| 2026 | AAAI | HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting. | Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang |
| 2026 | AAAI | Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye |
| 2026 | ACL | BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks. | Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang |
| 2026 | ACL | Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. | Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen |
| 2025 | ACL | Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models. | Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | NeuronMerge: Merging Models via Functional Neuron Groups. | Wangyun Gu, Qianghua Gao, Li-Xin Zhang, Xu Shen, Jieping Ye |
| 2025 | ACL | Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions. | Yiqun Wang, Chaoqun Wan, Sile Hu, Yonggang Zhang, Xiang Tian, Yaowu Chen, Xu Shen, Jieping Ye |
| 2025 | DASFAA | Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification. | Ruxue Shi, Hengrui Gu, Xu Shen, Xin Wang |
| 2025 | EMNLP | Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. | Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang |
| 2025 | ICLR | Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. | Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang |
| 2025 | ICLR | Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models. | Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye |
| 2025 | ICLR | Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. | Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye |
| 2025 | IJCAI | Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. | Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang |
| 2025 | IJCAI | Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. | Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang |
| 2025 | PAKDD | Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning. | Minlan Shao, Yili Wang, Xu Shen, Xin Wang |
| 2024 | ACL | SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. | Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye |
| 2024 | CVPR | Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning. | Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2024 | EMNLP | Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. | Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye |
| 2024 | ICML | From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. | Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye |
| 2024 | ICML | Interpreting and Improving Large Language Models in Arithmetic Calculation. | Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye |
| 2024 | KDD | Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. | Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang |
| 2023 | ICLR | Contextual Convolutional Networks. | Shuxian Liang, Xu Shen, Tongliang Liu, Xian-Sheng Hua |
| 2023 | ICLR | Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning. | Xiaobo Xia, Jiale Liu, Jun Yu, Xu Shen, Bo Han, Tongliang Liu |
| 2022 | CVPR | Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization. | Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2022 | CVPR | Meta Convolutional Neural Networks for Single Domain Generalization. | Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua |
| 2022 | ECCV | Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. | Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2022 | ECCV | Delving into Details: Synopsis-to-Detail Networks for Video Recognition. | Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | CVPR | Partial Person Re-Identification With Part-Part Correspondence Learning. | Tianyu He, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2021 | CVPR | Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. | Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | ICCV | Dense Interaction Learning for Video-based Person Re-identification. | Tianyu He, Xin Jin, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2021 | ICCV | 3D Local Convolutional Neural Networks for Gait Recognition. | Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | ICCV | Video Object Segmentation with Dynamic Memory Networks and Adaptive Object Alignment. | Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | ICRA | Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach. | Xu Shen, Edward L. Zhu, Yvonne R. Strz, Francesco Borrelli |
| 2019 | CVPR | Quantization Networks. | Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua |
| 2019 | CVPR | Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification. | Yiru Zhao, Xu Shen, Zhongming Jin, Hongtao Lu, Xian-Sheng Hua |
| 2018 | AAAI | Sequence-to-Sequence Learning via Shared Latent Representation. | Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao |
| 2017 | AAAI | Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. | Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao |
| 2017 | IJCAI | Classification and Representation Joint Learning via Deep Networks. | Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao |
| 2017 | WCNC | Automatic Modulation Classification Based Multiple Cumulants and Quasi-Newton Method for MIMO System. | Yani Nie, Xu Shen, Sai Huang, Yifan Zhang, Zhiyong Feng |
| 2015 | MMM | Photo Quality Assessment with DCNN that Understands Image Well. | Zhe Dong, Xu Shen, Houqiang Li, Xinmei Tian |