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Peng Cheng

Semi-Supervised Domain Generalizable Person Re-Identification


Sep 09, 2021
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei

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A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]


Aug 11, 2021
Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng

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* 15 pages 
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Dynamic Multi-Scale Loss Optimization for Object Detection


Aug 09, 2021
Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng

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CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner


Mar 14, 2021
Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong

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TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask)


Dec 22, 2020
Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Ting Wang

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Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles


Jul 27, 2020
Yuxin Lu, Peng Cheng, Zhuo Chen, Wai Ho Mow, Yonghui Li, Branka Vucetic

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FastReID: A Pytorch Toolbox for General Instance Re-identification


Jun 29, 2020
Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei

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FastReID: A Pytorch Toolbox for Real-world Person Re-identification


Jun 04, 2020
Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei

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Simulating Performance of ML Systems with Offline Profiling


Feb 17, 2020
Hongming Huang, Peng Cheng, Hong Xu, Yongqiang Xiong

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* Accepted to The MLOps 2020 workshop, colocated with MLSys 2020. 2 pages 
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Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation


Dec 20, 2019
Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng

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Reinforcement learning for bandwidth estimation and congestion control in real-time communications


Dec 04, 2019
Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke

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* Workshop on ML for Systems at NeurIPS 2019 
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Challenges of Privacy-Preserving Machine Learning in IoT


Sep 21, 2019
Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng

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* In First International Workshop on Challenges in Artificial Intelligence and Machine Learning (AIChallengeIoT'19) November 10-13, 2019. 7 pages 
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Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation


Sep 09, 2019
Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen

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A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels


Jul 21, 2019
Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic

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* 46 pages, 10 figures, accepted by IEEE Transactions on Signal Processing 2019 
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WIDER Face and Pedestrian Challenge 2018: Methods and Results


Feb 19, 2019
Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou

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* Report of ECCV 2018 workshop: WIDER Face and Pedestrian Challenge 
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Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV


Aug 16, 2018
Xiaoliang Wang, Peng Cheng, Xinchuan Liu, Benedict Uzochukwu

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* arXiv admin note: substantial text overlap with arXiv:1803.01114 
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Focal Loss Dense Detector for Vehicle Surveillance


Mar 03, 2018
Xiaoliang Wang, Peng Cheng, Xinchuan Liu, Benedict Uzochukwu

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Step size adaptation in first-order method for stochastic strongly convex programming


Oct 13, 2011
Peng Cheng


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