陈为

博士、教授、国家优秀青年科学基金获得者

基本信息

办公电话： 电子邮件： weich@bjtu.edu.cn
通讯地址：思源楼813 邮编：100044

教育背景

*2009~2013 英国剑桥大学，获得计算机科学专业博士学位
*2006~2009 北京邮电大学，获得通信与信息系统硕士学位
*2002~2006 北京邮电大学，获得通信工程学士学位


- 研究方向：5G/6G无线通信系统、智慧信息获取与处理、人工智能

- 理论与产学研结合：承担多项国家级和省部级项目，与中兴、VIVO、联发科、百度、腾讯等国际知名企业开展项目合作

- 招生：每年招收若干名硕士、博士研究生，有意向保研、直博的学生尽量提前联系（隶属电信学院无线一组/现代通信研究所） 

- 实习：欢迎有科研兴趣的本科生来实验室实习（包括但不限于参加卓越班、大创等）

指导的研究生/本科生毕业生去向包括：工作（外交部、中国移动、OPPO、京东等）、出国深造（斯坦福大学、帝国理工大学、南加州大学等）

工作经历

现任职：

* 北京交通大学，教授，博士生导师
* 北京市高速铁路宽带移动通信工程技术研究中心，副主任
* 宽带移动信息通信铁路行业重点实验室，副主任
* 数智轨道交通研究院，副院长

曾任职：
* 英国剑桥大学，Research Associate (博士后)

研究方向

  • 宽带移动通信系统与专用移动通信
  • 信息处理与人工智能
  • 通信工程
  • 人工智能
  • 新一代电子信息技术

招生专业

  • 信息与通信工程博士
  • 人工智能博士
  • 通信工程（含宽带网络、移动通信等）博士
  • 新一代电子信息技术（含量子技术等）博士
  • 信息与通信工程硕士
  • 人工智能硕士
  • 通信工程（含宽带网络、移动通信等）硕士
  • 新一代电子信息技术（含量子技术等）硕士

科研项目

部分在研项目：

1.国家自然科学基金优秀青年科学基金:面向高效能无线通信的压缩感知理论与技术，主持
2.国家重点研发计划：通信与AI融合的无线网络架构与关键技术研究（任务），主持
3.广东省重点领域研发计划：B5G新型接入与传输技术研究与验证（任务），主持
4.北京市自然科学基金-丰台轨道交通前沿研究联合基金：基于视频监控的小样本铁路障碍物识别技术，主持

已结题项目：包括国家自然科学基金面上项目、国家重点研发计划战略性国际科技创新合作重点专项、北京市自然科学基金面上项目、CCF-百度松果基金、CCF-腾讯犀牛鸟创意基金等


合作导师：

剑桥大学Ian Wassell

伦敦大学学院Miguel Rodrigues

奥尔堡大学 Petar Popovski

微软David Wipf

北京交通大学钟章队教授、艾渤教授、王公仆教授等

教学工作

主讲课程: 本科主干课程《无线通信基础》、博士生课程《学术英语》


指导在读研究生：

2024年入学：成家明（博）、高崧龄（博）、郁聪（协、博）、李玟、董泽赟（联）、程浩（联）、吴旭东、栗浩瑞、肖玮璇
2023年入学：陈奥（博）、朱萌萌（博）、汤曾子芃、白方、代威强、陈浩（协）
2022年入学：郭疆远（博）、郭毅然（博）、孙忠文、蒋蔚然
2021年入学：程昱堃（博）、
2020年入学：郭磊（博）、鲁岚（协、博）、杨佳攀（协、博）
2019年入学：王思远（博）

已毕业研究生（导师/协助指导）：

2024年：梁诗雨（硕，中国移动研究院）、王诗月（硕，中国电信研究院）、褚智航（硕，爱立信）、尹涵（硕，中国电信）
2023年：白艳娜（博，三星）、许佳龙（博，DOCOMO）、宫啸(博，院优博，华为)、万伟潇（硕，中国移动）、陈旭颖（硕，中船）、刘贸林（硕，长安汽车）
2022年：胡启蕾（硕，中兴）、白宇安（硕，中国通号）、乔建森（硕，航天三院）
2021年：张博文（硕，帝国理工大学读博）
2020年：肖寒（硕，中国通信学会优硕、校优硕，OPPO）、李玓（硕，京东）
2019年：涂淑琪（硕，中国移动）
2018年：白艳娜（硕，院优硕，攻读博士）
2017年：祁佳明（硕，外交部）、宋楠（硕，校优硕，华为3COM）
2016年：肖帆（硕，华为3COM）

论文/期刊

通讯/第一作者期刊论文：

  1. Xiao Gong, Wei Chen*, Bo Ai, Geert Leus, "Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation," IEEE Transactions on Communications (TCOM), 2024.
  2. Wei Chen, Yuanwei Liu*, Hamid Jafarkhani, Yonina C. Eldar, Peiying Zhu, Khaled B Letaief, "Signal Processing and Learning for Next Generation Multiple Access in 6G," IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2024.
  3. Yiran Guo, Wei Chen*, Feifei Sun, Jiaming Cheng, Michail Matthaiou, Bo Ai, “Deep Learning for CSI Feedback: One-Sided Model and Joint Multi-Module Learning Perspectives,” IEEE Communications Magazine (COM-M), 2024. 
  4. Yiran Guo, Wei Chen*, Jialong Xu, Lun Li, Bo Ai, “Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems,” IEEE Transactions on Vehicular Technology (TVT), 2024. 
  5. Wei Chen, Weixiao Wan, Shiyue Wang, Peng Sun, Geoffrey Ye Li, Bo Ai*, "CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback," IEEE Transactions on Wireless Communications (TWC), 23(7):7599-7611, 2024.
  6. Yukun Cheng, Wei Chen*, Bo Ai, "Building Semantic Communication System via Molecules: An End-to-End Training Approachs," China Communications, 21(7):113-124, 2024.
  7. Yanna Bai, Wei Chen*, Bo Ai, Petar Popovski, "Deep Learning for Asynchronous Massive Access with Data Frame Length Diversity," IEEE Transactions on Wireless Communications (TWC), 23(6):5529-5540, 2024.
  8. Weixiao Wan, Wei Chen*, Shiyue Wang, Geoffrey Ye Li, Bo Ai, "Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems," IEEE Transactions on Communications (TCOM), 72(7):4149-4162, 2024.
  9. Yukun Cheng, Wei Chen*, Lun Li, Bo Ai*, "Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach," IEEE Transactions on Vehicular Technology (TVT), 73(5):7374-7378, 2024.
  10. Shiyu Liang, Wei Chen*, Zhongwen Sun, Ao Chen, Bo Ai, "Cluster-Based Massive Access for Massive MIMO Systems," China Communications, 21(1):24-33, 2024.
  11. Shiyue Wang, Han Zhang*, Wei Chen*, Ning Wang, Bo Ai*, "Compressed Sensing Based Data Acquisition via Intelligent Vehicles," IEEE Sensors Letters, 8(3):1-4, 2024.
  12. 陈为, 艾渤, "下一代多址技术的挑战与关键进展," 中兴通讯技术, 30(1):82-88, 2024.
  13. Jialong Xu, Tze-Yang Tung, Bo Ai*, Wei Chen*, Yuxuan Sun, Deniz Gunduz, "Deep Joint Source-Channel Coding for Semantic Communications," IEEE Communications Magazine (COM-M), 61(11):42-48, 2023.
  14. Jialong Xu, Bo Ai*, Wei Chen*, Ning Wang, Miguel Rodrigues, "Deep Joint Source-Channel Coding for Image Transmission with Visual Protection," IEEE Transactions on Cognitive Communications and Networking (TCCN), 9(6):1399-1411, 2023.
  15. Xiao Gong, Wei Chen*, Lei Sun, Jie Chen, Bo Ai, "An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems," IEEE Transactions on Signal Processing (TSP), 71:555-570, 2023.
  16. Jialong Xu, Bo Ai*, Ning Wang, Wei Chen*, "Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach," IEEE Journal on Selected Areas in Communications (JSAC), 41(1):260-273, 2023.
  17. Xuying Chen, Wei Chen*, Xiao Gong, Bo Ai, Ian Wassell, "Wireless Channel Estimation for High-Speed Rail Communications: Challenges, Solutions and Future Directions," 1(1):18-22, High-speed Railway, 2023.
  18. Yanna Bai, Wei Chen*, Feifei Sun, Bo Ai, Petar Popovski, "Data-Driven Compressed Sensing for Massive Wireless Access," IEEE Communications Magazine (COM-M), 60(11):28-34, 2022.
  19. Wei Chen*, Han Xiao, Lei Sun, Bo Ai, "Joint Activity Detection and Channel Estimation in Massive MIMO Systems With Angular Domain Enhancement," IEEE Transactions on Wireless Communications (TWC), 21(5):2999-3011, 2022.
  20. Jialong Xu, Bo Ai*, Wei Chen*, Ang Yang, Peng Sun, Miguel Rodrigues, "Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),  32(4):2315-2328, 2022.
  21. Xiao Gong, Xi Chen, Zhangdui Zhong, Wei Chen*, "Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance," IEEE Transactions on Intelligent Transportation Systems (ITS), 23(8):11301-11313, 2022.
  22. Jiansen Qiao, Wei Chen*, Jie Chen, Bo Ai, "Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach," IEEE Communications Letters (CL), 26(5):1027-1031, 2022.
  23. Weixiao Wan, Bowen Zhang, Marija Vella, Joao F.C. Mota, Wei Chen*, "Robust RGB-Guided Super-Resolution of Hyperspectral Images via TV3 Minimization," IEEE Signal Processing Letters (SPL), 29:957-961, 2022.
  24. Yanna Bai, Wei Chen*, Bo Ai, Zhangdui Zhong, Ian Wassell, "Prior Information Aided Deep Learning Method for Grant-free NOMA in mMTC," IEEE Journal on Selected Areas in Communications (JSAC), 40(1):112-126, 2022.
  25. Wei Chen*, Bowen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong, "Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth," IEEE Journal on Selected Areas in Communications (JSAC),  39(1):4-17, 2021.
  26. Wei Chen*, Ruisi He, Gongpu Wang, Jiayi Zhang, Fanggang Wang, Ke Xiong, Bo Ai, Zhangdui Zhong, "AI Assisted PHY in Future Wireless Systems: Recent Developments and Challenges," 18(5): 285–297, China Communications, 2021.
  27. Han Xiao, Wei Chen*, Jun Fang, Bo Ai, Ian Wassell, "A Grant-free Method for Massive Machine-Type Communication with Backward Activity Level Estimation," IEEE Transactions on Signal Processing (TSP), 68:6665-6680, 2020.
  28. Wei Chen*, Nikos Deligiannis, Yiannis Andreopoulos, Ian J. Wassell, "On the Energy Self-Sustainability of IoT via Distributed Compressed Sensing," China Communications,  17(12):37-51,2020.
  29. Xiao Gong, Wei Chen*, Jie Chen, Bo Ai, "Tensor Denoising Using Low-Rank Tensor Train Decomposition," IEEE Signal Processing Letters (SPL), 27:1685-1689,2020.
  30. Yanna Bai, Wei Chen*, Jie Chen, Weisi Guo, "Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms," Elsevier Signal Processing, 177:1-23, 2020.
  31. Yanna Bai, Wei Chen*, Bo Ai, Zhangdui Zhong, "Contention-Based Nonorthogonal Massive Access with Massive MIMO,"China Communications, 17(11):79-90, 2020.
  32. Xiao Gong, Wei Chen*, Jie Chen, "A Low-rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising," IEEE Transactions on Signal Processing (TSP), 68:1168-1180, 2020.
  33. Wei Chen*, Xiao Gong, Nan Song, "Nonconvex Robust Low-Rank Tensor Reconstruction via an Empirical Bayes Method," IEEE Transactions on Signal Processing (TSP), 67(22):5785-5797, 2019.
  34. Wei Chen*, "Simultaneously Sparse and Low-Rank Matrix Reconstruction via Nonconvex and Nonseparable Regularization," IEEE Transactions on Signal Processing (TSP), 66(20):5313-5323, 2018. Download Matlab Code
  35. Jiaming Qi, Wei Chen*, "Learning a Discriminative Dictionary for Classification with Outliers," Elsevier Signal Processing, 152:255-264, 2018.
  36. Wei Chen*, "Simultaneous Sparse Bayesian Learning With Partially Shared Supports," IEEE Signal Processing Letters (SPL), 24(11):1641-1645, 2017. 
  37. Xin Ding, Wei Chen*, Ian Wassell, "Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing," IEEE Transactions on Signal Processing (TSP), 65(14):3632-3646, 2017.
  38. Xin Ding, Wei Chen*, Ian Wassell, "Compressive Sensing Reconstruction for Video: an Adaptive Approach Based on Motion Estimation," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 27(7):1406-1420, 2017.
  39. Wei Chen*, David Wipf, Yu Wang, Yang Liu, Ian Wassell, "Simultaneous Bayesian Sparse Approximation With Structured Sparse Models," IEEE Transactions on Signal Processing (TSP), 64(23):6145-6159, 2016. Download Matlab Code
  40. Wei Chen*, Ian Wassell, "Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks," IEEE Transactions on Signal Processing (TSP), 64(9):2314-2323, 2016.
  41. Wei Chen*, Ian Wassell, "A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems," IEEE Transactions on Wireless Communications (TWC), 15(2):1282-1292, 2016.
  42. Wei Chen*, Ian Wassell, "Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks," IEEE Transactions on Vehicular Technology (TVT), 65(2):827-836, 2016.
  43. Wei Chen*, Ian Wassell, Miguel Rodrigues, "Dictionary Design for Distributed Compressive Sensing," IEEE Signal Processing Letters (SPL), 22(1):95-99, 2015.
  44. Wei Chen*, Miguel Rodrigues, Ian Wassell, "Projection design for statistical compressive sensing: a tight frame based approach,"IEEE Transactions on Signal Processing (TSP), 61(8):2016-2029, 2013. 
  45. Wei Chen*, Miguel Rodrigues, "Dictionary Learning With Optimized Projection Design For Compressive Sensing Applications," IEEE Signal Processing Letters (SPL), 20(10):992-995, 2013. 
  46. Wei Chen*, Miguel Rodrigues, Ian Wassell, "A Fréchet Mean Approach for Compressive Sensing Data Acquisition and Reconstruction in Wireless Sensor Network," IEEE Transactions on Wireless Communications (TWC), 11(10):3598-3606, 2012. 
  47. Wei Chen*, Miguel Rodrigues, Ian Wassell, "On the use of unit-norm tight frames to improve the average MSE performance in compressive sensing applications," IEEE Signal Processing Letters (SPL), 19(1):8-11, 2012. 
  48. Wei Chen*, Ian Wassell, "Energy Efficient Signal Acquisition in Wireless Sensor Networks: A Compressive Sensing Framework," IET Wireless Sensor Systems, 2(1):1-8, 2012. (IET Premium Award)

共同作者期刊论文：

  1. Yang Lu, Yuhang Li, Ruichen Zhang, Wei Chen, Bo Ai, Dusit Niyato, "Graph Neural Networks for Wireless Networks: Graph Representation, Architecture and Evaluation," IEEE Wireless Communications, 2024.
  2. Haoyuan Cai, Maboud Kaloorazi, Jie Chen, Wei Chen, Cédric Richard, "Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm," IEEE Transactions on Vehicular Technology (TVT), 72(6):7597-7612, 2023.
  3. 许佳龙, 陈为, 艾渤, "基于深度联合信源信道编码的 CSI 反馈技术," 中兴通讯技术, 29(2):29-33, 2023.
  4. 杨佳攀, 陈为, 艾渤, "基于深度展开神经网络的融合感知通信场景信道估计," 移动通信, 47(9):64-70, 2023.
  5. Yikun Mei, Zhen Gao, Yongpeng Wu, Wei Chen, Jun Zhang, Derrick Wing Kwan Ng, Marco Di Renzo, "Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive IoT Access," IEEE Transactions on Wireless Communications (TWC), 21(3):1851-1869, 2022.
  6. 钟章队, 官科, 陈为, 艾渤, "铁路新一代移动通信的挑战与思考," 中兴通讯技术, 27(4):44-50, 2021.（中国通信学会2022年度信息通信领域优秀科技论文）
  7. Min Zhao, Tiande Gao, Jie Chen, Wei Chen, "Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors," IEEE Geoscience and Remote Sensing Letters (GRSL), 19:1-5, 2021.
  8. Yuan Ma, Silei Ren, Wei Chen, Zhi Quan, "Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems without Channel Estimation," IEEE Wireless Communications Letters (WCL), 10(12):2747-2751, 2021.
  9. Haoyuan Cai, Yingke Zhao, Jie Chen, Wei Chen, "Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach," IEEE Signal Processing Letters (SPL), 28:404-408, 2021. 
  10. Min Zhao, Tiande Gao, Jie Chen, Wei Chen, "A Plug-and-Play Priors Framework for Hyperspectral Unmixing," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 60:5501213, 2021.
  11. Hainan Wang, Baochang Zhang, Wei Chen, "Robust and real‑time object recognition based on multiple fractal dimension," Multimedia Tools and Applications, 80:36585–36603, 2021.
  12. Qingbi Zheng, Ruisi He, Bo Ai, Chen Huang, Wei Chen, Zhangdui Zhong, Haoxiang Zhang, "Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks," IEEE Wireless Communications Letters (WCL), 9(9):1500-1504, 2020.
  13. Zhuangkun Wei, Alessio Pagani, Guangtao Fu, Ian Guymer, Wei Chen, Julie McCann, Weisi Guo, "Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform," IEEE Transactions on Network Science and Engineering (TNSE), 7(3):1570-1582, 2020.
  14. Chunyu Xie, Ce Li, Baochang Zhang, Lili Pan, Qixiang Ye, Wei Chen, "Hierarchical Residual Stochastic Networks for Time Series Recognition," Information Sciences, 471:52-63, 2019.
  15. Yangqing Li, Changchuan Yin, Wei Chen, Zhu Han, "Approximate Message Passing for Structured Affine Rank Minimization Problem," IEEE Access, pp. 100093-10107, 2017.
  16. Ruisi He, Wei Chen, Bo Ai, Andreas F. Molisch, Wei Wang, Zhangdui Zhong, Jian Yu, Seun Sangodoyin, "On the Clustering of Radio Channel Impulse Responses Using Sparsity-Based Methods," IEEE Transactions on Antennas and Propagation (TAP), 64(6):2465-2474, 2016.


机器学习A+类会议论文

  1. Yang Liu, Qingchao Chen, Wei Chen, Ian Wassell, "Dictionary Learning Inspired Deep Network for Scene Recognition" The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), Lousiana, USA, Feb. 2018.
  2. Wei Chen, Nan Song, "Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach" International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017.
  3. Yang Liu, Wei Chen, Qingchao Chen, Ian Wassell, "Support Discrimination Dictionary Learning for Image Classification" European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
  4. Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell, "Multi-Task Learning for Subspace Segmentation," International Conference on Machine Learning (ICML), Lille, France, July 2015.
  5. Yu Wang, David Wipf, Jeong Min Yun, Wei Chen, Ian J. Wassell, "Clustered Sparse Bayesian Learning," The Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, Netherlands, July 2015.

通信、信号/图像处理会议论文

  1. Shiyue Wang, Wei Chen, Wen Li, Yuanyuan Zhang, Xiaofang Sun, Bo Ai, "Spatial-Temporal Beam Prediction: A Deep Learning-Based Approach With Compressed Multi-Beam Measurements," The Sixteenth International Conference on Wireless Communications and Signal Processing (WCSP), Hefei, China, Oct., 2024.
  2. Shiyu Liang, Wei Chen, Xiaofang Sun, Tianwei Hou, Jun Fang, Zhangdui Zhong, Bo Ai, "Convolutional Deep Unfolding Network for Asynchronous Active User Detection and Channel Estimation," The Sixteenth International Conference on Wireless Communications and Signal Processing (WCSP), Hefei, China, Oct., 2024.
  3. Zhongwen Sun, Wei Chen, Yuxuan Sun, Xiaoqi Qin, Tianwei Hou, Lun Li, Bo Ai, "Deep Learning-Based Grant-Free Massive Access With Age-of-Information Minimization," IEEE International Workshop on Machine Learning for Signal Processing (MLSP), London, UK, Sept., 2024.
  4. Zhihang Chu, Wei Chen, Zhijin Qin, "Deep Learning-Based CTU Splitting and Dynamic GOP Adjusting for Semantic Aware Video Compression," IEEE International Workshop on Machine Learning for Signal Processing (MLSP), London, UK, Sept., 2024.
  5. Weiran Jiang, Wei Chen, Bo Ai, "Deep Joint Source Channel Coding With Attention Modules Over MIMO Channels," IEEE Vehicular Technology Conference (VTC), Singapore, June, 2024.
  6. Shiyu Liang, Wei Chen, Ning Wang, Bo Ai, "Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO," IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec., 2023.
  7. Maolin Liu, Wei Chen, Jialong Xu, Bo Ai, "A Comprehensive Study of PAPR Reduction Techniques for Deep Joint Source Channel Coding in OFDM Systems," IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct., 2023.
  8. Jiangyuan Guo, Wei Chen, Chuan Zhou, Zhuoyi Lv, Bo Ai, "Adaptive CNN-Enhanced In-Loop Filter for Lossy Video Coding," IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct., 2023.
  9. Zhihang Chu, Wei Chen, Ning Wang, Bo Ai, " Deep Joint Source-Channel Coding for Person Re-Identification With Related Image Sources," IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct., 2023.
  10. Jiaming Cheng, Wei Chen, Jialong Xu, Yiran Guo, Lun Li, Bo Ai, "Swin Transformer-Based CSI Feedback for Massive MIMO," IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct., 2023.
  11. Shiyue Wang, Wei Chen, Xuying Chen, Yuanyuan Zhang, Bo Ai, "Deep Learning-Based Beam Pair Prediction With Finite Beam Quality Information," IEEE International Conference on Communication Technology (ICCT), Wuxi, China, Oct., 2023.
  12. Xuyin Chen, Wei Chen, Lei Cao, Ning Wang, Bo Ai, "RIS-Aided Communication with Compressed Sensing Channel Estimation: Analysis and Discrete Phase Shifts Design," IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, Aug., 2023.  (Best Paper Award)
  13. Siyuan Wang, Wei Chen, Bo Ai, "Off-grid DOA Estimation on Uniform Plane Array Based on Structured Sparse Bayesian Learning," IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, Aug., 2023.
  14. Lei Guo, Wei Chen, Yuxuan Sun, Bo Ai, "Device-Edge Digital Semantic Communication with Trained Non-Linear Quantization," IEEE Vehicular Technology Conference (VTC), Florence, Italy, June, 2023.
  15. Jiapan Yang, Xiao Gong, Bo Ai, Wei Chen, "A Priori Based Deep Unfolding Method for mmWave Channel Estimation in MIMO Radar Aided V2X Communications," IEEE International Conference on Communications (ICC), Rome, Italy, May, 2023.
  16. Maolin Liu, Wei Chen, Jialong Xu, Bo Ai, "Real-time Implementation and Evaluation of SDR-based Deep Joint Source-Channel Coding," IEEE Vehicular Technology Conference (VTC), London/Beijing, UK/China, Sept. 2022.
  17. Lan Lu, Xiao Gong, Bo Ai, Ning Wang, Wei Chen, "Deep Reinforcement Learning for Multiple Access in Dynamic IoT Networks Using Bi-GRU," IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.
  18. Yuan Bai, Wei Chen, Yanna Bai, Bo Ai, "Dictionary Learning Based Channel Estimation and Activity Detection for mMTC with Massive MIMO," IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022.
  19. Yanna Bai, Wei Chen, Yuan Ma, Ning Wang, Bo Ai, "Dual-Net for Joint Channel Estimation and Data Recovery in Grant-free Massive Access," IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec. 2021.
  20. Jialong Xu, Bo Ai, Wei Chen, Ang Yang, Peng Sun, "Image Encryption Methods in Deep Joint Source Channel Coding: A Review and Performance Evaluation," 2021 7th IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, Dec. 2021.
  21. Marija Vella, Bowen Zhang, Wei Chen, Joao F. C. Mota, "Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization," IEEE International Conference on Image Processing (ICIP), Alaska, US, Sept. 2021.
  22. Xiao Gong, Wei Chen, Xuying Chen, Jie Chen, Bo Ai, "A TTSVD Enhanced Fast and Accurate Channel Estimation Method for Dual Polarized Massive MIMO Systems," The IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xi'an, China, Aug. 2021.
  23. Wei Chen, David Wipf, Miguel Rodrigues, "Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, Jun. 2021.
  24. Di Li, Lei Sun, Wei Chen, et. al., "LSTM Based Scene Detection with Smartphones," 2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE), Seoul, Korea, Feb. 2021.
  25. Haoyuan Cai, Maboud Kaloorazi, Jie Chen, Wei Chen, Cedric Richard, "Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method," the 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, Jul. 2020.
  26. Yanna Bai, Wei Chen, Bo Ai, Zhangdui Zhong, "Contention Based Massive Access Scheme for B5G: A Compressive Sensing Method," The 16th International conference on Wireless Communications & Mobile Computing (IWCMC) 5G-EWNAT Workshop, Limassol, Cyprus, Jun. 2020. (Best Paper Award)
  27. Han Xiao, Bo Ai, Wei Chen, "Grant-free Massive Machine-Type Communications With Backward Activity Detection," IEEE Global Communications Conference (GLOBECOM), Hawaii, USA, Dec 2019.
  28. Yanna Bai, Bo Ai, Wei Chen, "Deep Learning Based Fast Multiuser Detection for Massive Machine-Type Communication," IEEE Vehicular Technology Conference (VTC), Honolulu, Hawaii, USA, Sept. 2019.
  29. Han Xiao, Bo Ai, Wei Chen, "A Grant-free Access and Data Recovery Method for Massive Machine-Type Communications," IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.
  30. Xiao Gong, Wei Chen, "Multi-spectral Image Denoising With Shared Dictionaries and Low-rank Representation" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
  31. Jialong Xu, Wei Chen, Bo Ai, Ruisi He, et. al., "Performance Evaluation of Autoencoder for Coding and Modulation in Wireless Communications," 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), Xi'An, Shaanxi, China, Oct. 2019.
  32. Wei Chen, "A Nonconvex Algorithm for Simultaneously Sparse and Low-Rank Matrix Reconstruction," 2018 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, California, US, Nov. 2018.
  33. Nan Song, Kezhi Li, Wei Chen, "Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018.
  34. Jiaming Qi, Wei Chen, "A Flexible Dirty Model Dictionary Learning Approach for Classification," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018.
  35. Wei Chen, Fan Xiao, "Optimized Pilot Design for Joint Compressive Sensing Multi-user and Channel Detection in Massive MTC," The 2nd International Workshop on Non-Orthogonal Multiple Access Techniques for 5G, IEEE Global Communications Conference (GLOBECOM), Singapore, Dec 2017. 
  36. Wei Chen, Ian Wassell, "Bayesian Learning For The Type-3 Joint Sparse Signal Recovery," IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016.
  37. Xin Ding, Wei Chen, Ian Wassell, "Nonconvex Compressive Sensing Reconstruction For Tensor Using Structures In Modes" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016.
  38. Wei Chen, Ian Wassell, "Variational Bayesian Algorithm For Distributed Compressive Sensing," IEEE International Conference on Communications (ICC), London, UK, June 2015.
  39. Xin Ding, Wei Chen, Ian Wassell, "Sparsity-fused Kalman Filtering for Reconstruction of Dynamic Sparse Signals," IEEE International Conference on Communications (ICC), London, UK, June 2015.
  40. Wei Chen, Ian Wassell, "Compressive Sleeping Wireless Sensor Networks With Active Node Selection," IEEE Global Communications Conference (GLOBECOM), Austin, USA, Dec 2014.
  41. Xin Ding, Wei Chen, Ian Wassell, "Generalized-KFCS: Motion Estimation Enhanced Kalman Filtered Compressive Sensing for Video," IEEE International Conference on Image Processing (ICIP), Paris, France, Oct 2014.
  42. Yu Wang, David Wipf, Wei Chen, Ian Wassell, "Exploiting the Convex-Concave Penalty for Tracking: A Novel Dynamic Reweighted Sparse Bayesian Learning Algorithm," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014.
  43. Wei Chen, Yiannis Andreopoulos, Ian Wassell, M. Rodrigues, Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing. IEEE Global Communications Conference (GLOBECOM), Atlanta, USA, Dec. 2013.
  44. Yu Wang, Wei Chen, Ian Wassell, Exploiting Hidden Block Sparsity: Interdependent Matching Pursuit for Cyclic Feature Detection, IEEE Global Communications Conference (GLOBECOM), Atlanta, USA, Dec. 2013.
  45. Wei Chen, Miguel Rodrigues, Ian Wassell, Optimized projections for sensing sparse signals in overcomplete Dictionaries, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012. 
  46. Wei Chen, Miguel Rodrigues, Ian Wassell, On the benefit of using tight frames for robust Data transmission and compressive data gathering in wireless sensor networks, IEEE International Conference on Communications (ICC), Ottawa, Canada, Jun. 2012. 
  47. Wei Chen, Miguel Rodrigues, Ian Wassell, Distributed compressive sensing reconstruction via common support discovery, IEEE International Conference on Communications (ICC), Kyoto, Japan, Jun. 2011.
  48. Wei Chen, Miguel Rodrigues, Ian Wassell, Penalized L1 minimization for reconstruction of time-varying sparse signals, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
  49. Ruisi He, Wei Chen, Bo Ai, Andreas F. Molisch, Wei Wang, Zhangdui Zhong, Jian Yu, "A Sparsity-Based Clustering Framework for Radio Channel Impulse Responses," IEEE Vehicular Technology Conference (VTC), Nanjing, China, May 2016.
  50. Yangqing Li, Saurabh Prasad, Wei Chen, Changchuan Yin, Zhu Han, “An Approximate Message Passing Approach For Compressive Hyperspectral Imaging Using A Simultaneous Low-Rank and Joint-Sparsity Prior,” The 8th Workshop on Hyperspectral Image and Signal Processing: Evolution In Remote Sensing (Whispers) , Los Angeles, USA, Aug. 2016.
  51. Xin Ding, Wei Chen, Ian Wassell, "Block-Based Feature Adaptive Compressive Sensing for Video" The Third International Workshop on Multimedia Communications and Networking (MultiCom), held in conjunction with the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC), Liverpool, UK, October 2015.
  52. Yangqing Li, Wei Chen, Changchuan Yin, Zhu Han, " Approximate Message Passing for Sparse Recovering of Spatially and Temporally Correlated Data," The fourth IEEE International Conference on Communications in China (ICCC), Shenzhen, China, November 2015.
  53. Miao Hu, Zhangdui Zhong, Wei Chen, "Sparse Erroneous Vehicular Trajectory Compression and Recovery Via Compressive Sensing," IEEE International Conference on Mobile Ad hoc and Sensor System (MASS), Philadelphia, USA, Oct. 2014.
  54. Wei Chen, Ian Wassell, Energy Efficient Signal Acquisition via Compressive Sensing in Wireless Sensor Networks, IEEE International Symposium on Wireless Pervasive Computing (ISWPC), Hong Kong, China, Feb. 2011. 
  55. W. Chen, T. Luo, F. Sun, D. Liu and G. Yue, “Spatial Multiplexing and Scheduling in Cellular Networks with Relay Stations," in Proc. 70th IEEE Vehicular Technology Conference (VTC), Anchorage, Sep. 2009.
  56. W. Chen, T. Luo, Z. Wang, G. Yue and H. Zheng, “Performance Analysis of Different MIMO Transmission Modes with Link Adaptation," in Proc. IEEE Radio and Wireless Symposium (RWS), San Diego, Jan. 2009.
  57. W. Chen, H. Zheng, Y. Li, S. Zhang and X. Wu, “Beamforming Methods for Multiuser Relay Networks," in Proc. 68th IEEE Vehicular Technology Conference (VTC), Calgary, Sep. 2008.
  58. S. Zhang, Y. Li, W. Chen and X. Wu, “Downlink Channel Estimation Model for 802.16e OFDMA System," in Proc. 68th IEEE Vehicular Technology Conference (VTC), Calgary, Sep. 2008.


专著/译著

Wei Chen, Applications of Machine Learning in Wireless Communications-Chapter 6: Compressive sensing for wireless sensor networks, IET Publisher, 2019

专利

软件著作权

获奖与荣誉

2024 获中国通信学会硕士学位论文激励计划论文指导教师
2023 获中国信息通信领域十大科技进展
2023 获詹天佑铁道科学技术奖秦驰道专项奖青年奖
2023 获中国国际通信大会（IEEE/CIC ICCC）最佳论文奖
2022 获中国通信学会信息通信领域优秀科技论文
2020 获“兆易创新杯”第十五届研电赛全国二等奖指导教师
2020 获IWCMC 5G-EWNAT Workshop最佳论文奖
2019 获CCF-腾讯犀牛鸟基金“卓创奖”
2017 获International Conference on Computer Vision (ICCV) Young Researcher Award 
2013 获IET  Wireless Sensor System Premium Award (for Best Journal Paper) 

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