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ORCIDHang Qi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Hang Qi 0001 — University of California, Los Angeles, USA
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2020 – today
- 2025
[j18]Xian Mo, Zihang Zhao, Xiaoru He, Hang Qi, Hao Liu:
Intelligible graph contrastive learning with attention-aware for recommendation. Neurocomputing 614: 128781 (2025)- 2024
- [j17]Hang Qi
, Weijiang Wang, Yueting Shi, Xiaohua Wang:
AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation. Biomed. Signal Process. Control. 95: 106397 (2024) - [j16]Yujin Zheng, Hang Qi, Lei Li, Shan Li, Yan Huang, Chu He, Dingwen Wang:
Motion-guided and occlusion-aware multi-object tracking with hierarchical matching. Pattern Recognit. 151: 110369 (2024) - [j15]Zanshi Wang, Xiaohua Wang, Yueting Shi, Hang Qi, Minli Jia, Weijiang Wang:
Lightweight Detection Method for X-ray Security Inspection with Occlusion. Sensors 24(3): 1002 (2024) - [c22]Hang Qi, Weijiang Wang, Chuxuan Shan, Xiaohua Wang, Minli Jia, Hua Dang:
FD-DUNet: Frequency Domain Global Modeling Enhances Receptive Field Expansion UNet for Efficient Medical Image Segmentation. ICIC (2) 2024: 68-80 - [c21]Fang Huang, Hang Qi, Ping Wang, Yaxin Guo, Yue Zhang:
Monitoring Ecosystem Functional Heterogeneity Pattern and Changes from Lands at Imagery. IGARSS 2024: 5503-5506 - [i13]Xiaofei Guan, Hang Qi, Zhiwei Sun:
Two-scale Analysis for Multiscale Landau-Lifshitz-Gilbert Equation: Theory and Numerical Methods. CoRR abs/2403.14957 (2024) - [i12]Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [c20]Yang Yu, Zihao Ge, Huiyan Zhang, Feilong Chen, Hang Qi, Ruohan Li, Shaoqin Ren:
A white wine fermentation experiment based on VR virtual simulation. ICMLCA 2023: 986-990 - [i11]Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang:
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. CoRR abs/2304.07882 (2023) - 2022
- [c19]Krishna Somandepalli, Hang Qi, Brian Eoff, Alan Cowen, Kartik Audhkhasi, Josh Belanich, Brendan Jou:
Federated Learning for Affective Computing Tasks. ACII 2022: 1-8 - [c18]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090 - [i10]Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi:
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. CoRR abs/2201.11865 (2022) - [i9]Sagar M. Waghmare, Hang Qi, Huizhong Chen, Mikhail Sirotenko, Tomer Meron:
Efficient Image Representation Learning with Federated Sampled Softmax. CoRR abs/2203.04888 (2022) - 2021
- [j14]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j13]Yi Liu, Mingxing Duanmu, Zhen Huo, Hang Qi, Zuntian Chen, Lei Li, Qiang Zhang:
Exploring multi-scale deformable context and channel-wise attention for salient object detection. Neurocomputing 428: 92-103 (2021) - [j12]Zhongliang Deng, Hang Qi, Yanxu Liu, Enwen Hu:
Design and Implementation of Opportunity Signal Perception Unit Based on Time-Frequency Representation and Convolutional Neural Network. Sensors 21(23): 7871 (2021) - [i8]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i7]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - 2020
- [j11]Hang Qi, Zhiqun Hu, Hao Huang, Xiangming Wen, Zhaoming Lu:
Energy Efficient 3-D UAV Control for Persistent Communication Service and Fairness: A Deep Reinforcement Learning Approach. IEEE Access 8: 53172-53184 (2020) - [j10]Lina Wu, Danping He, Bo Ai, Jian Wang, Hang Qi, Ke Guan, Zhangdui Zhong:
Artificial Neural Network Based Path Loss Prediction for Wireless Communication Network. IEEE Access 8: 199523-199538 (2020) - [j9]Zhiqun Hu, Hang Qi, Xiangming Wen, Zhaoming Lu, Wenpeng Jing:
Performance analysis based Markov chain in random access heterogeneous MIMO networks. Comput. Networks 180: 107415 (2020) - [j8]Huan Zhai, Fang Huang, Hang Qi:
Generating High Resolution LAI Based on a Modified FSDAF Model. Remote. Sens. 12(1): 150 (2020) - [j7]Hang Qi, Hao Huang, Zhiqun Hu, Xiangming Wen, Zhaoming Lu:
On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach. Sensors 20(10): 2789 (2020) - [c17]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. ECCV (10) 2020: 76-92 - [c16]Yue Wang, Zhiqun Hu, Xiangming Wen, Zhaoming Lu, Jiansong Miao, Hang Qi:
Three-Dimensional Aerial Cell Partitioning Based on Optimal Transport Theory. ICC Workshops 2020: 1-6 - [c15]Yue Wang, Xiangming Wen, Zhiqun Hu, Zhaoming Lu, Jiansong Miao, Chuanzhi Sun, Hang Qi:
Multi-UAV Collaborative Data Collection for IoT Devices Powered by Battery. WCNC 2020: 1-6 - [i6]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. CoRR abs/2003.08082 (2020)
2010 – 2019
- 2019
- [j6]Jianguo Song, Hang Qi, Guangchao Wang:
Learning Towards Transportation Network Equilibrium: A Model Comparison Study. IEEE Access 7: 155737-155747 (2019) - [j5]Hang Qi, Zhiqun Hu, Xiangming Wen, Zhaoming Lu:
Rate Adaptation With Thompson Sampling in 802.11ac WLAN. IEEE Commun. Lett. 23(10): 1888-1892 (2019) - [j4]Bo Li, Fang Huang, Lijie Qin, Hang Qi, Ning Sun:
Spatio-Temporal Variations of Carbon Use Efficiency in Natural Terrestrial Ecosystems and the Relationship with Climatic Factors in the Songnen Plain, China. Remote. Sens. 11(21): 2513 (2019) - [j3]Hang Qi, Fang Huang, Huan Zhai:
Monitoring Spatio-Temporal Changes of Terrestrial Ecosystem Soil Water Use Efficiency in Northeast China Using Time Series Remote Sensing Data. Sensors 19(6): 1481 (2019) - [i5]Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification. CoRR abs/1909.06335 (2019) - [i4]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - 2018
- [c14]Hang Qi, Matthew Brown, David G. Lowe:
Low-Shot Learning With Imprinted Weights. CVPR 2018: 5822-5830 - [c13]Shangjuan Lin, Hang Qi, Xiangming Wen, Zhaoming Lu, Zhiqun Hu:
An Efficient Group-Based OFDMA MAC Protocol for Multiuser Access in Dense WLAN Systems. ICC Workshops 2018: 1-6 - [c12]Xin Zhang, Zhaoming Lu, Xiangming Wen, Wenpeng Jing, Hang Qi:
A fair and efficient channel access approach based on CSMA with enhanced collision avoidance for LAA. WCNC 2018: 1-6 - 2017
- [c11]Hang Qi, Evan Randall Sparks, Ameet Talwalkar:
Paleo: A Performance Model for Deep Neural Networks. ICLR (Poster) 2017 - [c10]Yinan Zhang, Xiaolei Chen, Hang Qi, Devin J. Balkcom:
Rearranging agents in a small space using global controls. IROS 2017: 3576-3582 - [c9]Hang Qi, Zhiqun Hu, Xiangming Wen, Zhaoming Lu:
An Enhanced MAC Backoff Algorithm for Heavy User Loaded WLANs. WCNC 2017: 1-6 - [i3]Hang Qi, Matthew Brown, David G. Lowe:
Learning with Imprinted Weights. CoRR abs/1712.07136 (2017) - 2016
- [j2]Tieke He, Rui Hao, Hang Qi, Jia Liu, Qing Wu:
Mining Feature-Opinion from Reviews Based on Dependency Parsing. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1581-1592 (2016) - [c8]Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu:
Lift-Based Bidding in Ad Selection. AAAI 2016: 651-657 - [c7]Xingjian Yan, Jianing Pang, Hang Qi, Yixin Zhu, Chunxue Bai, Xin Geng, Mina Liu, Demetri Terzopoulos, Xiaowei Ding:
Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies. ACCV Workshops (3) 2016: 91-101 - [c6]Xiaowei Ding, Xin Geng, Chenfanfu Jiang, Feng Tian, Xingjian Yan, Hang Qi, Lei Zhang, Yongchang Zheng:
Fast Automated Liver Delineation from Computational Tomography Angiography. MIUA 2016: 87-92 - [c5]Rui Hao, Tieke He, Hang Qi, Jia Liu:
Mining Feature-Opinion from Reviews Based on Dependency Parsing. SEKE 2016: 462-465 - [c4]Hang Qi, Qiang Wang, Yi Wang, Yue Dong:
Secrecy rate and power allocation of full duplex relay network with full duplex hybrid relaying-and-jamming scheme. WPMC 2016: 487-491 - 2015
- [c3]Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu:
Smart Pacing for Effective Online Ad Campaign Optimization. KDD 2015: 2217-2226 - [i2]Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu:
Smart Pacing for Effective Online Ad Campaign Optimization. CoRR abs/1506.05851 (2015) - [i1]Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu:
Lift-Based Bidding in Ad Selection. CoRR abs/1507.04811 (2015) - 2014
- [j1]Guangchao Wang, Ning Jia, Shoufeng Ma, Hang Qi:
A rank-dependent bi-criterion equilibrium model for stochastic transportation environment. Eur. J. Oper. Res. 235(3): 511-529 (2014) - 2011
- [c2]Hang Qi, Ruichao Qiu, Jinyuan Jia:
L-system based interactive and lightweight web3D tree modeling. VRCAI 2011: 589-592
2000 – 2009
- 2009
- [c1]Hang Qi, Liqing Zhang:
Age Classification System with ICA Based Local Facial Features. ISNN (2) 2009: 763-772
Coauthor Index
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