Hang Dong

Senior Researcher

출판물

자료 보기:

- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- TaskWeaver: A Code-First Agent Framework
  
  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 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication 프로젝트
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Interaction Event Network Modeling based on Temporal Point Process
  
  Hang Dong, Kaibo Wang
  
  IISE Transactions | June 2021
  
  Publication Publication Publication
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Modeling and Change Detection for Count-Weighted Multilayer Networks
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Technometrics | May 2019
  
  Publication
- Wafer Yield Prediction using Derived Spatial Variables
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Quality and Reliability Engineering International | June 2017
  
  Publication

- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- TaskWeaver: A Code-First Agent Framework
  
  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 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication 프로젝트
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication 프로젝트
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication 프로젝트
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Interaction Event Network Modeling based on Temporal Point Process
  
  Hang Dong, Kaibo Wang
  
  IISE Transactions | June 2021
  
  Publication Publication Publication
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Modeling and Change Detection for Count-Weighted Multilayer Networks
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Technometrics | May 2019
  
  Publication
- Wafer Yield Prediction using Derived Spatial Variables
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Quality and Reliability Engineering International | June 2017
  
  Publication
- Interaction Event Network Modeling based on Temporal Point Process
  
  Hang Dong, Kaibo Wang
  
  IISE Transactions | June 2021
  
  Publication Publication Publication
- Modeling and Change Detection for Count-Weighted Multilayer Networks
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Technometrics | May 2019
  
  Publication
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI

- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication 프로젝트
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- TaskWeaver: A Code-First Agent Framework
  
  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 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Interaction Event Network Modeling based on Temporal Point Process
  
  Hang Dong, Kaibo Wang
  
  IISE Transactions | June 2021
  
  Publication Publication Publication
- Modeling and Change Detection for Count-Weighted Multilayer Networks
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Technometrics | May 2019
  
  Publication
- Wafer Yield Prediction using Derived Spatial Variables
  
  Hang Dong, Nan Chen, Kaibo Wang
  
  Quality and Reliability Engineering International | June 2017
  
  Publication

Hang Dong

출판물

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

TaskWeaver: A Code-First Agent Framework

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Interaction Event Network Modeling based on Temporal Point Process

Identifying linked incidents in large-scale online service systems

Outage Prediction and Diagnosis for Cloud Service Systems

Modeling and Change Detection for Count-Weighted Multilayer Networks

Wafer Yield Prediction using Derived Spatial Variables

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

TaskWeaver: A Code-First Agent Framework

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Identifying linked incidents in large-scale online service systems

Outage Prediction and Diagnosis for Cloud Service Systems

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Identifying linked incidents in large-scale online service systems

Outage Prediction and Diagnosis for Cloud Service Systems

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Interaction Event Network Modeling based on Temporal Point Process

Identifying linked incidents in large-scale online service systems

Outage Prediction and Diagnosis for Cloud Service Systems

Modeling and Change Detection for Count-Weighted Multilayer Networks

Wafer Yield Prediction using Derived Spatial Variables

Interaction Event Network Modeling based on Temporal Point Process

Modeling and Change Detection for Count-Weighted Multilayer Networks

Identifying linked incidents in large-scale online service systems

Outage Prediction and Diagnosis for Cloud Service Systems

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Identifying linked incidents in large-scale online service systems

Outage Prediction and Diagnosis for Cloud Service Systems

TaskWeaver: A Code-First Agent Framework

Interaction Event Network Modeling based on Temporal Point Process

Modeling and Change Detection for Count-Weighted Multilayer Networks

Wafer Yield Prediction using Derived Spatial Variables