Bin Chen

226 papers A* 47A 4B 23C 3Misc 8Journal 126Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A temporal-aware generative network for cross-modal video universal adversarial perturbation generation.
Knowl. Based Syst.
Kai-Wen Zhang, Shuo-Yang Sun, Hao Fang, Chang-Le Zhou, Bin Chen, Shu-Tao Xia
2026 J jnl
ActErase: A Training-Free Paradigm for Precise Concept Erasure via Activation Patching.
CoRR
Yi Sun, Xinhao Zhong, Hongyan Li, Yimin Zhou, Junhao Li, Bin Chen, Xuan Wang
2026 J jnl
Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models.
CoRR
Zhiqi Zhang, Xinhao Zhong, Yi Sun, Shuoyang Sun, Bin Chen, Shu-Tao Xia, Xuan Wang
2026 J jnl
Dual Feature Fusion for Incomplete Multi-View Multi-Label Learning.
IEEE Trans. Multim.
Xinyu Xiao, Shuhan Qi, Yulin Wu, Bin Chen, Chao Xing, Xuan Wang
2026 J jnl
From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents.
CoRR
Niu Lian, Yuting Wang, Hanshu Yao, Jinpeng Wang, Bin Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia
2026 J jnl
Generalization Bounds for Transformer Channel Decoders.
CoRR
Qinshan Zhang, Bin Chen, Yong Jiang, Shu-Tao Xia
2026 J jnl
Learning gated experts for segment anything in the wild.
Pattern Recognit.
Yizhen Guo, Hang Guo, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia
2026 J jnl
Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation.
CoRR
Xiaochen Yang, Hao Fang, Jiawei Kong, Yaoxin Mao, Bin Chen, Shu-Tao Xia
2026 A* conf
MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts.
WWW
Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen, Shu-Tao Xia
2026 J jnl
Perceptual image compression with textual side information.
Pattern Recognit.
Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia
2026 J jnl
PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment.
CoRR
Tianci Luo, Jinpeng Wang, Shiyu Qin, Niu Lian, Yan Feng, Bin Chen, Chun Yuan, Shu-Tao Xia
2026 — conf
Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering.
KDD (1)
Hongyao Yu, Yixiang Qiu, Hao Fang, Tianqu Zhuang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu
2026 J jnl
Revolving NBP-Like Decoders for Cyclic and Quasi-Cyclic LDPC Codes.
IEEE Trans. Commun.
Qinshan Zhang, Bin Chen, Tianqu Zhuang, Yong Jiang, Shu-Tao Xia
2026 J jnl
Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference Optimization.
CoRR
Hao Fang, Jinyu Li, Jiawei Kong, Tianqu Zhuang, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang
2026 J jnl
Tail-Aware Post-Training Quantization for 3D Geometry Models.
CoRR
Sicheng Pan, Chen Tang, Shuzhao Xie, Ke Yang, Weixiang Zhang, Jiawei Li, Bin Chen, Shu-Tao Xia, Zhi Wang
2026 J jnl
Towards Distillation-Resistant Large Language Models: An Information-Theoretic Perspective.
CoRR
Hao Fang, Tianyi Zhang, Tianqu Zhuang, Jiawei Kong, Kuofeng Gao, Bin Chen, Leqi Liang, Shu-Tao Xia, Ke Xu
2026 A* conf
Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement.
AAAI
Yichong Xia, Yimin Zhou, Jinpeng Wang, Bin Chen
2026 J jnl
Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement.
CoRR
Yichong Xia, Yimin Zhou, Jinpeng Wang, Bin Chen
2026 J jnl
Universal image restoration via task-adaptive diffusion degradation oriented model.
Pattern Recognit.
Junxi Wu, Sicheng Pan, Naiqi Li, Bin Chen, Baoyi An, Zhi Wang, Yaowei Wang, Shu-Tao Xia
2025 A* conf
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors.
ICML
Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia
2025 J jnl
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding.
IEEE Trans. Multim.
Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia, Zhi Wang
2025 A* conf
An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression.
ICLR
Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia
2025 A* conf
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing.
CVPR
Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen
2025 J jnl
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing.
CoRR
Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen
2025 A* conf
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off.
ICML
Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen
2025 J jnl
Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models.
CoRR
Xinhao Zhong, Yimin Zhou, Zhiqi Zhang, Junhao Li, Yi Sun, Bin Chen, Shu-Tao Xia, Ke Xu
2025 J jnl
CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation.
CoRR
Zhenyu Lu, Liupeng Li, Jinpeng Wang, Yan Feng, Bin Chen, Ke Chen, Yaowei Wang
2025 A* conf
DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation.
DAC
Ziyuan Zhang, Han Qiu, Tianwei Zhang, Bin Chen, Chao Zhang
2025 J jnl
Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing.
IEEE Trans. Mob. Comput.
Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang
2025 A* conf
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement.
ICLR
Yichong Xia, Yimin Zhou, Jinpeng Wang, Baoyi An, Haoqian Wang, Yaowei Wang, Bin Chen
2025 A* conf
EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow.
ACM Multimedia
Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen, Baoyi An, Shu-Tao Xia
2025 J jnl
EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow.
CoRR
Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen, Baoyi An, Shu-Tao Xia
2025 A* conf
Efficient Self-Supervised Video Hashing with Selective State Spaces.
AAAI
Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia
2025 A* conf
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.
CVPR
Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia
2025 J jnl
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.
CoRR
Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia
2025 A* conf
Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning.
ICRA
Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia
2025 J jnl
FCA-Net: Accelerating stereo image compression through cascade alignment of side information.
Pattern Recognit.
Yichong Xia, Yujun Huang, Bin Chen, Genping Wang, Haoqian Wang, Yaowei Wang
2025 J jnl
GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search.
IEEE Trans. Inf. Forensics Secur.
Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu
2025 J jnl
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion.
CoRR
Jiaxin Hong, Sixu Chen, Shuoyang Sun, Hongyao Yu, Hao Fang, Yuqi Tan, Bin Chen, Shuhan Qi, Jiawei Li
2025 — conf
Generative Adversarial CLIPs for Unsupervised Backlit Image Enhancement.
WASA (1)
Dong Tang, Suoyang Sun, Yujun Huang, Bin Chen
2025 A* conf
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.
ICLR
Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang
2025 J jnl
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs.
CoRR
Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen, Tao Liang, Guojun Ma, Shu-Tao Xia
2025 J jnl
HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning.
CoRR
Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen
2025 J jnl
HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models.
CoRR
Jizhihui Liu, Feiyi Du, Guangdao Zhu, Niu Lian, Jun Li, Bin Chen
2025 A* conf
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation.
CVPR
Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia
2025 J jnl
High Quality Underwater Image Compression with Adaptive Correction and Codebook-based Augmentation.
CoRR
Yi-Min Zhou, Yichong Xia, Sicheng Pan, Bin Chen, Baoyi An, Haoqian Wang, Zhi Wang, Yaowei Wang, Zikun Zhou
2025 A* conf
ICAS: Detecting Training Data from Autoregressive Image Generative Models.
ACM Multimedia
Hongyao Yu, Yixiang Qiu, Yiheng Yang, Hao Fang, Tianqu Zhuang, Jiaxin Hong, Bin Chen, Hao Wu, Shu-Tao Xia
2025 J jnl
ICAS: Detecting Training Data from Autoregressive Image Generative Models.
CoRR
Hongyao Yu, Yixiang Qiu, Yiheng Yang, Hao Fang, Tianqu Zhuang, Jiaxin Hong, Bin Chen, Hao Wu, Shu-Tao Xia
2025 J jnl
Image Compression for Resource-Constrained AIoT System With Compressed Sensing.
IEEE Trans. Syst. Man Cybern. Syst.
Bin Chen, Yujun Huang, Han Qiu, Shu-Tao Xia, Wei Fei, Xuan Wang, Meikang Qiu
2025 — conf
Information-Theoretic Point Cloud Defense: Harnessing Conditional Mutual Information Against Adversarial Attacks.
PRCV (10)
Kaiwen Zhang, Xinhao Zhong, Shuoyang Sun, Jiaxin Hong, Bin Chen, Teko Ranoka, Xuan Wang, Shutao Xia
2025 Misc conf
LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec.
ICASSP
Jiahong Chen, Xiang Liu, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
2025 J jnl
MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network.
IEEE Trans. Pattern Anal. Mach. Intell.
Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang
2025 A* conf
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds.
EMNLP
Junxi Wu, Jinpeng Wang, Zheng Liu, Bin Chen, Dongjian Hu, Hao Wu, Shu-Tao Xia
2025 J jnl
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds.
CoRR
Junxi Wu, Jinpeng Wang, Zheng Liu, Bin Chen, Dongjian Hu, Hao Wu, Shu-Tao Xia
2025 — conf
Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings.
ACL (1)
Haomiao Tang, Jinpeng Wang, Yuang Peng, Guanghao Meng, Ruisheng Luo, Bin Chen, Long Chen, Yaowei Wang, Shutao Xia
2025 J jnl
Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models.
CoRR
Jiawei Kong, Hao Fang, Sihang Guo, Chenxi Qing, Bin Chen, Bin Wang, Shu-Tao Xia
2025 A* conf
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CVPR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CoRR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 A* conf
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning.
IJCAI
Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia
2025 J jnl
Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation.
CoRR
Xinhao Zhong, Shuoyang Sun, Xulin Gu, Chenyang Zhu, Bin Chen, Yaowei Wang
2025 J jnl
Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models.
CoRR
Hao Fang, Xiaohang Sui, Hongyao Yu, Jiawei Kong, Sijin Yu, Bin Chen, Hao Wu, Shu-Tao Xia
2025 J jnl
Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization.
CoRR
Yixiang Qiu, Yanhan Liu, Hongyao Yu, Hao Fang, Bin Chen, Shu-Tao Xia, Ke Xu
2025 Misc conf
RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense.
ICASSP
Shuoyang Sun, Kaiwen Zhang, Hao Fang, Bin Chen, Jiawei Li, Enze Huo, Shu-Tao Xia
2025 J jnl
Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression.
CoRR
Xiang Liu, Yimin Zhou, Jinxiang Wang, Yujun Huang, Shuzhao Xie, Shiyu Qin, Mingyao Hong, Jiawei Li, Yaowei Wang, Zhi Wang, Shu-Tao Xia, Bin Chen
2025 A* conf
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks.
ICLR
Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia
2025 J jnl
Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets.
CoRR
Xulin Gu, Xinhao Zhong, Zhixing Wei, Yimin Zhou, Shuoyang Sun, Bin Chen, Hongpeng Wang, Yuan Luo
2025 J jnl
Towards Facial Image Compression with Consistency Preserving Diffusion Prior.
CoRR
Yimin Zhou, Yichong Xia, Bin Chen, Baoyi An, Haoqian Wang, Zhi Wang, Yaowei Wang, Zikun Zhou
2025 J jnl
Transformer-Based Decoders for Cyclic Codes: A Tanner Cycle-Equivalent Approach.
IEEE Trans. Commun.
Shuai Xiao, Weijun Fang, Bin Chen
2025 J jnl
Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models.
CoRR
Jiawei Kong, Hao Fang, Xiaochen Yang, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang
2025 A* conf
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
EMNLP
Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang
2025 J jnl
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
CoRR
Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang
2025 A* conf
γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning.
INFOCOM
Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang
2025 J jnl
γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning.
CoRR
Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang
2024 J jnl
3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors.
CoRR
Yujun Huang, Bin Chen, Niu Lian, Baoyi An, Shu-Tao Xia
2024 — conf
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.
ECCV (32)
Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Mei Kang Qiu, Shu-Tao Xia
2024 J jnl
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.
CoRR
Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia
2024 — conf
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning.
Euro-Par (3)
Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang
2024 J jnl
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning.
CoRR
Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang
2024 J jnl
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.
CoRR
Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia
2024 A* conf
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
NeurIPS
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia
2024 J jnl
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
CoRR
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia
2024 J jnl
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes With Small Localities.
IEEE Trans. Inf. Theory
Weijun Fang, Ran Tao, Fang-Wei Fu, Bin Chen, Shu-Tao Xia
2024 J jnl
CALoR: Towards Comprehensive Model Inversion Defense.
CoRR
Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu
2024 — conf
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks.
ECCV (28)
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
2024 J jnl
CLIP-Guided Networks for Transferable Targeted Attacks.
CoRR
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
2024 J jnl
CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems.
IEEE Internet Things J.
Bin Chen, Dong Tang, Yujun Huang, Baoyi An, Yaowei Wang, Xuan Wang
2024 A* conf
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation.
NeurIPS
Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li
2024 J jnl
COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation.
CoRR
Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li
2024 J jnl
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off.
CoRR
Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng
2024 — conf
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems.
VTC Spring
Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia
2024 J jnl
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing.
CoRR
Bin Chen, Wenbo Yu, Qinshan Zhang, Shu-Tao Xia
2024 J jnl
Efficient Dataset Distillation via Diffusion-Driven Patch Selection for Improved Generalization.
CoRR
Xinhao Zhong, Shuoyang Sun, Xulin Gu, Zhaoyang Xu, Yaowei Wang, Jianlong Wu, Bin Chen
2024 J jnl
Efficient Self-Supervised Video Hashing with Selective State Spaces.
CoRR
Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia
2024 J jnl
Fast Implicit Neural Representation Image Codec in Resource-limited Devices.
CoRR
Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia
2024 — conf
FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning.
WCSP
Yang Cao, Hao Fang, Bin Chen, Xuan Wang, Shutao Xia
2024 J jnl
FlexNF: Flexible Network Function Orchestration for Scalable On-Path Service Chain Serving.
IEEE/ACM Trans. Netw.
Jingyu Xiao, Xudong Zuo, Qing Li, Dan Zhao, Hanyu Zhao, Yong Jiang, Jiyong Sun, Bin Chen, Yong Liang, Jie Li
2024 J jnl
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search.
CoRR
Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu
2024 J jnl
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval.
CoRR
Yuting Wang, Jinpeng Wang, Bin Chen, Tao Dai, Ruisheng Luo, Shu-Tao Xia
2024 A* conf
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval.
AAAI
Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia
2024 A* conf
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process.
IJCAI
Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia
2024 J jnl
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.
CoRR
Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang
2024 J jnl
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.
CoRR
Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia
2024 J jnl
Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers.
Int. J. Comput. Vis.
Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia
2024 A* conf
IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection.
ACM Multimedia
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Bin Chen, Shu-Tao Xia
2024 A* conf
Invertible Residual Rescaling Models.
IJCAI
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
2024 J jnl
Invertible Residual Rescaling Models.
CoRR
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
2024 A* conf
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
NeurIPS
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 J jnl
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
CoRR
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 J jnl
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network.
CoRR
Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang
2024 J jnl
MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense.
CoRR
Yixiang Qiu, Hongyao Yu, Hao Fang, Wenbo Yu, Bin Chen, Xuan Wang, Shu-Tao Xia, Ke Xu
2024 J jnl
MambaVC: Learned Visual Compression with Selective State Spaces.
CoRR
Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang
2024 J jnl
Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression.
Pattern Recognit.
Yichong Xia, Bin Chen, Yan Feng, Tianshuo Ge, Yujun Huang, Haoqian Wang, Yaowei Wang
2024 J jnl
New Constructions of MDS Array Codes and Optimal Locally Repairable Array Codes.
IEEE Trans. Inf. Theory
Weijun Fang, Jingjie Lv, Bin Chen, Shu-Tao Xia, Xiangyu Chen
2024 J jnl
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.
CoRR
Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu
2024 J jnl
Optimal ternary locally repairable codes.
Des. Codes Cryptogr.
Jie Hao, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang
2024 A* conf
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts.
NeurIPS
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia
2024 J jnl
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.
CoRR
Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia
2024 B conf
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
ICIP
Shiyu Qin, Yi-Min Zhou, Jin-Peng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
2024 J jnl
Pyramid hybrid pooling quantization for efficient fine-grained image retrieval.
Pattern Recognit. Lett.
Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang
2024 A* conf
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
NeurIPS
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 J jnl
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
CoRR
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 B conf
Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes.
ISIT
Qinshan Zhang, Bin Chen, Tianqu Zhuang, Yong Jiang, Shu-Tao Xia
2024 A* conf
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
AAAI
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2024 J jnl
Towards Scalable Semantic Representation for Recommendation.
CoRR
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
2024 A* conf
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.
AAAI
Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia
2024 J jnl
WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking.
CoRR
Yuqi Tan, Xiang Liu, Shuzhao Xie, Bin Chen, Shu-Tao Xia, Zhi Wang
2024 Misc conf
WaterDiff: Perceptual Image Watermarks Via Diffusion Model.
ICASSP
Yuqi Tan, Yuang Peng, Hao Fang, Bin Chen, Shu-Tao Xia
2024 J jnl
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.
CoRR
Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
2023 J jnl
AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models.
CoRR
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu
2023 — conf
Adaptive ProductAE: SNR-Aware Adaptive Decoding of Neural Product Codes.
ICC
Qinshan Zhang, Bin Chen, Yujun Huang, Shu-Tao Xia
2023 J jnl
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang
2023 A conf
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning.
BMVC
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
2023 B conf
Binary MDS Array Codes with Flexible Array Dimensions and Their Fast Encoding.
ISIT
Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen
2023 A* conf
Contrastive Masked Autoencoders for Self-Supervised Video Hashing.
AAAI
Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia
2023 A* conf
DAGC: Data-Aware Adaptive Gradient Compression.
INFOCOM
Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui, Zhi Wang
2023 J jnl
DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing.
CoRR
Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang
2023 B conf
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution.
IJCNN
Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia
2023 Misc conf
Difficulty-Aware Data Augmentor for Scene Text Recognition.
ICASSP
Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia
2023 J jnl
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems.
CoRR
Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia
2023 J jnl
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information.
CoRR
Yichong Xia, Yujun Huang, Bin Chen, Haoqian Wang, Yaowei Wang
2023 A* conf
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks.
AAAI
Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 A* conf
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization.
ICCV
Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia
2023 J jnl
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization.
CoRR
Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia
2023 J jnl
GMMFormer: Gaussian-Mixture-Model based Transformer for Efficient Partially Relevant Video Retrieval.
CoRR
Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia
2023 A* conf
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
ICCV
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
CoRR
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 B conf
LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit.
ICIP
Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia
2023 A* conf
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain.
AAAI
Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia
2023 A* conf
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.
CVPR
Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge
2023 A* conf
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
ACM Multimedia
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
CoRR
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
Perceptual Image Compression with Cooperative Cross-Modal Side Information.
CoRR
Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia
2023 J jnl
Perfect LRCs and k-optimal LRCs.
Des. Codes Cryptogr.
Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen
2023 J jnl
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
CoRR
Shiyu Qin, Yi-Min Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
2023 J jnl
Singleton-Optimal LRCs and Perfect LRCs via Cyclic and Constacyclic Codes.
CoRR
Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia
2023 J jnl
Singleton-optimal LRCs and perfect LRCs via cyclic and constacyclic codes.
Finite Fields Their Appl.
Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia
2023 J jnl
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
CoRR
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 B conf
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers.
ICIP
Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang
2023 J jnl
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers.
CoRR
Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shutao Xia, Zhi Wang
2023 J jnl
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.
CoRR
Taolin Zhang, Sunan He, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2022 J jnl
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes with Small Localities.
CoRR
Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu
2022 A* conf
Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system.
DAC
Yujun Huang, Bin Chen, Jianghui Zhang, Han Qiu, Shu-Tao Xia
2022 J jnl
Contrastive Masked Autoencoders for Self-Supervised Video Hashing.
CoRR
Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shutao Xia
2022 A* conf
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval.
AAAI
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
2022 — conf
Decoupling Consensus and Storage in Consortium Blockchains by Erasure Codes.
ICDIS
Dejun Xiang, Rui Zhou, Lingfei Ma, Qingming Zeng, Ximing Fu, Qiang Wang, Bin Chen, Yan Jia
2022 J jnl
Deep image prior based defense against adversarial examples.
Pattern Recognit.
Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia
2022 A conf
Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment.
BMVC
Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia
2022 A* conf
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval.
WWW
Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu
2022 J jnl
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval.
CoRR
Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu
2022 B conf
Improved DC Estimation for JPEG Compression Via Convex Relaxation.
ICIP
Jianghui Zhang, Bin Chen, Yujun Huang, Han Qiu, Zhi Wang, Shutao Xia
2022 J jnl
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai.
CoRR
Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia
2022 J jnl
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.
CoRR
Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge
2022 A conf
Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval.
BMVC
Ziyun Zeng, Jinpeng Wang, Bin Chen, Yuting Wang, Shu-Tao Xia
2022 J jnl
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression.
CoRR
Yichong Xia, Bin Chen, Yan Feng, Tianshuo Ge
2022 B conf
New constructions of binary MDS array codes and locally repairable array codes.
ISIT
Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen
2022 J jnl
Practical protection against video data leakage via universal adversarial head.
Pattern Recognit.
Jiawang Bai, Bin Chen, Kuofeng Gao, Xuan Wang, Shu-Tao Xia
2022 C conf
Some Results on the Improved Bound and Construction of Optimal $(r, \ \delta)$ LRCs.
ICCC
Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen
2022 J jnl
Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs.
CoRR
Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen
2022 J jnl
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation.
CoRR
Jiawei Li, Bolin Jiang, Yan Liu, Chengxiao Luo, Naiqi Li, Bin Chen
2021 B conf
Attribute Structured Knowledge Distillation.
IJCNN
Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia
2021 Misc conf
Class Aware Robust Training.
ICASSP
Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia
2021 J jnl
Clean-label Backdoor Attack against Deep Hashing based Retrieval.
CoRR
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
2021 J jnl
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval.
CoRR
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
2021 J jnl
Correlation-based structural dropout for convolutional neural networks.
Pattern Recognit.
Yuyuan Zeng, Tao Dai, Bin Chen, Shu-Tao Xia, Jian Lu
2021 Misc conf
Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net.
ICASSP
Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li
2021 Misc conf
HOCA: Higher-Order Channel Attention for Single Image Super-Resolution.
ICASSP
Yalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao
2021 J jnl
Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6.
IEEE Trans. Inf. Theory
Bin Chen, Weijun Fang, Shu-Tao Xia, Jie Hao, Fang-Wei Fu
2021 C conf
Knowledge Distillation via Channel Correlation Structure.
KSEM
Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia
2021 A* conf
Mix-order Attention Networks for Image Restoration.
ACM Multimedia
Tao Dai, Yalei Lv, Bin Chen, Zhi Wang, Zexuan Zhu, Shu-Tao Xia
2021 J jnl
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval.
CoRR
Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
2021 B conf
Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes.
ISIT
Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu
2021 A conf
SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network.
BMVC
Di Lu, Jinpeng Wang, Ziyun Zeng, Bin Chen, Shudeng Wu, Shu-Tao Xia
2021 A* conf
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.
AAAI
Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia
2021 Misc conf
Webly Supervised Deep Attentive Quantization.
ICASSP
Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
2020 A* conf
Adversarial Attack on Deep Product Quantization Network for Image Retrieval.
AAAI
Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia
2020 J jnl
Adversarial Attack on Deep Product Quantization Network for Image Retrieval.
CoRR
Yan Feng, Bin Chen, Tao Dai, Shutao Xia
2020 J jnl
Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach.
IEEE Trans. Inf. Theory
Jie Hao, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang
2020 B conf
Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions.
ISIT
Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu
2020 A* conf
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples.
ACM Multimedia
Tao Dai, Yan Feng, Dongxian Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia
2020 J jnl
Mean-removed product quantization for large-scale image retrieval.
Neurocomputing
Jiacheng Yang, Bin Chen, Shu-Tao Xia
2020 J jnl
On the Generalized Hamming Weights of (r, δ)-Locally Repairable Codes.
IEEE Access
Jie Hao, Bin Chen
2020 B conf
Perfect LRCs and k-Optimal LRCs.
ISIT
Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu
2020 B conf
Sample-aware Data Augmentor for Scene Text Recognition.
ICPR
Guanghao Meng, Tao Dai, Shudeng Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia
2020 — conf
Targeted Attack for Deep Hashing Based Retrieval.
ECCV (1)
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
2020 J jnl
Targeted Attack for Deep Hashing based Retrieval.
CoRR
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
2020 B conf
Transferable Adversarial Attacks for Deep Scene Text Detection.
ICPR
Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia
2019 J jnl
Complete Characterizations of Optimal Locally Repairable Codes With Locality 1 and $K-1$.
IEEE Access
Yichong Xia, Bin Chen
2019 J jnl
Constructions of Optimal $(r, \delta)$ Locally Repairable Codes via Constacyclic Codes.
IEEE Trans. Commun.
Bin Chen, Weijun Fang, Shu-Tao Xia, Fang-Wei Fu
2019 B conf
Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6.
ISIT
Bin Chen, Shu-Tao Xia, Jie Hao
2019 — conf
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search.
ICDM Workshops
Jiacheng Yang, Bin Chen, Shu-Tao Xia
2018 B conf
Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes.
ITW
Bin Chen, Shu-Tao Xia
2018 J jnl
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes.
IEEE Trans. Inf. Theory
Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu
2018 B conf
On Optimal (r, δ)-LRCs with Length n | (q+1).
ITW
Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia
2018 B conf
On Optimal Pseudo-cyclic ($r, \delta$) Locally Repairable Codes.
ISIT
Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu
2017 — conf
A Privacy-Protection Data Separation Approach for Fine-Grained Data Access Management.
SmartCloud
Wenyun Dai, Longbin Chen, Meikang Qiu, Ana Wu, Bin Chen
2017 J jnl
Locally Repairable Codes with Multiple (r
CoRR
Bin Chen, Shu-Tao Xia, Jie Hao
2017 B conf
Locally repairable codes with multiple (ri, δi)-localities.
ISIT
Bin Chen, Shu-Tao Xia, Jie Hao
2017 J jnl
On Optimal Ternary Locally Repairable Codes.
CoRR
Jie Hao, Shu-Tao Xia, Bin Chen
2017 B conf
On optimal ternary locally repairable codes.
ISIT
Jie Hao, Shu-Tao Xia, Bin Chen
2017 J jnl
On the Weight Hierarchy of Locally Repairable Codes.
CoRR
Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu
2017 — conf
On the linear codes with (r, δ)-locality for distributed storage.
ICC
Jie Hao, Shu-Tao Xia, Bin Chen
2017 B conf
On the weight hierarchy of locally repairable codes.
ITW
Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu
2016 J jnl
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes.
CoRR
Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu
2016 C conf
On the single-parity locally repairable codes with availability.
ICCC
Jie Hao, Shu-Tao Xia, Bin Chen
2016 B conf
Recursive bounds for locally repairable codes with multiple repair groups.
ISIT
Jie Hao, Shu-Tao Xia, Bin Chen
2016 B conf
Some results on optimal locally repairable codes.
ISIT
Jie Hao, Shu-Tao Xia, Bin Chen