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Bin Chen 0011
Person information
- affiliation: Harbin Institute of Technology, Shenzhen, China
- affiliation (former): Tsinghua University, Graduate School at Shenzhen, China
- affiliation (former): South China Normal University, School of Mathematical Sciences, Guangzhou, China
Other persons with the same name
- Bin Chen — disambiguation page
- Bin Chen 0001 — Peking University, School of Earth and Space Sciences, Beijng, China
- Bin Chen 0002 — Stanford University, CA, USA (and 1 more)
- Bin Chen 0003 — National University of Defense Technology, School of Information System and Management, Changsha, China
- Bin Chen 0004 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Bin Chen 0005 — Tsinghua University, Department of Earth System Science, Beijing, China (and 1 more)
- Bin Chen 0006 — Eindhoven University of Technology, Department of Electrical Engineering, the Netherlands (and 2 more)
- Bin Chen 0007 — Xi'an Jiaotong University, State Key Laboratory of Multiphase Flow in Power Engineering, China
- Bin Chen 0008 — Chinese Academy of Science, Chengdu Institute of Computer Applications, China (and 2 more)
- Bin Chen 0009 — North China Electric Power University, Beijing, China (and 1 more)
- Bin Chen 0010 — Tianjin Normal University, School of Mathematical Sciences, China
- Bin Chen 0012 — China University of Geosciences, Institute of Geophysics and Geomatics, Wuhan, China
- Bin Chen 0013 — Civil Aviation University of China, Institute of Electronic Information and Automation, Tianjin, China (and 1 more)
- Bin Chen 0014 — Beijing Jiaotong University, Beijing Jiaotong University, China
- Bin Chen 0015 — Southwest Petroleum University, Petroleum Engineering School, Chengdu, China
- Bin Chen 0016 — Shenzhen University, Department of Communication Engineering, China (and 1 more)
- Bin Chen 0017 — Central South University, School of Automation, Changsha, China
- Bin Chen 0018 — University of Massachusetts, Laboratory for Advanced Software Engineering Research, Department of Computer Science, Amherst, MA, USA
- Bin Chen 0019 — Max-Planck-Institut für Informatik, Saarbrücken, Germany (and 3 more)
- Bin Chen 0020 — Fuzhou University, Center for Discrete MathematicsFuzhou, China
- Bin Chen 0021 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Bin Chen 0022 — Harbin Institute of Technology, HIT, International Institute for Artificial Intelligence, China (and 1 more)
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2020 – today
- 2024
- [j21]Jie Hao, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang:
Optimal ternary locally repairable codes. Des. Codes Cryptogr. 92(9): 2685-2704 (2024) - [j20]Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia:
Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers. Int. J. Comput. Vis. 132(8): 2765-2797 (2024) - [j19]Bin Chen, Dong Tang, Yujun Huang, Baoyi An, Yaowei Wang, Xuan Wang:
CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems. IEEE Internet Things J. 11(15): 25534-25542 (2024) - [j18]Yichong Xia, Bin Chen, Yan Feng, Tianshuo Ge, Yujun Huang, Haoqian Wang, Yaowei Wang:
Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression. Pattern Recognit. 149: 110242 (2024) - [j17]Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang:
Pyramid hybrid pooling quantization for efficient fine-grained image retrieval. Pattern Recognit. Lett. 178: 106-114 (2024) - [j16]Weijun Fang, Jingjie Lv, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
New Constructions of MDS Array Codes and Optimal Locally Repairable Array Codes. IEEE Trans. Inf. Theory 70(3): 1806-1822 (2024) - [j15]Weijun Fang, Ran Tao, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes With Small Localities. IEEE Trans. Inf. Theory 70(10): 6842-6856 (2024) - [j14]Jingyu Xiao, Xudong Zuo, Qing Li, Dan Zhao, Hanyu Zhao, Yong Jiang, Jiyong Sun, Bin Chen, Yong Liang, Jie Li:
FlexNF: Flexible Network Function Orchestration for Scalable On-Path Service Chain Serving. IEEE/ACM Trans. Netw. 32(3): 2026-2041 (2024) - [c66]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. AAAI 2024: 5767-5775 - [c65]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. AAAI 2024: 6962-6970 - [c64]Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. AAAI 2024: 7296-7304 - [c63]Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia:
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. ECCV (28) 2024: 1-19 - [c62]Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Mei Kang Qiu, Shu-Tao Xia:
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. ECCV (32) 2024: 109-126 - [c61]Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang:
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. Euro-Par (3) 2024: 196-211 - [c60]Yuqi Tan, Yuang Peng, Hao Fang, Bin Chen, Shu-Tao Xia:
WaterDiff: Perceptual Image Watermarks Via Diffusion Model. ICASSP 2024: 3250-3254 - [c59]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. IJCAI 2024: 983-991 - [c58]Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia:
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. IJCAI 2024: 7780-7787 - [c57]Qinshan Zhang, Bin Chen, Tianqu Zhuang, Yong Jiang, Shu-Tao Xia:
Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes. ISIT 2024: 1397-1402 - [c56]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Bin Chen, Shu-Tao Xia:
IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. ACM Multimedia 2024: 10229-10237 - [c55]Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia:
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. VTC Spring 2024: 1-5 - [i53]Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia:
Fast Implicit Neural Representation Image Codec in Resource-limited Devices. CoRR abs/2401.12587 (2024) - [i52]Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia:
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses. CoRR abs/2402.04013 (2024) - [i51]Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang:
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network. CoRR abs/2402.16855 (2024) - [i50]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR abs/2404.04998 (2024) - [i49]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. CoRR abs/2405.02945 (2024) - [i48]Yuting Wang, Jinpeng Wang, Bin Chen, Tao Dai, Ruisheng Luo, Shu-Tao Xia:
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval. CoRR abs/2405.13824 (2024) - [i47]Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang:
MambaVC: Learned Visual Compression with Selective State Spaces. CoRR abs/2405.15413 (2024) - [i46]Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia:
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. CoRR abs/2405.17149 (2024) - [i45]Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu:
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search. CoRR abs/2405.20725 (2024) - [i44]Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu:
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models. CoRR abs/2406.05491 (2024) - [i43]Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia:
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. CoRR abs/2406.05704 (2024) - [i42]Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang:
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. CoRR abs/2407.05125 (2024) - [i41]Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia:
CLIP-Guided Networks for Transferable Targeted Attacks. CoRR abs/2407.10179 (2024) - [i40]Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia:
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. CoRR abs/2407.13863 (2024) - [i39]Yujun Huang, Bin Chen, Niu Lian, Baoyi An, Shu-Tao Xia:
3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors. CoRR abs/2409.04013 (2024) - [i38]Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li:
COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation. CoRR abs/2410.01698 (2024) - [i37]Yixiang Qiu, Hongyao Yu, Hao Fang, Wenbo Yu, Bin Chen, Xuan Wang, Shu-Tao Xia, Ke Xu:
MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense. CoRR abs/2410.05159 (2024) - [i36]Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia:
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. CoRR abs/2410.05601 (2024) - [i35]Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu:
CALoR: Towards Comprehensive Model Inversion Defense. CoRR abs/2410.05814 (2024) - [i34]Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia:
Towards Scalable Semantic Representation for Recommendation. CoRR abs/2410.09560 (2024) - [i33]Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia:
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. CoRR abs/2410.09886 (2024) - [i32]Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia:
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. CoRR abs/2410.15430 (2024) - 2023
- [j13]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Perfect LRCs and k-optimal LRCs. Des. Codes Cryptogr. 91(4): 1209-1232 (2023) - [j12]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Singleton-optimal LRCs and perfect LRCs via cyclic and constacyclic codes. Finite Fields Their Appl. 91: 102273 (2023) - [j11]Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang:
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1388-1404 (2023) - [c54]Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia:
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. AAAI 2023: 1343-1350 - [c53]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. AAAI 2023: 2733-2741 - [c52]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. AAAI 2023: 4322-4329 - [c51]Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia:
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. BMVC 2023: 172-173 - [c50]Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge:
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. CVPR 2023: 23079-23089 - [c49]Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia:
Difficulty-Aware Data Augmentor for Scene Text Recognition. ICASSP 2023: 1-5 - [c48]Qinshan Zhang, Bin Chen, Yujun Huang, Shu-Tao Xia:
Adaptive ProductAE: SNR-Aware Adaptive Decoding of Neural Product Codes. ICC 2023: 6337-6342 - [c47]Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia:
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. ICCV 2023: 4944-4953 - [c46]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. ICCV 2023: 14115-14124 - [c45]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. ICIP 2023: 1080-1084 - [c44]Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia:
LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. ICIP 2023: 1775-1779 - [c43]Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia:
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. IJCNN 2023: 1-8 - [c42]Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui, Zhi Wang:
DAGC: Data-Aware Adaptive Gradient Compression. INFOCOM 2023: 1-10 - [c41]Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
Binary MDS Array Codes with Flexible Array Dimensions and Their Fast Encoding. ISIT 2023: 1249-1254 - [c40]Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia:
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. ACM Multimedia 2023: 2189-2198 - [i31]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Singleton-Optimal LRCs and Perfect LRCs via Cyclic and Constacyclic Codes. CoRR abs/2303.06287 (2023) - [i30]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shutao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. CoRR abs/2303.17505 (2023) - [i29]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. CoRR abs/2304.07221 (2023) - [i28]Taolin Zhang, Sunan He, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. CoRR abs/2305.10714 (2023) - [i27]Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia:
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. CoRR abs/2308.02770 (2023) - [i26]Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia:
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. CoRR abs/2308.04699 (2023) - [i25]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
GMMFormer: Gaussian-Mixture-Model based Transformer for Efficient Partially Relevant Video Retrieval. CoRR abs/2310.05195 (2023) - [i24]Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia:
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. CoRR abs/2310.10347 (2023) - [i23]Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang:
DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing. CoRR abs/2311.07324 (2023) - [i22]Shiyu Qin, Yimin Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia:
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. CoRR abs/2311.13846 (2023) - [i21]Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia:
Perceptual Image Compression with Cooperative Cross-Modal Side Information. CoRR abs/2311.13847 (2023) - [i20]Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu:
AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models. CoRR abs/2312.08881 (2023) - [i19]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. CoRR abs/2312.10726 (2023) - [i18]Yichong Xia, Yujun Huang, Bin Chen, Haoqian Wang, Yaowei Wang:
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information. CoRR abs/2312.16963 (2023) - 2022
- [j10]Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia:
Deep image prior based defense against adversarial examples. Pattern Recognit. 122: 108249 (2022) - [j9]Jiawang Bai, Bin Chen, Kuofeng Gao, Xuan Wang, Shu-Tao Xia:
Practical protection against video data leakage via universal adversarial head. Pattern Recognit. 131: 108834 (2022) - [c39]Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. AAAI 2022: 2468-2476 - [c38]Ziyun Zeng, Jinpeng Wang, Bin Chen, Yuting Wang, Shu-Tao Xia:
Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval. BMVC 2022: 82 - [c37]Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia:
Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment. BMVC 2022: 1035 - [c36]Yujun Huang, Bin Chen, Jianghui Zhang, Han Qiu, Shu-Tao Xia:
Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system. DAC 2022: 877-882 - [c35]Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Some Results on the Improved Bound and Construction of Optimal $(r, \ \delta)$ LRCs. ICCC 2022: 365-370 - [c34]Dejun Xiang, Rui Zhou, Lingfei Ma, Qingming Zeng, Ximing Fu, Qiang Wang, Bin Chen, Yan Jia:
Decoupling Consensus and Storage in Consortium Blockchains by Erasure Codes. ICDIS 2022: 194-199 - [c33]Jianghui Zhang, Bin Chen, Yujun Huang, Han Qiu, Zhi Wang, Shutao Xia:
Improved DC Estimation for JPEG Compression Via Convex Relaxation. ICIP 2022: 2461-2465 - [c32]Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
New constructions of binary MDS array codes and locally repairable array codes. ISIT 2022: 2184-2189 - [c31]Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu:
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. WWW 2022: 3020-3030 - [i17]Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs. CoRR abs/2202.03301 (2022) - [i16]Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu:
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. CoRR abs/2202.03384 (2022) - [i15]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes with Small Localities. CoRR abs/2207.05479 (2022) - [i14]Jiawei Li, Bolin Jiang, Yan Liu, Chengxiao Luo, Naiqi Li, Bin Chen:
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation. CoRR abs/2208.04173 (2022) - [i13]Yi-chong Xia, Bin Chen, Yan Feng, Tianshuo Ge:
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression. CoRR abs/2208.12716 (2022) - [i12]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai. CoRR abs/2209.02514 (2022) - [i11]Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge:
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. CoRR abs/2209.15280 (2022) - [i10]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shutao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. CoRR abs/2211.11210 (2022) - 2021
- [j8]Yuyuan Zeng, Tao Dai, Bin Chen, Shu-Tao Xia, Jian Lu:
Correlation-based structural dropout for convolutional neural networks. Pattern Recognit. 120: 108117 (2021) - [j7]Bin Chen, Weijun Fang, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6. IEEE Trans. Inf. Theory 67(1): 217-231 (2021) - [c30]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI 2021: 2755-2763 - [c29]Di Lu, Jinpeng Wang, Ziyun Zeng, Bin Chen, Shudeng Wu, Shu-Tao Xia:
SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network. BMVC 2021: 432 - [c28]Yalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao:
HOCA: Higher-Order Channel Attention for Single Image Super-Resolution. ICASSP 2021: 1605-1609 - [c27]Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li:
Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. ICASSP 2021: 1990-1994 - [c26]Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia:
Webly Supervised Deep Attentive Quantization. ICASSP 2021: 2250-2254 - [c25]Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia:
Class Aware Robust Training. ICASSP 2021: 3835-3839 - [c24]Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia:
Attribute Structured Knowledge Distillation. IJCNN 2021: 1-8 - [c23]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes. ISIT 2021: 3261-3266 - [c22]Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia:
Knowledge Distillation via Channel Correlation Structure. KSEM 2021: 357-368 - [c21]Tao Dai, Yalei Lv, Bin Chen, Zhi Wang, Zexuan Zhu, Shu-Tao Xia:
Mix-order Attention Networks for Image Restoration. ACM Multimedia 2021: 2880-2888 - [i9]Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. CoRR abs/2109.05205 (2021) - [i8]Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia:
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval. CoRR abs/2109.05206 (2021) - [i7]Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia:
Clean-label Backdoor Attack against Deep Hashing based Retrieval. CoRR abs/2109.08868 (2021) - 2020
- [j6]Jie Hao, Bin Chen:
On the Generalized Hamming Weights of (r, δ)-Locally Repairable Codes. IEEE Access 8: 149706-149713 (2020) - [j5]Jiacheng Yang, Bin Chen, Shu-Tao Xia:
Mean-removed product quantization for large-scale image retrieval. Neurocomputing 406: 77-88 (2020) - [j4]Jie Hao, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang:
Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach. IEEE Trans. Inf. Theory 66(12): 7465-7474 (2020) - [c20]Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. AAAI 2020: 10786-10793 - [c19]Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang:
Targeted Attack for Deep Hashing Based Retrieval. ECCV (1) 2020: 618-634 - [c18]Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia:
Transferable Adversarial Attacks for Deep Scene Text Detection. ICPR 2020: 8945-8951 - [c17]Guanghao Meng, Tao Dai, Shudeng Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia:
Sample-aware Data Augmentor for Scene Text Recognition. ICPR 2020: 9378-9385 - [c16]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions. ISIT 2020: 595-599 - [c15]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Perfect LRCs and k-Optimal LRCs. ISIT 2020: 600-604 - [c14]Tao Dai, Yan Feng, Dongxian Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia:
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples. ACM Multimedia 2020: 1404-1412 - [i6]Yan Feng, Bin Chen, Tao Dai, Shutao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. CoRR abs/2002.11374 (2020) - [i5]Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang:
Targeted Attack for Deep Hashing based Retrieval. CoRR abs/2004.07955 (2020)
2010 – 2019
- 2019
- [j3]Yichong Xia, Bin Chen:
Complete Characterizations of Optimal Locally Repairable Codes With Locality 1 and $K-1$. IEEE Access 7: 111271-111276 (2019) - [j2]Bin Chen, Weijun Fang, Shu-Tao Xia, Fang-Wei Fu:
Constructions of Optimal $(r, \delta)$ Locally Repairable Codes via Constacyclic Codes. IEEE Trans. Commun. 67(8): 5253-5263 (2019) - [c13]Jiacheng Yang, Bin Chen, Shu-Tao Xia:
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. ICDM Workshops 2019: 711-718 - [c12]Bin Chen, Shu-Tao Xia, Jie Hao:
Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6. ISIT 2019: 2823-2827 - 2018
- [j1]Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes. IEEE Trans. Inf. Theory 64(4): 2499-2511 (2018) - [c11]Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
On Optimal Pseudo-cyclic ($r, \delta$) Locally Repairable Codes. ISIT 2018: 1191-1195 - [c10]Bin Chen, Shu-Tao Xia:
Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes. ITW 2018: 1-5 - [c9]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
On Optimal (r, δ)-LRCs with Length n | (q+1). ITW 2018: 1-5 - 2017
- [c8]Jie Hao, Shu-Tao Xia, Bin Chen:
On the linear codes with (r, δ)-locality for distributed storage. ICC 2017: 1-6 - [c7]Jie Hao, Shu-Tao Xia, Bin Chen:
On optimal ternary locally repairable codes. ISIT 2017: 171-175 - [c6]Bin Chen, Shu-Tao Xia, Jie Hao:
Locally repairable codes with multiple (ri, δi)-localities. ISIT 2017: 2038-2042 - [c5]Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu:
On the weight hierarchy of locally repairable codes. ITW 2017: 31-35 - [c4]Wenyun Dai, Longbin Chen, Meikang Qiu, Ana Wu, Bin Chen:
A Privacy-Protection Data Separation Approach for Fine-Grained Data Access Management. SmartCloud 2017: 84-89 - [i4]Jie Hao, Shu-Tao Xia, Bin Chen:
On Optimal Ternary Locally Repairable Codes. CoRR abs/1702.05730 (2017) - [i3]Bin Chen, Shu-Tao Xia, Jie Hao:
Locally Repairable Codes with Multiple (ri, δi)-Localities. CoRR abs/1702.05741 (2017) - [i2]Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu:
On the Weight Hierarchy of Locally Repairable Codes. CoRR abs/1702.05848 (2017) - 2016
- [c3]Jie Hao, Shu-Tao Xia, Bin Chen:
On the single-parity locally repairable codes with availability. ICCC 2016: 1-4 - [c2]Jie Hao, Shu-Tao Xia, Bin Chen:
Some results on optimal locally repairable codes. ISIT 2016: 440-444 - [c1]Jie Hao, Shu-Tao Xia, Bin Chen:
Recursive bounds for locally repairable codes with multiple repair groups. ISIT 2016: 645-649 - [i1]Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes. CoRR abs/1609.01136 (2016)
Coauthor Index
aka: Shu-Tao Xia
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