Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks. - Zongqing Lu 002; Su-Lim Tan; Jit Biswas (AINA Workshops, 2011)

A power-aware framework for distributed data fusion application in wireless sensor networks. - Zongqing Lu 002; Su-Lim Tan; Jit Biswas (LCN, 2011)

Function Placement of Data Fusion for Active Networks Paradigm in Wireless Sensor Networks. - Zongqing Lu 002; Su-Lim Tan; Jit Biswas (MASS, 2011)

Evaluation of a TDMA-based energy efficient MAC protocol for multiple capsule networks. - Lin Lin 002; Kai Juan Wong; Arun Kumar 006; Zongqing Lu 002; Su-Lim Tan; Soo-Jay Phee (EURASIP J. Wirel. Commun. Netw., 2011)

Credit routing for source-location privacy protection in wireless sensor networks. - Zongqing Lu 002; Yonggang Wen 001 (MASS, 2012)

Distributed and Asynchronous Solution to Operator Placement in Large Wireless Sensor Networks. - Zongqing Lu 002; Yonggang Wen 001 (MSN, 2012)

Community detection in weighted networks: Algorithms and applications. - Zongqing Lu 002; Yonggang Wen 001; Guohong Cao (PerCom, 2013)

Toward Efficient Distributed Algorithms for In-Network Binary Operator Tree Placement in Wireless Sensor Networks. - Zongqing Lu 002; Yonggang Wen 001; Rui Fan 004; Su-Lim Tan; Jit Biswas (IEEE J. Sel. Areas Commun., 2013)

Fusion function placement for Active Networks paradigm in wireless sensor networks. - Zongqing Lu 002; Su-Lim Tan; Jit Biswas (Wirel. Networks, 2013)

D2F: A Routing Protocol for Distributed Data Fusion in Wireless Sensor Networks. - Zongqing Lu 002; Su-Lim Tan; Jit Biswas (Wirel. Pers. Commun., 2013)

Information diffusion in mobile social networks: The speed perspective. - Zongqing Lu 002; Yonggang Wen 001; Guohong Cao (INFOCOM, 2014)

Skeleton construction in mobile social networks: Algorithms and applications. - Zongqing Lu 002; Xiao Sun 010; Yonggang Wen 001; Guohong Cao (SECON, 2014)

Priority-Aware Private Matching Schemes for Proximity-Based Mobile Social Networks. - Ben Niu 001; Tanran Zhang; Xiaoyan Zhu 005; Hui Li 006; Zongqing Lu 002 (CoRR, 2014)

Distributed Algorithm for Tree-Structured Data Aggregation Service Placement in Smart Grid. - Zongqing Lu 002; Yonggang Wen 001 (IEEE Syst. J., 2014)

Exploring social structures for network protocol designs - Zongqing Lu 002 (2014)

SymDetector: detecting sound-related respiratory symptoms using smartphones. - Xiao Sun 010; Zongqing Lu 002; Wenjie Hu 002; Guohong Cao (UbiComp, 2015)

Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks. - Zongqing Lu 002; Jing Zhao 001; Yibo Wu; Guohong Cao (ICCCN, 2015)

A personalized two-tier cloaking scheme for privacy-aware location-based services. - Ben Niu 001; Xiaoyan Zhu 005; Weihao Li 004; Hui Li 006; Yingjuan Wang; Zongqing Lu 002 (ICNC, 2015)

Targeted vaccination based on a wireless sensor system. - Xiao Sun 010; Zongqing Lu 002; Xiaomei Zhang 001; Marcel Salathé; Guohong Cao (PerCom, 2015)

Algorithms and Applications for Community Detection in Weighted Networks. - Zongqing Lu 002; Xiao Sun 010; Yonggang Wen 001; Guohong Cao; Thomas La Porta (IEEE Trans. Parallel Distributed Syst., 2015)

Video processing of complex activity detection in resource-constrained networks. - Noor Felemban; Zongqing Lu 002; Thomas La Porta; Kevin S. Chan (GlobalSIP, 2016)

Protection of location privacy in continuous LBSs against adversaries with background information. - Ben Niu 001; Sheng Gao 002; Fenghua Li; Hui Li 006; Zongqing Lu 002 (ICNC, 2016)

On-demand video processing in wireless networks. - Zongqing Lu 002; Kevin S. Chan; Rahul Urgaonkar; Thomas La Porta (ICNP, 2016)

Cooperative data offloading in opportunistic mobile networks. - Zongqing Lu 002; Xiao Sun 010; Thomas La Porta (INFOCOM, 2016)

Networking smartphones for disaster recovery. - Zongqing Lu 002; Guohong Cao; Thomas La Porta (PerCom, 2016)

Infectious Disease Containment Based on a Wireless Sensor System. - Xiao Sun 010; Zongqing Lu 002; Xiaomei Zhang 001; Marcel Salathé; Guohong Cao (IEEE Access, 2016)

Towards Information Diffusion in Mobile Social Networks. - Zongqing Lu 002; Yonggang Wen 001; Weizhan Zhang; Qinghua Zheng; Guohong Cao (IEEE Trans. Mob. Comput., 2016)

On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract. - Zongqing Lu 002; Noor Felemban; Kevin S. Chan; Thomas La Porta (IoTDI, 2017)

Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. - Zongqing Lu 002; Swati Rallapalli; Kevin S. Chan; Thomas La Porta (ACM Multimedia, 2017)

TeamPhone: Networking SmartPhones for Disaster Recovery. - Zongqing Lu 002; Guohong Cao; Thomas La Porta (IEEE Trans. Mob. Comput., 2017)

Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure. - Zongqing Lu 002; Xiao Sun 010; Thomas La Porta (IEEE/ACM Trans. Netw., 2017)

Cluster-Aware Virtual Machine Collaborative Migration in Media Cloud. - Weizhan Zhang; Yuxuan Chen; Xiang Gao; Zhichao Mo; Qinghua Zheng; Zongqing Lu 002 (IEEE Trans. Parallel Distributed Syst., 2017)

A Computing Platform for Video Crowdprocessing Using Deep Learning. - Zongqing Lu 002; Kevin S. Chan; Thomas La Porta (INFOCOM, 2018)

Learning Attentional Communication for Multi-Agent Cooperation. - Jiechuan Jiang; Zongqing Lu 002 (NeurIPS, 2018)

Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. - Jiechuan Jiang; Chen Dun; Zongqing Lu 002 (CoRR, 2018)

Learning Fairness in Multi-Agent Systems. - Jiechuan Jiang; Zongqing Lu 002 (NeurIPS, 2019)

Heterogeneous Transfer Learning for Thermal Comfort Modeling. - Weizheng Hu; Yong Luo 002; Zongqing Lu 002; Yonggang Wen 001 (BuildSys, 2019)

CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning. - Zongqing Lu 002; Kevin S. Chan; Shiliang Pu; Thomas La Porta (IEEE Trans. Mob. Comput., 2019)

Generative Exploration and Exploitation. - Jiechuan Jiang; Zongqing Lu 002 (AAAI, 2020)

Graph Convolutional Reinforcement Learning. - Jiechuan Jiang; Chen Dun; Tiejun Huang 001; Zongqing Lu 002 (ICLR, 2020)

Learning Individually Inferred Communication for Multi-Agent Cooperation. - Ziluo Ding; Tiejun Huang 001; Zongqing Lu 002 (NeurIPS, 2020)

The Emergence of Individuality in Multi-Agent Reinforcement Learning. - Jiechuan Jiang; Zongqing Lu 002 (CoRR, 2020)

NetVision: On-Demand Video Processing in Wireless Networks. - Zongqing Lu 002; Kevin Chan 001; Rahul Urgaonkar; Shiliang Pu; Thomas La Porta (IEEE/ACM Trans. Netw., 2020)

Hierarchically and Cooperatively Learning Traffic Signal Control. - Bingyu Xu; Yaowei Wang 001; Zhaozhi Wang; Huizhu Jia; Zongqing Lu 002 (AAAI, 2021)

Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing. - Tong Qu; Yibo Lin; Zongqing Lu 002; Yajuan Su; Yayi Wei (DATE, 2021)

The Emergence of Individuality. - Jiechuan Jiang; Zongqing Lu 002 (ICML, 2021)

FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning. - Tianhao Zhang; Yueheng Li; Chen Wang 005; Guangming Xie; Zongqing Lu 002 (ICML, 2021)

Quality of Information in Gathering Information via Video Analytics for Military Networks. - Fidan Mehmeti; Noor Felemban; Zongqing Lu 002; Kristina Wheatman; Gregory H. Cirincione; Thomas F. La Porta (IEEE Commun. Mag., 2021)

Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. - Liwen Zhu 003; Peixi Peng; Zongqing Lu 002; Xiangqian Wang 001; Yonghong Tian 001 (CoRR, 2021)

Revisiting Prioritized Experience Replay: A Value Perspective. - Ang A. Li; Zongqing Lu 002; Chenglin Miao (CoRR, 2021)

Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions. - Yifan Yu 003; Haobin Jiang; Zongqing Lu 002 (CoRR, 2021)

Model-Based Opponent Modeling. - Xiaopeng Yu 001; Jiechuan Jiang; Haobin Jiang; Zongqing Lu 002 (CoRR, 2021)

Learning to Share in Multi-Agent Reinforcement Learning. - Yuxuan Yi; Ge Li 002; Yaowei Wang 001; Zongqing Lu 002 (CoRR, 2021)

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. - Huy Phan; Oliver Y. Chén; Philipp Koch; Zongqing Lu 002; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2021)

PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks. - Noor Felemban; Fidan Mehmeti; Hana Khamfroush; Zongqing Lu 002; Swati Rallapalli; Kevin S. Chan; Thomas La Porta (IEEE Trans. Mob. Comput., 2021)

Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices. - Zongqing Lu 002; Swati Rallapalli; Kevin Chan 001; Shiliang Pu; Thomas La Porta (IEEE Trans. Mob. Comput., 2021)

Difference Advantage Estimation for Multi-Agent Policy Gradients. - Yueheng Li; Guangming Xie; Zongqing Lu 002 (ICML, 2022)

Divergence-Regularized Multi-Agent Actor-Critic. - Kefan Su; Zongqing Lu 002 (ICML, 2022)

Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. - Haoqi Yuan; Zongqing Lu 002 (ICML, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. - Yuanpei Chen; Tianhao Wu 001; Shengjie Wang; Xidong Feng; Jiechuan Jiang; Zongqing Lu 002; Stephen McAleer; Hao Dong 003; Song-Chun Zhu; Yaodong Yang 001 (NeurIPS, 2022)

I2Q: A Fully Decentralized Q-Learning Algorithm. - Jiechuan Jiang; Zongqing Lu 002 (NeurIPS, 2022)

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. - Jiafei Lyu; Xiu Li 001; Zongqing Lu 002 (NeurIPS, 2022)

Mildly Conservative Q-Learning for Offline Reinforcement Learning. - Jiafei Lyu; Xiaoteng Ma; Xiu Li 001; Zongqing Lu 002 (NeurIPS, 2022)

Learning to Share in Networked Multi-Agent Reinforcement Learning. - Yuxuan Yi; Ge Li 002; Yaowei Wang 001; Zongqing Lu 002 (NeurIPS, 2022)

Model-Based Opponent Modeling. - Xiaopeng Yu 001; Jiechuan Jiang; Wanpeng Zhang 002; Haobin Jiang; Zongqing Lu 002 (NeurIPS, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. - Yuanpei Chen; Yaodong Yang 001; Tianhao Wu 001; Shengjie Wang; Xidong Feng; Jiechuang Jiang; Stephen Marcus McAleer; Hao Dong 003; Zongqing Lu 002; Song-Chun Zhu (CoRR, 2022)

MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning. - Kefan Su; Siyuan Zhou; Chuang Gan 001; Xiangjun Wang; Zongqing Lu 002 (CoRR, 2022)

Multi-Agent Sequential Decision-Making via Communication. - Ziluo Ding; Kefan Su; Weixin Hong; Liwen Zhu 003; Tiejun Huang 001; Zongqing Lu 002 (CoRR, 2022)

Decentralized Policy Optimization. - Kefan Su; Zongqing Lu 002 (CoRR, 2022)

Asynchronous Reinforcement Learning Framework and Knowledge Transfer for Net-Order Exploration in Detailed Routing. - Yibo Lin; Tong Qu; Zongqing Lu 002; Yajuan Su; Yayi Wei (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. - Jiechuan Jiang; Zongqing Lu 002 (AAAI, 2023)

Multi-Agent Language Learning: Symbolic Mapping. - Yicheng Feng; Zongqing Lu 002 (ACL (Findings), 2023)

Adaptive Learning Rates for Multi-Agent Reinforcement Learning. - Jiechuan Jiang; Zongqing Lu 002 (AAMAS, 2023)

Multi-Agent Automated Machine Learning. - Zhaozhi Wang; Kefan Su; Jian Zhang; Huizhu Jia; Qixiang Ye; Xiaodong Xie; Zongqing Lu 002 (CVPR, 2023)

Offline Decentralized Multi-Agent Reinforcement Learning. - Jiechuan Jiang; Zongqing Lu 002 (ECAI, 2023)

ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo. - Jun Hoong Chan; Bohan Yu; Heng Guo 003; Jieji Ren; Zongqing Lu 002; Boxin Shi (ICCV, 2023)

State Advantage Weighting for Offline RL. - Jiafei Lyu; Aicheng Gong; Le Wan; Zongqing Lu 002; Xiu Li 001 (Tiny Papers @ ICLR, 2023)

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. - Jiangxing Wang; Deheng Ye; Zongqing Lu 002 (ICLR, 2023)

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

Mutual-Information Regularized Multi-Agent Policy Iteration. - Jiangxing Wang; Deheng Ye; Zongqing Lu 002 (NeurIPS, 2023)

Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. - Bohan Zhou; Ke Li; Jiechuan Jiang; Zongqing Lu 002 (NeurIPS, 2023)

Model-Based Decentralized Policy Optimization. - Hao Luo 011; Jiechuan Jiang; Zongqing Lu 002 (CoRR, 2023)

CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. - Ziluo Ding; Hao Luo 011; Ke Li; Junpeng Yue; Tiejun Huang 001; Zongqing Lu 002 (CoRR, 2023)

Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. - Haoqi Yuan; Chi Zhang; Hongcheng Wang; Feiyang Xie; Penglin Cai; Hao Dong 003; Zongqing Lu 002 (CoRR, 2023)

RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. - Wanpeng Zhang 002; Zongqing Lu 002 (CoRR, 2023)

A Survey on Transformers in Reinforcement Learning. - Wenzhe Li; Hao Luo 011; Zichuan Lin; Chongjie Zhang; Zongqing Lu 002; Deheng Ye (Trans. Mach. Learn. Res., 2023)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. - Liwen Zhu 003; Peixi Peng; Zongqing Lu 002; Yonghong Tian 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning Multi-Object Positional Relationships via Emergent Communication. - Yicheng Feng; Boshi An; Zongqing Lu 002 (AAAI, 2024)

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. - Haobin Jiang; Ziluo Ding; Zongqing Lu 002 (AAAI, 2024)

Language Model Adaption for Reinforcement Learning with Natural Language Action Space. - Jiangxing Wang; Jiachen Li; Xiao Han; Deheng Ye; Zongqing Lu 002 (ACL (1), 2024)

Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. - Jiafei Lyu; Le Wan; Xiu Li 001; Zongqing Lu 002 (AAMAS, 2024)

Multi-Agent Alternate Q-Learning. - Kefan Su; Siyuan Zhou; Jiechuan Jiang; Chuang Gan 001; Xiangjun Wang; Zongqing Lu 002 (AAMAS, 2024)

Visual Grounding for Object-Level Generalization in Reinforcement Learning. - Haobin Jiang; Zongqing Lu 002 (ECCV (30), 2024)

Reinforcement Learning Friendly Vision-Language Model for Minecraft. - Haobin Jiang; Junpeng Yue; Hao Luo 011; Ziluo Ding; Zongqing Lu 002 (ECCV (68), 2024)

Pre-trained Visual Dynamics Representations for Efficient Policy Learning. - Hao Luo 011; Bohan Zhou; Zongqing Lu 002 (ECCV (81), 2024)

UniCode: Learning a Unified Codebook for Multimodal Large Language Models. - Sipeng Zheng; Bohan Zhou; Yicheng Feng; Ye Wang; Zongqing Lu 002 (ECCV (8), 2024)

SEABO: A Simple Search-Based Method for Offline Imitation Learning. - Jiafei Lyu; Xiaoteng Ma; Le Wan; Runze Liu 002; Xiu Li 001; Zongqing Lu 002 (ICLR, 2024)

Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. - Haoqi Yuan; Zhancun Mu; Feiyang Xie; Zongqing Lu 002 (ICLR, 2024)

Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. - Sipeng Zheng; Jiazheng Liu; Yicheng Feng; Zongqing Lu 002 (ICLR, 2024)

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. - Wanpeng Zhang 002; Yilin Li; Boyu Yang 003; Zongqing Lu 002 (ICML, 2024)

Cross-Domain Policy Adaptation by Capturing Representation Mismatch. - Jiafei Lyu; Chenjia Bai; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICML, 2024)

LLaMA-Rider: Spurring Large Language Models to Explore the Open World. - Yicheng Feng; Yuxuan Wang; Jiazheng Liu; Sipeng Zheng; Zongqing Lu 002 (NAACL-HLT (Findings), 2024)

AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. - Wanpeng Zhang 002; Zongqing Lu 002 (NAACL-HLT (Findings), 2024)

Multi-Agent Coordination via Multi-Level Communication. - Gang Ding; Zeyuan Liu; Zhirui Fang; Kefan Su; Liwen Zhu 003; Zongqing Lu 002 (NeurIPS, 2024)

RL-GPT: Integrating Reinforcement Learning and Code-as-policy. - Shaoteng Liu; Haoqi Yuan; Minda Hu; Yanwei Li; Yukang Chen; Shu Liu 005; Zongqing Lu 002; Jiaya Jia (NeurIPS, 2024)

ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. - Jiafei Lyu; Kang Xu; Jiacheng Xu 003; Mengbei Yan; Jingwen Yang; Zongzhang Zhang; Chenjia Bai; Zongqing Lu 002; Xiu Li 001 (NeurIPS, 2024)

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. - Kefan Su; Yusen Huo; Zhilin Zhang 003; Shuai Dou; Chuan Yu; Jian Xu 015; Zongqing Lu 002; Bo Zheng 007 (NeurIPS, 2024)

Opponent Modeling based on Subgoal Inference. - Xiaopeng Yu 001; Jiechuan Jiang; Zongqing Lu 002 (NeurIPS, 2024)

Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation. - Haoqi Yuan; Yuhui Fu 004; Feiyang Xie; Zongqing Lu 002 (NeurIPS, 2024)

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. - Jiechuan Jiang; Kefan Su; Zongqing Lu 002 (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 003; Bohan Zhou; Junpeng Yue; Haochong Xia; Jiechuan Jiang; Longtao Zheng; Xinrun Xu; Yifei Bi; Pengjie Gu; et al. (CoRR, 2024)

MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. - Liwen Zhu 003; Peixi Peng; Zongqing Lu 002; Yonghong Tian 001 (CoRR, 2024)

NOLO: Navigate Only Look Once. - Bohan Zhou; Jiangxing Wang; Zongqing Lu 002 (CoRR, 2024)

Egocentric Vision Language Planning. - Zhirui Fang; Ming Yang; Weishuai Zeng; Boyu Li 003; Junpeng Yue; Ziluo Ding; Xiu Li 001; Zongqing Lu 002 (CoRR, 2024)

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations. - Bohan Zhou; Haoqi Yuan; Yuhui Fu 004; Zongqing Lu 002 (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 002 (CoRR, 2024)

Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models. - Ye Wang; Sipeng Zheng; Bin Cao; Qianshan Wei; Qin Jin; Zongqing Lu 002 (CoRR, 2024)

VideoOrion: Tokenizing Object Dynamics in Videos. - Yicheng Feng; Yijiang Li; Wanpeng Zhang 002; Sipeng Zheng; Zongqing Lu 002 (CoRR, 2024)

Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games. - Wenye Lin; Jonathan Roberts 004; Yunhan Yang; Samuel Albanie; Zongqing Lu 002; Kai Han 001 (CoRR, 2024)

Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. - Jiafei Lyu; Le Wan; Xiu Li 001; Zongqing Lu 002 (Inf. Sci., 2024)

Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. - Jiafei Lyu; Le Wan; Xiu Li 001; Zongqing Lu 002 (J. Artif. Intell. Res., 2024)

A Fully Decentralized Surrogate for Multi-Agent Policy Optimization. - Kefan Su; Zongqing Lu 002 (Trans. Mach. Learn. Res., 2024)

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. - Yuanpei Chen; Yiran Geng; Fangwei Zhong; Jiaming Ji; Jiechuang Jiang; Zongqing Lu 002; Hao Dong 003; Yaodong Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

GAMEBoT: Transparent Assessment of LLM Reasoning in Games. - Wenye Lin; Jonathan Roberts 004; Yunhan Yang; Samuel Albanie; Zongqing Lu 002; Kai Han 001 (ACL (1), 2025)

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. - Wanpeng Zhang 002; Zilong Xie; Yicheng Feng; Yijiang Li; Xingrun Xing; Sipeng Zheng; Zongqing Lu 002 (ICLR, 2025)

Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. - Ziye Huang; Haoqi Yuan; Yuhui Fu 004; Zongqing Lu 002 (ICLR, 2025)

Discrete Latent Plans via Semantic Skill Abstractions. - Haobin Jiang; Jiangxing Wang; Zongqing Lu 002 (ICLR, 2025)

Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer. - Hao Luo 011; Zongqing Lu 002 (ICLR, 2025)

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. - Jiafei Lyu; Mengbei Yan; Zhongjian Qiao; Runze Liu 002; Xiaoteng Ma; Deheng Ye; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICLR, 2025)

Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy. - Jiangxing Wang; Zongqing Lu 002 (ICLR, 2025)

Cross-Embodiment Dexterous Grasping with Reinforcement Learning. - Haoqi Yuan; Bohan Zhou; Yuhui Fu 004; Zongqing Lu 002 (ICLR, 2025)

MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. - Junpeng Yue; Xinrun Xu; Börje F. Karlsson; Zongqing Lu 002 (ICLR, 2025)

LLM-Based Explicit Models of Opponents for Multi-Agent Games. - Xiaopeng Yu 001; Wanpeng Zhang 002; Zongqing Lu 002 (NAACL (Long Papers), 2025)

Creative Agents: Empowering Agents with Imagination for Creative Tasks. - Penglin Cai; Chi Zhang; Yuhui Fu 004; Haoqi Yuan; Zongqing Lu 002 (UAI, 2025)

Best Possible Q-Learning. - Jiechuan Jiang; Zongqing Lu 002 (UAI, 2025)

f-Divergence Policy Optimization in Fully Decentralized Cooperative MARL. - Kefan Su; Zongqing Lu 002 (Trans. Mach. Learn. Res., 2025)

CORD: Generalizable Cooperation via Role Diversity. - Kanefumi Matsuyama; Kefan Su; Jiangxing Wang; Deheng Ye; Zongqing Lu 002 (CoRR, 2025)

Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning. - Jiazheng Liu; Sipeng Zheng; Börje F. Karlsson; Zongqing Lu 002 (CoRR, 2025)

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training. - Tong Wei; Yijun Yang; Junliang Xing; Yuanchun Shi; Zongqing Lu 002; Deheng Ye (CoRR, 2025)

Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills. - Haoqi Yuan; Yu Bai; Yuhui Fu 004; Bohan Zhou; Yicheng Feng; Xinrun Xu; Yi Zhan; Börje F. Karlsson; Zongqing Lu 002 (CoRR, 2025)

JAEGER: Dual-Level Humanoid Whole-Body Controller. - Ziluo Ding; Haobin Jiang; Yuxuan Wang; Zhenguo Sun; Yu Zhang; Xiaojie Niu; Ming Yang; Weishuai Zeng; Xinrun Xu; Zongqing Lu 002 (CoRR, 2025)

Guided Policy Optimization under Partial Observability. - Yueheng Li; Guangming Xie; Zongqing Lu 002 (CoRR, 2025)

MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation. - Bohan Zhou; Yi Zhan; Zhongbin Zhang; Zongqing Lu 002 (CoRR, 2025)

RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control. - Junpeng Yue; Zepeng Wang; Yuxuan Wang; Weishuai Zeng; Jiangxing Wang; Xinrun Xu; Yu Zhang; Sipeng Zheng; Ziluo Ding; Zongqing Lu 002 (CoRR, 2025)

From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots. - Yuxuan Wang; Ming Yang; Weishuai Zeng; Yu Zhang; Xinrun Xu; Haobin Jiang; Ziluo Ding; Zongqing Lu 002 (CoRR, 2025)

DualTHOR: A Dual-Arm Humanoid Simulation Platform for Contingency-Aware Planning. - Boyu Li 003; Siyuan He; Hang Xu; Haoqi Yuan; Yu Zang; Liwei Hu; Junpeng Yue; Zhenxiong Jiang; Pengbo Hu; Börje F. Karlsson; Yehui Tang; Zongqing Lu 002 (CoRR, 2025)

Unified Multimodal Understanding via Byte-Pair Visual Encoding. - Wanpeng Zhang 002; Yicheng Feng; Hao Luo 011; Yijiang Li; Zihao Yue; Sipeng Zheng; Zongqing Lu 002 (CoRR, 2025)

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos. - Hao Luo 011; Yicheng Feng; Wanpeng Zhang 002; Sipeng Zheng; Ye Wang; Haoqi Yuan; Jiazheng Liu; Chaoyi Xu; Qin Jin; Zongqing Lu 002 (CoRR, 2025)

Multi-Agent Guided Policy Optimization. - Yueheng Li; Guangming Xie; Zongqing Lu 002 (CoRR, 2025)