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ORCIDHang Dong 0004
Person information
- affiliation: Microsoft Research, China
Other persons with the same name
- Hang Dong — disambiguation page
- Hang Dong 0001
![[0000-0002-1104-4688]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1104-4688")
— Xi'an Jiaotong University, College of Artificial Intelligence, Shaanxi, China - Hang Dong 0002 — University of Oxford, UK (and 2 more)
- Hang Dong 0003 — IE University, Segovia, Spain
- Hang Dong 0005 — Dalian University of Technology, Dalian, Liaoning, China
- Hang Dong 0006 — Fudan University, Shanghai, China
- Hang Dong 0007 — Upper St. Clair High School, USA
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2020 – today
- 2024
[j1]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Trans. Knowl. Data Eng. 36(11): 5849-5859 (2024)- [c9]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [i9]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i8]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i7]Dapeng Li, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Qi Zhang, Zhiwei Xu, Bin Zhang, Guoliang Fan:
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. CoRR abs/2404.17780 (2024) - [i6]Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. CoRR abs/2406.01047 (2024) - 2023
- [c8]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - [c7]Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda:
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) 2023: 391-395 - [c6]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i5]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i4]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - [i3]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. CoRR abs/2311.05144 (2023) - [i2]Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
TaskWeaver: A Code-First Agent Framework. CoRR abs/2311.17541 (2023) - 2022
- [c5]Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin:
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property. ICLR 2022 - [i1]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022) - 2021
- [c4]Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda:
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. IJCAI 2021: 3627-3634 - [c3]Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda:
Effective low capacity status prediction for cloud systems. ESEC/SIGSOFT FSE 2021: 1236-1241 - 2020
- [c2]Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang:
Identifying linked incidents in large-scale online service systems. ESEC/SIGSOFT FSE 2020: 304-314
2010 – 2019
- 2019
- [c1]Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang:
Outage Prediction and Diagnosis for Cloud Service Systems. WWW 2019: 2659-2665
Coauthor Index
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