On the single-parity locally repairable codes with availability. - Jie Hao 001; Shu-Tao Xia; Bin Chen 011 (ICCC, 2016)

Some results on optimal locally repairable codes. - Jie Hao 001; Shu-Tao Xia; Bin Chen 011 (ISIT, 2016)

Recursive bounds for locally repairable codes with multiple repair groups. - Jie Hao 001; Shu-Tao Xia; Bin Chen 011 (ISIT, 2016)

On the linear codes with (r, δ)-locality for distributed storage. - Jie Hao 001; Shu-Tao Xia; Bin Chen 011 (ICC, 2017)

Locally repairable codes with multiple (ri, δi)-localities. - Bin Chen 011; Shu-Tao Xia; Jie Hao 001 (ISIT, 2017)

On optimal ternary locally repairable codes. - Jie Hao 001; Shu-Tao Xia; Bin Chen 011 (ISIT, 2017)

On the weight hierarchy of locally repairable codes. - Jie Hao 001; Shu-Tao Xia; Bin Chen 011; Fang-Wei Fu 001 (ITW, 2017)

A Privacy-Protection Data Separation Approach for Fine-Grained Data Access Management. - Wenyun Dai; Longbin Chen; Meikang Qiu; Ana Wu; Bin Chen 011 (SmartCloud, 2017)

Locally Repairable Codes with Multiple (ri, δi)-Localities. - Bin Chen 011; Shu-Tao Xia; Jie Hao 001 (CoRR, 2017)

On Optimal Pseudo-cyclic ($r, delta$) Locally Repairable Codes. - Bin Chen 011; Shu-Tao Xia; Jie Hao 001; Fang-Wei Fu 001 (ISIT, 2018)

Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes. - Bin Chen 011; Shu-Tao Xia (ITW, 2018)

On Optimal (r, δ)-LRCs with Length n | (q+1). - Weijun Fang; Fang-Wei Fu 001; Bin Chen 011; Shu-Tao Xia (ITW, 2018)

Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes. - Bin Chen 011; Shu-Tao Xia; Jie Hao 001; Fang-Wei Fu 001 (IEEE Trans. Inf. Theory, 2018)

Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. - Jiacheng Yang; Bin Chen 011; Shu-Tao Xia (ICDM Workshops, 2019)

Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6. - Bin Chen 011; Shu-Tao Xia; Jie Hao 001 (ISIT, 2019)

Complete Characterizations of Optimal Locally Repairable Codes With Locality 1 and $K-1$. - Yichong Xia; Bin Chen 011 (IEEE Access, 2019)

Constructions of Optimal $(r, delta)$ Locally Repairable Codes via Constacyclic Codes. - Bin Chen 011; Weijun Fang; Shu-Tao Xia; Fang-Wei Fu 001 (IEEE Trans. Commun., 2019)

Adversarial Attack on Deep Product Quantization Network for Image Retrieval. - Yan Feng; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (AAAI, 2020)

Targeted Attack for Deep Hashing Based Retrieval. - Jiawang Bai; Bin Chen 011; Yiming Li 004; Dongxian Wu; Weiwei Guo; Shu-Tao Xia; En-Hui Yang (ECCV (1), 2020)

Sample-aware Data Augmentor for Scene Text Recognition. - Guanghao Meng; Tao Dai 001; Shudeng Wu; Bin Chen 011; Jian Lu 002; Yong Jiang 001; Shu-Tao Xia (ICPR, 2020)

Transferable Adversarial Attacks for Deep Scene Text Detection. - Shudeng Wu; Tao Dai 001; Guanghao Meng; Bin Chen 011; Jian Lu 002; Shu-Tao Xia (ICPR, 2020)

Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions. - Weijun Fang; Bin Chen 011; Shu-Tao Xia; Fang-Wei Fu 001 (ISIT, 2020)

Perfect LRCs and k-Optimal LRCs. - Weijun Fang; Bin Chen 011; Shu-Tao Xia; Fang-Wei Fu 001 (ISIT, 2020)

DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples. - Tao Dai 001; Yan Feng; Dongxian Wu; Bin Chen 011; Jian Lu 002; Yong Jiang 001; Shu-Tao Xia (ACM Multimedia, 2020)

On the Generalized Hamming Weights of (r, δ)-Locally Repairable Codes. - Jie Hao 001; Bin Chen 011 (IEEE Access, 2020)

Mean-removed product quantization for large-scale image retrieval. - Jiacheng Yang; Bin Chen 011; Shu-Tao Xia (Neurocomputing, 2020)

Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach. - Jie Hao 001; Shu-Tao Xia; Kenneth W. Shum; Bin Chen 011; Fang-Wei Fu 001; Yixian Yang (IEEE Trans. Inf. Theory, 2020)

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. - Jinpeng Wang 002; Bin Chen 011; Qiang Zhang 026; Zaiqiao Meng; Shangsong Liang; Shutao Xia (AAAI, 2021)

SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network. - Di Lu; Jinpeng Wang 002; Ziyun Zeng; Bin Chen 011; Shudeng Wu; Shu-Tao Xia (BMVC, 2021)

Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. - Bin Cheng; Tao Dai 001; Bin Chen 011; Shutao Xia; Xiu Li 001 (ICASSP, 2021)

HOCA: Higher-Order Channel Attention for Single Image Super-Resolution. - Yalei Lv; Tao Dai 001; Bin Chen 011; Jian Lu 002; Shu-Tao Xia; Jingchao Cao (ICASSP, 2021)

Webly Supervised Deep Attentive Quantization. - Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (ICASSP, 2021)

Class Aware Robust Training. - Zhikang Xia; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (ICASSP, 2021)

Attribute Structured Knowledge Distillation. - Yunxiao Wang; Tao Dai 001; Bin Chen 011; Shutao Xia (IJCNN, 2021)

Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes. - Weijun Fang; Bin Chen 011; Shu-Tao Xia; Fang-Wei Fu 001 (ISIT, 2021)

Knowledge Distillation via Channel Correlation Structure. - Bo Li; Bin Chen 011; Yunxiao Wang; Tao Dai 001; Maowei Hu; Yong Jiang 001; Shutao Xia (KSEM, 2021)

Mix-order Attention Networks for Image Restoration. - Tao Dai 001; Yalei Lv; Bin Chen 011; Zhi Wang 001; Zexuan Zhu; Shu-Tao Xia (ACM Multimedia, 2021)

Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval. - Ziyun Zeng; Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (CoRR, 2021)

Clean-label Backdoor Attack against Deep Hashing based Retrieval. - Kuofeng Gao; Jiawang Bai; Bin Chen 011; Dongxian Wu; Shu-Tao Xia (CoRR, 2021)

Correlation-based structural dropout for convolutional neural networks. - Yuyuan Zeng; Tao Dai 001; Bin Chen 011; Shu-Tao Xia; Jian Lu 002 (Pattern Recognit., 2021)

Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6. - Bin Chen 011; Weijun Fang; Shu-Tao Xia; Jie Hao 001; Fang-Wei Fu 001 (IEEE Trans. Inf. Theory, 2021)

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. - Jinpeng Wang 002; Ziyun Zeng; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (AAAI, 2022)

Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment. - Jinpeng Wang 002; Ziyun Zeng; Bin Chen 011; Yuting Wang; Dongliang Liao; Gongfu Li; Yiru Wang; Shu-Tao Xia (BMVC, 2022)

Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval. - Ziyun Zeng; Jinpeng Wang 002; Bin Chen 011; Yuting Wang; Shu-Tao Xia (BMVC, 2022)

Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system. - Yujun Huang; Bin Chen 011; Jianghui Zhang; Han Qiu 001; Shu-Tao Xia (DAC, 2022)

Some Results on the Improved Bound and Construction of Optimal $(r, delta)$ LRCs. - Bin Chen 011; Weijun Fang; Yueqi Chen 002; Shu-Tao Xia; Fang-Wei Fu 001; Xiangyu Chen 004 (ICCC, 2022)

Decoupling Consensus and Storage in Consortium Blockchains by Erasure Codes. - Dejun Xiang; Rui Zhou; Lingfei Ma; Qingming Zeng; Ximing Fu; Qiang Wang; Bin Chen 011; Yan Jia 001 (ICDIS, 2022)

Improved DC Estimation for JPEG Compression Via Convex Relaxation. - Jianghui Zhang; Bin Chen 011; Yujun Huang; Han Qiu 001; Zhi Wang 001; Shutao Xia (ICIP, 2022)

New constructions of binary MDS array codes and locally repairable array codes. - Jingjie Lv; Weijun Fang; Bin Chen 011; Shu-Tao Xia; Xiangyu Chen 004 (ISIT, 2022)

Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. - Jinpeng Wang 002; Bin Chen 011; Dongliang Liao; Ziyun Zeng; Gongfu Li; Shu-Tao Xia; Jin Xu (WWW, 2022)

Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs. - Bin Chen 011; Weijun Fang; Yueqi Chen 002; Shu-Tao Xia; Fang-Wei Fu 001; Xiangyu Chen 004 (CoRR, 2022)

Bounds and Constructions of Singleton-Optimal Locally Repairable Codes with Small Localities. - Weijun Fang; Bin Chen 011; Shu-Tao Xia; Fang-Wei Fu 001 (CoRR, 2022)

SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation. - Jiawei Li 006; Bolin Jiang; Yan Liu; Chengxiao Luo; Naiqi Li; Bin Chen 011 (CoRR, 2022)

Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression. - Yichong Xia; Bin Chen 011; Yan Feng; Tianshuo Ge (CoRR, 2022)

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai. - Yujun Huang; Bin Chen 011; Shiyu Qin; Jiawei Li 006; Yaowei Wang 001; Tao Dai 001; Shu-Tao Xia (CoRR, 2022)

Practical protection against video data leakage via universal adversarial head. - Jiawang Bai; Bin Chen 011; Kuofeng Gao; Xuan Wang 002; Shu-Tao Xia (Pattern Recognit., 2022)

Deep image prior based defense against adversarial examples. - Tao Dai 001; Yan Feng; Bin Chen 011; Jian Lu 002; Shu-Tao Xia (Pattern Recognit., 2022)

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. - Yujun Huang; Bin Chen 011; Shiyu Qin; Jiawei Li 006; Yaowei Wang 001; Tao Dai 001; Shu-Tao Xia (AAAI, 2023)

FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. - Jinmin Li; Tao Dai 001; Mingyan Zhu 001; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (AAAI, 2023)

Contrastive Masked Autoencoders for Self-Supervised Video Hashing. - Yuting Wang; Jinpeng Wang 002; Bin Chen 011; Ziyun Zeng; Shu-Tao Xia (AAAI, 2023)

Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. - Kuofeng Gao; Jiawang Bai; Bin Chen 011; Dongxian Wu; Shu-Tao Xia (BMVC, 2023)

Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. - Ziyun Zeng; Yuying Ge; Xihui Liu; Bin Chen 011; Ping Luo 002; Shu-Tao Xia; Yixiao Ge (CVPR, 2023)

Difficulty-Aware Data Augmentor for Scene Text Recognition. - Guanghao Meng; Tao Dai 001; Bin Chen 011; Naiqi Li; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2023)

Adaptive ProductAE: SNR-Aware Adaptive Decoding of Neural Product Codes. - Qinshan Zhang; Bin Chen 011; Yujun Huang; Shu-Tao Xia (ICC, 2023)

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. - Hao Fang 011; Bin Chen 011; Xuan Wang 002; Zhi Wang 001; Shu-Tao Xia (ICCV, 2023)

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. - Yaohua Zha; Jinpeng Wang 002; Tao Dai 001; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (ICCV, 2023)

LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. - Tianxiang Li; Bin Chen 011; Qian-Wei Wang; Yujun Huang; Shu-Tao Xia (ICIP, 2023)

Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. - Mingqing Wang; Jiawei Li 006; Zhenyang Li; Chengxiao Luo; Bin Chen 011; Shu-Tao Xia; Zhi Wang 001 (ICIP, 2023)

DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. - Xinyi Zhang; Tao Dai 001; Bin Chen 011; Shu-Tao Xia (IJCNN, 2023)

DAGC: Data-Aware Adaptive Gradient Compression. - Rongwei Lu; Jiajun Song; Bin Chen 011; Laizhong Cui; Zhi Wang 001 (INFOCOM, 2023)

Binary MDS Array Codes with Flexible Array Dimensions and Their Fast Encoding. - Jingjie Lv; Weijun Fang; Bin Chen 011; Shu-Tao Xia; Xiangyu Chen 004 (ISIT, 2023)

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. - Hang Guo; Tao Dai 001; Mingyan Zhu 001; Guanghao Meng; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (ACM Multimedia, 2023)

DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing. - Rongwei Lu; Yutong Jiang; Yinan Mao; Chen Tang; Bin Chen 011; Laizhong Cui; Zhi Wang 001 (CoRR, 2023)

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. - Shiyu Qin; Yi-Min Zhou 011; Jinpeng Wang 002; Bin Chen 011; Baoyi An; Tao Dai 001; Shu-Tao Xia (CoRR, 2023)

Perceptual Image Compression with Cooperative Cross-Modal Side Information. - Shiyu Qin; Bin Chen 011; Yujun Huang; Baoyi An; Tao Dai 001; Shu-Tao Xia (CoRR, 2023)

AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models. - Hang Guo; Tao Dai 001; Yuanchao Bai; Bin Chen 011; Shu-Tao Xia; Zexuan Zhu (CoRR, 2023)

FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information. - Yichong Xia; Yujun Huang; Bin Chen 011; Haoqian Wang; Yaowei Wang 001 (CoRR, 2023)

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. - Bin Chen 011; Yan Feng; Tao Dai 001; Jiawang Bai; Yong Jiang 001; Shu-Tao Xia; Xuan Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Perfect LRCs and k-optimal LRCs. - Weijun Fang; Bin Chen 011; Shu-Tao Xia; Fang-Wei Fu 001; Xiangyu Chen 004 (Des. Codes Cryptogr., 2023)

Singleton-optimal LRCs and perfect LRCs via cyclic and constacyclic codes. - Weijun Fang; Fang-Wei Fu 001; Bin Chen 011; Shu-Tao Xia (Finite Fields Their Appl., 2023)

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. - Yuting Wang; Jinpeng Wang 002; Bin Chen 011; Ziyun Zeng; Shu-Tao Xia (AAAI, 2024)

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. - Yaohua Zha; Huizhen Ji; Jinmin Li; Rongsheng Li; Tao Dai 001; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (AAAI, 2024)

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. - Taolin Zhang 003; Sunan He; Tao Dai 001; Zhi Wang 001; Bin Chen 011; Shu-Tao Xia (AAAI, 2024)

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. - Hao Fang 011; Jiawei Kong; Bin Chen 011; Tao Dai 001; Hao Wu; Shu-Tao Xia (ECCV (28), 2024)

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. - Yixiang Qiu; Hao Fang 011; Hongyao Yu; Bin Chen 011; Mei Kang Qiu; Shu-Tao Xia (ECCV (32), 2024)

A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. - Jiajun Song; Jiajun Luo; Rongwei Lu; Shuzhao Xie; Bin Chen 011; Zhi Wang 001 (Euro-Par (3), 2024)

WaterDiff: Perceptual Image Watermarks Via Diffusion Model. - Yuqi Tan; Yuang Peng; Hao Fang 011; Bin Chen 011; Shu-Tao Xia (ICASSP, 2024)

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. - Shiyu Qin; Yi-Min Zhou 011; Jin-Peng Wang; Bin Chen 011; Baoyi An; Tao Dai 001; Shu-Tao Xia (ICIP, 2024)

Invertible Residual Rescaling Models. - Jinmin Li; Tao Dai 001; Yaohua Zha; Yilu Luo; Longfei Lu; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia; Jingyun Zhang (IJCAI, 2024)

GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. - Yuqiu Xie; Bolin Jiang; Jiawei Li 006; Naiqi Li; Bin Chen 011; Tao Dai 001; Yuang Peng; Shu-Tao Xia (IJCAI, 2024)

Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes. - Qinshan Zhang; Bin Chen 011; Tianqu Zhuang; Yong Jiang 001; Shu-Tao Xia (ISIT, 2024)

IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. - Bolin Jiang; Yuqiu Xie; Jiawei Li 006; Naiqi Li; Bin Chen 011; Shu-Tao Xia (ACM Multimedia, 2024)

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. - Taolin Zhang 003; Jinpeng Wang 002; Hang Guo; Tao Dai 001; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts. - Hang Guo; Tao Dai 001; Yuanchao Bai; Bin Chen 011; Xudong Ren; Zexuan Zhu; Shu-Tao Xia (NeurIPS, 2024)

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. - Hang Guo; Tao Dai 001; Zhihao Ouyang; Taolin Zhang 003; Yaohua Zha; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. - Yaohua Zha; Naiqi Li; Yanzi Wang; Tao Dai 001; Hang Guo; Bin Chen 011; Zhi Wang 001; Zhihao Ouyang; Shu-Tao Xia (NeurIPS, 2024)

COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation. - Ziyuan Zhang; Han Qiu 001; Maosen Zhang; Jun Liu 063; Bin Chen 011; Tianwei Zhang 004; Hewu Li (NeurIPS, 2024)

Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. - Wenbo Yu; Bin Chen 011; Qinshan Zhang; Shu-Tao Xia (VTC Spring, 2024)

FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning. - Yang Cao; Hao Fang 011; Bin Chen 011; Xuan Wang 002; Shutao Xia (WCSP, 2024)

Fast Implicit Neural Representation Image Codec in Resource-limited Devices. - Xiang Liu; Jiahong Chen; Bin Chen 011; Zimo Liu; Baoyi An; Shu-Tao Xia (CoRR, 2024)

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses. - Hao Fang 011; Yixiang Qiu; Hongyao Yu; Wenbo Yu; Jiawei Kong; Baoli Chong; Bin Chen 011; Xuan Wang 002; Shu-Tao Xia (CoRR, 2024)

GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval. - Yuting Wang; Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Ruisheng Luo; Shu-Tao Xia (CoRR, 2024)

MambaVC: Learned Visual Compression with Selective State Spaces. - Shiyu Qin; Jinpeng Wang 002; Yimin Zhou 011; Bin Chen 011; Tianci Luo; Baoyi An; Tao Dai 001; Shutao Xia; Yaowei Wang 001 (CoRR, 2024)

GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search. - Wenbo Yu; Hao Fang 011; Bin Chen 011; Xiaohang Sui; Chuan Chen; Hao Wu; Shu-Tao Xia; Ke Xu (CoRR, 2024)

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models. - Hao Fang 011; Jiawei Kong; Wenbo Yu; Bin Chen 011; Jiawei Li 006; Shutao Xia; Ke Xu (CoRR, 2024)

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. - Xinhao Zhong; Hao Fang 011; Bin Chen 011; Xulin Gu; Tao Dai 001; Meikang Qiu; Shu-Tao Xia (CoRR, 2024)

CLIP-Guided Networks for Transferable Targeted Attacks. - Hao Fang 011; Jiawei Kong; Bin Chen 011; Tao Dai 001; Hao Wu; Shu-Tao Xia (CoRR, 2024)

3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors. - Yujun Huang; Bin Chen 011; Niu Lian; Baoyi An; Shu-Tao Xia (CoRR, 2024)

COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation. - Ziyuan Zhang; Han Qiu 001; Maosen Zhang; Jun Liu 063; Bin Chen 011; Tianwei Zhang 004; Hewu Li (CoRR, 2024)

MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense. - Yixiang Qiu; Hongyao Yu; Hao Fang 011; Wenbo Yu; Bin Chen 011; Xuan Wang 002; Shu-Tao Xia; Ke Xu (CoRR, 2024)

CALoR: Towards Comprehensive Model Inversion Defense. - Hongyao Yu; Yixiang Qiu; Hao Fang 011; Bin Chen 011; Sijin Yu; Bin Wang 034; Shu-Tao Xia; Ke Xu (CoRR, 2024)

Towards Scalable Semantic Representation for Recommendation. - Taolin Zhang 003; Junwei Pan; Jinpeng Wang 002; Yaohua Zha; Tao Dai 001; Bin Chen 011; Ruisheng Luo; Xiaoxiang Deng; Yuan Wang; Ming Yue; Jie Jiang 015; Shu-Tao Xia (CoRR, 2024)

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. - Yaohua Zha; Tao Dai 001; Yanzi Wang; Hang Guo; Taolin Zhang 003; Zhihao Ouyang; Chunlin Fan; Bin Chen 011; Ke Chen; Shu-Tao Xia (CoRR, 2024)

Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing. - Bin Chen 011; Wenbo Yu; Qinshan Zhang; Shu-Tao Xia (CoRR, 2024)

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking. - Yuqi Tan; Xiang Liu; Shuzhao Xie; Bin Chen 011; Shu-Tao Xia; Zhi Wang 001 (CoRR, 2024)

Efficient Dataset Distillation via Diffusion-Driven Patch Selection for Improved Generalization. - Xinhao Zhong; Shuoyang Sun; Xulin Gu; Zhaoyang Xu; Yaowei Wang 001; Jianlong Wu; Bin Chen 011 (CoRR, 2024)

CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems. - Bin Chen 011; Dong Tang; Yujun Huang; Baoyi An; Yaowei Wang 001; Xuan Wang 002 (IEEE Internet Things J., 2024)

Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression. - Yichong Xia; Bin Chen 011; Yan Feng; Tianshuo Ge; Yujun Huang; Haoqian Wang; Yaowei Wang 001 (Pattern Recognit., 2024)

Pyramid hybrid pooling quantization for efficient fine-grained image retrieval. - Ziyun Zeng; Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Shu-Tao Xia; Zhi Wang 001 (Pattern Recognit. Lett., 2024)

New Constructions of MDS Array Codes and Optimal Locally Repairable Array Codes. - Weijun Fang; Jingjie Lv; Bin Chen 011; Shu-Tao Xia; Xiangyu Chen 004 (IEEE Trans. Inf. Theory, 2024)

FlexNF: Flexible Network Function Orchestration for Scalable On-Path Service Chain Serving. - Jingyu Xiao; Xudong Zuo; Qing Li 006; Dan Zhao 003; Hanyu Zhao; Yong Jiang 001; Jiyong Sun; Bin Chen 011; Yong Liang; Jie Li (IEEE/ACM Trans. Netw., 2024)

Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers. - Jinpeng Wang 002; Ziyun Zeng; Bin Chen 011; Yuting Wang; Dongliang Liao; Gongfu Li; Yiru Wang; Shu-Tao Xia (Int. J. Comput. Vis., 2024)

Optimal ternary locally repairable codes. - Jie Hao 001; Shu-Tao Xia; Kenneth W. Shum; Bin Chen 011; Fang-Wei Fu 001; Yixian Yang (Des. Codes Cryptogr., 2024)

Bounds and Constructions of Singleton-Optimal Locally Repairable Codes With Small Localities. - Weijun Fang; Ran Tao 010; Fang-Wei Fu 001; Bin Chen 011; Shu-Tao Xia (IEEE Trans. Inf. Theory, 2024)

Efficient Self-Supervised Video Hashing with Selective State Spaces. - Jinpeng Wang 002; Niu Lian; Jun Li; Yuting Wang; Yan Feng; Bin Chen 011; Yongbing Zhang 002; Shu-Tao Xia (AAAI, 2025)

Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings. - Haomiao Tang; Jinpeng Wang 002; Yuang Peng; Guanghao Meng; Ruisheng Luo; Bin Chen 011; Long Chen 016; Yaowei Wang 001; Shutao Xia (ACL (1), 2025)

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning. - Jinpeng Wang 002; Tianci Luo; Yaohua Zha; Yan Feng; Ruisheng Luo; Bin Chen 011; Tao Dai 001; Long Chen 016; Yaowei Wang 001; Shu-Tao Xia (CVPR, 2025)

AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing. - Niu Lian; Jun Li; Jinpeng Wang 002; Ruisheng Luo; Yaowei Wang 001; Shu-Tao Xia; Bin Chen 011 (CVPR, 2025)

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. - Yaohua Zha; Yanzi Wang; Hang Guo; Jinpeng Wang 002; Tao Dai 001; Bin Chen 011; Zhihao Ouyang; Xue Yuerong; Ke Chen; Shu-Tao Xia (CVPR, 2025)

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation. - Xinhao Zhong; Hao Fang 011; Bin Chen 011; Xulin Gu; Meikang Qiu; Shuhan Qi; Shu-Tao Xia (CVPR, 2025)

LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec. - Jiahong Chen; Xiang Liu; Bin Chen 011; Baoyi An; Tao Dai 001; Shu-Tao Xia (ICASSP, 2025)

RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense. - Shuoyang Sun; Kaiwen Zhang; Hao Fang 011; Bin Chen 011; Jiawei Li 006; Enze Huo; Shu-Tao Xia (ICASSP, 2025)

An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression. - Xiang Liu; Bin Chen 011; Zimo Liu; Yaowei Wang 001; Shu-Tao Xia (ICLR, 2025)

DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement. - Yichong Xia; Yimin Zhou 011; Jinpeng Wang 002; Baoyi An; Haoqian Wang; Yaowei Wang 001; Bin Chen 011 (ICLR, 2025)

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information. - Xinhao Zhong; Bin Chen 011; Hao Fang 011; Xulin Gu; Shu-Tao Xia; En-Hui Yang (ICLR, 2025)

Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks. - Tianqu Zhuang; Hongyao Yu; Yixiang Qiu; Hao Fang 011; Bin Chen 011; Shu-Tao Xia (ICLR, 2025)

γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. - Rongwei Lu; Yutong Jiang; Jinrui Zhang; Chunyang Li; Yifei Zhu 001; Bin Chen 011; Zhi Wang 001 (INFOCOM, 2025)

Generative Adversarial CLIPs for Unsupervised Backlit Image Enhancement. - Dong Tang; Suoyang Sun; Yujun Huang; Bin Chen 011 (WASA (1), 2025)

FCA-Net: Accelerating stereo image compression through cascade alignment of side information. - Yichong Xia; Yujun Huang; Bin Chen 011; Genping Wang; Haoqian Wang; Yaowei Wang 001 (Pattern Recognit., 2025)

Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models. - Hao Fang 011; Xiaohang Sui; Hongyao Yu; Jiawei Kong; Sijin Yu; Bin Chen 011; Hao Wu; Shu-Tao Xia (CoRR, 2025)

Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models. - Jiawei Kong; Hao Fang 011; Sihang Guo; Chenxi Qing; Bin Chen 011; Bin Wang 034; Shu-Tao Xia (CoRR, 2025)

Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing. - Rongwei Lu; Yutong Jiang; Yinan Mao; Chen Tang; Bin Chen 011; Laizhong Cui; Zhi Wang 001 (IEEE Trans. Mob. Comput., 2025)

Towards Facial Image Compression with Consistency Preserving Diffusion Prior. - Yimin Zhou 011; Yichong Xia; Bin Chen 011; Baoyi An; Haoqian Wang; Zhi Wang 001; Yaowei Wang 001; Zikun Zhou (CoRR, 2025)

High Quality Underwater Image Compression with Adaptive Correction and Codebook-based Augmentation. - Yi-Min Zhou 011; Yichong Xia; Sicheng Pan; Bin Chen 011; Baoyi An; Haoqian Wang; Zhi Wang 001; Yaowei Wang 001; Zikun Zhou (CoRR, 2025)

Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors. - Hao Fang 011; Jiawei Kong; Tianqu Zhuang; Yixiang Qiu; Kuofeng Gao; Bin Chen 011; Shu-Tao Xia; Yaowei Wang 001; Min Zhang 005 (CoRR, 2025)

Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models. - Jiawei Kong; Hao Fang 011; Xiaochen Yang; Kuofeng Gao; Bin Chen 011; Shu-Tao Xia; Yaowei Wang 001; Min Zhang 005 (CoRR, 2025)

Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs. - Hao Fang 011; Changle Zhou; Jiawei Kong; Kuofeng Gao; Bin Chen 011; Tao Liang; Guojun Ma; Shu-Tao Xia (CoRR, 2025)

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets. - Xulin Gu; Xinhao Zhong; Zhixing Wei; Yimin Zhou 011; Shuoyang Sun; Bin Chen 011; Hongpeng Wang; Yuan Luo (CoRR, 2025)

ICAS: Detecting Training Data from Autoregressive Image Generative Models. - Hongyao Yu; Yixiang Qiu; Yiheng Yang; Hao Fang 011; Tianqu Zhuang; Jiaxin Hong; Bin Chen 011; Hao Wu; Shu-Tao Xia (CoRR, 2025)

HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning. - Jun Li; Jinpeng Wang 002; Chaolei Tan; Niu Lian; Long Chen 016; Yaowei Wang 001; Min Zhang 005; Shu-Tao Xia; Bin Chen 011 (CoRR, 2025)

EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow. - Zeyi Lu; Xiaoxiao Ma; Yujun Huang; Minxiao Chen; Bin Chen 011; Baoyi An; Shu-Tao Xia (CoRR, 2025)

MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network. - Yujun Huang; Bin Chen 011; Naiqi Li; Baoyi An; Shu-Tao Xia; Yaowei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Image Compression for Resource-Constrained AIoT System With Compressed Sensing. - Bin Chen 011; Yujun Huang; Han Qiu 001; Shu-Tao Xia; Wei Fei; Xuan Wang 002; Meikang Qiu (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Perceptual image compression with textual side information. - Shiyu Qin; Bin Chen 011; Yujun Huang; Baoyi An; Tao Dai 001; Shu-Tao Xia (Pattern Recognit., 2026)