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ORCIDJie Hu 0027
Person information
- affiliation: Oakland University, Department of Computer Science and Engineering, Rochester, MI, USA
- affiliation (former): North Carolina State University, Raleigh, NC, USA
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001
![[0000-0002-5157-0172]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-5157-0172")
— University of Electronic Science and Technology of China, Chengdu (and 1 more) - Jie Hu 0002 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China (and 1 more)
- Jie Hu 0003 — Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing
- Jie Hu 0004 — Shenzhen University, Shenzhen Key Laboratory of Spatial Information Smarting Sensing and Services, China
- Jie Hu 0005 — University of California, Irvine, CA, USA
- Jie Hu 0006 — Hubei University, Wuhan, China (and 2 more)
- Jie Hu 0007 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Jie Hu 0008 — State University of New York at Buffalo, NY, USA
- Jie Hu 0009 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China (and 1 more)
- Jie Hu 0010 — Tohoku University, Sendai, Japan
- Jie Hu 0011 — The University of Texas at Dallas, Richardson, TX, USA
- Jie Hu 0012 — Sun Yat-Sen University, Guangzhou, China
- Jie Hu 0013 — China University of Geosciences, Wuhan, China (and 1 more)
- Jie Hu 0014 — Zheijiang University, College of Electrical Engineering, Hangzhou, China
- Jie Hu 0015 — Fudan University, ZhongShan Hospital, Shanghai, China
- Jie Hu 0016 — Guizhou University of Finance and Economics, College of Big Data Statistics, Guiyang, China (and 2 more)
- Jie Hu 0017 — University of Southampton, UK
- Jie Hu 0018 — Xiamen University, School of Information Science and Engineering, China
- Jie Hu 0019 — Meituan Group, Beijing, China (and 2 more)
- Jie Hu 0020 — Zhejiang University, School of International Studies, Department of Linguistics, Hangzhou, China
- Jie Hu 0021 — Huawei Noah's Ark Lab
- Jie Hu 0022 — Peking University, Center for Data Science, Beijing, China
- Jie Hu 0023 — Jiangxi Agricultural University, Nanchang, China
- Jie Hu 0024 — Wuhan University, Wuhan, China
- Jie Hu 0025 — China Telecom Research Institute, Beijing, China
- Jie Hu 0026 — Beijing Jiaotong University, Beijing, China
- Jie Hu 0028 — Taiyuan University of Technology, Taiyuan, Shanxi, China
- Jie Hu 0029 — Southern University of Science and Technology, Shenzhen, China
- Jie Hu 0030 — Xi'an Technological University, China
- Jie Hu 0031 — University of California Riverside, Riverside, CA, USA
- Jie Hu 0032 — Southwest University, Chongqing, China
- Jie Hu 0033 — University of Science and Technology of China, Hefei, Anhui, China
- Jie Hu 0034 — University of Zurich, Zurich, Switzerland
- Jie Hu 0035 — Xiamen University, Fujian, China
- Jie Hu 0036 — Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, China
- Jie Hu 0037 — Wuhan University of Technology, Wuhan, Hubei, China
- Jie Hu 0038 — Xihua University, Sichuan, China
- Jie Hu 0039 — Karlsruhe Institute of Technology, Karlsruhe, Germany
- Jie Hu 0040 — Jiangxi Agricultural University, Nanchang, China
- Jie Hu 0041 — Wenzhou University, Wenzhou, China
- Jie Hu 0042 — Wuhan University, Wuhan, China
- Jie Hu 0043 — Fujian Normal University, Fuzhou, China
- Jie Hu 0044 — Wuhan University, Wuhan, Hubei, China
- Jie Hu 0045 — University of Wisconsin-Madison, Madison, WI, USA
- Jie Hu 0046 — Hefei University of Technology, Hefei, China
- Jie Hu 0047 — Texas A&M University, TX, USA
- Jie Hu 0048 — Northeastern University, Shenyang, China
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2020 – today
- 2025
[c10]Jie Hu, Yi-Ting Ma, Do Young Eun:
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs. ICML 2025- [i10]Jie Hu, Yi-Ting Ma, Do Young Eun:
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs. CoRR abs/2505.18300 (2025) - 2024
- [j1]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Minimizing File Transfer Time in Opportunistic Spectrum Access Model. IEEE Trans. Mob. Comput. 23(1): 630-644 (2024) - [c9]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications. AISTATS 2024: 1477-1485 - [c8]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks. ICLR 2024 - [c7]Vishwaraj Doshi, Jie Hu, Do Young Eun:
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract). IJCAI 2024: 8394-8398 - [c6]Jie Hu, Yi-Ting Ma, Do Young Eun:
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD. NeurIPS 2024 - [i9]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications. CoRR abs/2401.09339 (2024) - [i8]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks. CoRR abs/2401.09665 (2024) - [i7]Jie Hu, Yi-Ting Ma, Do Young Eun:
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD. CoRR abs/2409.17499 (2024) - 2023
- [c5]Vishwaraj Doshi, Jie Hu, Do Young Eun:
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains. ICML 2023: 8403-8423 - [i6]Vishwaraj Doshi, Jie Hu, Do Young Eun:
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains. CoRR abs/2305.05097 (2023) - 2022
- [c4]Vishwaraj Doshi, Jie Hu, Do Young Eun:
Bi-SIS Epidemics on Graphs - Quantitative Analysis of Coexistence Equilibria. CDC 2022: 5608-5613 - [c3]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Efficiency Ordering of Stochastic Gradient Descent. NeurIPS 2022 - [i5]Vishwaraj Doshi, Jie Hu, Do Young Eun:
Bi-SIS Epidemics on Graphs - Quantitative Analysis of Coexistence Equilibria. CoRR abs/2209.07304 (2022) - [i4]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Efficiency Ordering of Stochastic Gradient Descent. CoRR abs/2209.07446 (2022) - [i3]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Minimizing File Transfer Time in Opportunistic Spectrum Access Model. CoRR abs/2210.02557 (2022) - 2021
- [c2]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Opportunistic Spectrum Access: Does Maximizing Throughput Minimize File Transfer Time? WiOpt 2021: 25-32 - [i2]Liu Cao, Hao Yin, Jie Hu, Lyutianyang Zhang:
Performance Analysis and Improvement on DSRC Application for V2V Communication. CoRR abs/2102.07023 (2021) - [i1]Jie Hu, Vishwaraj Doshi, Do Young Eun:
Opportunistic Spectrum Access: Does Maximizing Throughput Minimize File Transfer Time? CoRR abs/2109.11624 (2021) - 2020
- [c1]Liu Cao, Hao Yin, Jie Hu, Lyutianyang Zhang:
Performance Analysis and Improvement on DSRC Application for V2V Communication. VTC Fall 2020: 1-6
Coauthor Index
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