Zongqing Lu

214 papers A* 57A 8B 6Misc 3Journal 123Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization.
CoRR
Hao Luo, Ye Wang, Wanpeng Zhang, Sipeng Zheng, Ziheng Xi, Chaoyi Xu, Haiweng Xu, Haoqi Yuan, Chi Zhang, Yiqing Wang, Yicheng Feng, Zongqing Lu
2026 J jnl
Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting.
CoRR
Wanpeng Zhang, Hao Luo, Sipeng Zheng, Yicheng Feng, Haiweng Xu, Ziheng Xi, Chaoyi Xu, Haoqi Yuan, Zongqing Lu
2026 J jnl
DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation.
IEEE Robotics Autom. Lett.
Yuhui Fu, Feiyang Xie, Chaoyi Xu, Jing Xiong, Haoqi Yuan, Zongqing Lu
2026 J jnl
General Humanoid Whole-Body Control via Pretraining and Fast Adaptation.
CoRR
Zepeng Wang, Jiangxing Wang, Shiqing Yao, Yu Zhang, Ziluo Ding, Ming Yang, Yuxuan Wang, Haobin Jiang, Chao Ma, Xiaochuan Shi, Zongqing Lu
2026 J jnl
Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild.
CoRR
Hao Luo, Ye Wang, Wanpeng Zhang, Haoqi Yuan, Yicheng Feng, Haiweng Xu, Sipeng Zheng, Zongqing Lu
2026 A* conf
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations.
AAAI
Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu
2026 J jnl
OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data.
CoRR
Bin Cao, Sipeng Zheng, Hao Luo, Boyuan Li, Jing Liu, Zongqing Lu
2026 J jnl
Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization.
CoRR
Ye Wang, Sipeng Zheng, Hao Luo, Wanpeng Zhang, Haoqi Yuan, Chaoyi Xu, Haiweng Xu, Yicheng Feng, Mingyang Yu, Zhiyu Kang, Zongqing Lu, Qin Jin
2026 J jnl
Temporal Difference Learning with Constrained Initial Representations.
CoRR
Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li
2025 J jnl
Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills.
CoRR
Haoqi Yuan, Yu Bai, Yuhui Fu, Bohan Zhou, Yicheng Feng, Xinrun Xu, Yi Zhan, Börje F. Karlsson, Zongqing Lu
2025 J jnl
Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos.
CoRR
Hao Luo, Yicheng Feng, Wanpeng Zhang, Sipeng Zheng, Ye Wang, Haoqi Yuan, Jiazheng Liu, Chaoyi Xu, Qin Jin, Zongqing Lu
2025 J jnl
Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model.
CoRR
Bin Cao, Sipeng Zheng, Ye Wang, Lujie Xia, Qianshan Wei, Qin Jin, Jing Liu, Zongqing Lu
2025 A conf
Best Possible Q-Learning.
UAI
Jiechuan Jiang, Zongqing Lu
2025 J jnl
CORD: Generalizable Cooperation via Role Diversity.
CoRR
Kanefumi Matsuyama, Kefan Su, Jiangxing Wang, Deheng Ye, Zongqing Lu
2025 J jnl
CROSSER: Learning Generalizable Humanoid Locomotion Through Inverse Dynamics-Guided Cross-Simulator Adaptation.
IEEE Robotics Autom. Lett.
Zepeng Wang, Xiaochuan Shi, Ziluo Ding, Yuxuan Wang, Zhenguo Sun, Chao Ma, Zongqing Lu
2025 A* conf
Cradle: Empowering Foundation Agents towards General Computer Control.
ICML
Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu
2025 A conf
Creative Agents: Empowering Agents with Imagination for Creative Tasks.
UAI
Penglin Cai, Chi Zhang, Yuhui Fu, Haoqi Yuan, Zongqing Lu
2025 A* conf
Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint.
ICLR
Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li
2025 A* conf
Cross-Embodiment Dexterous Grasping with Reinforcement Learning.
ICLR
Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu
2025 J jnl
DemoGrasp: Universal Dexterous Grasping from a Single Demonstration.
CoRR
Haoqi Yuan, Ziye Huang, Ye Wang, Chuan Mao, Chaoyi Xu, Zongqing Lu
2025 J jnl
DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation.
CoRR
Yuhui Fu, Feiyang Xie, Chaoyi Xu, Jing Xiong, Haoqi Yuan, Zongqing Lu
2025 J jnl
DiG-Flow: Discrepancy-Guided Flow Matching for Robust VLA Models.
CoRR
Wanpeng Zhang, Ye Wang, Hao Luo, Haoqi Yuan, Yicheng Feng, Sipeng Zheng, Qin Jin, Zongqing Lu
2025 A* conf
Discrete Latent Plans via Semantic Skill Abstractions.
ICLR
Haobin Jiang, Jiangxing Wang, Zongqing Lu
2025 A* conf
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping.
ICLR
Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu
2025 J jnl
From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots.
CoRR
Yuxuan Wang, Ming Yang, Weishuai Zeng, Yu Zhang, Xinrun Xu, Haobin Jiang, Ziluo Ding, Zongqing Lu
2025 A* conf
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities.
ICLR
Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu
2025 — conf
GAMEBoT: Transparent Assessment of LLM Reasoning in Games.
ACL (1)
Wenye Lin, Jonathan Roberts, Yunhan Yang, Samuel Albanie, Zongqing Lu, Kai Han
2025 J jnl
GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training.
CoRR
Tong Wei, Yijun Yang, Changhao Zhang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye
2025 J jnl
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training.
CoRR
Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye
2025 J jnl
Guided Policy Optimization under Partial Observability.
CoRR
Yueheng Li, Guangming Xie, Zongqing Lu
2025 J jnl
JAEGER: Dual-Level Humanoid Whole-Body Controller.
CoRR
Ziluo Ding, Haobin Jiang, Yuxuan Wang, Zhenguo Sun, Yu Zhang, Xiaojie Niu, Ming Yang, Weishuai Zeng, Xinrun Xu, Zongqing Lu
2025 — conf
LLM-Based Explicit Models of Opponents for Multi-Agent Games.
NAACL (Long Papers)
Xiaopeng Yu, Wanpeng Zhang, Zongqing Lu
2025 A* conf
Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer.
ICLR
Hao Luo, Zongqing Lu
2025 J jnl
MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation.
CoRR
Bohan Zhou, Yi Zhan, Zhongbin Zhang, Zongqing Lu
2025 A* conf
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents.
ICLR
Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu
2025 J jnl
Multi-Agent Guided Policy Optimization.
CoRR
Yueheng Li, Guangming Xie, Zongqing Lu
2025 A conf
NOLO: Navigate Only Look Once.
IROS
Bohan Zhou, Zhongbin Zhang, Jiangxing Wang, Zongqing Lu
2025 J jnl
RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control.
CoRR
Junpeng Yue, Zepeng Wang, Yuxuan Wang, Weishuai Zeng, Jiangxing Wang, Xinrun Xu, Yu Zhang, Sipeng Zheng, Ziluo Ding, Zongqing Lu
2025 A* conf
Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning.
ICML
Yueheng Li, Guangming Xie, Zongqing Lu
2025 J jnl
Robust Motion Generation using Part-level Reliable Data from Videos.
CoRR
Boyuan Li, Sipeng Zheng, Bin Cao, Ruihua Song, Zongqing Lu
2025 J jnl
SELU: Self-Learning Embodied Multimodal Large Language Models in Unknown Environments.
Trans. Mach. Learn. Res.
Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu
2025 J jnl
SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control.
CoRR
Yuxuan Wang, Haobin Jiang, Shiqing Yao, Ziluo Ding, Zongqing Lu
2025 A* conf
Scaling Large Motion Models with Million-Level Human Motions.
ICML
Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Weishuai Zeng, Qin Jin, Zongqing Lu
2025 J jnl
Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos.
CoRR
Yicheng Feng, Wanpeng Zhang, Ye Wang, Hao Luo, Haoqi Yuan, Sipeng Zheng, Zongqing Lu
2025 A* conf
Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning.
EMNLP
Jiazheng Liu, Sipeng Zheng, Börje F. Karlsson, Zongqing Lu
2025 J jnl
Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning.
CoRR
Jiazheng Liu, Sipeng Zheng, Börje F. Karlsson, Zongqing Lu
2025 J jnl
Towards Proprioception-Aware Embodied Planning for Dual-Arm Humanoid Robots.
CoRR
Boyu Li, Siyuan He, Hang Xu, Haoqi Yuan, Xinrun Xu, Yu Zang, Liwei Hu, Junpeng Yue, Zhenxiong Jiang, Pengbo Hu, Börje F. Karlsson, Yehui Tang, Zongqing Lu
2025 J jnl
UniTacHand: Unified Spatio-Tactile Representation for Human to Robotic Hand Skill Transfer.
CoRR
Chi Zhang, Penglin Cai, Haoqi Yuan, Chaoyi Xu, Zongqing Lu
2025 J jnl
Unified Multimodal Understanding via Byte-Pair Visual Encoding.
CoRR
Wanpeng Zhang, Yicheng Feng, Hao Luo, Yijiang Li, Zihao Yue, Sipeng Zheng, Zongqing Lu
2025 J jnl
Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning.
CoRR
Chuan Mao, Haoqi Yuan, Ziye Huang, Chaoyi Xu, Kai Ma, Zongqing Lu
2025 A* conf
Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy.
ICLR
Jiangxing Wang, Zongqing Lu
2024 J jnl
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization.
Trans. Mach. Learn. Res.
Kefan Su, Zongqing Lu
2024 — conf
AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback.
NAACL-HLT (Findings)
Wanpeng Zhang, Zongqing Lu
2024 A* conf
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games.
NeurIPS
Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng
2024 J jnl
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games.
CoRR
Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng
2024 J jnl
Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games.
CoRR
Wenye Lin, Jonathan Roberts, Yunhan Yang, Samuel Albanie, Zongqing Lu, Kai Han
2024 J jnl
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang
2024 A* conf
Cross-Domain Policy Adaptation by Capturing Representation Mismatch.
ICML
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
2024 J jnl
Cross-Domain Policy Adaptation by Capturing Representation Mismatch.
CoRR
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
2024 J jnl
Cross-Embodiment Dexterous Grasping with Reinforcement Learning.
CoRR
Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu
2024 J jnl
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping.
CoRR
Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu
2024 J jnl
Egocentric Vision Language Planning.
CoRR
Zhirui Fang, Ming Yang, Weishuai Zeng, Boyu Li, Junpeng Yue, Ziluo Ding, Xiu Li, Zongqing Lu
2024 J jnl
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities.
CoRR
Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu
2024 J jnl
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey.
CoRR
Jiechuan Jiang, Kefan Su, Zongqing Lu
2024 — conf
LLaMA-Rider: Spurring Large Language Models to Explore the Open World.
NAACL-HLT (Findings)
Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu
2024 — conf
Language Model Adaption for Reinforcement Learning with Natural Language Action Space.
ACL (1)
Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu
2024 J jnl
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations.
CoRR
Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu
2024 A* conf
Learning Multi-Object Positional Relationships via Emergent Communication.
AAAI
Yicheng Feng, Boshi An, Zongqing Lu
2024 J jnl
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents.
CoRR
Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu
2024 J jnl
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control.
CoRR
Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
2024 A conf
Multi-Agent Alternate Q-Learning.
AAMAS
Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu
2024 A* conf
Multi-Agent Coordination via Multi-Level Communication.
NeurIPS
Gang Ding, Zeyuan Liu, Zhirui Fang, Kefan Su, Liwen Zhu, Zongqing Lu
2024 J jnl
NOLO: Navigate Only Look Once.
CoRR
Bohan Zhou, Jiangxing Wang, Zongqing Lu
2024 A* conf
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning.
NeurIPS
Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024 J jnl
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning.
CoRR
Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024 J jnl
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse.
Inf. Sci.
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 A* conf
Opponent Modeling based on Subgoal Inference.
NeurIPS
Xiaopeng Yu, Jiechuan Jiang, Zongqing Lu
2024 A* conf
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation.
NeurIPS
Haoqi Yuan, Yuhui Fu, Feiyang Xie, Zongqing Lu
2024 A* conf
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning.
ICLR
Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu
2024 — conf
Pre-trained Visual Dynamics Representations for Efficient Policy Learning.
ECCV (81)
Hao Luo, Bohan Zhou, Zongqing Lu
2024 J jnl
Pre-trained Visual Dynamics Representations for Efficient Policy Learning.
CoRR
Hao Luo, Bohan Zhou, Zongqing Lu
2024 J jnl
Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models.
CoRR
Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Qin Jin, Zongqing Lu
2024 A* conf
RL-GPT: Integrating Reinforcement Learning and Code-as-policy.
NeurIPS
Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia
2024 J jnl
RL-GPT: Integrating Reinforcement Learning and Code-as-policy.
CoRR
Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia
2024 — conf
Reinforcement Learning Friendly Vision-Language Model for Minecraft.
ECCV (68)
Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu
2024 A* conf
SEABO: A Simple Search-Based Method for Offline Imitation Learning.
ICLR
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024 J jnl
SEABO: A Simple Search-Based Method for Offline Imitation Learning.
CoRR
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024 J jnl
SELU: Self-Learning Embodied MLLMs in Unknown Environments.
CoRR
Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu
2024 A* conf
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing.
AAAI
Haobin Jiang, Ziluo Ding, Zongqing Lu
2024 J jnl
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing.
CoRR
Haobin Jiang, Ziluo Ding, Zongqing Lu
2024 A* conf
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds.
ICLR
Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu
2024 A* conf
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation.
ICML
Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu
2024 J jnl
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study.
CoRR
Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
2024 A conf
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning.
AAMAS
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 J jnl
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.
CoRR
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 J jnl
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.
J. Artif. Intell. Res.
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 — conf
UniCode: Learning a Unified Codebook for Multimodal Large Language Models.
ECCV (8)
Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu
2024 J jnl
UniCode: Learning a Unified Codebook for Multimodal Large Language Models.
CoRR
Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu
2024 J jnl
VideoOrion: Tokenizing Object Dynamics in Videos.
CoRR
Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu
2024 — conf
Visual Grounding for Object-Level Generalization in Reinforcement Learning.
ECCV (30)
Haobin Jiang, Zongqing Lu
2024 J jnl
Visual Grounding for Object-Level Generalization in Reinforcement Learning.
CoRR
Haobin Jiang, Zongqing Lu
2023 J jnl
A Survey on Transformers in Reinforcement Learning.
CoRR
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023 J jnl
A Survey on Transformers in Reinforcement Learning.
Trans. Mach. Learn. Res.
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023 A conf
Adaptive Learning Rates for Multi-Agent Reinforcement Learning.
AAMAS
Jiechuan Jiang, Zongqing Lu
2023 J jnl
Best Possible Q-Learning.
CoRR
Jiechuan Jiang, Zongqing Lu
2023 J jnl
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft.
CoRR
Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu
2023 J jnl
Creative Agents: Empowering Agents with Imagination for Creative Tasks.
CoRR
Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, Zongqing Lu
2023 A* conf
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning.
ICML
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
2023 J jnl
LLaMA Rider: Spurring Large Language Models to Explore the Open World.
CoRR
Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu
2023 J jnl
Learning Multi-Object Positional Relationships via Emergent Communication.
CoRR
Yicheng Feng, Boshi An, Zongqing Lu
2023 A* conf
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer.
NeurIPS
Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
2023 J jnl
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer.
CoRR
Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
2023 J jnl
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control.
IEEE Trans. Knowl. Data Eng.
Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
2023 J jnl
Model-Based Decentralized Policy Optimization.
CoRR
Hao Luo, Jiechuan Jiang, Zongqing Lu
2023 A* conf
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization.
ICLR
Jiangxing Wang, Deheng Ye, Zongqing Lu
2023 A* conf
Multi-Agent Automated Machine Learning.
CVPR
Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu
2023 — conf
Multi-Agent Language Learning: Symbolic Mapping.
ACL (Findings)
Yicheng Feng, Zongqing Lu
2023 A* conf
Mutual-Information Regularized Multi-Agent Policy Iteration.
NeurIPS
Jiangxing Wang, Deheng Ye, Zongqing Lu
2023 J jnl
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse.
CoRR
Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li
2023 A conf
Offline Decentralized Multi-Agent Reinforcement Learning.
ECAI
Jiechuan Jiang, Zongqing Lu
2023 A* conf
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning.
AAAI
Jiechuan Jiang, Zongqing Lu
2023 J jnl
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks.
CoRR
Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu
2023 J jnl
RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds.
CoRR
Wanpeng Zhang, Zongqing Lu
2023 A* conf
ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo.
ICCV
Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi
2023 — conf
State Advantage Weighting for Offline RL.
Tiny Papers @ ICLR
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
2023 J jnl
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds.
CoRR
Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu
2023 J jnl
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation.
CoRR
Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu
2022 J jnl
Asynchronous Reinforcement Learning Framework and Knowledge Transfer for Net-Order Exploration in Detailed Routing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yibo Lin, Tong Qu, Zongqing Lu, Yajuan Su, Yayi Wei
2022 J jnl
Decentralized Policy Optimization.
CoRR
Kefan Su, Zongqing Lu
2022 A* conf
Difference Advantage Estimation for Multi-Agent Policy Gradients.
ICML
Yueheng Li, Guangming Xie, Zongqing Lu
2022 A* conf
Divergence-Regularized Multi-Agent Actor-Critic.
ICML
Kefan Su, Zongqing Lu
2022 A* conf
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination.
NeurIPS
Jiafei Lyu, Xiu Li, Zongqing Lu
2022 J jnl
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination.
CoRR
Jiafei Lyu, Xiu Li, Zongqing Lu
2022 J jnl
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning.
CoRR
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
2022 A* conf
I2Q: A Fully Decentralized Q-Learning Algorithm.
NeurIPS
Jiechuan Jiang, Zongqing Lu
2022 A* conf
Learning to Share in Networked Multi-Agent Reinforcement Learning.
NeurIPS
Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu
2022 J jnl
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning.
CoRR
Kefan Su, Siyuan Zhou, Chuang Gan, Xiangjun Wang, Zongqing Lu
2022 A* conf
Mildly Conservative Q-Learning for Offline Reinforcement Learning.
NeurIPS
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
2022 J jnl
Mildly Conservative Q-Learning for Offline Reinforcement Learning.
CoRR
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
2022 A* conf
Model-Based Opponent Modeling.
NeurIPS
Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
2022 J jnl
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization.
CoRR
Jiangxing Wang, Deheng Ye, Zongqing Lu
2022 J jnl
Multi-Agent Automated Machine Learning.
CoRR
Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu
2022 J jnl
Multi-Agent Sequential Decision-Making via Communication.
CoRR
Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu
2022 A* conf
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning.
ICML
Haoqi Yuan, Zongqing Lu
2022 J jnl
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning.
CoRR
Haoqi Yuan, Zongqing Lu
2022 J jnl
State Advantage Weighting for Offline RL.
CoRR
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
2022 A* conf
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.
NeurIPS
Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
2022 J jnl
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.
CoRR
Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu
2021 A conf
Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing.
DATE
Tong Qu, Yibo Lin, Zongqing Lu, Yajuan Su, Yayi Wei
2021 J jnl
Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices.
IEEE Trans. Mob. Comput.
Zongqing Lu, Swati Rallapalli, Kevin Chan, Shiliang Pu, Thomas La Porta
2021 J jnl
Divergence-Regularized Multi-Agent Actor-Critic.
CoRR
Kefan Su, Zongqing Lu
2021 A* conf
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning.
ICML
Tianhao Zhang, Yueheng Li, Chen Wang, Guangming Xie, Zongqing Lu
2021 A* conf
Hierarchically and Cooperatively Learning Traffic Signal Control.
AAAI
Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu
2021 J jnl
Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions.
CoRR
Yifan Yu, Haobin Jiang, Zongqing Lu
2021 J jnl
Learning to Share in Multi-Agent Reinforcement Learning.
CoRR
Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu
2021 J jnl
Model-Based Opponent Modeling.
CoRR
Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu
2021 J jnl
Offline Decentralized Multi-Agent Reinforcement Learning.
CoRR
Jiechuan Jiang, Zongqing Lu
2021 J jnl
PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks.
IEEE Trans. Mob. Comput.
Noor Felemban, Fidan Mehmeti, Hana Khamfroush, Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta
2021 J jnl
Quality of Information in Gathering Information via Video Analytics for Military Networks.
IEEE Commun. Mag.
Fidan Mehmeti, Noor Felemban, Zongqing Lu, Kristina Wheatman, Gregory H. Cirincione, Thomas F. La Porta
2021 J jnl
Revisiting Prioritized Experience Replay: A Value Perspective.
CoRR
Ang A. Li, Zongqing Lu, Chenglin Miao
2021 A* conf
The Emergence of Individuality.
ICML
Jiechuan Jiang, Zongqing Lu
2021 J jnl
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
IEEE Trans. Biomed. Eng.
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2021 J jnl
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control.
CoRR
Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian
2020 A* conf
Generative Exploration and Exploitation.
AAAI
Jiechuan Jiang, Zongqing Lu
2020 A* conf
Graph Convolutional Reinforcement Learning.
ICLR
Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu
2020 A* conf
Learning Individually Inferred Communication for Multi-Agent Cooperation.
NeurIPS
Ziluo Ding, Tiejun Huang, Zongqing Lu
2020 J jnl
Learning Individually Inferred Communication for Multi-Agent Cooperation.
CoRR
Ziluo Ding, Tiejun Huang, Zongqing Lu
2020 J jnl
NetVision: On-Demand Video Processing in Wireless Networks.
IEEE/ACM Trans. Netw.
Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta
2020 J jnl
The Emergence of Individuality in Multi-Agent Reinforcement Learning.
CoRR
Jiechuan Jiang, Zongqing Lu
2019 J jnl
CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning.
IEEE Trans. Mob. Comput.
Zongqing Lu, Kevin S. Chan, Shiliang Pu, Thomas La Porta
2019 J jnl
Generative Exploration and Exploitation.
CoRR
Jiechuan Jiang, Zongqing Lu
2019 — conf
Heterogeneous Transfer Learning for Thermal Comfort Modeling.
BuildSys
Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen
2019 A* conf
Learning Fairness in Multi-Agent Systems.
NeurIPS
Jiechuan Jiang, Zongqing Lu
2019 J jnl
Learning Fairness in Multi-Agent Systems.
CoRR
Jiechuan Jiang, Zongqing Lu
2019 J jnl
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
CoRR
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2018 A* conf
A Computing Platform for Video Crowdprocessing Using Deep Learning.
INFOCOM
Zongqing Lu, Kevin S. Chan, Thomas La Porta
2018 J jnl
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation.
CoRR
Jiechuan Jiang, Chen Dun, Zongqing Lu
2018 A* conf
Learning Attentional Communication for Multi-Agent Cooperation.
NeurIPS
Jiechuan Jiang, Zongqing Lu
2018 J jnl
Learning Attentional Communication for Multi-Agent Cooperation.
CoRR
Jiechuan Jiang, Zongqing Lu
2017 J jnl
Cluster-Aware Virtual Machine Collaborative Migration in Media Cloud.
IEEE Trans. Parallel Distributed Syst.
Weizhan Zhang, Yuxuan Chen, Xiang Gao, Zhichao Mo, Qinghua Zheng, Zongqing Lu
2017 J jnl
Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure.
IEEE/ACM Trans. Netw.
Zongqing Lu, Xiao Sun, Thomas La Porta
2017 A* conf
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices.
ACM Multimedia
Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta
2017 J jnl
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices.
CoRR
Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta
2017 — conf
On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract.
IoTDI
Zongqing Lu, Noor Felemban, Kevin S. Chan, Thomas La Porta
2017 J jnl
TeamPhone: Networking SmartPhones for Disaster Recovery.
IEEE Trans. Mob. Comput.
Zongqing Lu, Guohong Cao, Thomas La Porta
2016 J jnl
Cooperative Data Offloading in Opportunistic Mobile Networks.
CoRR
Zongqing Lu, Xiao Sun, Thomas La Porta
2016 A* conf
Cooperative data offloading in opportunistic mobile networks.
INFOCOM
Zongqing Lu, Xiao Sun, Thomas La Porta
2016 J jnl
Infectious Disease Containment Based on a Wireless Sensor System.
IEEE Access
Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao
2016 A* conf
Networking smartphones for disaster recovery.
PerCom
Zongqing Lu, Guohong Cao, Thomas La Porta
2016 B conf
On-demand video processing in wireless networks.
ICNP
Zongqing Lu, Kevin S. Chan, Rahul Urgaonkar, Thomas La Porta
2016 Misc conf
Protection of location privacy in continuous LBSs against adversaries with background information.
ICNC
Ben Niu, Sheng Gao, Fenghua Li, Hui Li, Zongqing Lu
2016 J jnl
TeamPhone: Networking Smartphones for Disaster Recovery.
CoRR
Zongqing Lu, Guohong Cao, Thomas La Porta
2016 J jnl
Towards Information Diffusion in Mobile Social Networks.
IEEE Trans. Mob. Comput.
Zongqing Lu, Yonggang Wen, Weizhan Zhang, Qinghua Zheng, Guohong Cao
2016 — conf
Video processing of complex activity detection in resource-constrained networks.
GlobalSIP
Noor Felemban, Zongqing Lu, Thomas La Porta, Kevin S. Chan
2015 Misc conf
A personalized two-tier cloaking scheme for privacy-aware location-based services.
ICNC
Ben Niu, Xiaoyan Zhu, Weihao Li, Hui Li, Yingjuan Wang, Zongqing Lu
2015 J jnl
Algorithms and Applications for Community Detection in Weighted Networks.
IEEE Trans. Parallel Distributed Syst.
Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao, Thomas La Porta
2015 Misc conf
SymDetector: detecting sound-related respiratory symptoms using smartphones.
UbiComp
Xiao Sun, Zongqing Lu, Wenjie Hu, Guohong Cao
2015 A* conf
Targeted vaccination based on a wireless sensor system.
PerCom
Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao
2015 B conf
Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks.
ICCCN
Zongqing Lu, Jing Zhao, Yibo Wu, Guohong Cao
2014 J jnl
Distributed Algorithm for Tree-Structured Data Aggregation Service Placement in Smart Grid.
IEEE Syst. J.
Zongqing Lu, Yonggang Wen
2014 — —
Exploring social structures for network protocol designs
Zongqing Lu
2014 A* conf
Information diffusion in mobile social networks: The speed perspective.
INFOCOM
Zongqing Lu, Yonggang Wen, Guohong Cao
2014 J jnl
Priority-Aware Private Matching Schemes for Proximity-Based Mobile Social Networks.
CoRR
Ben Niu, Tanran Zhang, Xiaoyan Zhu, Hui Li, Zongqing Lu
2014 B conf
Skeleton construction in mobile social networks: Algorithms and applications.
SECON
Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao
2013 A* conf
Community detection in weighted networks: Algorithms and applications.
PerCom
Zongqing Lu, Yonggang Wen, Guohong Cao
2013 J jnl
D2F: A Routing Protocol for Distributed Data Fusion in Wireless Sensor Networks.
Wirel. Pers. Commun.
Zongqing Lu, Su-Lim Tan, Jit Biswas
2013 J jnl
Fusion function placement for Active Networks paradigm in wireless sensor networks.
Wirel. Networks
Zongqing Lu, Su-Lim Tan, Jit Biswas
2013 J jnl
Toward Efficient Distributed Algorithms for In-Network Binary Operator Tree Placement in Wireless Sensor Networks.
IEEE J. Sel. Areas Commun.
Zongqing Lu, Yonggang Wen, Rui Fan, Su-Lim Tan, Jit Biswas
2012 B conf
Credit routing for source-location privacy protection in wireless sensor networks.
MASS
Zongqing Lu, Yonggang Wen
2012 — conf
Distributed and Asynchronous Solution to Operator Placement in Large Wireless Sensor Networks.
MSN
Zongqing Lu, Yonggang Wen
2011 B conf
A power-aware framework for distributed data fusion application in wireless sensor networks.
LCN
Zongqing Lu, Su-Lim Tan, Jit Biswas
2011 J jnl
Evaluation of a TDMA-based energy efficient MAC protocol for multiple capsule networks.
EURASIP J. Wirel. Commun. Netw.
Lin Lin, Kai Juan Wong, Arun Kumar, Zongqing Lu, Su-Lim Tan, Soo-Jay Phee
2011 B conf
Function Placement of Data Fusion for Active Networks Paradigm in Wireless Sensor Networks.
MASS
Zongqing Lu, Su-Lim Tan, Jit Biswas
2011 — conf
Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks.
AINA Workshops
Zongqing Lu, Su-Lim Tan, Jit Biswas