| 2025 | AAAI | ExcluIR: Exclusionary Neural Information Retrieval. | Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren |
| 2025 | EMNLP | Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following. | Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Irwin King |
| 2025 | EMNLP | Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems. | Minghang Zhu, Zhengliang Shi, Zhiwei Xu, Shiguang Wu, Lingjie Wang, Pengjie Ren, Zhaochun Ren, Zhumin Chen |
| 2025 | ICLR | Why In-Context Learning Models are Good Few-Shot Learners? | Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2025 | SIGIR | Constrained Auto-Regressive Decoding Constrains Generative Retrieval. | Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren |
| 2024 | ACL | MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. | Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei |
| 2024 | CVPR | Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts. | Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang |
| 2024 | ICLR | Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. | Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo |
| 2024 | IJCAI | PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. | Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2024 | IJCAI | PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. | Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang |
| 2024 | ICRA | Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. | Suhan Ling, Yian Wang, Ruihai Wu, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong |
| 2024 | SIGIR | Generative Retrieval as Multi-Vector Dense Retrieval. | Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren |
| 2023 | WWW | ColdNAS: Search to Modulate for User Cold-Start Recommendation. | Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao |
| 2022 | AAAI | Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. | Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu |
| 2022 | IJCNN | Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. | Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang |
| 2022 | IJCNN | Multi-Agent Local Information Reconstruction for Situational Cognition. | Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi |
| 2022 | IJCNN | Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. | Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | IROS | Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. | Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | ICRA | Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. | Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang |
| 2020 | ICONIP | Multi-agent Cooperation and Competition with Two-Level Attention Network. | Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang |
| 2020 | IJCNN | Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. | Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |