Learning Individually Inferred Communication for Multi-Agent Cooperation. - Ziluo Ding; Tiejun Huang 001; Zongqing Lu (NeurIPS, 2020)

SCFlow: Optical Flow Estimation for Spiking Camera. - Liwen Hu 002; Rui Zhao 010; Ziluo Ding; Ruiqin Xiong; Lei Ma 008; Tiejun Huang 001 (CoRR, 2021)

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. - Ziluo Ding; Rui Zhao 010; Jiyuan Zhang; Tianxiao Gao; Ruiqin Xiong; Zhaofei Yu; Tiejun Huang 001 (AAAI, 2022)

Optical Flow Estimation for Spiking Camera. - Liwen Hu 002; Rui Zhao 010; Ziluo Ding; Lei Ma 008; Boxin Shi; Ruiqin Xiong; Tiejun Huang 001 (CVPR, 2022)

Modeling The Detection Capability Of High-Speed Spiking Cameras. - Junwei Zhao; Zhaofei Yu; Lei Ma 008; Ziluo Ding; Shiliang Zhang; Yonghong Tian 001; Tiejun Huang 001 (ICASSP, 2022)

Multi-Agent Sequential Decision-Making via Communication. - Ziluo Ding; Kefan Su; Weixin Hong; Liwen Zhu 003; Tiejun Huang 001; Zongqing Lu (CoRR, 2022)

MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder. - Rui Zhao 010; Ruiqin Xiong; Ziluo Ding; Xiaopeng Fan; Jian Zhang 018; Tiejun Huang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. - Ziluo Ding; Wanpeng Zhang 002; Junpeng Yue; Xiangjun Wang; Tiejun Huang 001; Zongqing Lu (ICML, 2023)

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera. - Lujie Xia; Ziluo Ding; Rui Zhao 010; Jiyuan Zhang; Lei Ma 008; Zhaofei Yu; Tiejun Huang 001; Ruiqin Xiong (NeurIPS, 2023)

CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. - Ziluo Ding; Hao Luo 011; Ke Li; Junpeng Yue; Tiejun Huang 001; Zongqing Lu (CoRR, 2023)

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. - Haobin Jiang; Ziluo Ding; Zongqing Lu (AAAI, 2024)

Learning to Robustly Reconstruct Dynamic Scenes from Low-Light Spike Streams. - Liwen Hu 002; Ziluo Ding; Mianzhi Liu; Lei Ma 008; Tie-Jun Huang 001 (ECCV (17), 2024)

Reinforcement Learning Friendly Vision-Language Model for Minecraft. - Haobin Jiang; Junpeng Yue; Hao Luo 011; Ziluo Ding; Zongqing Lu (ECCV (68), 2024)

Learning to Robustly Reconstruct Low-light Dynamic Scenes from Spike Streams. - Liwen Hu 002; Ziluo Ding; Mianzhi Liu; Lei Ma 008; Tiejun Huang 001 (CoRR, 2024)

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. - Weihao Tan; Ziluo Ding; Wentao Zhang 007; Boyu Li; Bohan Zhou; Junpeng Yue; Haochong Xia; Jiechuan Jiang; Longtao Zheng; Xinrun Xu; Yifei Bi; Pengjie Gu; et al. (CoRR, 2024)

A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges. - Xinrun Xu; Yuxin Wang 006; Chaoyi Xu; Ziluo Ding; Jiechuan Jiang; Zhiming Ding; Börje F. Karlsson (CoRR, 2024)

Egocentric Vision Language Planning. - Zhirui Fang; Ming Yang; Weishuai Zeng; Boyu Li; Junpeng Yue; Ziluo Ding; Xiu Li 001; Zongqing Lu (CoRR, 2024)

SELU: Self-Learning Embodied MLLMs in Unknown Environments. - Boyu Li 003; Haobin Jiang; Ziluo Ding; Xinrun Xu; Haoran Li 010; Dongbin Zhao; Zongqing Lu (CoRR, 2024)