Shu-Tao Xia - RankMe

561 papers A* 99A 12B 62C 11Misc 33Journal 292Unranked 52

Year	Rank	Type	Title / 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	A*	`conf`	CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection. AAAI Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2026	J	`jnl`	CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting. CoRR Yaohua Zha, Chunlin Fan, Peiyuan Liu, Yong Jiang, Tao Dai, Hai Wu, Shu-Tao Xia
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`	Explicit Uncertainty Modeling for Active CLIP Adaptation with Dual Prompt Tuning. CoRR Qian-Wei Wang, Yaguang Song, Shu-Tao Xia
2026	J	`jnl`	Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner. CoRR Qian-Wei Wang, Guanghao Meng, Ren Cai, Yaguang Song, Shu-Tao Xia
2026	J	`jnl`	Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting. CoRR Yixin Wang, Yifan Hu, Peiyuan Liu, Naiqi Li, Tao Dai, Shu-Tao Xia
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	A*	`conf`	Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning. AAAI Haomiao Tang, Jinpeng Wang, Minyi Zhao, Guanghao Meng, Ruisheng Luo, Long Chen, Shu-Tao Xia
2026	J	`jnl`	Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning. CoRR Haomiao Tang, Jinpeng Wang, Minyi Zhao, Guanghao Meng, Ruisheng Luo, Long Chen, Shu-Tao Xia
2026	J	`jnl`	Improved Constructions of Reed-Solomon Codes with Optimal Repair Bandwidth. CoRR Jing Qiu, Weijun Fang, Shu-Tao Xia, Fang-Wei Fu
2026	A*	`conf`	Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation. AAAI Yuxuan Chou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, 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`	Some bounds on the cardinality of the b-symbol weight spectrum of codes. Discret. Math. Hongwei Zhu, Shitao Li, Minjia Shi, Shu-Tao Xia, Patrick Solé
2026	J	`jnl`	SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization. CoRR Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong 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`	Toward Dataset Copyright Evasion Attack Against Personalized Text-to-Image Diffusion Models. IEEE Trans. Inf. Forensics Secur. Kuofeng Gao, Yufei Zhu, Yiming Li, Jiawang Bai, Yong Yang, Zhifeng Li, Shu-Tao Xia
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	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
2026	A*	`conf`	Vertical Semi-Federated Learning for Efficient Online Advertising. WWW Wenjie Li, Shu-Tao Xia, Jiangke Fan, Teng Zhang, Xingxing Wang
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	A*	`conf`	Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception. CVPR Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, 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`	CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. AAAI Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
2025	J	`jnl`	CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection. CoRR Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2025	J	`jnl`	CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking. CoRR Yiming Li, Kaiying Yan, Shuo Shao, Tongqing Zhai, Shu-Tao Xia, Zhan Qin, Dacheng Tao
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`	Constructions of block MDS LDPC codes from punctured circulant matrices. CoRR Hongwei Zhu, Xuantai Wu, Jingjie Lv, Qinshan Zhang, Shu-Tao Xia
2025	J	`jnl`	Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark. CoRR Wenjie Li, Siying Gu, Yiming Li, Kangjie Chen, Zhili Chen, Tianwei Zhang, Shu-Tao Xia, Dacheng Tao
2025	A*	`conf`	Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. AAAI Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia
2025	J	`jnl`	Distribution-informed Online Conformal Prediction. CoRR Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou
2025	A*	`conf`	DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation. ICLR Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia
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	J	`jnl`	Efficient Differentiable Approximation of Generalized Low-rank Regularization. CoRR Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, 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`	Error-quantified Conformal Inference for Time Series. ICLR Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou
2025	J	`jnl`	Error-quantified Conformal Inference for Time Series. CoRR Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou
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`	FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning. CoRR Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini
2025	J	`jnl`	FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. CoRR Yifan Hu, Peiyuan Liu, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia
2025	A*	`conf`	GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. AAAI Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu
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	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	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`	Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features. CoRR Linghui Zhu, Yiming Li, Haiqin Weng, Yan Liu, Tianwei Zhang, Shu-Tao Xia, Zhi Wang
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	J	`jnl`	Imperceptible Jailbreaking against Large Language Models. CoRR Kuofeng Gao, Yiming Li, Chao Du, Xin Wang, Xingjun Ma, Shu-Tao Xia, Tianyu Pang
2025	J	`jnl`	Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation. CoRR Yuxuan Zhou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, Shu-Tao Xia
2025	A*	`conf`	IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. ICML Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini
2025	J	`jnl`	JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework. CoRR Yuxuan Zhou, Yang Bai, Kuofeng Gao, Tao Dai, Shu-Tao 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`	Large Foundation Model for Ads Recommendation. CoRR Shangyu Zhang, Shijie Quan, Zhongren Wang, Junwei Pan, Tianqu Zhuang, Bo Fu, Yilong Sun, Jieying Lin, Jushuo Chen, Xiaotian Li, Zhixiang Feng, Xian Hu, Huiting Deng, Hua Lu, Jinpeng Wang, Boqi Dai, Xiaoyu Chen, Bin Hu, Lili Huang, Yanwen Wu, Yeshou Cai, Qi Zhou, Huang Tang, Chunfeng Yang, Chengguo Yin, Tingyu Jiang, Lifeng Wang, Shudong Huang, Dapeng Liu, Lei Xiao, Haijie Gu, Shu-Tao Xia, Jie Jiang
2025	J	`jnl`	Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language. CoRR Naiqi Li, Peiyuan Liu, Zheng Liu, Tao Dai, Yong Jiang, 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	—	`conf`	MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. WWW (Companion Volume) Yujun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia
2025	J	`jnl`	MOVE: Effective and Harmless Ownership Verification via Embedded External Features. IEEE Trans. Pattern Anal. Mach. Intell. Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao, Kui Ren
2025	A*	`conf`	MambaIRv2: Attentive State Space Restoration. CVPR Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
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	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	J	`jnl`	New Constructions of q-Ary MDS Array Codes Derived From F IEEE Trans. Inf. Theory Jingjie Lv, Hongwei Zhu, Weijun Fang, Hanxu Hou, Shu-Tao Xia
2025	J	`jnl`	New MRA Schemes Based on the CRT for Polynomial Rings. IEEE Trans. Inf. Theory Jing Yang, Xianfang Wang, Can Xiang, Fang-Wei Fu, 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	A*	`conf`	Pre-Trained Vision-Language Models as Noisy Partial Annotators. AAAI Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia
2025	J	`jnl`	Pre-trained Vision-Language Models Assisted Noisy Partial Label Learning. CoRR Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia
2025	A*	`conf`	Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations. CVPR Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia
2025	J	`jnl`	Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations. CoRR Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia
2025	—	`conf`	ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences. KDD (2) Xingyu Lu, Jinpeng Wang, Jieming Zhu, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng, Shu-Tao Xia, Rui Zhang
2025	J	`jnl`	RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization. CoRR Wen Huang, Jiarui Yang, Tao Dai, Jiawei Li, Shaoxiong Zhan, Bin Wang, Shu-Tao Xia
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	—	`conf`	Secure and Scalable Face Retrieval via Cancelable Product Quantization. PRCV (6) Haomiao Tang, Wenjie Li, Yixiang Qiu, Genping Wang, Shu-Tao Xia
2025	J	`jnl`	Secure and Scalable Face Retrieval via Cancelable Product Quantization. CoRR Haomiao Tang, Wenjie Li, Yixiang Qiu, Genping Wang, 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`	The b-Symbol Hamming Weight Spectra of Quaternary Kerdock Codes and Related Codes. IEEE Trans. Inf. Theory Hongwei Zhu, Xiaoxiao Li, Minjia Shi, Shu-Tao Xia, Tor Helleseth
2025	A*	`conf`	TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. ICML Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia
2025	A*	`conf`	TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. ICML Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan
2025	J	`jnl`	TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. CoRR Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan
2025	J	`jnl`	Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models. CoRR Kuofeng Gao, Yufei Zhu, Yiming Li, Jiawang Bai, Yong Yang, Zhifeng Li, Shu-Tao Xia
2025	J	`jnl`	Towards Sample-Specific Backdoor Attack With Clean Labels via Attribute Trigger. IEEE Trans. Dependable Secur. Comput. Mingyan Zhu, Yiming Li, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin
2025	J	`jnl`	Two Generic Constructions of MDS Array Codes With Optimal Repair Bandwidth From Two Special Sets. IEEE Trans. Inf. Theory Hongwei Zhu, Jingjie Lv, Shu-Tao Xia, Hanxu Hou
2025	J	`jnl`	VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping. CoRR Haotian Dong, Ye Li, Rongwei Lu, Chen Tang, Shu-Tao Xia, Zhi Wang
2025	J	`jnl`	Why does weak-OOD help? A Further Step Towards Understanding Jailbreaking VLMs. CoRR Yuxuan Zhou, Yuzhao Peng, Yang Bai, Kuofeng Gao, Yihao Zhang, Yechao Zhang, Xun Chen, Tao Yu, Tao Dai, Shu-Tao Xia
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
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	B	`conf`	A New Multi-Receiver Authentication Scheme for General Access Structure. ISIT Jing Yang, Shu-Tao Xia, Xianfang Wang, Can Xiang, Fang-Wei Fu
2024	B	`conf`	A Perfect Ideal Hierarchical Secret Sharing Scheme Based on the CRT for Polynomial Rings. ISIT Jing Yang, Shu-Tao Xia, Xianfang Wang, Jiangtao Yuan, Fang-Wei Fu
2024	J	`jnl`	Adversarial Robustness for Visual Grounding of Multimodal Large Language Models. CoRR Kuofeng Gao, Yang Bai, Jiawang Bai, Yong Yang, Shu-Tao Xia
2024	B	`conf`	An Explicit Construction of $q\text{-ary}$ MDS Array Codes and Their Efficient Decoding. ISIT Jingjie Lv, Weijun Fang, Shu-Tao Xia, Hanxu Hou
2024	J	`jnl`	Anno-incomplete Multi-dataset Detection. CoRR Yiran Xu, Haoxiang Zhong, Kai Wu, Jialin Li, Yong Liu, Chengjie Wang, Shu-Tao Xia, Hongen Liao
2024	J	`jnl`	Backdoor Attack With Sparse and Invisible Trigger. IEEE Trans. Inf. Forensics Secur. Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang
2024	J	`jnl`	Backdoor Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. Yiming Li, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2024	A*	`conf`	BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. CVPR Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu
2024	J	`jnl`	Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models. CoRR Kuofeng Gao, Shu-Tao Xia, Ke Xu, Philip Torr, Jindong Gu
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	A*	`conf`	Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. IJCAI Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo
2024	J	`jnl`	Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. CoRR Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo
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	Misc	`conf`	CAGEN: Controllable Anomaly Generator using Diffusion Model. ICASSP Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, 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	J	`jnl`	CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution. IEEE Trans. Emerg. Top. Comput. Intell. Tao Dai, Mengxi Ya, Jinmin Li, Xinyi Zhang, Shu-Tao Xia, Zexuan Zhu
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	A*	`conf`	Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. AAAI Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia
2024	A*	`conf`	DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting. NeurIPS Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu
2024	J	`jnl`	Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. Int. J. Comput. Vis. Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia
2024	J	`jnl`	Denial-of-Service Poisoning Attacks against Large Language Models. CoRR Kuofeng Gao, Tianyu Pang, Chao Du, Yong Yang, Shu-Tao Xia, Min Lin
2024	J	`jnl`	DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation. CoRR Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia
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 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`	Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples. CoRR Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip Torr, Wei Liu, Zhifeng Li
2024	A*	`conf`	Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor. NeurIPS Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang
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	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	J	`jnl`	Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Trans. Inf. Forensics Secur. Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia
2024	A*	`conf`	Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. ICLR Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
2024	J	`jnl`	Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. CoRR Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
2024	J	`jnl`	IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. CoRR Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini
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	A*	`conf`	Large Point-to-Gaussian Model for Image-to-3D Generation. ACM Multimedia Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia
2024	J	`jnl`	Large Point-to-Gaussian Model for Image-to-3D Generation. CoRR Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, 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	—	`conf`	MambaIR: A Simple Baseline for Image Restoration with State-Space Model. ECCV (18) Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia
2024	J	`jnl`	MambaIR: A Simple Baseline for Image Restoration with State-Space Model. CoRR Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia
2024	J	`jnl`	MambaIRv2: Attentive State Space Restoration. CoRR Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
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`	Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
2024	A*	`conf`	Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers. CVPR Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia
2024	J	`jnl`	On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Trans. Neural Networks Learn. Syst. Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
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	—	`conf`	Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. ECCV (45) Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
2024	J	`jnl`	Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
2024	A*	`conf`	Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
2024	J	`jnl`	Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
2024	J	`jnl`	Pre-Trained Vision-Language Models as Partial Annotators. CoRR Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia
2024	J	`jnl`	Pre-training Point Cloud Compact Model with Partial-aware Reconstruction. CoRR Yaohua Zha, Yanzi Wang, Tao Dai, 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	—	`conf`	RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
2024	J	`jnl`	RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
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	J	`jnl`	Some bounds on the cardinality of the CoRR Hongwei Zhu, Shitao Li, Minjia Shi, Shu-Tao Xia, Patrick Solé
2024	J	`jnl`	Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. CoRR Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
2024	J	`jnl`	TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. CoRR Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, 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	A*	`conf`	Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. ICLR Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, 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	J	`jnl`	Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs. CoRR Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, 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`	WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
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	Misc	`conf`	BATT: Backdoor Attack with Transformation-Based Triggers. ICASSP Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
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	J	`jnl`	Backdoor Attack with Sparse and Invisible Trigger. CoRR Yinghua Gao, Yiming Li, Xueluan Gong, Shu-Tao Xia, Qian Wang
2023	A*	`conf`	Backdoor Defense via Adaptively Splitting Poisoned Dataset. CVPR Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia
2023	J	`jnl`	Backdoor Defense via Adaptively Splitting Poisoned Dataset. CoRR Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia
2023	Misc	`conf`	Backdoor Defense via Suppressing Model Shortcuts. ICASSP Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia
2023	J	`jnl`	BackdoorBox: A Python Toolbox for Backdoor Learning. CoRR Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia
2023	J	`jnl`	BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. CoRR Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu
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	J	`jnl`	Black-Box Dataset Ownership Verification via Backdoor Watermarking. IEEE Trans. Inf. Forensics Secur. Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Tao Wei, Shu-Tao Xia
2023	A*	`conf`	Contrastive Masked Autoencoders for Self-Supervised Video Hashing. AAAI Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia
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	J	`jnl`	DELTA: degradation-free fully test-time adaptation. CoRR Bowen Zhao, Chen Chen, Shu-Tao Xia
2023	A*	`conf`	Delta: Degradation-Free Fully Test-Time Adaptation. ICLR Bowen Zhao, Chen Chen, Shu-Tao Xia
2023	J	`jnl`	Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. CoRR Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, 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	A*	`conf`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. NeurIPS Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. CoRR Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia
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`	Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction. CIKM Chen-Hui Song, Xi Xiao, Bin Zhang, 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`	Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023	J	`jnl`	Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, 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`	MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. ACM Multimedia Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia
2023	J	`jnl`	MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. CoRR Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia
2023	J	`jnl`	New Constructions of q-Ary MDS Array Codes With Multiple Parities and Their Effective Decoding. IEEE Trans. Inf. Theory Jingjie Lv, Weijun Fang, Xiangyu Chen, Jing Yang, Shu-Tao Xia
2023	J	`jnl`	Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia
2023	A*	`conf`	One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. ICCV Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
2023	J	`jnl`	One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. CoRR Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
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	A*	`conf`	Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. AAAI Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, 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`	Query efficient black-box adversarial attack on deep neural networks. Pattern Recognit. Yang Bai, Yisen Wang, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia
2023	Misc	`conf`	SFR: Semantic-Aware Feature Rendering of Point Cloud. ICASSP Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia
2023	Misc	`conf`	Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. ICASSP Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, 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`	TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale. CoRR Ziyun Zeng, Yixiao Ge, Zhan Tong, Xihui Liu, Shu-Tao Xia, Ying Shan
2023	J	`jnl`	Toward Effective Image Manipulation Detection With Proposal Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, 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	A*	`conf`	Towards Robust Model Watermark via Reducing Parametric Vulnerability. ICCV Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia
2023	A*	`conf`	Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. IJCAI Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
2023	J	`jnl`	Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. CoRR Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
2023	J	`jnl`	Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger. CoRR Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin
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	A*	`conf`	Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. ICCV Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia
2023	Misc	`conf`	Untargeted Backdoor Attack Against Object Detection. ICASSP Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia
2023	J	`jnl`	Versatile Weight Attack via Flipping Limited Bits. IEEE Trans. Pattern Anal. Mach. Intell. Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia
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
2023	J	`jnl`	WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting. CoRR Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling. CoRR Qiang Li, Tao Dai, Shu-Tao Xia
2022	J	`jnl`	A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients. IEEE Internet Things J. Linghui Zhu, Xinyi Liu, Yiming Li, Xue Yang, Shu-Tao Xia, Rongxing Lu
2022	B	`conf`	ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts. IJCNN Lingyu Yang, Hongjia Li, Lei Li, Chun Yuan, Shu-Tao Xia
2022	B	`conf`	Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. ICIP Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
2022	J	`jnl`	Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution. CoRR Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
2022	A*	`conf`	An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. WWW Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu
2022	J	`jnl`	BATT: Backdoor Attack with Transformation-based Triggers. CoRR Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Backdoor Defense via Suppressing Model Shortcuts. CoRR Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Black-box Ownership Verification for Dataset Protection via Backdoor Watermarking. CoRR Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Shu-Tao Xia
2022	A*	`conf`	Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. CVPR Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, 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`	Constructions and Weight Distributions of Optimal Locally Repairable Codes. IEEE Trans. Commun. Jie Hao, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu, Yixian Yang
2022	—	`conf`	Context Feature Guided Network for Image Super-resolution. ICDIS Mengxi Ya, Tao Dai, Ling Liu, Jieyin Lv, Shu-Tao 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	A	`conf`	Deep Dirichlet process mixture models. UAI Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia
2022	B	`conf`	Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. IJCNN Jifeng Sun, Wentao Fu, Jianwu Lin, Yong Jiang, Shu-Tao Xia
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`	Defending against Model Stealing via Verifying Embedded External Features. AAAI Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
2022	A*	`conf`	Few-Shot Backdoor Attacks on Visual Object Tracking. ICLR Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Few-Shot Backdoor Attacks on Visual Object Tracking. CoRR Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
2022	—	`conf`	Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips. ECCV (5) Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu
2022	J	`jnl`	Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips. CoRR Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu
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	J	`jnl`	Imperceptible and Robust Backdoor Attack in 3D Point Cloud. CoRR Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia
2022	—	`conf`	Improving Vision Transformers by Revisiting High-Frequency Components. ECCV (24) Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu
2022	J	`jnl`	Improving Vision Transformers by Revisiting High-frequency Components. CoRR Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu
2022	A	`conf`	LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022	Misc	`conf`	Learnable Hypergraph Laplacian for Hypergraph Learning. ICASSP Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao 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	J	`jnl`	MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
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	—	`conf`	Multi-task Ranking with User Behaviors for Text-video Search. WWW (Companion Volume) Peidong Liu, Dongliang Liao, Jinpeng Wang, Yangxin Wu, Gongfu Li, Shu-Tao Xia, Jin Xu
2022	J	`jnl`	Multinomial random forest. Pattern Recognit. Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
2022	—	`conf`	NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer. ECCV (32) Yunxiao Wang, YanJie Li, Peidong Liu, Tao Dai, Shu-Tao Xia
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`	New constructions of self-dual generalized Reed-Solomon codes. Cryptogr. Commun. Weijun Fang, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu
2022	J	`jnl`	On the Effectiveness of Adversarial Training against Backdoor Attacks. CoRR Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
2022	J	`jnl`	Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer. CoRR Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia
2022	B	`conf`	PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection. IJCNN Hongjia Li, Lingyu Yang, Lei Li, Chengyin Xu, Shu-Tao Xia, Chun Yuan
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	Misc	`conf`	Self-Ensemble Variance Regularization for Domain Adaptation. ICASSP Xinyi Liu, Tao Dai, Shu-Tao Xia, Yong Jiang
2022	J	`jnl`	Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer. CoRR Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia
2022	J	`jnl`	Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2022	—	`conf`	SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation. ECCV (6) YanJie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, 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`	Towards Effective Image Manipulation Detection with Proposal Contrastive Learning. CoRR Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia
2022	J	`jnl`	Towards Mitigating the Problem of Insufficient and Ambiguous Supervision in Online Crowdsourcing Annotation. CoRR Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia
2022	J	`jnl`	Untargeted Backdoor Attack against Object Detection. CoRR Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	A*	`conf`	Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. NeurIPS Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
2022	J	`jnl`	Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. CoRR Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
2022	J	`jnl`	Vertical Semi-Federated Learning for Efficient Online Advertising. CoRR Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia
2021	J	`jnl`	Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association. CoRR Sen Yang, Zhicheng Wang, Ze Chen, YanJie Li, Shoukui Zhang, Zhibin Quan, Shu-Tao Xia, Yiping Bao, Erjin Zhou, Wankou Yang
2021	Misc	`conf`	Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing. ICASSP Tianlei Zhu, Jiawei Li, Xinji Liu, Yong Jiang, Shu-Tao Xia
2021	Misc	`conf`	Backdoor Attack Against Speaker Verification. ICASSP Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2021	J	`jnl`	Backdoor Attack in the Physical World. CoRR Yiming Li, Tongqing Zhai, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2021	B	`conf`	Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models. IJCNN Xiao Wei, Yao Zhu, Shu-Tao Xia
2021	Misc	`conf`	Bishift-Net for Image Inpainting. ICASSP Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia
2021	A	`conf`	CUBIST: High-Quality 360-Degree Video Streaming Services via Tile-based Edge Caching and FoV-Adaptive Prefetching. ICWS Dongbiao He, Jinlei Jiang, Teng Ma, Guangwen Yang, Cédric Westphal, J. J. Garcia-Luna-Aceves, Shu-Tao 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`	Clustering Effect of (Linearized) Adversarial Robust Models. CoRR Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang
2021	A*	`conf`	Clustering Effect of Adversarial Robust Models. NeurIPS Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang
2021	J	`jnl`	Construction of MDS Euclidean Self-Dual Codes via Two Subsets. IEEE Trans. Inf. Theory Weijun Fang, Shu-Tao Xia, Fang-Wei Fu
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	B	`conf`	D2Defend: Dual-Domain based Defense against Adversarial Examples. IJCNN Xin Yan, YanJie Li, Tao Dai, Yang Bai, Shu-Tao Xia
2021	Misc	`conf`	DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. ICASSP Yinghua Gao, Li Shen, Shu-Tao Xia
2021	J	`jnl`	Defending against Model Stealing via Verifying Embedded External Features. CoRR Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
2021	B	`conf`	EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. IJCNN Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu
2021	B	`conf`	GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning. GLOBECOM Xinyi Liu, Linghui Zhu, Shu-Tao Xia, Yong Jiang, Xue Yang
2021	Misc	`conf`	GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. ICASSP Xiang Liu, Naiqi Li, Shu-Tao Xia
2021	Misc	`conf`	H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
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`	Hidden Backdoor Attack against Semantic Segmentation Models. CoRR Yiming Li, YanJie Li, Yalei Lv, Yong Jiang, Shu-Tao Xia
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	A*	`conf`	Improving Adversarial Robustness via Channel-wise Activation Suppressing. ICLR Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
2021	J	`jnl`	Improving Adversarial Robustness via Channel-wise Activation Suppressing. CoRR Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
2021	J	`jnl`	Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? CoRR YanJie Li, Sen Yang, Shoukui Zhang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
2021	J	`jnl`	Learnable Hypergraph Laplacian for Hypergraph Learning. CoRR Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia
2021	J	`jnl`	Learnable Hypergraph Laplacian for Hypergraph Learning. CoRR Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao 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	B	`conf`	On Optimal Quaternary Locally Repairable Codes. ISIT Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Fang-Wei Fu, Yixian Yang
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	J	`jnl`	S2A: Scale-Attention-Aware Networks for Video Super-Resolution. Entropy Taian Guo, Tao Dai, Ling Liu, Zexuan Zhu, 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`	Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. ICLR Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
2021	J	`jnl`	Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. CoRR Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
2021	A*	`conf`	TokenPose: Learning Keypoint Tokens for Human Pose Estimation. ICCV YanJie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
2021	J	`jnl`	TokenPose: Learning Keypoint Tokens for Human Pose Estimation. CoRR YanJie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
2021	Misc	`conf`	Visual Privacy Protection via Mapping Distortion. ICASSP Yiming Li, Peidong Liu, Yong Jiang, Shu-Tao Xia
2021	A*	`conf`	WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations. ACM Multimedia Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shu-Tao Xia, Feng Zheng, Maowei Hu
2021	Misc	`conf`	Webly Supervised Deep Attentive Quantization. ICASSP Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
2021	Misc	`conf`	t-k-means: A ROBUST AND STABLE k-means VARIANT. ICASSP Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	A Note on Self-Dual Generalized Reed-Solomon Codes. CoRR Weijun Fang, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu
2020	A*	`conf`	Adversarial Attack on Deep Product Quantization Network for Image Retrieval. AAAI Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia
2020	B	`conf`	Adversarial Defense Via Local Flatness Regularization. ICIP Jia Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
2020	A*	`conf`	Adversarial Weight Perturbation Helps Robust Generalization. NeurIPS Dongxian Wu, Shu-Tao Xia, Yisen Wang
2020	J	`jnl`	Backdoor Attack against Speaker Verification. CoRR Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Backdoor Learning: A Survey. CoRR Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao 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	J	`jnl`	Construction of MDS Euclidean Self-Dual Codes via Two Subsets. CoRR Weijun Fang, Shu-Tao Xia, Fang-Wei Fu
2020	Misc	`conf`	Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. ICASSP Yuyuan Zeng, Tao Dai, Shu-Tao Xia
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`	DPAttack: Diffused Patch Attacks against Universal Object Detection. CoRR Shudeng Wu, Tao Dai, Shu-Tao Xia
2020	Misc	`conf`	Deep Flow Collaborative Network for Online Visual Tracking. ICASSP Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia
2020	B	`conf`	Enhanced Image Restoration Via Supervised Target Feature Transfer. ICIP Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia
2020	B	`conf`	Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. ICIP Zibin He, Tao Dai, Jian Lu, Yong Jiang, Shu-Tao Xia
2020	B	`conf`	Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia
2020	Misc	`conf`	Hijacking Tracker: A Powerful Adversarial Attack on Visual Tracking. ICASSP Xiyu Yan, Xuesong Chen, Yong Jiang, Shu-Tao Xia, Yong Zhao, Feng Zheng
2020	B	`conf`	Hrnet: Hamiltonian Rescaling Network for Image Downscaling. ICIP Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia
2020	Misc	`conf`	Improved Real-Time Visual Tracking via Adversarial Learning. ICASSP Haoxiang Zhong, Xiyu Yan, Yong Jiang, Shu-Tao Xia
2020	—	`conf`	Improving Query Efficiency of Black-Box Adversarial Attack. ECCV (25) Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo
2020	J	`jnl`	Improving Query Efficiency of Black-box Adversarial Attack. CoRR Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo
2020	J	`jnl`	JSRT: James-Stein Regression Tree. CoRR Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
2020	—	`conf`	Label Aggregation of Gradient Boosting Decision Trees. IPMV Xingchun Xiang, Huaixuan Zhang, Shu-Tao Xia
2020	A*	`conf`	Maintaining Discrimination and Fairness in Class Incremental Learning. CVPR Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia
2020	A	`conf`	Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels. ICME Xianbin Lv, Dongxian Wu, Shu-Tao Xia
2020	J	`jnl`	Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels. CoRR Xianbin Lv, Dongxian Wu, Shu-Tao Xia
2020	J	`jnl`	Mean-removed product quantization for large-scale image retrieval. Neurocomputing Jiacheng Yang, Bin Chen, Shu-Tao Xia
2020	B	`conf`	Multi-level Recognition on Falls from Activities of Daily Living. ICMR Jiawei Li, Shu-Tao Xia, Qianggang Ding
2020	C	`conf`	Multitask Deep Learning for Edge Intelligence Video Surveillance System. INDIN Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia
2020	A*	`conf`	One-Shot Adversarial Attacks on Visual Tracking With Dual Attention. CVPR Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji
2020	J	`jnl`	Open-sourced Dataset Protection via Backdoor Watermarking. CoRR Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Optimal Locally Repairable Codes for Parallel Reading. IEEE Access Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Deyin Li
2020	B	`conf`	Perfect LRCs and k-Optimal LRCs. ISIT Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu
2020	J	`jnl`	Practical and Bilateral Privacy-preserving Federated Learning. CoRR Yan Feng, Xue Yang, Weijun Fang, Shu-Tao Xia, Xiaohu Tang
2020	B	`conf`	Progressive Splitting and Upscaling Structure for Super-Resolution. ICPR Qiang Li, Tao Dai, Shu-Tao Xia
2020	J	`jnl`	Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning. CoRR Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
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	Misc	`conf`	Self-Adaptive Feature Fool. ICASSP Xinyi Liu, Yang Bai, Shu-Tao Xia, Yong Jiang
2020	A*	`conf`	Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. ICLR Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
2020	J	`jnl`	Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. CoRR Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
2020	A*	`conf`	Stochastic Deep Gaussian Processes over Graphs. NeurIPS Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation. Entropy Jiawei Li, Yiming Li, Xingchun Xiang, Shu-Tao Xia, Siyi Dong, Yun Cai
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`	Temporal Calibrated Regularization for Robust Noisy Label Learning. IJCNN Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia
2020	—	`conf`	Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. ECCV (2) Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
2020	J	`jnl`	Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters. CoRR Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
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
2020	J	`jnl`	Video scene parsing: An overview of deep learning methods and datasets. Comput. Vis. Image Underst. Xiyu Yan, Huihui Gong, Yong Jiang, Shu-Tao Xia, Feng Zheng, Xinge You, Ling Shao
2020	B	`conf`	Weight Distributions of q-ary Optimal Locally Repairable Codes with Locality 2, Distance 5 and Even Dimension. ISIT Jie Hao, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu, Yi-Xian Yang
2019	J	`jnl`	A probabilistic model for semantic advertising. Knowl. Inf. Syst. Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia, Cong-Zhi Zhao
2019	J	`jnl`	Adaptive Regularization of Labels. CoRR Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia
2019	J	`jnl`	Adversarial Defense Via Local Flatness Regularization. CoRR Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia
2019	A	`conf`	Attentiondrop for Convolutional Neural Networks. ICME Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia
2019	A*	`conf`	Automatic Grassland Degradation Estimation Using Deep Learning. IJCAI Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng
2019	B	`conf`	Classification of Optimal Ternary (r, δ)-Locally Repairable Codes Attaining the Singleton-like Bound. ISIT Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Yi-Xian Yang
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	J	`jnl`	Deep Flow Collaborative Network for Online Visual Tracking. CoRR Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia
2019	J	`jnl`	Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4. IEEE Trans. Signal Inf. Process. over Networks Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia
2019	—	`conf`	Image Super-Resolution via Residual Block Attention Networks. ICCV Workshops Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia
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	C	`conf`	Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. VCIP Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia
2019	—	`conf`	Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. ICDM Workshops Jiacheng Yang, Bin Chen, Shu-Tao Xia
2019	—	`conf`	Neural Style Transfer with Content Discrimination. ICME Workshops Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia
2019	J	`jnl`	Protective Performance of Different Passivators on Oil-Paper Insulation Containing Multiple Corrosive Sulphides. IEEE Access Haoxi Cong, Minhao Zhang, Shu-Tao Xia, Qingmin Li
2019	—	`conf`	RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. ICME Workshops Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, Shu-Tao Xia
2019	J	`jnl`	Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness. CoRR Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia
2019	A	`conf`	Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks. ICME Huaixuan Zhang, Yuhai Lan, Tao Dai, Ruizhi Qiao, Ying Xu, Yao Yao, Shu-Tao Xia
2019	A*	`conf`	Second-Order Attention Network for Single Image Super-Resolution. CVPR Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang
2019	—	`conf`	Self-attentive Pyramid Network for Single Image De-raining. ICONIP (1) Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia
2019	B	`conf`	Steward: smart edge based joint QoE optimization for adaptive video streaming. NOSSDAV Xiaoteng Ma, Qing Li, Jimeng Chai, Xi Xiao, Shu-Tao Xia, Yong Jiang
2019	J	`jnl`	UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble. Aust. J. Intell. Inf. Process. Syst. Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia
2019	J	`jnl`	Visual Privacy Protection via Mapping Distortion. CoRR Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia
2018	J	`jnl`	A Novel Consistent Random Forest Framework: Bernoulli Random Forests. IEEE Trans. Neural Networks Learn. Syst. Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu
2018	A*	`conf`	BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. NeurIPS Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu
2018	B	`conf`	Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes. ITW Bin Chen, Shu-Tao Xia
2018	J	`jnl`	Binary Matrices for Compressed Sensing. IEEE Trans. Signal Process. Weizhi Lu, Tao Dai, Shu-Tao Xia
2018	B	`conf`	CAFFE: Congestion-Aware Fast Failure Recovery in Software Defined Networks. ICCCN Zhijie Zhu, Qing Li, Shu-Tao Xia, Mingwei Xu
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	—	`conf`	Content-Aware Bilateral Filtering. BigMM Tao Dai, Yongbing Zhang, Li Dong, Lida Li, Xin-Ji Liu, Shu-Tao Xia
2018	B	`conf`	Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. ICIP Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia
2018	A*	`conf`	Dimensionality-Driven Learning with Noisy Labels. ICML Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018	J	`jnl`	Dimensionality-Driven Learning with Noisy Labels. CoRR Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018	—	`conf`	Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization. Rep4NLP@ACL Jilei Wang, Shiying Luo, Weiyan Shi, Tao Dai, Shu-Tao Xia
2018	A*	`conf`	Iterative Learning With Open-Set Noisy Labels. CVPR Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018	J	`jnl`	Iterative Learning with Open-set Noisy Labels. CoRR Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
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
2018	B	`conf`	On the Maximal Code Length of Optimal Linear Locally Repairable Codes. ISIT Jie Hao, Yi-Xian Yang, Kenneth W. Shum, Shu-Tao Xia
2018	J	`jnl`	On the Single-Parity Locally Repairable Codes with Multiple Repairable Groups. Inf. Yanbo Lu, Xinji Liu, Shu-Tao Xia
2018	B	`conf`	Portrait-Aware Artistic Style Transfer. ICIP Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia
2018	J	`jnl`	Referenceless quality metric of multiply-distorted images based on structural degradation. Neurocomputing Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2018	Misc	`conf`	Self -Paced Mixture of T Distribution Model. ICASSP Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia
2018	J	`jnl`	Special focus on distributed storage coding. Sci. China Inf. Sci. Xiaohu Tang, Shu-Tao Xia, Chao Tian, Qin Huang, Xiang-Gen Xia
2018	Misc	`conf`	Sure-Based Dual Domain Image Denoising. ICASSP Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia
2017	B	`conf`	A customized and cost-efficient backup scheme in software-defined networks. ICNP Zhijie Zhu, Qing Li, Mingwei Xu, Ziyan Song, Shu-Tao Xia
2017	J	`jnl`	A generic denoising framework via guided principal component analysis. J. Vis. Commun. Image Represent. Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia
2017	J	`jnl`	A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification. Knowl. Based Syst. Yisen Wang, Shu-Tao Xia, Jia Wu
2017	—	`conf`	Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex. NIPS Chao-Bing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia
2017	J	`jnl`	Back-propagation neural network on Markov chains from system call sequences: a new approach for detecting Android malware with system call sequences. IET Inf. Secur. Xi Xiao, Zhenlong Wang, Qing Li, Shu-Tao Xia, Yong Jiang
2017	B	`conf`	Blind quality assessment of multiply-distorted images based on structural degradation. ICIP Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia
2017	—	`conf`	Boost Clickbait Detection Based on User Behavior Analysis. APWeb/WAIM (2) Hai-Tao Zheng, Xin Yao, Yong Jiang, Shu-Tao Xia, Xi Xiao
2017	B	`conf`	Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. DCC Weizhi Lu, Tao Dai, Shu-Tao Xia
2017	J	`jnl`	Entropy-based bilateral filtering with a new range kernel. Signal Process. Tao Dai, Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia
2017	B	`conf`	Foveated nonlocal dual denoising. ICIP Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2017	J	`jnl`	Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior. Inf. Sci. Yisen Wang, Fangbing Liu, Shu-Tao Xia, Jia Wu
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 Single-Parity Locally Repairable Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Yanbo Lu, Jie Hao, Shu-Tao Xia
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
2017	J	`jnl`	Reconstruction Guarantee Analysis of Basis Pursuit for Binary Measurement Matrices in Compressed Sensing. IEEE Trans. Inf. Theory Xin-Ji Liu, Shu-Tao Xia, Fang-Wei Fu
2017	A*	`conf`	Robust Survey Aggregation with Student-t Distribution and Sparse Representation. IJCAI Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai
2017	J	`jnl`	Scale the Internet routing table by generalized next hops of strict partial order. Inf. Sci. Qing Li, Mingwei Xu, Qi Li, Dan Wang, Yong Jiang, Shu-Tao Xia, Qingmin Liao
2017	A*	`conf`	Student-t Process Regression with Student-t Likelihood. IJCAI Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia
2017	A*	`conf`	Unbiased Multivariate Correlation Analysis. AAAI Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia
2017	Misc	`conf`	Unifying attribute splitting criteria of decision trees by Tsallis entropy. ICASSP Yisen Wang, Shu-Tao Xia
2016	B	`conf`	A novel feature subspace selection method in random forests for high dimensional data. IJCNN Yisen Wang, Shu-Tao Xia
2016	J	`jnl`	Alternating direction algorithms for ℓ CoRR Chao-Bing Song, Shu-Tao Xia
2016	J	`jnl`	Bayesian linear regression with Student-t assumptions. CoRR Chao-Bing Song, Shu-Tao Xia
2016	A*	`conf`	Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness. IJCAI Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu
2016	J	`jnl`	Bounds and Constructions of Locally Repairable Codes: Parity-check Matrix Approach. CoRR Jie Hao, Shu-Tao Xia
2016	J	`jnl`	Constructions of Optimal Binary Locally Repairable Codes With Multiple Repair Groups. IEEE Commun. Lett. Jie Hao, Shu-Tao Xia
2016	J	`jnl`	Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes. CoRR Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu
2016	J	`jnl`	End-to-end coding for TCP. IEEE Netw. Yong Cui, Lian Wang, Xin Wang, Yisen Wang, Fengyuan Ren, Shu-Tao Xia
2016	B	`conf`	Improving decision trees by Tsallis Entropy Information Metric method. IJCNN Yisen Wang, Chao-Bing Song, Shu-Tao Xia
2016	C	`conf`	Learning Chinese-Japanese Bilingual Word Embedding by Using Common Characters. KSEM Jilei Wang, Shiying Luo, Yanning Li, Shu-Tao Xia
2016	J	`jnl`	Nonextensive information theoretical machine. CoRR Chao-Bing Song, Shu-Tao Xia
2016	C	`conf`	On the single-parity locally repairable codes with availability. ICCC Jie Hao, Shu-Tao Xia, Bin Chen
2016	—	`conf`	Query-Focused Multi-document Summarization Based on Concept Importance. PAKDD (2) Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia
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
2016	A	`conf`	Student-t Process Regression with Dependent Student-t Noise. ECAI Qingtao Tang, Yisen Wang, Shu-Tao Xia
2015	—	`conf`	A Novel \ell ^1 ℓ 1 -graph Based Image Classification Algorithm. ICONIP (1) Jia-Yue Xu, Shu-Tao Xia
2015	—	`conf`	Analysis of Repair Cost in Distributed Storage Systems with Fault-Tolerant Coding Strategies. ICA3PP (4) Yanbo Lu, Jie Hao, Xin-Ji Liu, Shu-Tao Xia
2015	C	`conf`	Construction of structured low density lattice codes based on finite fields. ISCC Jia-Yun Li, Shu-Tao Xia, Xin-Ji Liu
2015	J	`jnl`	Deterministic Constructions of Binary Measurement Matrices From Finite Geometry. IEEE Trans. Signal Process. Shu-Tao Xia, Xin-Ji Liu, Yong Jiang, Hai-Tao Zheng
2015	Misc	`conf`	Deterministic constructions of binary measurement matrices with various sizes. ICASSP Xin-Ji Liu, Shu-Tao Xia, Tao Dai
2015	J	`jnl`	Improving Decision Trees Using Tsallis Entropy. CoRR Yisen Wang, Chao-Bing Song, Shu-Tao Xia
2015	—	`conf`	Link Prediction in Aligned Heterogeneous Networks. PAKDD (1) Fangbing Liu, Shu-Tao Xia
2015	—	`conf`	Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems. ICONIP (3) Bo Pan, Shu-Tao Xia
2015	—	`conf`	Network coding for data-retrieving in cloud storage systems. NetCod Yanbo Lu, Jie Hao, Xin-Ji Liu, Shu-Tao Xia
2015	B	`conf`	PMPA: A patch-based multiscale products algorithm for image denoising. ICIP Tao Dai, Chao-Bing Song, Jiping Zhang, Shu-Tao Xia
2015	C	`conf`	RAPIT: RTT-Aware Pending Interest Table for Content Centric Networking. IPCCC Yalei Tan, Qing Li, Yong Jiang, Shu-Tao Xia
2015	J	`jnl`	SARD: A Smart Approach of Rule Division for fast flow-level consistent update in SDN. Comput. Networks Qing Li, Kun Zhao, Yong Jiang, Mingwei Xu, Shu-Tao Xia
2015	—	`conf`	Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions. ICONIP (3) Jiping Zhang, Tao Dai, Shu-Tao Xia
2015	B	`conf`	Subspace thresholding pursuit: A reconstruction algorithm for compressed sensing. ISIT Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu
2015	B	`conf`	Toward Latency-Aware Dynamic Middlebox Scheduling. ICCCN Pengfei Duan, Qing Li, Yong Jiang, Shu-Tao Xia
2014	—	`conf`	An Ontology-Based Approach to Query Suggestion Diversification. ICONIP (2) Hai-Tao Zheng, Jie Zhao, Yichi Zhang, Yong Jiang, Shu-Tao Xia
2014	C	`conf`	An analysis of scheduling mechanism in wireless network coding. LANMAN Jun Zhang, Shu-Tao Xia, Ning Gu, Jin-Yi Zhou
2014	C	`conf`	Capacity Region of Wireless Network Coding. NPC Jun Zhang, Shu-Tao Xia
2014	J	`jnl`	Deterministic Construction of Binary Measurement Matrices with Flexible Sizes. CoRR Xin-Ji Liu, Shu-Tao Xia
2014	—	`conf`	Deterministic complex-valued measurement matrices based on Berlekamp-Justesen codes. ChinaSIP Lu Liu, Xin-Ji Liu, Shu-Tao Xia
2014	—	`conf`	Exploiting Level-Wise Category Links for Semantic Relatedness Computing. ICONIP (2) Hai-Tao Zheng, Wenzhen Wu, Yong Jiang, Shu-Tao Xia
2014	J	`jnl`	Improved Analysis for Subspace Pursuit Algorithm in Terms of Restricted Isometry Constant. IEEE Signal Process. Lett. Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu
2014	—	`conf`	Multi-document Summarization Based on Sentence Clustering. ICONIP (2) Hai-Tao Zheng, Shu-Qin Gong, Hao Chen, Yong Jiang, Shu-Tao Xia
2014	J	`jnl`	Nonlocal Pixel Selection for Multisurface Fitting-Based Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. Fei Zhou, Shu-Tao Xia, Qingmin Liao
2013	B	`conf`	A constant approximation for multicast scheduling under physical interference model. WCNC Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng
2013	C	`conf`	A traffic localization strategy for peer-to-peer live streaming. ISCC Chao Dai, Yong Jiang, Shu-Tao Xia, Hai-Tao Zheng, Laizhong Cui
2013	C	`conf`	An optimal segment replication strategy in P2P-VoD systems. ISCC Hongke Hu, Yong Jiang, Laizhong Cui, Shu-Tao Xia, Hai-Tao Zheng
2013	B	`conf`	Constructions of quasi-cyclic measurement matrices based on array codes. ISIT Xin-Ji Liu, Shu-Tao Xia
2013	—	`conf`	Exploiting Multiple Features for Learning to Rank in Expert Finding. ADMA (2) Hai-Tao Zheng, Qi Li, Yong Jiang, Shu-Tao Xia, Lanshan Zhang
2013	J	`jnl`	Improved Analyses for SP and CoSaMP Algorithms in Terms of Restricted Isometry Constants. CoRR Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu
2013	B	`conf`	Incorrigible set distributions and unsuccessful decoding probability of linear codes. ISIT Yong Jiang, Shu-Tao Xia, Xin-Ji Liu, Fang-Wei Fu
2013	J	`jnl`	Maximum Multiflow in Wireless Network Coding. IEICE Trans. Commun. Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng, Laizhong Cui
2013	J	`jnl`	New bounds Under Restricted Isometry for the exact k-sparse recovery via ℓ CoRR Chao-Bing Song, Shu-Tao Xia
2013	J	`jnl`	Reconstruction Guarantee Analysis of Binary Measurement Matrices Based on Girth CoRR Xin-Ji Liu, Shu-Tao Xia
2013	B	`conf`	Reconstruction guarantee analysis of binary measurement matrices based on girth. ISIT Xin-Ji Liu, Shu-Tao Xia
2013	J	`jnl`	Sparks and Deterministic Constructions of Binary Measurement Matrices from Finite Geometry CoRR Shu-Tao Xia, Xin-Ji Liu, Yong Jiang, Hai-Tao Zheng
2013	J	`jnl`	Subspace Thresholding Pursuit: A Reconstruction Algorithm for Compressed Sensing. CoRR Chao-Bing Song, Shu-Tao Xia
2012	—	`conf`	A Two-Step Non-redundant Subspace Clustering Approach. CSWS Hai-Tao Zheng, Hao Chen, Yong Jiang, Shu-Tao Xia, Hui-Qiu Li
2012	J	`jnl`	An Optimal Pull-Push Scheduling Algorithm Based on Network Coding for Mesh Peer-to-Peer Live Streaming. IEICE Trans. Commun. Laizhong Cui, Yong Jiang, Jianping Wu, Shu-Tao Xia
2012	—	`conf`	Exploiting Ontologies to Rank Relationships Between Patents. CSWS Hai-Tao Zheng, Nan Ma, Yong Jiang, Shu-Tao Xia, Hui-Qiu Li
2012	—	`conf`	Keyword Proximity Search over Large and Complex RDF Database. Web Intelligence Zhen Niu, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia, Hui-Qiu Li
2012	J	`jnl`	Maximum Multiflow in Wireless Network Coding CoRR Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng
2012	—	`conf`	Search Results Diversification Based on Swap Minimal Marginal Contribution. CSWS Hai-Tao Zheng, Shao-Zhou Bai, Shu-Tao Xia, Yong Jiang, Hui-Qiu Li
2011	—	`conf`	A Lightweight Ontology Learning Method for Chinese Government Documents. ICONIP (2) Xing Zhao, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia
2011	—	`conf`	An Adaptive Approach to Chinese Semantic Advertising. ICONIP (2) Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia
2011	—	`conf`	PatentRank: An Ontology-based Approach to Patent Search. ICONIP (2) Ming Li, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia
2011	J	`jnl`	Stopping Set Distributions of Some Reed-Muller Codes. IEEE Trans. Inf. Theory Yong Jiang, Shu-Tao Xia, Fang-Wei Fu
2010	—	`conf`	A quantization schema with negligible degradation for LDPC decoder. WCNIS Ming-Qiu Wang, Shu-Tao Xia, He-Guang Su, Laizhong Cui
2010	—	`conf`	An effective puncturing scheme for rate-compatible LDPC codes. WCSP He-Guang Su, Ming-Qiu Wang, Shu-Tao Xia
2010	J	`jnl`	Stopping Set Distributions of Some Linear Codes CoRR Yong Jiang, Shu-Tao Xia, Fang-Wei Fu
2009	J	`jnl`	Johnson type bounds on constant dimension codes. Des. Codes Cryptogr. Shu-Tao Xia, Fang-Wei Fu
2008	J	`jnl`	Minimum Pseudoweight and Minimum Pseudocodewords of LDPC Codes. IEEE Trans. Inf. Theory Shu-Tao Xia, Fang-Wei Fu
2008	J	`jnl`	On the minimum average distance of binary constant weight codes. Discret. Math. Shu-Tao Xia, Fang-Wei Fu, Yong Jiang
2008	J	`jnl`	Undetected error probability of Des. Codes Cryptogr. Shu-Tao Xia, Fang-Wei Fu
2007	J	`jnl`	Johnson Type Bounds on Constant Dimension Codes CoRR Shu-Tao Xia, Fang-Wei Fu
2007	J	`jnl`	The characterization of binary constant weight codes meeting the bound of Fu and Shen. Des. Codes Cryptogr. Fang-Wei Fu, Shu-Tao Xia
2006	B	`conf`	A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes. ISIT Shu-Tao Xia, Fang-Wei Fu, San Ling
2006	J	`jnl`	A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes. IEEE Trans. Inf. Theory Shu-Tao Xia, Fang-Wei Fu, San Ling
2006	J	`jnl`	A Note on the Stopping Redundancy of Linear Codes. J. Comput. Sci. Technol. Shu-Tao Xia
2006	J	`jnl`	Minimum Pseudo-Weight and Minimum Pseudo-Codewords of LDPC Codes CoRR Shu-Tao Xia, Fang-Wei Fu
2006	J	`jnl`	On the minimum pseudo-codewords of LDPC codes. IEEE Commun. Lett. Shu-Tao Xia, Fang-Wei Fu
2006	J	`jnl`	On the stopping distance of finite geometry LDPC codes. IEEE Commun. Lett. Shu-Tao Xia, Fang-Wei Fu
2005	J	`jnl`	The Probability of Undetected Error for Binary Constant-Weight Codes. IEEE Trans. Inf. Theory Shu-Tao Xia, Fang-Wei Fu, Yong Jiang, San Ling
2000	J	`jnl`	The undetected error probability threshold of m-out-of-n codes. IEEE Trans. Inf. Theory Fang-Wei Fu, Torleiv Kløve, Shu-Tao Xia
1998	J	`jnl`	Binary Constant-Weight Codes for Error Detection. IEEE Trans. Inf. Theory Fang-Wei Fu, Shu-Tao Xia