia Khezeli, Jun Chen:
An improved outer bound on the admissible source region for broadcast channels with correlated sources. ISIT 2014: 466-470 - [c30]Qi Shi, Lin Song, Chao Tian, Jun Chen, Sorina Dumitrescu:
Polar codes for multiple descriptions. ISIT 2014: 1628-1632 - [c29]Kia Khezeli, Jun Chen:
A source-channel separation theorem with application to the source broadcast problem. ISIT 2014: 2132-2136 - 2013
- [j28]Jihai Cao, Jun Chen, Steve Hranilovic:
Discreteness of Sum-Capacity-Achieving Distributions for Discrete-Time Poisson Multiple Access Channels with Peak Constraints. IEEE Commun. Lett. 17(8): 1644-1647 (2013) - [j27]Jihai Cao, Steve Hranilovic, Jun Chen:
Capacity and Nonuniform Signaling for Discrete-Time Poisson Channels. JOCN 5(4): 329-337 (2013) - [j26]Yuhua Fan, Jia Wang, Jun Sun, Jun Chen:
On the Generalization of Natural Type Selection to Multiple Description Coding. IEEE Trans. Commun. 61(4): 1361-1373 (2013) - [j25]Lin Song, Jun Chen, Jia Wang, Tie Liu:
Gaussian Robust Sequential and Predictive Coding. IEEE Trans. Inf. Theory 59(6): 3635-3652 (2013) - [j24]Jia Wang, Jun Chen:
Vector Gaussian Two-Terminal Source Coding. IEEE Trans. Inf. Theory 59(6): 3693-3708 (2013) - [c28]Lin Song, Shuo Shao, Jun Chen:
On symmetric multiple description coding. ITW 2013: 1-5 - 2012
- [j23]Jun Chen, Ying Zhang, Sorina Dumitrescu:
Gaussian Multiple Description Coding with Low-Density Generator Matrix Codes. IEEE Trans. Commun. 60(3): 676-687 (2012) - [j22]Ying Zhang, Sorina Dumitrescu, Jun Chen, Zhibin Sun:
LDGM-Based Multiple Description Coding for Finite Alphabet Sources. IEEE Trans. Commun. 60(12): 3671-3682 (2012) - [c27]Lin Song, Jun Chen, Chao Tian:
Broadcast correlated Gaussians: The vector-scalar case. ISIT 2012: 199-203 - [c26]Jia Wang, Jun Chen:
On the vector Gaussian L-terminal CEO problem. ISIT 2012: 571-575 - [c25]Lin Song, Jun Chen, Jia Wang, Tie Liu:
Gaussian robust sequential and predictive coding. ISIT 2012: 1361-1365 - [c24]Jia Wang, Jun Chen:
On vector Gaussian multiterminal source coding. ITW 2012: 182-186 - 2011
- [j21]Jia Wang, Jun Chen, Lei Zhao, Paul Cuff, Haim H. Permuter:
On the Role of the Refinement Layer in Multiple Description Coding and Scalable Coding. IEEE Trans. Inf. Theory 57(3): 1443-1456 (2011) - [c23]Lin Song, Jun Chen:
On the capacity of finite-state channels with noisy state information at the encoder. CHINACOM 2011: 274-278 - [c22]Jun Chen, Jia Wang:
Vector Gaussian multiple description coding with individual and central distortion constraints. ISIT 2011: 1693-1697 - [c21]Jun Chen, Jia Wang:
On the vector Gaussian CEO problem. ISIT 2011: 2050-2054 - 2010
- [j20]Zhibin Sun, Chao Tian, Jun Chen, Kon Max Wong:
LDPC code design for asynchronous Slepian-Wolf coding. IEEE Trans. Commun. 58(2): 511-520 (2010) - [j19]Zhibin Sun, Mingkai Shao, Jun Chen, Kon Max Wong, Xiaolin Wu:
Achieving the rate-distortion bound with low-density generator matrix codes. IEEE Trans. Commun. 58(6): 1643-1653 (2010) - [j18]Jun Chen, Sorina Dumitrescu, Ying Zhang, Jia Wang:
Robust Multiresolution Coding. IEEE Trans. Commun. 58(11): 3186-3195 (2010) - [j17]Jun Chen, Haim H. Permuter, Tsachy Weissman:
Tighter bounds on the capacity of finite-state channels via Markov set-chains. IEEE Trans. Inf. Theory 56(8): 3660-3691 (2010) - [j16]Jia Wang, Jun Chen, Xiaolin Wu:
On the sum rate of Gaussian multiterminal source coding: new proofs and results. IEEE Trans. Inf. Theory 56(8): 3946-3960 (2010) - [j15]Chao Tian, Jun Chen:
New coding schemes for the symmetric K -description problem. IEEE Trans. Inf. Theory 56(10): 5344-5365 (2010) - [c20]Jun Chen, Sorina Dumitrescu, Ying Zhang, Jia Wang:
Robust multiresolution coding with Hamming distortion measure. ISIT 2010: 6-10 - [c19]Jia Wang, Jun Chen:
On the sum rate of vector Gaussian multiterminal source coding. ISIT 2010: 46-50 - [c18]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai:
Optimality and approximate optimality of source-channel separation in networks. ISIT 2010: 495-499 - [i6]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai:
Optimality and Approximate Optimality of Source-Channel Separation in Networks. CoRR abs/1004.2648 (2010)
2000 – 2009
- 2009
- [j14]Jun Chen, Dake He, Ashish Jagmohan:
The equivalence between slepian-wolf coding and channel coding under density evolution. IEEE Trans. Commun. 57(9): 2534-2540 (2009) - [j13]Haim H. Permuter, Tsachy Weissman, Jun Chen:
Capacity region of the finite-state multiple-access channel with and without feedback. IEEE Trans. Inf. Theory 55(6): 2455-2477 (2009) - [j12]Jun Chen, Chao Tian, Suhas N. Diggavi:
Multiple description coding for stationary Gaussian sources. IEEE Trans. Inf. Theory 55(6): 2868-2881 (2009) - [j11]Jun Chen:
Rate region of Gaussian multiple description coding with individual and central distortion constraints. IEEE Trans. Inf. Theory 55(9): 3991-4005 (2009) - [j10]Jun Chen, Dake He, Ashish Jagmohan:
On the duality between Slepian-Wolf coding and channel coding under mismatched decoding. IEEE Trans. Inf. Theory 55(9): 4006-4018 (2009) - [j9]Chao Tian, Jun Chen:
Remote vector Gaussian source coding with decoder side information under mutual information and distortion constraints. IEEE Trans. Inf. Theory 55(10): 4676-4680 (2009) - [j8]Jun Chen, Dake He, Ashish Jagmohan, Luis Alfonso Lastras-Montaño, En-Hui Yang:
On the linear codebook-level duality between Slepian-Wolf coding and channel coding. IEEE Trans. Inf. Theory 55(12): 5575-5590 (2009) - [j7]Dake He, Luis Alfonso Lastras-Montaño, En-Hui Yang, Ashish Jagmohan, Jun Chen:
On the redundancy of Slepian--Wolf coding. IEEE Trans. Inf. Theory 55(12): 5607-5627 (2009) - [c17]Ying Zhang, Sorina Dumitrescu, Jun Chen, Zhibin Sun:
LDGM-based codes for successive refinement. Allerton 2009: 1518-1524 - [c16]Jun Chen, Chao Tian:
Capacity Region of Reversely Degraded Gaussian MIMO Broadcast Channel. GLOBECOM 2009: 1-6 - [c15]Jun Chen:
Gaussian multiple description coding with individual and central distortion constraints. ISIT 2009: 46-50 - [c14]Zhibin Sun, Chao Tian, Jun Chen, Kon Max Wong:
Asynchronous Slepian-Wolf code design. ISIT 2009: 869-873 - [c13]Jia Wang, Jun Chen, Xiaolin Wu:
On the minimum sum rate of Gaussian multiterminal source coding: New proofs. ISIT 2009: 1463-1467 - [c12]Chao Tian, Jun Chen:
Quantization splitting for symmetric K-channel multiple descriptions. ITW 2009: 256-260 - [i5]Jia Wang, Jun Chen, Lei Zhao, Paul Cuff, Haim H. Permuter:
A Random Variable Substitution Lemma With Applications to Multiple Description Coding. CoRR abs/0909.3135 (2009) - 2008
- [j6]Chao Tian, Jun Chen, Suhas N. Diggavi:
Multiuser Successive Refinement and Multiple Description Coding. IEEE Trans. Inf. Theory 54(2): 921-931 (2008) - [j5]Jun Chen, Toby Berger:
Successive Wyner-Ziv Coding Scheme and Its Application to the Quadratic Gaussian CEO Problem. IEEE Trans. Inf. Theory 54(4): 1586-1603 (2008) - [j4]Jun Chen, Toby Berger:
Robust Distributed Source Coding. IEEE Trans. Inf. Theory 54(8): 3385-3398 (2008) - [j3]Chao Tian, Jun Chen:
Successive Refinement for Hypothesis Testing and Lossless One-Helper Problem. IEEE Trans. Inf. Theory 54(10): 4666-4681 (2008) - [c11]Jun Chen, Dake He, Ashish Jagmohan, Luis Alfonso Lastras-Montaño:
On Universal Variable-Rate Slepian-Wolf Coding. ICC 2008: 1426-1430 - [c10]Haim H. Permuter, Tsachy Weissman, Jun Chen:
New bounds for the capacity region of the Finite-State Multiple Access Channel. ISIT 2008: 394-398 - [c9]Jun Chen, Haim H. Permuter, Tsachy Weissman:
On the capacity of finite-state channels. ISIT 2008: 1223-1227 - [c8]Chao Tian, Jun Chen:
A novel coding scheme for symmetric multiple description coding. ISIT 2008: 1418-1422 - [c7]Jun Chen, Da-ke He, Ashish Jagmohan:
Slepian-Wolf coding with a mismatched decoder. ISIT 2008: 1428-1432 - [i4]Haim H. Permuter, Tsachy Weissman, Jun Chen:
New Bounds for the Capacity Region of the Finite-State Multiple Access Channel. CoRR abs/0802.1380 (2008) - 2007
- [j2]Jun Chen, Venugopal V. Veeravalli:
Capacity Results for Block-Stationary Gaussian Fading Channels With a Peak Power Constraint. IEEE Trans. Inf. Theory 53(12): 4498-4520 (2007) - [c6]Jun Chen, Chao Tian, Suhas N. Diggavi:
Multiple Description Coding for Stationary and Ergodic Sources. DCC 2007: 73-82 - [c5]Jun Chen, Da-ke He, Ashish Jagmohan, Luis Alfonso Lastras-Montaño:
On the Redundancy-Error Tradeoff in Slepian-Wolf Coding and Channel Coding. ISIT 2007: 1326-1330 - [c4]Chao Tian, Jun Chen:
Hypothesis Testing Under Successive Refinement Communication Constraints. ISIT 2007: 2206-2210 - [i3]Chao Tian, Jun Chen, Suhas N. Diggavi:
Multiuser Successive Refinement and Multiple Description Coding. CoRR abs/0707.4133 (2007) - 2006
- [j1]Jun Chen, Chao Tian, Toby Berger, Sheila S. Hemami:
Multiple Description Quantization Via Gram-Schmidt Orthogonalization. IEEE Trans. Inf. Theory 52(12): 5197-5217 (2006) - [c3]Jun Chen, Dake He, Ashish Jagmohan:
Slepian-Wolf Code Design via Source-Channel Correspondence. ISIT 2006: 2433-2437 - [i2]Jun Chen, Dake He, Ashish Jagmohan:
Slepian-Wolf Code Design via Source-Channel Correspondence. CoRR abs/cs/0607021 (2006) - 2005
- [c2]Yegnaswamy Sermadevi, Jun Chen, Sheila S. Hemami, Toby Berger:
When is Bit Allocation for Predictive Video Coding Easy? DCC 2005: 289-298 - [c1]Jun Chen, Chao Tian, Toby Berger, Sheila S. Hemami:
A new class of universal multiple description lattice quantizers. ISIT 2005: 1803-1807 - [i1]Jun Chen, Chao Tian, Toby Berger, Sheila S. Hemami:
Multiple Description Quantization via Gram-Schmidt Orthogonalization. CoRR abs/cs/0504003 (2005)
Coauthor Index
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