Longbo Huang

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Michael J. NeelyUniversity of Southern California, Department of Electrical EngineeringVerified email at usc.edu
Jean WalrandProfessor of EECSVerified email at eecs.berkeley.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Leana GolubchikUniversity of Southern CaliforniaVerified email at usc.edu
Adam WiermanCarl F Braun Professor of Computing+Mathematical Sciences, CaltechVerified email at caltech.edu
Jian LiTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Minghua ChenIEEE Fellow; ACM Distinguished Scientist; City University of Hong KongVerified email at cityu.edu.hk
abhishek sharmaDirector of Engineering, RhombusVerified email at rhombuspower.com
Eytan ModianoMITVerified email at mit.edu
Bhaskar KrishnamachariProfessor of Electrical and Computer Engineering, and Computer Science, USCVerified email at usc.edu
Nihar B. ShahML and CS departments, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Kangwook LeeUniversity of Wisconsin-MadisonVerified email at wisc.edu
Scott MoellerUniversity of Southern CaliforniaVerified email at usc.edu
Yunxin LiuInstitute for AI Industry Research (AIR), Tsinghua UniversityVerified email at air.tsinghua.edu.cn
Hao ZhangUC BerkeleyVerified email at eecs.berkeley.edu
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaVerified email at umn.edu
Ness ShroffDepartment of ECE and CSE, The Ohio State UniversityVerified email at osu.edu
Guanfeng LiangFacebookVerified email at fb.com
Yin SunAuburn UniversityVerified email at auburn.edu

Longbo Huang

Professor, IIIS @ Tsinghua University, China, ACM Distinguished Scientist

Verified email at tsinghua.edu.cn - Homepage

Reinforcement Learning (RL)Deep RL Machine Learning Stochastic Networks


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Power cost reduction in distributed data centers: A two-time-scale approach for delay tolerant workloads Y Yao, L Huang, AB Sharma, L Golubchik, MJ Neely IEEE Transactions on Parallel and Distributed Systems 25 (1), 200-211, 2012	414*	2012
Optimizing age-of-information in a multi-class queueing system L Huang, E Modiano 2015 IEEE international symposium on information theory (ISIT), 1681-1685, 2015	374	2015
Utility optimal scheduling in energy harvesting networks L Huang, MJ Neely Arxiv preprint arXiv:1012.1945, 2010	303	2010
What makes multi-modal learning better than single (provably) Y Huang, C Du, Z Xue, X Chen, H Zhao, L Huang Advances in Neural Information Processing Systems 34, 10944-10956, 2021	236	2021
Age-of-information in the presence of error K Chen, L Huang 2016 IEEE International Symposium on Information Theory (ISIT), 2579-2583, 2016	228	2016
Optimal demand response with energy storage management L Huang, J Walrand, K Ramchandran 2012 IEEE third international conference on smart grid communications …, 2012	205	2012
A deep reinforcement learning framework for rebalancing dockless bike sharing systems L Pan, Q Cai, Z Fang, P Tang, L Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 1393-1400, 2019	185	2019
Latent consistency models: Synthesizing high-resolution images with few-step inference S Luo, Y Tan, L Huang, J Li, H Zhao arXiv preprint arXiv:2310.04378, 2023	175	2023
Delay reduction via lagrange multipliers in stochastic network optimization L Huang, MJ Neely Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009 …, 2009	161	2009
Prices and subsidies in the sharing economy Z Fang, L Huang, A Wierman Proceedings of the 26th international conference on World Wide Web, 53-62, 2017	142	2017
LIFO-backpressure achieves near optimal utility-delay tradeoff L Huang, S Moeller, MJ Neely, B Krishnamachari Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt …, 2011	121	2011
Codes can reduce queueing delay in data centers L Huang, S Pawar, H Zhang, K Ramchandran 2012 IEEE International Symposium on Information Theory Proceedings, 2766-2770, 2012	113	2012
When queueing meets coding: Optimal-latency data retrieving scheme in storage clouds S Chen, Y Sun, L Huang, P Sinha, G Liang, X Liu, NB Shroff IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 1042-1050, 2014	99	2014
Dynamic modeling based on coupled modes for wireless power transfer systems H Li, K Wang, L Huang, W Chen, X Yang IEEE Transactions on Power Electronics 30 (11), 6245-6253, 2014	93	2014
Softmax deep double deterministic policy gradients L Pan, Q Cai, L Huang Advances in neural information processing systems 33, 11767-11777, 2020	91	2020
Fast federated learning in the presence of arbitrary device unavailability X Gu, K Huang, J Zhang, L Huang Advances in Neural Information Processing Systems 34, 12052-12064, 2021	85	2021
Modality competition: What makes joint training of multi-modal network fail in deep learning?(provably) Y Huang, J Lin, C Zhou, H Yang, L Huang International conference on machine learning, 9226-9259, 2022	78	2022
When backpressure meets predictive scheduling L Huang, S Zhang, M Chen, X Liu Proceedings of the 15th ACM international symposium on Mobile ad hoc …, 2014	73	2014
Lcm-lora: A universal stable-diffusion acceleration module S Luo, Y Tan, S Patil, D Gu, P von Platen, A Passos, L Huang, J Li, ... arXiv preprint arXiv:2311.05556, 2023	71	2023
The optimality of two prices: Maximizing revenue in a stochastic communication system L Huang, MJ Neely Networking, IEEE/ACM Transactions on 18 (2), 406-419, 2010	66*	2010

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