| 2026 | AAAI | Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation. | Yuxuan Chou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, Shu-Tao Xia |
| 2026 | AAAI | Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning. | Haomiao Tang, Jinpeng Wang, Minyi Zhao, Guanghao Meng, Ruisheng Luo, Long Chen, Shu-Tao Xia |
| 2026 | AAAI | CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection. | Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia |
| 2026 | ACL | Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models. | Hao Fang, Xiaohang Sui, Hongyao Yu, Kuofeng Gao, Jiawei Kong, Sijin Yu, Bin Chen, Shu-Tao Xia |
| 2026 | ACL | From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents. | Niu Lian, Yuting Wang, Hanshu Yao, Jinpeng Wang, Bin Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia |
| 2026 | ACL | When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models. | Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, Wenxi Jiang, Hao Fang, Hao Wu, Bin Chen, Shu-Tao Xia |
| 2026 | ACL | C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts. | Chenxi Qing, Junxi Wu, Zheng Liu, Yixiang Qiu, Hongyao Yu, Bin Chen, Hao Wu, Shu-Tao Xia |
| 2026 | ACL | Infinite Babble: Inflating 3D Vision-Language Model Inference Overhead via Adversarial Geometric Perturbation. | Shuoyang Sun, Jiaxin Hong, Yv Zhang, Kuofeng Gao, Hao Fang, Fan Mo, Bin Chen, Shu-Tao Xia |
| 2026 | ISIT | Array Codes with Local Properties and Their Application to Shamir Secret Sharing Scheme. | Xian Lian, Jingjie Lv, Hongwei Zhu, Shu-Tao Xia, Hanxu Hou |
| 2026 | ISIT | New MDS Array Codes Constructed by Puncturing Pseudo-circulant Matrices. | Jingjie Lv, Xian Lian, Hongwei Zhu, Shu-Tao Xia, Hanxu Hou |
| 2026 | ISIT | Improved Constructions of Reed-Solomon Codes with Optimal Repair Bandwidth. | Jing Qiu, Weijun Fang, Shu-Tao Xia, Fang-Wei Fu |
| 2026 | ISIT | A New Compartmented Secret Sharing Scheme Based on The CRT for Polynomial Rings. | Jing Yang, Hongwei Zhu, Fang-Wei Fu, Shu-Tao Xia |
| 2026 | ISIT | A New Hierarchical Secret Sharing Scheme Based on The CRT for Polynomial Rings | Jing Yang, Hongwei Zhu, Fang-Wei Fu, Shu-Tao Xia |
| 2026 | ISIT | Generalization Bounds for Transformer Channel Decoders. | Qinshan Zhang, Bin Chen, Yong Jiang, Shu-Tao Xia |
| 2026 | KDD | Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering. | Hongyao Yu, Yixiang Qiu, Hao Fang, Tianqu Zhuang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu |
| 2026 | WWW | Vertical Semi-Federated Learning for Efficient Online Advertising. | Wenjie Li, Shu-Tao Xia, Jiangke Fan, Teng Zhang, Xingxing Wang |
| 2026 | WWW | MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts. | Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen, Shu-Tao Xia |
| 2026 | SIGIR | FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction. | Zenan Dai, Jinpeng Wang, Junwei Pan, Dapeng Liu, Lei Xiao, Shu-Tao Xia |
| 2025 | AAAI | GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. | Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu |
| 2025 | AAAI | Efficient Self-Supervised Video Hashing with Selective State Spaces. | Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia |
| 2025 | AAAI | CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. | Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia |
| 2025 | AAAI | Pre-Trained Vision-Language Models as Noisy Partial Annotators. | Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia |
| 2025 | AAAI | Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. | Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia |
| 2025 | CVPR | Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning. | Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia |
| 2025 | CVPR | MambaIRv2: Attentive State Space Restoration. | Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li |
| 2025 | CVPR | AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing. | Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen |
| 2025 | CVPR | Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations. | Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia |
| 2025 | CVPR | Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception. | Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia |
| 2025 | CVPR | PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. | Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia |
| 2025 | CVPR | Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation. | Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia |
| 2025 | EMNLP | Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors. | Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang |
| 2025 | EMNLP | MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds. | Junxi Wu, Jinpeng Wang, Zheng Liu, Bin Chen, Dongjian Hu, Hao Wu, Shu-Tao Xia |
| 2025 | ICASSP | LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec. | Jiahong Chen, Xiang Liu, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2025 | ICASSP | RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense. | Shuoyang Sun, Kaiwen Zhang, Hao Fang, Bin Chen, Jiawei Li, Enze Huo, Shu-Tao Xia |
| 2025 | ICCV | One Perturbation is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models. | Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Hao Wu, Shu-Tao Xia, Ke Xu |
| 2025 | ICCV | FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning. | Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini |
| 2025 | ICCV | Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning. | Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen |
| 2025 | ICCV | Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression. | Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shu-Tao Xia, Yaowei Wang |
| 2025 | ICIP | Anti-FT: Towards Practical Deep Leakage From Gradients. | Linghui Zhu, Yiming Li, Haiqin Weng, Yan Liu, Shu-Tao Xia, Zhi Wang |
| 2025 | ICLR | An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression. | Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia |
| 2025 | ICLR | DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation. | Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia |
| 2025 | ICLR | Error-quantified Conformal Inference for Time Series. | Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou |
| 2025 | ICLR | Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information. | Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang |
| 2025 | ICLR | Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks. | Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia |
| 2025 | ICML | IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. | Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini |
| 2025 | ICML | 3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors. | Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2025 | ICML | TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. | Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan |
| 2025 | ICML | TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. | Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia |
| 2025 | IJCAI | Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning. | Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia |
| 2025 | ICRA | Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning. | Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia |
| 2025 | KDD | ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences. | Xingyu Lu, Jinpeng Wang, Jieming Zhu, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng, Shu-Tao Xia, Rui Zhang |
| 2025 | WWW | MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. | YuJun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | AAAI | GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. | Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia |
| 2024 | AAAI | Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. | Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia |
| 2024 | AAAI | Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. | Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2024 | AAAI | Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. | Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia |
| 2024 | CVPR | BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. | Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu |
| 2024 | CVPR | Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers. | Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia |
| 2024 | ECCV | CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. | Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia |
| 2024 | ECCV | MambaIR: A Simple Baseline for Image Restoration with State-Space Model. | Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia |
| 2024 | ECCV | A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. | Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Mei Kang Qiu, Shu-Tao Xia |
| 2024 | ECCV | Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. | Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia |
| 2024 | ICASSP | CAGEN: Controllable Anomaly Generator using Diffusion Model. | Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia |
| 2024 | ICASSP | WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. | Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | ICASSP | WaterDiff: Perceptual Image Watermarks Via Diffusion Model. | Yuqi Tan, Yuang Peng, Hao Fang, Bin Chen, Shu-Tao Xia |
| 2024 | ICIP | Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. | Shiyu Qin, Yi-Min Zhou, Jin-Peng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2024 | ICLR | Periodicity Decoupling Framework for Long-term Series Forecasting. | Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | ICLR | Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. | Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu |
| 2024 | ICLR | Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. | Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia |
| 2024 | IJCAI | Invertible Residual Rescaling Models. | Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang |
| 2024 | IJCAI | Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. | Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo |
| 2024 | IJCAI | GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. | Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia |
| 2024 | ISIT | An Explicit Construction of $q\text{-ary}$ MDS Array Codes and Their Efficient Decoding. | Jingjie Lv, Weijun Fang, Shu-Tao Xia, Hanxu Hou |
| 2024 | ISIT | A New Multi-Receiver Authentication Scheme for General Access Structure. | Jing Yang, Shu-Tao Xia, Xianfang Wang, Can Xiang, Fang-Wei Fu |
| 2024 | ISIT | A Perfect Ideal Hierarchical Secret Sharing Scheme Based on the CRT for Polynomial Rings. | Jing Yang, Shu-Tao Xia, Xianfang Wang, Jiangtao Yuan, Fang-Wei Fu |
| 2024 | ISIT | Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes. | Qinshan Zhang, Bin Chen, Tianqu Zhuang, Yong Jiang, Shu-Tao Xia |
| 2024 | VTC | Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. | Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia |
| 2024 | WWW | RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. | Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia |
| 2023 | AAAI | Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. | Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia |
| 2023 | AAAI | Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. | Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia |
| 2023 | AAAI | FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. | Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2023 | AAAI | Contrastive Masked Autoencoders for Self-Supervised Video Hashing. | Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia |
| 2023 | BMVC | Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. | Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia |
| 2023 | CIKM | Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction. | Chen-Hui Song, Xi Xiao, Bin Zhang, Shu-Tao Xia |
| 2023 | CVPR | Backdoor Defense via Adaptively Splitting Poisoned Dataset. | Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia |
| 2023 | CVPR | Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. | Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge |
| 2023 | ICASSP | Untargeted Backdoor Attack Against Object Detection. | Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia |
| 2023 | ICASSP | Difficulty-Aware Data Augmentor for Scene Text Recognition. | Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia |
| 2023 | ICASSP | Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. | Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia |
| 2023 | ICASSP | BATT: Backdoor Attack with Transformation-Based Triggers. | Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia |
| 2023 | ICASSP | Backdoor Defense via Suppressing Model Shortcuts. | Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia |
| 2023 | ICASSP | SFR: Semantic-Aware Feature Rendering of Point Cloud. | Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia |
| 2023 | ICCV | One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. | Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia |
| 2023 | ICCV | GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. | Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia |
| 2023 | ICCV | Towards Robust Model Watermark via Reducing Parametric Vulnerability. | Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia |
| 2023 | ICCV | Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. | Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia |
| 2023 | ICCV | Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. | Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2023 | ICIP | LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. | Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia |
| 2023 | ICIP | Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. | Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang |
| 2023 | ICLR | Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. | Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia |
| 2023 | ICLR | Delta: Degradation-Free Fully Test-Time Adaptation. | Bowen Zhao, Chen Chen, Shu-Tao Xia |
| 2023 | IJCAI | Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. | Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia |
| 2023 | IJCNN | DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. | Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia |
| 2023 | ISIT | Binary MDS Array Codes with Flexible Array Dimensions and Their Fast Encoding. | Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen |
| 2022 | AAAI | Defending against Model Stealing via Verifying Embedded External Features. | Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao |
| 2022 | AAAI | Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. | Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2022 | BMVC | Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment. | Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia |
| 2022 | BMVC | Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval. | Ziyun Zeng, Jinpeng Wang, Bin Chen, Yuting Wang, Shu-Tao Xia |
| 2022 | CIKM | LCD: Adaptive Label Correction for Denoising Music Recommendation. | Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang |
| 2022 | CVPR | Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. | Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia |
| 2022 | DAC | Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system. | Yujun Huang, Bin Chen, Jianghui Zhang, Han Qiu, Shu-Tao Xia |
| 2022 | ECCV | Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips. | Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu |
| 2022 | ECCV | Improving Vision Transformers by Revisiting High-Frequency Components. | Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu |
| 2022 | ECCV | SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation. | Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia |
| 2022 | ECCV | NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer. | Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia |
| 2022 | ICASSP | Self-Ensemble Variance Regularization for Domain Adaptation. | Xinyi Liu, Tao Dai, Shu-Tao Xia, Yong Jiang |
| 2022 | ICASSP | Learnable Hypergraph Laplacian for Hypergraph Learning. | Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia |
| 2022 | ICIP | Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. | Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia |
| 2022 | ICLR | Few-Shot Backdoor Attacks on Visual Object Tracking. | Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia |
| 2022 | IJCNN | PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection. | Hongjia Li, Lingyu Yang, Lei Li, Chengyin Xu, Shu-Tao Xia, Chun Yuan |
| 2022 | IJCNN | Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. | Jifeng Sun, Wentao Fu, Jianwu Lin, Yong Jiang, Shu-Tao Xia |
| 2022 | IJCNN | ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts. | Lingyu Yang, Hongjia Li, Lei Li, Chun Yuan, Shu-Tao Xia |
| 2022 | ISIT | New constructions of binary MDS array codes and locally repairable array codes. | Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen |
| 2022 | WWW | An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. | Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu |
| 2022 | WWW | Multi-task Ranking with User Behaviors for Text-video Search. | Peidong Liu, Dongliang Liao, Jinpeng Wang, Yangxin Wu, Gongfu Li, Shu-Tao Xia, Jin Xu |
| 2022 | WWW | Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. | Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu |
| 2022 | UAI | Deep Dirichlet process mixture models. | Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia |
| 2021 | BMVC | SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network. | Di Lu, Jinpeng Wang, Ziyun Zeng, Bin Chen, Shudeng Wu, Shu-Tao Xia |
| 2021 | GLOBECOM | GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning. | Xinyi Liu, Linghui Zhu, Shu-Tao Xia, Yong Jiang, Xue Yang |
| 2021 | ICASSP | DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. | Yinghua Gao, Li Shen, Shu-Tao Xia |
| 2021 | ICASSP | H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. | Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | Visual Privacy Protection via Mapping Distortion. | Yiming Li, Peidong Liu, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. | Xiang Liu, Naiqi Li, Shu-Tao Xia |
| 2021 | ICASSP | t-k-means: A ROBUST AND STABLE k-means VARIANT. | Yiming Li, Yang Zhang, Qingtao Tang, Weipeng Huang, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | HOCA: Higher-Order Channel Attention for Single Image Super-Resolution. | Yalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao |
| 2021 | ICASSP | Webly Supervised Deep Attentive Quantization. | Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2021 | ICASSP | Class Aware Robust Training. | Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2021 | ICASSP | Backdoor Attack Against Speaker Verification. | Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | Bishift-Net for Image Inpainting. | Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing. | Tianlei Zhu, Jiawei Li, Xinji Liu, Yong Jiang, Shu-Tao Xia |
| 2021 | ICCV | TokenPose: Learning Keypoint Tokens for Human Pose Estimation. | Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou |
| 2021 | ICLR | Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. | Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia |
| 2021 | ICLR | Improving Adversarial Robustness via Channel-wise Activation Suppressing. | Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang |
| 2021 | IJCNN | Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models. | Xiao Wei, Yao Zhu, Shu-Tao Xia |
| 2021 | IJCNN | D2Defend: Dual-Domain based Defense against Adversarial Examples. | Xin Yan, Yanjie Li, Tao Dai, Yang Bai, Shu-Tao Xia |
| 2021 | IJCNN | EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. | Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu |
| 2021 | ICWS | CUBIST: High-Quality 360-Degree Video Streaming Services via Tile-based Edge Caching and FoV-Adaptive Prefetching. | Dongbiao He, Jinlei Jiang, Teng Ma, Guangwen Yang, Cdric Westphal, J. J. Garcia-Luna-Aceves, Shu-Tao Xia |
| 2021 | ISIT | Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes. | Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu |
| 2021 | ISIT | On Optimal Quaternary Locally Repairable Codes. | Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Fang-Wei Fu, Yixian Yang |
| 2020 | AAAI | Adversarial Attack on Deep Product Quantization Network for Image Retrieval. | Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2020 | CVPR | One-Shot Adversarial Attacks on Visual Tracking With Dual Attention. | Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji |
| 2020 | CVPR | Maintaining Discrimination and Fairness in Class Incremental Learning. | Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia |
| 2020 | ECCV | Targeted Attack for Deep Hashing Based Retrieval. | Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang |
| 2020 | ECCV | Improving Query Efficiency of Black-Box Adversarial Attack. | Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo |
| 2020 | ECCV | Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. | Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang |
| 2020 | ICASSP | Self-Adaptive Feature Fool. | Xinyi Liu, Yang Bai, Shu-Tao Xia, Yong Jiang |
| 2020 | ICASSP | Deep Flow Collaborative Network for Online Visual Tracking. | Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia |
| 2020 | ICASSP | Hijacking Tracker: A Powerful Adversarial Attack on Visual Tracking. | Xiyu Yan, Xuesong Chen, Yong Jiang, Shu-Tao Xia, Yong Zhao, Feng Zheng |
| 2020 | ICASSP | Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. | Yuyuan Zeng, Tao Dai, Shu-Tao Xia |
| 2020 | ICASSP | Improved Real-Time Visual Tracking via Adversarial Learning. | Haoxiang Zhong, Xiyu Yan, Yong Jiang, Shu-Tao Xia |
| 2020 | ICIP | Enhanced Image Restoration Via Supervised Target Feature Transfer. | Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia |
| 2020 | ICIP | Hrnet: Hamiltonian Rescaling Network for Image Downscaling. | Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia |
| 2020 | ICIP | Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. | Zibin He, Tao Dai, Jian Lu, Yong Jiang, Shu-Tao Xia |
| 2020 | ICIP | Adversarial Defense Via Local Flatness Regularization. | Jia Xu, Yiming Li, Yong Jiang, Shu-Tao Xia |
| 2020 | ICLR | Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. | Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma |
| 2020 | ICPR | Progressive Splitting and Upscaling Structure for Super-Resolution. | Qiang Li, Tao Dai, Shu-Tao Xia |
| 2020 | ICPR | Sample-aware Data Augmentor for Scene Text Recognition. | Guanghao Meng, Tao Dai, Shudeng Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia |
| 2020 | IJCNN | Generalized Local Aggregation for Large Scale Gaussian Process Regression. | Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia |
| 2020 | ICPR | Transferable Adversarial Attacks for Deep Scene Text Detection. | Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia |
| 2020 | IJCNN | Temporal Calibrated Regularization for Robust Noisy Label Learning. | Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia |
| 2020 | INDIN | Multitask Deep Learning for Edge Intelligence Video Surveillance System. | Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia |
| 2020 | ISIT | Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions. | Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu |
| 2020 | ISIT | Perfect LRCs and k-Optimal LRCs. | Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu |
| 2020 | ISIT | Weight Distributions of q-ary Optimal Locally Repairable Codes with Locality 2, Distance 5 and Even Dimension. | Jie Hao, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu, Yi-Xian Yang |
| 2019 | CVPR | Second-Order Attention Network for Single Image Super-Resolution. | Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang |
| 2019 | ICDM | Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. | Jiacheng Yang, Bin Chen, Shu-Tao Xia |
| 2019 | ICONIP | Self-attentive Pyramid Network for Single Image De-raining. | Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia |
| 2019 | IJCAI | Automatic Grassland Degradation Estimation Using Deep Learning. | Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng |
| 2019 | ISIT | Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6. | Bin Chen, Shu-Tao Xia, Jie Hao |
| 2019 | ISIT | Classification of Optimal Ternary (r, δ)-Locally Repairable Codes Attaining the Singleton-like Bound. | Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Yi-Xian Yang |
| 2019 | NOSSDAV | Steward: smart edge based joint QoE optimization for adaptive video streaming. | Xiaoteng Ma, Qing Li, Jimeng Chai, Xi Xiao, Shu-Tao Xia, Yong Jiang |
| 2019 | VCIP | Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. | Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia |
| 2018 | CVPR | Iterative Learning With Open-Set Noisy Labels. | Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia |
| 2018 | ICASSP | Sure-Based Dual Domain Image Denoising. | Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia |
| 2018 | ICASSP | Self -Paced Mixture of T Distribution Model. | Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia |
| 2018 | ICCCN | CAFFE: Congestion-Aware Fast Failure Recovery in Software Defined Networks. | Zhijie Zhu, Qing Li, Shu-Tao Xia, Mingwei Xu |
| 2018 | ICIP | Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. | Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia |
| 2018 | ICIP | Portrait-Aware Artistic Style Transfer. | Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia |
| 2018 | ICML | Dimensionality-Driven Learning with Noisy Labels. | Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey |
| 2018 | ISIT | On Optimal Pseudo-cyclic ($r, \delta$) Locally Repairable Codes. | Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu |
| 2018 | ISIT | On the Maximal Code Length of Optimal Linear Locally Repairable Codes. | Jie Hao, Yi-Xian Yang, Kenneth W. Shum, Shu-Tao Xia |
| 2018 | ITW | Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes. | Bin Chen, Shu-Tao Xia |
| 2018 | ITW | On Optimal (r, δ)-LRCs with Length n | (q+1). | Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia |
| 2017 | AAAI | Unbiased Multivariate Correlation Analysis. | Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia |
| 2017 | APWEB | Boost Clickbait Detection Based on User Behavior Analysis. | Hai-Tao Zheng, Xin Yao, Yong Jiang, Shu-Tao Xia, Xi Xiao |
| 2017 | DCC | Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. | Weizhi Lu, Tao Dai, Shu-Tao Xia |
| 2017 | ICASSP | Unifying attribute splitting criteria of decision trees by Tsallis entropy. | Yisen Wang, Shu-Tao Xia |
| 2017 | ICIP | Foveated nonlocal dual denoising. | Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia |
| 2017 | ICIP | Blind quality assessment of multiply-distorted images based on structural degradation. | Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia |
| 2017 | ICNP | A customized and cost-efficient backup scheme in software-defined networks. | Zhijie Zhu, Qing Li, Mingwei Xu, Ziyan Song, Shu-Tao Xia |
| 2017 | IJCAI | Robust Survey Aggregation with Student-t Distribution and Sparse Representation. | Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai |
| 2017 | IJCAI | Student-t Process Regression with Student-t Likelihood. | Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia |
| 2017 | ISIT | Locally repairable codes with multiple (ri, δi)-localities. | Bin Chen, Shu-Tao Xia, Jie Hao |
| 2017 | ISIT | On optimal ternary locally repairable codes. | Jie Hao, Shu-Tao Xia, Bin Chen |
| 2017 | ITW | On the weight hierarchy of locally repairable codes. | Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu |
| 2016 | ECAI | Student-t Process Regression with Dependent Student-t Noise. | Qingtao Tang, Yisen Wang, Shu-Tao Xia |
| 2016 | IJCAI | Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness. | Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu |
| 2016 | IJCNN | Improving decision trees by Tsallis Entropy Information Metric method. | Yisen Wang, Chao-Bing Song, Shu-Tao Xia |
| 2016 | IJCNN | A novel feature subspace selection method in random forests for high dimensional data. | Yisen Wang, Shu-Tao Xia |
| 2016 | ISIT | Some results on optimal locally repairable codes. | Jie Hao, Shu-Tao Xia, Bin Chen |
| 2016 | ISIT | Recursive bounds for locally repairable codes with multiple repair groups. | Jie Hao, Shu-Tao Xia, Bin Chen |
| 2016 | KSEM | Learning Chinese-Japanese Bilingual Word Embedding by Using Common Characters. | Jilei Wang, Shiying Luo, Yanning Li, Shu-Tao Xia |
| 2016 | PAKDD | Query-Focused Multi-document Summarization Based on Concept Importance. | Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia |
| 2015 | ICA3PP | Analysis of Repair Cost in Distributed Storage Systems with Fault-Tolerant Coding Strategies. | Yanbo Lu, Jie Hao, Xin-Ji Liu, Shu-Tao Xia |
| 2015 | ICASSP | Deterministic constructions of binary measurement matrices with various sizes. | Xin-Ji Liu, Shu-Tao Xia, Tao Dai |
| 2015 | ICCCN | Toward Latency-Aware Dynamic Middlebox Scheduling. | Pengfei Duan, Qing Li, Yong Jiang, Shu-Tao Xia |
| 2015 | ICIP | PMPA: A patch-based multiscale products algorithm for image denoising. | Tao Dai, Chao-Bing Song, Jiping Zhang, Shu-Tao Xia |
| 2015 | ICONIP | Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems. | Bo Pan, Shu-Tao Xia |
| 2015 | ICONIP | A Novel \ell ^1 ℓ 1 -graph Based Image Classification Algorithm. | Jia-Yue Xu, Shu-Tao Xia |
| 2015 | ICONIP | Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions. | Jiping Zhang, Tao Dai, Shu-Tao Xia |
| 2015 | IPCCC | RAPIT: RTT-Aware Pending Interest Table for Content Centric Networking. | Yalei Tan, Qing Li, Yong Jiang, Shu-Tao Xia |
| 2015 | ISCC | Construction of structured low density lattice codes based on finite fields. | Jia-Yun Li, Shu-Tao Xia, Xin-Ji Liu |
| 2015 | ISIT | Subspace thresholding pursuit: A reconstruction algorithm for compressed sensing. | Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu |
| 2015 | PAKDD | Link Prediction in Aligned Heterogeneous Networks. | Fangbing Liu, Shu-Tao Xia |
| 2014 | ICONIP | Multi-document Summarization Based on Sentence Clustering. | Hai-Tao Zheng, Shu-Qin Gong, Hao Chen, Yong Jiang, Shu-Tao Xia |
| 2014 | ICONIP | Exploiting Level-Wise Category Links for Semantic Relatedness Computing. | Hai-Tao Zheng, Wenzhen Wu, Yong Jiang, Shu-Tao Xia |
| 2014 | ICONIP | An Ontology-Based Approach to Query Suggestion Diversification. | Hai-Tao Zheng, Jie Zhao, Yichi Zhang, Yong Jiang, Shu-Tao Xia |
| 2014 | LANMAN | An analysis of scheduling mechanism in wireless network coding. | Jun Zhang, Shu-Tao Xia, Ning Gu, Jin-Yi Zhou |
| 2014 | NPC | Capacity Region of Wireless Network Coding. | Jun Zhang, Shu-Tao Xia |
| 2013 | ADMA | Exploiting Multiple Features for Learning to Rank in Expert Finding. | Hai-Tao Zheng, Qi Li, Yong Jiang, Shu-Tao Xia, Lanshan Zhang |
| 2013 | ISCC | A traffic localization strategy for peer-to-peer live streaming. | Chao Dai, Yong Jiang, Shu-Tao Xia, Hai-Tao Zheng, Laizhong Cui |
| 2013 | ISCC | An optimal segment replication strategy in P2P-VoD systems. | Hongke Hu, Yong Jiang, Laizhong Cui, Shu-Tao Xia, Hai-Tao Zheng |
| 2013 | ISIT | Incorrigible set distributions and unsuccessful decoding probability of linear codes. | Yong Jiang, Shu-Tao Xia, Xin-Ji Liu, Fang-Wei Fu |
| 2013 | ISIT | Reconstruction guarantee analysis of binary measurement matrices based on girth. | Xin-Ji Liu, Shu-Tao Xia |
| 2013 | ISIT | Constructions of quasi-cyclic measurement matrices based on array codes. | Xin-Ji Liu, Shu-Tao Xia |
| 2013 | WCNC | A constant approximation for multicast scheduling under physical interference model. | Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng |
| 2011 | ICONIP | An Adaptive Approach to Chinese Semantic Advertising. | Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |
| 2011 | ICONIP | PatentRank: An Ontology-based Approach to Patent Search. | Ming Li, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |
| 2011 | ICONIP | A Lightweight Ontology Learning Method for Chinese Government Documents. | Xing Zhao, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |
| 2006 | ISIT | A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes. | Shu-Tao Xia, Fang-Wei Fu, San Ling |