| 2026 | AAAI | Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks. | Hao Qian, Shikui Tu, Lei Xu |
| 2026 | AAAI | SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding. | Lin Zhang, Shikui Tu, Lei Xu |
| 2025 | ICLR | Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations. | Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu, Lei Xu |
| 2025 | KDD | S3GA: Towards Scalable Self-Supervised Learning for Large Scale Graph Alignment. | Wenqi Guo, Shikui Tu, Lei Xu |
| 2024 | AAAI | Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. | Zhousan Xie, Shikui Tu, Lei Xu |
| 2024 | IJCAI | SketchEdit: Editing Freehand Sketches at the Stroke-Level. | Tengjie Li, Shikui Tu, Lei Xu |
| 2024 | IJCAI | Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. | Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu |
| 2024 | IJCAI | Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. | Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu |
| 2023 | AAAI | Self-Supervised Bidirectional Learning for Graph Matching. | Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu |
| 2023 | AAAI | Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. | Sicong Zang, Shikui Tu, Lei Xu |
| 2023 | DATE | DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. | Dengwei Zhao, Shuai Yuan, Yanan Sun, Shikui Tu, Lei Xu |
| 2023 | ICASSP | A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. | Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu |
| 2023 | ICONIP | Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. | Mingfei Li, Shikui Tu, Lei Xu |
| 2023 | IJCAI | GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. | Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu |
| 2022 | ICANN | Learning to Generate Textual Adversarial Examples. | Xiangzhe Guo, Shikui Tu, Lei Xu |
| 2022 | ICML | Efficient Learning for AlphaZero via Path Consistency. | Dengwei Zhao, Shikui Tu, Lei Xu |
| 2022 | ICONIP | Searching for Textual Adversarial Examples with Learned Strategy. | Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu |
| 2022 | ICONIP | IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. | Haoran Ma, Shikui Tu, Lei Xu |
| 2021 | AAAI | DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. | Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu |
| 2021 | AAAI | IA-GM: A Deep Bidirectional Learning Method for Graph Matching. | Kaixuan Zhao, Shikui Tu, Lei Xu |
| 2021 | PRICAI | A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. | Qingjie Sheng, Shikui Tu, Lei Xu |
| 2020 | IJCAI | Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. | Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu |
| 2019 | ICTAI | GLmser: A GAN-Lmser Network for Image-to-Image Translation. | Haote Yang, Shikui Tu |
| 2017 | IDEAL | A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. | Weijian Long, Shikui Tu, Lei Xu |
| 2012 | CIBCB | A non-Gaussian factor analysis approach to transcription Network Component Analysis. | Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu |
| 2010 | ICASSP | A study of several model selection criteria for determining the number of signals. | Shikui Tu, Lei Xu |
| 2009 | IDA | Canonical Dual Approach to Binary Factor Analysis. | Ke Sun, Shikui Tu, David Yang Gao, Lei Xu |
| 2009 | IDA | Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. | Shikui Tu, Lei Xu |
| 2008 | ICANN | A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. | Shikui Tu, Lei Shi, Lei Xu |