个人简介
陈斌，博士，计算机科学与技术学院助理教授，硕士生导师，广东汕头人。2021年毕业于清华大学计算机科学与技术系获得博士学位（导师：夏树涛教授）。曾在加拿大滑铁卢大学计算机与电子工程系任访问学生，在清华大学深圳国际研究生院担任博士后研究员。主要从事机器学习、深度学习、信息论编码等方向的教学与科研工作，目前的主要研究兴趣为分布式存储编码/图像压缩/图像检索/压缩感知/AI安全等。在人工智能/信息论/通信顶级期刊如IEEE Transactions on Patttern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Information Theory (TIT), IEEE Transactions on Communications (TCOM), Pattern Recognition 和 CVPR/ICCV/ECCV/MM/AAAI//WWW/DAC/INFOCOM/ISIT/ICC 等相关领域顶级会议上发表论文40余篇，并担任多个顶级期刊和会议的审稿人。
工作经历
2021.12-至今： 哈尔滨工业大学 (深圳)，计算机科学与技术学院，助理教授
2021.5-2021.11：清华大学深圳国际研究生院，博士后，合作导师：江勇教授
教育经历
2017.09-2021.01：清华大学，计算机科学与技术专业，工学博士 （导师：夏树涛教授）
2019.12-2020.05：加拿大滑铁卢大学，计算机与电子工程系，访问学生 （导师：杨恩辉教授，加拿大两院院士，IEEE Fellow)
2014.09-2017.06：华南师范大学， 基础数学专业，理学硕士；（保送）
2010.09-2014.06：华南师范大学， 数学与应用数学专业，理学学士
获奖情况
清华大学博士生国家奖学金2次，2019/2020, Top 0.3%
华南师范大学硕士生国家奖学金1次，2015, Top 1%
2021年中国电子学会信息论分会优秀博士论文（年度唯一）
2021年深圳市人工智能学会优秀博士论文（排名第一)
2022年度广东省计算机学会优秀论文二等奖
清华大学计算机系优秀博士毕业生
研究领域
机器学习/深度学习算法及其应用：
图像/视频/深度模型压缩：点对点/分布式通信场景下/多视角的有损/无损图像/视频语义压缩、深度模型压缩
图像/视频/多模态检索：基于哈希/乘积量化的快速检索算法、多模态/跨模态/细粒度图像/视频检索/检索增强及其应用
AI安全：对抗机器学习、AIGC/基础模型（Foundation Models)及隐私安全、分布式/联邦梯度压缩与隐私安全
信息论与编码理论：
编码理论：分布式存储纠删码，基于深度学习的信道编译码
信息论：深度压缩感知及逆问题，有损语义压缩/语义通信算法及理论
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Adversarial Attack on Deep Product Quantization Network for Image Retrieval Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang,Shu-Tao Xia, Xuan Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6 Bin Chen, Weijun Fang, Shu-Tao Xia, Jie Hao, Fang-Wei Fu IEEE Transactions on Information Theory (TIT), 2021
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu IEEE Transactions on Information Theory (TIT), 2018
Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach Jie Hao, Shu-Tao Xia, Kenneth Shum, Bin Chen, Fang-Wei Fu, Yixian Yang IEEE Transactions on Information Theory (TIT), 2020
Deep image prior based defense against adversarial examples Tao Dai, Yan Feng, Bin Chen#, Jian Lu, Shu-Tao Xia Pattern Recognition (PR), 2022
Practical protection against video data leakage via universal adversarial head Jiawang Bai, Bin Chen#, Kuofeng Gao, Xuan Wang, Shu-Tao Xia Pattern Recognition (PR), 2022
Constructions of Optimal (r, δ) Locally Repairable Codes via Constacyclic Codes Bin Chen, Weijun Fang, Shu-Tao Xia, Fang-Wei Fu IEEE Transactions on Communication (TCOM), 2019
Perfect LRCs and k-optimal LRCs Weijun Fang, Bin Chen#, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen Designs, Codes and Cryptography (DCC), 2022
Mean-removed product quantization for large-scale image retrieval Jiacheng Yang*, Bin Chen* #, Shu-Tao Xia Neurocomputing (Neurocomputing), 2020
Conference Papers
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization Hao Fang, Bin Chen#, Xuan Wang, Zhi Wang, Shu-Tao Xia Nineteenth International Conference on Computer Vision (ICCV), 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Yaohua Zha, Jingpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia Nineteenth International Conference on Computer Vision (ICCV), 2023
Mix-order Attention Networks for Image Restoration Tao Dai*, Yalei Lv*, Bin Chen#, et al Twenty-Eighth ACM International Conference on Multimedia (MM), 2021
Targeted Attack for Deep Hashing based Retrieval Jiawang Bai*, Bin Chen* #, Yiming Li*, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang Thirteenth European Conference on Computer Vision (ECCV), 2020
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain Yujun Huang, Bin Chen#, Shiyu Qin, Jiawei Li, Yaowei Wang, Dai Tao, Shu-Tao Xia Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023
Contrastive Masked Autoencoders for Self-Supervised Video Hashing Yuting Wang, Jinpeng Wang, Bin Chen#, Ziyun Zeng, Shu-Tao Xia Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen#, Ping Luo, Shu-Tao Xia, Yixiao Ge# IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
FSR: A General Frequency-oriented Framework to Accelerate Image Super-resolution Networks Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023
DAGC: Data-aware Adaptive Gradient Compression Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui, Zhi Wang IEEE Conference on Computer Communications (INFOCOM), 2023
Compressive Sensing based Asymmetric Semantic Image Compression for Resource-constrained IoT system Yujun Huang, Bin Chen#, Jianghui Zhang, Han Qiu, Shu-Tao Xia Proc. the 59th Design Automation Conference (DAC), 2022
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval Jinpeng Wang, Ziyun Zeng, Bin Chen#, Tao Dai, Shu-Tao Xia Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval Jinpeng Wang, Bin Chen#, Dongliang Liao#, Ziyun Zeng, Shu-Tao Xia et al. ACM Web Conference (WWW), 2022
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval Jinpeng Wang*, Bin Chen* # Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
Adversarial Attack on Deep Product Quantization Network for Image Retrieval Yan Feng*, Bin Chen*, Tao Dai, Shu-Tao Xia Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples Tao Dai*, Yan Feng*, Dongxian Wu, Bin Chen#, et al 28th ACM International Conference on Multimedia (MM), 2020
学术兼职
中国电子学会信息论分会会员
IEEE Member
IEEE信息论学会广州分会成员
深圳计算机学会深圳分会会员/元宇宙专委会副秘书长
担任以下学术期刊/会议审稿人：
IEEE Transactions on Information Theory
IEEE Transactions on Communications
Science China on Information Science
IEEE communication letter
Applied Intelligence (APIN)
Pattern Recognition Letters
Neural Information Processing Systems (NeurIPS-20)
IEEE International Symposium on Information Theory (ISIT-17/23)
IEEE Data Compression Conference (DCC-20/21)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-22/23)
AAAI Conference on Artificial Intelligence (AAAI-21/22/23)
International Joint Conference on Artificial Intelligence (IJCAI-21/22/23)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-21/23)
European Conference on Computer Vision (ECCV-22)
International Conference on Computer Vision (ICCV-23)
Entropy, Guest Editor on Special Issues
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