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ORCIDZongqing Lu 0002
Person information
- affiliation: Peking University, Beijing, China
- affiliation: Pennsylvania State Universityeking University, PA, USA
- affiliation: Nanyang Technological University, Singapore
Other persons with the same name
- Zongqing Lu — disambiguation page
- Zongqing Lu 0001
![[0000-0002-1191-9069]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1191-9069")
— Tsinghua University, China - Zongqing Lu 0003 — Xidian University, Xi'an, Shannxi, China
- Zongqing Lu 0004 — South-East University, Nanjing, Jiangsu, China
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2020 – today
- 2025
[i70]Kanefumi Matsuyama, Kefan Su, Jiangxing Wang, Deheng Ye, Zongqing Lu:
CORD: Generalizable Cooperation via Role Diversity. CoRR abs/2501.02221 (2025)- [i69]Jiazheng Liu, Sipeng Zheng, Börje F. Karlsson, Zongqing Lu:
Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning. CoRR abs/2503.07002 (2025) - [i68]Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye:
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training. CoRR abs/2503.08525 (2025) - [i67]Haoqi Yuan, Yu Bai, Yuhui Fu, Bohan Zhou, Yicheng Feng, Xinrun Xu, Yi Zhan, Börje F. Karlsson, Zongqing Lu:
Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills. CoRR abs/2503.12533 (2025) - 2024
- [j24]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. Inf. Sci. 666: 120371 (2024) - [j23]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. J. Artif. Intell. Res. 81: 1-42 (2024) - [j22]Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang:
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2804-2818 (2024) - [j21]Kefan Su, Zongqing Lu:
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [c72]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. AAAI 2024: 17371-17379 - [c71]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI 2024: 17444-17452 - [c70]Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu:
Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) 2024: 1620-1634 - [c69]Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu:
Multi-Agent Alternate Q-Learning. AAMAS 2024: 1791-1799 - [c68]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS 2024: 2369-2371 - [c67]Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu:
Reinforcement Learning Friendly Vision-Language Model for Minecraft. ECCV (68) 2024: 1-17 - [c66]Haobin Jiang, Zongqing Lu:
Visual Grounding for Object-Level Generalization in Reinforcement Learning. ECCV (30) 2024: 55-72 - [c65]Hao Luo, Bohan Zhou, Zongqing Lu:
Pre-trained Visual Dynamics Representations for Efficient Policy Learning. ECCV (81) 2024: 249-267 - [c64]Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu:
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. ECCV (8) 2024: 426-443 - [c63]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR 2024 - [c62]Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu:
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. ICLR 2024 - [c61]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. ICLR 2024 - [c60]Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu:
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. ICML 2024 - [c59]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. ICML 2024 - [c58]Wanpeng Zhang, Zongqing Lu:
AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. NAACL-HLT (Findings) 2024: 782-799 - [c57]Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu:
LLaMA-Rider: Spurring Large Language Models to Explore the Open World. NAACL-HLT (Findings) 2024: 4705-4724 - [c56]Gang Ding, Zeyuan Liu, Zhirui Fang, Kefan Su, Liwen Zhu, Zongqing Lu:
Multi-Agent Coordination via Multi-Level Communication. NeurIPS 2024 - [c55]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. NeurIPS 2024 - [c54]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. NeurIPS 2024 - [c53]Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng:
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. NeurIPS 2024 - [c52]Xiaopeng Yu, Jiechuan Jiang, Zongqing Lu:
Opponent Modeling based on Subgoal Inference. NeurIPS 2024 - [c51]Haoqi Yuan, Yuhui Fu, Feiyang Xie, Zongqing Lu:
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation. NeurIPS 2024 - [i66]Jiechuan Jiang, Kefan Su, Zongqing Lu:
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. CoRR abs/2401.04934 (2024) - [i65]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR abs/2402.02097 (2024) - [i64]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR abs/2402.02701 (2024) - [i63]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR abs/2402.03807 (2024) - [i62]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. CoRR abs/2402.19299 (2024) - [i61]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:
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR abs/2403.03186 (2024) - [i60]Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu:
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. CoRR abs/2403.09072 (2024) - [i59]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR abs/2404.00886 (2024) - [i58]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR abs/2405.15369 (2024) - [i57]Bohan Zhou, Jiangxing Wang, Zongqing Lu:
NOLO: Navigate Only Look Once. CoRR abs/2408.01384 (2024) - [i56]Haobin Jiang, Zongqing Lu:
Visual Grounding for Object-Level Generalization in Reinforcement Learning. CoRR abs/2408.01942 (2024) - [i55]Zhirui Fang, Ming Yang, Weishuai Zeng, Boyu Li, Junpeng Yue, Ziluo Ding, Xiu Li, Zongqing Lu:
Egocentric Vision Language Planning. CoRR abs/2408.05802 (2024) - [i54]Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. CoRR abs/2410.02155 (2024) - [i53]Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. CoRR abs/2410.02475 (2024) - [i52]Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations. CoRR abs/2410.02477 (2024) - [i51]Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu:
Cross-Embodiment Dexterous Grasping with Reinforcement Learning. CoRR abs/2410.02479 (2024) - [i50]Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR abs/2410.03303 (2024) - [i49]Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Qin Jin, Zongqing Lu:
Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models. CoRR abs/2410.03311 (2024) - [i48]Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu:
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. CoRR abs/2410.03450 (2024) - [i47]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR abs/2410.20750 (2024) - [i46]Hao Luo, Bohan Zhou, Zongqing Lu:
Pre-trained Visual Dynamics Representations for Efficient Policy Learning. CoRR abs/2411.03169 (2024) - [i45]Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu:
VideoOrion: Tokenizing Object Dynamics in Videos. CoRR abs/2411.16156 (2024) - [i44]Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng:
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. CoRR abs/2412.10798 (2024) - [i43]Wenye Lin, Jonathan Roberts, Yunhan Yang, Samuel Albanie, Zongqing Lu, Kai Han:
Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games. CoRR abs/2412.13602 (2024) - 2023
- [j20]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. 35(11): 11570-11584 (2023) - [j19]Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c50]Jiechuan Jiang, Zongqing Lu:
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. AAAI 2023: 8050-8059 - [c49]Yicheng Feng, Zongqing Lu:
Multi-Agent Language Learning: Symbolic Mapping. ACL (Findings) 2023: 7756-7770 - [c48]Jiechuan Jiang, Zongqing Lu:
Adaptive Learning Rates for Multi-Agent Reinforcement Learning. AAMAS 2023: 23-30 - [c47]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CVPR 2023: 11960-11969 - [c46]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. ECAI 2023: 1148-1155 - [c45]Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi:
ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo. ICCV 2023: 9133-9141 - [c44]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR 2023 - [c43]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR 2023 - [c42]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML 2023: 8103-8119 - [c41]Jiangxing Wang, Deheng Ye, Zongqing Lu:
Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS 2023 - [c40]Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu:
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. NeurIPS 2023 - [i42]Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. CoRR abs/2301.03044 (2023) - [i41]Jiechuan Jiang, Zongqing Lu:
Best Possible Q-Learning. CoRR abs/2302.01188 (2023) - [i40]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. CoRR abs/2302.08084 (2023) - [i39]Hao Luo, Jiechuan Jiang, Zongqing Lu:
Model-Based Decentralized Policy Optimization. CoRR abs/2302.08139 (2023) - [i38]Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu:
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR abs/2303.10571 (2023) - [i37]Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu:
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. CoRR abs/2303.16563 (2023) - [i36]Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li:
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR abs/2305.18443 (2023) - [i35]Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu:
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. CoRR abs/2306.02747 (2023) - [i34]Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu:
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. CoRR abs/2306.12860 (2023) - [i33]Wanpeng Zhang, Zongqing Lu:
RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. CoRR abs/2309.17176 (2023) - [i32]Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu:
LLaMA Rider: Spurring Large Language Models to Explore the Open World. CoRR abs/2310.08922 (2023) - [i31]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. CoRR abs/2310.13255 (2023) - [i30]Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, Zongqing Lu:
Creative Agents: Empowering Agents with Imagination for Creative Tasks. CoRR abs/2312.02519 (2023) - 2022
- [j18]Yibo Lin, Tong Qu, Zongqing Lu, Yajuan Su, Yayi Wei:
Asynchronous Reinforcement Learning Framework and Knowledge Transfer for Net-Order Exploration in Detailed Routing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3132-3142 (2022) - [c39]Yueheng Li, Guangming Xie, Zongqing Lu:
Difference Advantage Estimation for Multi-Agent Policy Gradients. ICML 2022: 13066-13085 - [c38]Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. ICML 2022: 20580-20603 - [c37]Haoqi Yuan, Zongqing Lu:
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. ICML 2022: 25747-25759 - [c36]Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS 2022 - [c35]Jiechuan Jiang, Zongqing Lu:
I2Q: A Fully Decentralized Q-Learning Algorithm. NeurIPS 2022 - [c34]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS 2022 - [c33]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS 2022 - [c32]Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Networked Multi-Agent Reinforcement Learning. NeurIPS 2022 - [c31]Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. NeurIPS 2022 - [i29]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR abs/2206.04745 (2022) - [i28]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR abs/2206.07989 (2022) - [i27]Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR abs/2206.08686 (2022) - [i26]Haoqi Yuan, Zongqing Lu:
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. CoRR abs/2206.10442 (2022) - [i25]Kefan Su, Siyuan Zhou, Chuang Gan, Xiangjun Wang, Zongqing Lu:
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning. CoRR abs/2209.08244 (2022) - [i24]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR abs/2209.12681 (2022) - [i23]Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu:
Multi-Agent Sequential Decision-Making via Communication. CoRR abs/2209.12713 (2022) - [i22]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. CoRR abs/2210.04251 (2022) - [i21]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CoRR abs/2210.09084 (2022) - [i20]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR abs/2210.13942 (2022) - [i19]Kefan Su, Zongqing Lu:
Decentralized Policy Optimization. CoRR abs/2211.03032 (2022) - 2021
- [j17]Fidan Mehmeti, Noor Felemban, Zongqing Lu, Kristina Wheatman, Gregory H. Cirincione, Thomas F. La Porta:
Quality of Information in Gathering Information via Video Analytics for Military Networks. IEEE Commun. Mag. 59(2): 50-55 (2021) - [j16]Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Trans. Biomed. Eng. 68(6): 1787-1798 (2021) - [j15]Zongqing Lu, Swati Rallapalli, Kevin Chan, Shiliang Pu, Thomas La Porta:
Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices. IEEE Trans. Mob. Comput. 20(2): 352-365 (2021) - [j14]Noor Felemban, Fidan Mehmeti, Hana Khamfroush, Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks. IEEE Trans. Mob. Comput. 20(4): 1574-1589 (2021) - [c30]Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu:
Hierarchically and Cooperatively Learning Traffic Signal Control. AAAI 2021: 669-677 - [c29]Tong Qu, Yibo Lin, Zongqing Lu, Yajuan Su, Yayi Wei:
Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing. DATE 2021: 1815-1820 - [c28]Jiechuan Jiang, Zongqing Lu:
The Emergence of Individuality. ICML 2021: 4992-5001 - [c27]Tianhao Zhang, Yueheng Li, Chen Wang, Guangming Xie, Zongqing Lu:
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning. ICML 2021: 12491-12500 - [i18]Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR abs/2101.00746 (2021) - [i17]Ang A. Li, Zongqing Lu, Chenglin Miao:
Revisiting Prioritized Experience Replay: A Value Perspective. CoRR abs/2102.03261 (2021) - [i16]Yifan Yu, Haobin Jiang, Zongqing Lu:
Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions. CoRR abs/2106.05802 (2021) - [i15]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. CoRR abs/2108.01832 (2021) - [i14]Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. CoRR abs/2108.01843 (2021) - [i13]Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. CoRR abs/2110.00304 (2021) - [i12]Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Multi-Agent Reinforcement Learning. CoRR abs/2112.08702 (2021) - 2020
- [j13]Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta:
NetVision: On-Demand Video Processing in Wireless Networks. IEEE/ACM Trans. Netw. 28(1): 196-209 (2020) - [c26]Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. AAAI 2020: 4337-4344 - [c25]Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu:
Graph Convolutional Reinforcement Learning. ICLR 2020 - [c24]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS 2020 - [i11]Jiechuan Jiang, Zongqing Lu:
The Emergence of Individuality in Multi-Agent Reinforcement Learning. CoRR abs/2006.05842 (2020) - [i10]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. CoRR abs/2006.06455 (2020)
2010 – 2019
- 2019
- [j12]Zongqing Lu, Kevin S. Chan, Shiliang Pu, Thomas La Porta:
CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning. IEEE Trans. Mob. Comput. 18(7): 1513-1526 (2019) - [c23]Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. NeurIPS 2019: 13854-13865 - [c22]Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen:
Heterogeneous Transfer Learning for Thermal Comfort Modeling. BuildSys 2019: 61-70 - [i9]Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. CoRR abs/1904.09605 (2019) - [i8]Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. CoRR abs/1907.13177 (2019) - [i7]Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. CoRR abs/1910.14472 (2019) - 2018
- [c21]Zongqing Lu, Kevin S. Chan, Thomas La Porta:
A Computing Platform for Video Crowdprocessing Using Deep Learning. INFOCOM 2018: 1430-1438 - [c20]Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. NeurIPS 2018: 7265-7275 - [i6]Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. CoRR abs/1805.07733 (2018) - [i5]Jiechuan Jiang, Chen Dun, Zongqing Lu:
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR abs/1810.09202 (2018) - 2017
- [j11]Zongqing Lu, Guohong Cao, Thomas La Porta:
TeamPhone: Networking SmartPhones for Disaster Recovery. IEEE Trans. Mob. Comput. 16(12): 3554-3567 (2017) - [j10]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure. IEEE/ACM Trans. Netw. 25(6): 3382-3395 (2017) - [j9]Weizhan Zhang, Yuxuan Chen, Xiang Gao, Zhichao Mo, Qinghua Zheng, Zongqing Lu:
Cluster-Aware Virtual Machine Collaborative Migration in Media Cloud. IEEE Trans. Parallel Distributed Syst. 28(10): 2808-2822 (2017) - [c19]Zongqing Lu, Noor Felemban, Kevin S. Chan, Thomas La Porta:
On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract. IoTDI 2017: 279-280 - [c18]Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. ACM Multimedia 2017: 1663-1671 - [i4]Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. CoRR abs/1709.09503 (2017) - 2016
- [j8]Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao:
Infectious Disease Containment Based on a Wireless Sensor System. IEEE Access 4: 1548-1559 (2016) - [j7]Zongqing Lu, Yonggang Wen, Weizhan Zhang, Qinghua Zheng, Guohong Cao:
Towards Information Diffusion in Mobile Social Networks. IEEE Trans. Mob. Comput. 15(5): 1292-1304 (2016) - [c17]Noor Felemban, Zongqing Lu, Thomas La Porta, Kevin S. Chan:
Video processing of complex activity detection in resource-constrained networks. GlobalSIP 2016: 1345-1348 - [c16]Ben Niu, Sheng Gao, Fenghua Li, Hui Li, Zongqing Lu:
Protection of location privacy in continuous LBSs against adversaries with background information. ICNC 2016: 1-6 - [c15]Zongqing Lu, Kevin S. Chan, Rahul Urgaonkar, Thomas La Porta:
On-demand video processing in wireless networks. ICNP 2016: 1-10 - [c14]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative data offloading in opportunistic mobile networks. INFOCOM 2016: 1-9 - [c13]Zongqing Lu, Guohong Cao, Thomas La Porta:
Networking smartphones for disaster recovery. PerCom 2016: 1-9 - [i3]Zongqing Lu, Guohong Cao, Thomas La Porta:
TeamPhone: Networking Smartphones for Disaster Recovery. CoRR abs/1606.03417 (2016) - [i2]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative Data Offloading in Opportunistic Mobile Networks. CoRR abs/1606.03493 (2016) - 2015
- [j6]Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao, Thomas La Porta:
Algorithms and Applications for Community Detection in Weighted Networks. IEEE Trans. Parallel Distributed Syst. 26(11): 2916-2926 (2015) - [c12]Xiao Sun, Zongqing Lu, Wenjie Hu, Guohong Cao:
SymDetector: detecting sound-related respiratory symptoms using smartphones. UbiComp 2015: 97-108 - [c11]Zongqing Lu, Jing Zhao, Yibo Wu, Guohong Cao:
Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks. ICCCN 2015: 1-9 - [c10]Ben Niu, Xiaoyan Zhu, Weihao Li, Hui Li, Yingjuan Wang, Zongqing Lu:
A personalized two-tier cloaking scheme for privacy-aware location-based services. ICNC 2015: 94-98 - [c9]Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao:
Targeted vaccination based on a wireless sensor system. PerCom 2015: 215-220 - 2014
- [b1]Zongqing Lu:
Exploring social structures for network protocol designs. Nanyang Technological University, Singapore, 2014 - [j5]Zongqing Lu, Yonggang Wen:
Distributed Algorithm for Tree-Structured Data Aggregation Service Placement in Smart Grid. IEEE Syst. J. 8(2): 553-561 (2014) - [c8]Zongqing Lu, Yonggang Wen, Guohong Cao:
Information diffusion in mobile social networks: The speed perspective. INFOCOM 2014: 1932-1940 - [c7]Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao:
Skeleton construction in mobile social networks: Algorithms and applications. SECON 2014: 477-485 - [i1]Ben Niu, Tanran Zhang, Xiaoyan Zhu, Hui Li, Zongqing Lu:
Priority-Aware Private Matching Schemes for Proximity-Based Mobile Social Networks. CoRR abs/1401.8064 (2014) - 2013
- [j4]Zongqing Lu, Yonggang Wen, Rui Fan, Su-Lim Tan, Jit Biswas:
Toward Efficient Distributed Algorithms for In-Network Binary Operator Tree Placement in Wireless Sensor Networks. IEEE J. Sel. Areas Commun. 31(4): 743-755 (2013) - [j3]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Fusion function placement for Active Networks paradigm in wireless sensor networks. Wirel. Networks 19(7): 1525-1536 (2013) - [j2]Zongqing Lu, Su-Lim Tan, Jit Biswas:
D2F: A Routing Protocol for Distributed Data Fusion in Wireless Sensor Networks. Wirel. Pers. Commun. 70(1): 391-410 (2013) - [c6]Zongqing Lu, Yonggang Wen, Guohong Cao:
Community detection in weighted networks: Algorithms and applications. PerCom 2013: 179-184 - 2012
- [c5]Zongqing Lu, Yonggang Wen:
Credit routing for source-location privacy protection in wireless sensor networks. MASS 2012: 164-172 - [c4]Zongqing Lu, Yonggang Wen:
Distributed and Asynchronous Solution to Operator Placement in Large Wireless Sensor Networks. MSN 2012: 100-107 - 2011
- [j1]Lin Lin, Kai Juan Wong, Arun Kumar, Zongqing Lu, Su-Lim Tan, Soo-Jay Phee:
Evaluation of a TDMA-based energy efficient MAC protocol for multiple capsule networks. EURASIP J. Wirel. Commun. Netw. 2011: 54 (2011) - [c3]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks. AINA Workshops 2011: 329-334 - [c2]Zongqing Lu, Su-Lim Tan, Jit Biswas:
A power-aware framework for distributed data fusion application in wireless sensor networks. LCN 2011: 127-130 - [c1]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Function Placement of Data Fusion for Active Networks Paradigm in Wireless Sensor Networks. MASS 2011: 152-154
Coauthor Index
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