| 2026 | ACL | Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness. | Fulong Fan, Peilin Liu, Fengzhe Liu, Shuyan Yang, Gang Yan |
| 2026 | ICTIR | RIDRec: Retrieval-Enhanced Intent Diffusion for Anonymous Short-Session Recommendation. | Peilin Liu, Zhiquan Ji, Gang Yan |
| 2026 | IWQoS | FedRIDA: Coordinated Participation and Update Control for Time-Efficient Federated Learning. | Gang Yan, Yujie Jia |
| 2026 | SIGIR | WPGRec: Wavelet Packet Guided Graph Enhanced Sequential Recommendation. | Peilin Liu, Zhiquan Ji, Gang Yan |
| 2025 | CIKM | FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning. | Gang Yan, Jian Li, Wan Du |
| 2025 | IJCAI | A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. | Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo |
| 2025 | KDD | FedDiAL: Adaptive Federated Learning with Hierarchical Discriminative Network for Large Pre-trained Models. | Gang Yan, Wan Du |
| 2024 | AAAI | DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. | Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li |
| 2024 | IROS | Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion. | Gang Yan, Jinsong He, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano |
| 2024 | KDD | FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2024 | MOBIHOC | Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. | Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li |
| 2024 | RAID | Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2023 | AAAI | Inferring Patient Zero on Temporal Networks via Graph Neural Networks. | Xiaolei Ru, Jack Murdoch Moore, Xinya Zhang, Yeting Zeng, Gang Yan |
| 2023 | AAAI | DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2023 | KDD | CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2022 | AAAI | Seizing Critical Learning Periods in Federated Learning. | Gang Yan, Hao Wang, Jian Li |
| 2022 | INFOCOM | Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach. | Guojun Xiong, Shufan Wang, Gang Yan, Jian Li |
| 2022 | ICRA | Detection of Slip from Vision and Touch. | Gang Yan, Alexander Schmitz, Tito Pradhono Tomo, Sophon Somlor, Satoshi Funabashi, Shigeki Sugano |
| 2022 | USENIX | Towards Latency Awareness for Content Delivery Network Caching. | Gang Yan, Jian Li |
| 2021 | CoNEXT | Learning from optimal caching for content delivery. | Gang Yan, Jian Li, Don Towsley |
| 2021 | ICRA | SCT-CNN: A Spatio-Channel-Temporal Attention CNN for Grasp Stability Prediction. | Gang Yan, Alexander Schmitz, Satoshi Funabashi, Sophon Somlor, Tito Pradhono Tomo, Shigeki Sugano |
| 2019 | ICRA | Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand. | Satoshi Funabashi, Gang Yan, Andreas Geier, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano |
| 2019 | IROS | Sequential clustering for tactile image compression to enable direct adaptive feedback. | Andreas Geier, Gang Yan, Tito Pradhono Tomo, Shun Ogasa, Sophon Somlor, Alexander Schmitz, Shigeki Sugano |
| 2013 | ICMLC | Motion detection based on spatio-temporal saliency perception. | Gang Yan, Ming Yu, Cui-Hong Xue |
| 2013 | ICMLC | Salient region detection based on multi-resolution. | Ying-Chun Guo, Xiao-Min Yue, Gang Yan |
| 2012 | ICMLC | MRF restoration based on regularization. | Ming Yu, Yu-Hao Yang, Cui-Hong Xue, Gang Yan, Chao Jia, Jing-Xin Wang |