Selected Publications

Preprint

[Preprint] Adaptive Learning Rates for Multi-Agent Reinforcement Learning

Jiechuan Jiang and Zongqing Lu

Details PDF Project

[Preprint] What Preserves the Emergence of Language?

Ziluo Ding, Tiejun Huang, and Zongqing Lu

Details PDF Project

[Preprint] Learning to Share in Multi-Agent Reinforcement Learning

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

Details PDF Project

[Preprint] Revisiting Prioritized Experience Replay: A Value Perspective

Ang Li, Zongqing Lu, and Chenglin Miao

arXiv:2102.03261

Details PDF Project

[Preprint] Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control

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

arXiv:2101.00746

Details PDF Project

[Preprint] The Emergence of Individuality in Multi-Agent Reinforcement Learning

Jiechuan Jiang and Zongqing Lu

arXiv:2006.05842

Details PDF Project

Conferences

[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)

Details PDF Project

[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.

Details PDF Project

[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 presentation)

Details PDF Code Project

[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)

Details PDF Video Code Project

[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)

Details PDF Video Code Project

[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)

Details PDF Project

[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)

Details PDF Video Project

[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)

Details PDF Slides Project Journal Version

[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)

Details PDF Project Journal Version

[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)

Details PDF Project Journal Version

[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)

Details PDF Slides Project Best-in-Session Presentation Award Journal Version

[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)

Details PDF Slides Project NSF Travel Grant Award Journal Version

[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)

Details PDF Project

[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)

Details PDF

[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)

Details PDF Project

[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)

Details PDF Project

[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)

Details PDF Project Journal Version

[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)

Details PDF Project Journal Version

Journals

[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 (accepted)

Details PDF Project

[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 (accepted)

Details PDF Project

[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

Details PDF Project

[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

Details PDF Project

[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

Details PDF Project

[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.

Details PDF Project

[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.

Details PDF Project

[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.

Details PDF Project

[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.

Details PDF Project

[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.

Details PDF