Selected Publications

Preprints

Best Possible Q-Learning

Jiechuan Jiang and Zongqing Lu

arXiv:2302.01188

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Conferences

[NeurIPS'24] Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation

Haoqi Yuan, Yuhui Fu, Feiyang Xie, and Zongqing Lu

Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, 2024. (Acceptance Rate: 25.8%)

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[NeurIPS'24] A Novel Benchmark for Decision-Making in Uncertain and Competitive Games

Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, and Bo Zheng

Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, Dec. 9-15, 2024. (Acceptance Rate: 25.3%, spotlight)

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[NeurIPS'24] Multi-Agent Coordination via Multi-Level Communication

Ziluo Ding, Zeyuan Liu, Zhirui Fang, Kefan Su, Liwen Zhu, and Zongqing Lu

Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, 2024. (Acceptance Rate: 25.8%)

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[NeurIPS'24] ODRL: A Benchmark for Off-Dynamics Reinforcement Learning

Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jing-Wen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, and Xiu Li

Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, Dec. 9-15, 2024. (Acceptance Rate: 25.3%)

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[NeurIPS'24] Opponent Modeling based on Subgoal Inference

Xiaopeng Yu, Jiechuan Jiang, and Zongqing Lu

Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, 2024. (Acceptance Rate: 25.8%)

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[NeurIPS'24] RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, and Jiaya Jia

Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, 2024. (Acceptance Rate: 25.8%, oral)

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[ECCV'24] UniCode: Learning a Unified Codebook for Multimodal Large Language Models

Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, and Zongqing Lu

European Conference on Computer Vision (ECCV), Sep. 29- Oct. 4, 2024.

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[ECCV'24] Visual Grounding for Object-Level Generalization in Reinforcement Learning

Haobin Jiang and Zongqing Lu

European Conference on Computer Vision (ECCV), Sep. 29- Oct. 4, 2024.

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[ECCV'24] Pre-Trained Visual Dynamics Representations for Efficient Policy Learning

Hao Luo, Bohan Zhou, and Zongqing Lu

European Conference on Computer Vision (ECCV), Sep. 29- Oct. 4, 2024.

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[ECCV'24] Reinforcement Learning Friendly Vision-Language Model for Minecraft

Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, and Zongqing Lu

European Conference on Computer Vision (ECCV), Sep. 29- Oct. 4, 2024.

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[ACL'24] Language Model Adaption for Reinforcement Learning with Natural Language Action Space

Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, and Zongqing Lu

Annual Meeting of the Association for Computational Linguistics, August 11-16, 2024.

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[ICML'24] Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Jiafei Lyu, Chenjia Bai, Jing-Wen Yang, Zongqing Lu, and Xiu Li

Forty-first International Conference on Machine Learning (ICML), July 21-27, 2024 (Acceptance Rate: 27.5%=²⁶⁰⁹⁄₉₄₇₃)

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[ICML'24] Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

Wanpeng Zhang, Yilin Li, Boyu Yang, and Zongqing Lu

Forty-first International Conference on Machine Learning (ICML), July 21-27, 2024 (Acceptance Rate: 27.5%=²⁶⁰⁹⁄₉₄₇₃)

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[NAACL'24] AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback

Wanpeng Zhang and Zongqing Lu

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Findings, June 16–21, 2024.

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[NAACL'24] LLaMA Rider: Spurring Large Language Models to Explore the Open World

Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, and Zongqing Lu

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Findings, June 16–21, 2024.

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[ICLR'24] Pre-Training Goal-Based Models for Sample-Efficient Reinforcement Learning

Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu

Eighth International Conference on Learning Representations (ICLR), May 7-11, 2024. (Acceptance Rate: 1.2%, oral)

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[ICLR'24] SEABO: A Simple Search-Based Method for Offline Imitation Learning

Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu

Eighth International Conference on Learning Representations (ICLR), May 7-11, 2024. (Acceptance Rate: 31%)

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[ICLR'24] Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds

Sipeng Zheng, Jiazheng Liu, Yicheng Feng, and Zongqing Lu

Eighth International Conference on Learning Representations (ICLR), May 7-11, 2024. (Acceptance Rate: 31%)

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[AAMAS'24] Multi-Agent Alternate Q-Learning

Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, and Zongqing Lu

Twenty-Third International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 6-10. (Acceptance Rate: 25%=²²⁹⁄₈₈₃)

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[AAMAS'24] Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning

Jiafei Lyu, Le Wan, Xiu Li, and Zongqing Lu

Twenty-Third International Conference on Autonomous Agents and Multiagent Systems (AAMAS), extended abstract, May 6-10.

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[AAAI'24] Learning Multi-Object Positional Relationships via Emergent Communication

Yicheng Feng, Boshi An, and Zongqing Lu

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), February 20-27, 2024 (Acceptance Rate: 23.75%=²³⁴²⁄₉₈₆₂)

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[AAAI'24] Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing

Haobin Jiang, Ziluo Ding, and Zongqing Lu

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), February 20-27, 2024 (Acceptance Rate: 23.75%=²³⁴²⁄₉₈₆₂)

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[NeurIPS'23] Learning from Visual Observation via Offline Pretrained State-to-Go Transformer

Bohan Zhou, Ke Li, Jiechuan Jiang, and Zongqing Lu

Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), Dec. 10-16, 2023. (Acceptance Rate: 26.1%=³²²¹⁄₁₂₃₄₃)

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[NeurIPS'23] Mutual-Information Regularized Multi-Agent Policy Iteration

Jiangxing Wang, Deheng Ye, and Zongqing Lu

Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), Dec. 10-16, 2023. (Acceptance Rate: 26.1%=³²²¹⁄₁₂₃₄₃)

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[ICCV'23] ReLeaPS: Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo

Junhoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, and Boxin Shi

International Conference on Computer Vision (ICCV), October 2-6, 2023.

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[ECAI'23] Offline Decentralized Multi-Agent Reinforcement Learning

Jiechuan Jiang and Zongqing Lu

26th European Conference on Artificial Intelligence (ECAI), Sept. 30-Oct. 4, 2023. (Acceptance Rate: 24%=³⁹¹⁄₁₆₃₁)

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[ACL'23] Multi-Agent Language Learning: Symbolic Mapping

Yicheng Feng and Zongqing Lu

61st Annual Meeting of the Association for Computational Linguistics (ACL), Findings, July 9-14, 2023.

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[ICML'23] Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning

Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, and Zongqing Lu

Fortieth International Conference on Machine Learning (ICML), July 23-29, 2023. (Acceptance Rate: 27.9%=¹⁸²⁷⁄₆₅₃₈)

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[CVPR'23] Multi-Agent Automated Machine Learning

Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, and Zongqing Lu

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Jun 18-22, 2023. (Acceptance Rate: 25.78%=²³⁶⁰⁄₉₁₅₅)

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[ICLR'23] State Advantage Weighting for Offline RL

Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, and Xiu Li

Eleventh International Conference on Learning Representations (ICLR), Tiny Papers, May 1-5, 2023.

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[ICLR'23] More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

Jiangxing Wang, Deheng Ye, and Zongqing Lu

Eleventh International Conference on Learning Representations (ICLR), May 1-5, 2023.

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[AAMAS'23] Adaptive Learning Rates for Multi-Agent Reinforcement Learning

Jiechuan Jiang and Zongqing Lu

Twenty-Second International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 29 - June 2, 2023. (Acceptance Rate: 23%=²³⁷⁄₁₀₁₅)

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[AAAI'23] Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning

Jiechuan Jiang and Zongqing Lu

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), February 7-14, 2023. (Acceptance Rate: 19%=¹⁷²¹⁄₈₇₇₇)

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[NIPS'22] I2Q: A Fully Decentralized Q-Learning Algorithm

Jiechuan Jiang and Zongqing Lu

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), November 28 - December 9, 2022. (Acceptance Rate: 25.6%=²⁶⁶⁵⁄₁₀₄₁₁)

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[NIPS'22] Model-Based Opponent Modeling

Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, and Zongqing Lu

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), November 28 - December 9, 2022. (Acceptance Rate: 25.6%=²⁶⁶⁵⁄₁₀₄₁₁)

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[NIPS'22] Mildly Conservative Q-Learning for Offline Reinforcement Learning

Jiafei Lyu, Xiaoteng Ma, Xiu Li, and Zongqing Lu

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), November 28 - December 9, 2022. (Acceptance Rate: 25.6%=²⁶⁶⁵⁄₁₀₄₁₁, spotlight)

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[NIPS'22] Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

Jiafei Lyu, Xiu Li, and Zongqing Lu

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), November 28 - December 9, 2022. (Acceptance Rate: 25.6%=²⁶⁶⁵⁄₁₀₄₁₁, spotlight)

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[NIPS'22] Learning to Share in Multi-Agent Reinforcement Learning

Yuxuan Yi, Ge Li, Yaowei Wang, and Zongqing Lu

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), November 28 - December 9, 2022. (Acceptance Rate: 25.6%=²⁶⁶⁵⁄₁₀₄₁₁)

Details PDF Code Dataset Project Best Cooperative AI Paper Award ICLR’22 Workshop on GamificationMAS ICLR'22 Workshop on Cells2Societies (oral)

[NIPS'22] Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu, and Yaodong Yang

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), November 28 - December 9, 2022.

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[ICML'22] Divergence-Regularized Multi-Agent Actor-Critic

Kefan Su and Zongqing Lu

Thirty-Ninth International Conference on Machine Learning (ICML), July 17-23, 2022 (Acceptance Rate: 22%=¹²³⁵⁄₅₆₃₀)

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[ICML'22] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning

Haoqi Yuan and Zongqing Lu

Thirty-Ninth International Conference on Machine Learning (ICML), July 17-23, 2022 (Acceptance Rate: 22%=¹²³⁵⁄₅₆₃₀)

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[ICML'22] Difference Advantage Estimation for Multi-Agent Policy Gradients

Yueheng Li, Guangming Xie, and Zongqing Lu

Thirty-Ninth International Conference on Machine Learning (ICML), July 17-23, 2022 (Acceptance Rate: 22%=¹²³⁵⁄₅₆₃₀)

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[ICML'21] The Emergence of Individuality

Jiechuan Jiang and Zongqing Lu

Thirty-Eighth International Conference on Machine Learning (ICML), July 18-24, 2021 (Acceptance Rate: 3%=¹⁶⁶⁄₅₅₁₃, oral presentation)

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[ICML'21] FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning

Tianhao Zhang, Yueheng Li, Chen Wang, Guangming Xie and Zongqing Lu

Thirty-Eighth International Conference on Machine Learning (ICML), July 18-24, 2021 (Acceptance Rate: 21%=¹¹⁸⁴⁄₅₅₁₃)

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[AAAI'21] Hierarchically and Cooperatively Learning Traffic Signal Control

Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, and Zongqing Lu

Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), February 2-9, 2021. (Acceptance Rate: 21%=¹⁶⁹²⁄₇₉₁₁)

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[DATE'21] Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing

Tong Qu, Yibo Lin, Zongqing Lu, Yajun Su, and Yayi Wei

Design, Automation and Test in Europe Conference (DATE), February 1-5, 2021.

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[NIPS'20] Learning Individually Inferred Communication for Multi-Agent Cooperation

Ziluo Ding, Tiejun Huang, and Zongqing Lu

Thirty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), December 6-12, 2020. (Acceptance Rate: 1%=¹⁰⁵⁄₉₄₅₄, oral)

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[ICLR'20] Graph Convolutional Reinforcement Learning

Jiechuan Jiang, Chen Dun, Tiejun Huang and Zongqing Lu

International Conference on Learning Representation (ICLR), April 26-30, 2020. (Acceptance Rate: 26.5%=⁶⁸⁷⁄₂₅₉₄)

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[AAAI'20] Generative Exploration and Exploitation

Jiechuan Jiang and Zongqing Lu

Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), February 7-12, 2020. (Acceptance Rate: 21%=¹⁵⁹¹⁄₇₇₃₇)

Details PDF Project ICML'19 Workshop on ERL (Spotlight Talk)

[NIPS'19] Learning Fairness in Multi-Agent Systems

Jiechuan Jiang and Zongqing Lu

Thirty-Third Annual Conference on Neural Information Processing Systems (NIPS), December 8-14, 2019. (Acceptance Rate: 21%=¹⁴²⁸⁄₆₇₄₃)

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[BuildSys'19] Heterogeneous Transfer Learning for Thermal Comfort Modeling

Weizheng Hu, Yong Luo, Zongqing Lu, and Yonggang Wen

In Proceedings of ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), November 13-14, 2019. (Acceptance Rate: 31%=⁴⁰⁄₁₃₁)

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[NIPS'18] Learning Attentional Communication for Multi-Agent Cooperation

Jiechuan Jiang and Zongqing Lu

Thirty-Second Annual Conference on Neural Information Processing Systems (NIPS), December 3-8, 2018. (Acceptance Rate: 21%=¹⁰¹¹⁄₄₈₅₆)

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[INFOCOM'18] A Computing Platform for Video Crowdprocessing Using Deep Learning

Zongqing Lu, Kevin Chan, and Thomas La Porta

In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), April 15-19, 2018. (Acceptance Rate: 19%=³⁰⁹⁄₁₆₀₆)

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[MM'17] Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices

Zongqing Lu, Swati Rallapalli, Kevin Chan, and Thomas La Porta

In Proceedings of ACM International Conference on Multimedia (MM), October 23-27, 2017. (Acceptance Rate: 28%=¹⁹¹⁄₆₇₅)

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[ICNP'16] On-demand Video Processing in Wireless Networks

Zongqing Lu, Kevin Chan, Rahul Urgaonkar, and Thomas La Porta

In Proceedings of IEEE International Conference on Network Protocols (ICNP), November 8-11, 2016. (Acceptance Rate: 20%=⁴⁶⁄₂₂₉)

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[INFOCOM'16] Cooperative Data Offloading in Opportunistic Mobile Networks

Zongqing Lu, Xiao Sun, and Thomas La Porta

In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), April 10-15, 2016. (Acceptance Rate: 18%=³⁰⁰⁄₁₆₄₄)

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[PerCom'16] Networking Smartphones for Disaster Recovery

Zongqing Lu, Guohong Cao, and Thomas La Porta

In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), March 14-18, 2016. (Acceptance Rate: 12%=²⁰⁄₁₆₈)

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[UbiComp'15] SymDetector: Detecting Sound-Related Respiratory Symptoms Using Smartphones

Xiao Sun, Zongqing Lu, Wenjie Hu, and Guohong Cao

In Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), September 7-11, 2015. (Acceptance Rate: 24%=⁹³⁄₃₉₄)

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[ICCCN'15] Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks

Zongqing Lu, Jing Zhao, Yibo Wu, and Guohong Cao

In Proceedings of International Conference on Computer Communications and Networks (ICCCN), August 3-6, 2015. (Acceptance Rate: 25%=⁸⁸⁄₃₅₂)

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[PerCom'15] Targeted Vaccination Based on a Wireless Sensor System

Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathe, and Guohong Cao

In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), March 23-27, 2015. (Acceptance Rate: 15%=²⁹⁄₁₉₆)

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[SECON'14] Skeleton Construction in in Mobile Social Networks: Algorithms and Applications

Zongqing Lu, Xiao Sun, Yonggang Wen, and Guohong Cao

In Proceedings of IEEE International Conference on Sensing, Communication and Networking (SECON), June 30-July 3, 2014. (Acceptance Rate: 20%=⁶⁸⁄₃₄₂)

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[INFOCOM'14] Information Diffusion in Mobile Social Networks: The Speed Perspective

Zongqing Lu, Yonggang Wen, and Guohong Cao

In Proceedings of IEEE International Conference on Computer Communicaitons (INFOCOM), April 27-May 2, 2014. (Acceptance Rate: 19%=³²⁰⁄₁₆₄₅)

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[PerCom'13] Community Detection in Weighted Networks: Algorithms and Applications

Zongqing Lu, Yonggang Wen, and Guohong Cao

In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), March 18-22, 2013. (Acceptance Rate: 15%=²⁰⁄₁₆₈)

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Journals

[JAIR] Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence

Jiafei Lyu, Le Wan, Xiu Li, and Zongqing Lu

Journal of Artificial Intelligence Research (JAIR), 2024

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[TMLR] A Fully Decentralized Surrogate for Multi-Agent Policy Optimization

Kefan Su and Zongqing Lu

Transactions on Machine Learning Research (TMLR), 2024

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[TPAMI] Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation

Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

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[TMLR] A Survey on Transformers in Reinforcement Learning

Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, and Deheng Ye

Transactions on Machine Learning Research (TMLR), 2023.

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[TKDE] MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control

Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian

IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 11, pp 11570-11584, 2023.

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[TCAD] Asynchronous Reinforcement Learning Framework and Knowledge Transfer for Net Order Exploration in Detailed Routing

Yibo Lin, Tong Qu, Zongqing Lu, Yajun Su, and Yayi Wei

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol 41, no. 9, pp 3132 - 3142, 2022

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[TBME] Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

Huy Phan, Oliver Chen, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, and Maarten De Vos

IEEE Transactions on Biomedial Engineering, vol. 68, no. 6, pp. 1787-1798, 2021.

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[TMC] PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks

Noor Felemban, Fidan Mehmeti, Hana Khamfroush, Zongqing Lu, Swati Rallapalli, Kevin Chan, and Thomas La Porta

IEEE Transactions on Mobile Computing, vol. 20, no. 4, pp. 1574-1589, 2021.

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[TMC] Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices

Zongqing Lu, Swati Rallapalli, Kevin Chan, Shiliang Pu, and Thomas La Porta

IEEE Transactions on Mobile Computing, vol. 20, no. 2, pp. 352-365, 2021

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[TON] NetVision: On-demand Video Processing in Wireless Networks

Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, and Thomas La Porta

IEEE/ACM Transactions on Networking, vol 28, no. 1, pp. 196-209, 2020

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[TMC] CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning

Zongqing Lu, Kevin Chan, Shiliang Pu, and Thomas La Porta

IEEE Transactions on Mobile Computing, vol.18, no. 7, pp. 1513-1526, 2019

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[TON] Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure

Zongqing Lu, Xiao Sun, and Thomas La Porta

IEEE/ACM Transactions on Networking, vol. 25, no. 6, pp. 3382-3395, 2017.

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[TMC] TeamPhone: Networking Smartphones for Disaster Recovery

Zongqing Lu, Guohong Cao, and Thomas La Porta

IEEE Transactions on Mobile Computing, vol. 16, no. 12, pp. 3554-3567, 2017.

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[TMC] Towards Information Diffusion in Mobile Social Networks

Zongqing Lu, Yonggang Wen, Weizhan Zhang, Qinghua Zheng, and Guohong Cao

IEEE Transactions on Mobile Computing, vol. 15, no. 5, pp. 1292-1304, 2016.

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[TPDS] Algorithms and Applications for Community Detection in Weighted Networks

Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao, and Thomas La Porta

IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 4, pp. 2916-2916, 2015.

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[JSAC] Toward Efficient Distributed Algorithms for In-network Binary Operator Tree Placement in Wireless Sensor Networks

Zongqing Lu, Yonggang Wen, Fan Rui, Su-Lim Tan, and Jit Biswas

IEEE Journal on Selected Areas in Communications, vol. 31, no. 4, pp. 743-755, 2013.

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Workshops

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study

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, and Zongqing Lu

ICLR 2024 Workshop on LLM Agents.

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Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks

Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu

NeurIPS 2023 Workshop on Foundation Models for Decision Making.

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MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control

Liwen Zhu, Peixi Peng, Zongqing Lu, and Yonghong Tian

ICLR 2022 Workshop on Gamification and Multiagent Solutions.

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