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Kai Wang 0040

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affiliation: Harvard University, Cambridge, MA, USA
affiliation (former): University of Southern California, Center for Artificial Intelligence in Society, Los Angeles, CA, USA

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Kai Wang — disambiguation page
Kai Wang 0001 — Nankai University, Institute of Machine Intelligence, College of Computer and Control Engineering, Sino-Canada Joint R&D Centre on Water and Environmental Safety, Tianjin, China
Kai Wang 0002 — Grenoble Institute of Technology, GIPSA-Lab, France (and 1 more)
Kai Wang 0003 — Chongqing University, School of Automation, China
Kai Wang 0004 — Xinjiang Medical University, Department of Medical Engineering and Technology, Urumqi, China
Kai Wang 0005 — Osaka University, Graduate School of Engineering Science, Toyonaka, Japan
Kai Wang 0006 — Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, Hong Kong (and 3 more)
Kai Wang 0007 — South University of Science and Technology of China, Department of Electrical & Electronic Engineering, Shenzhen, China (and 1 more)
Kai Wang 0008 — North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, NC, USA
Kai Wang 0009 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 5 more)

Kai Wang 0010 — Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Chengdu, China
Kai Wang 0011 — University of California, Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
Kai Wang 0012 — China Unicom, Beijing, China (and 3 more)
Kai Wang 0013 — Dalian Neusoft University of Information, Department of Computer Science and Technology, China
Kai Wang 0014 — Tsinghua University, Research Institute of Information Technology, Beijing, China (and 3 more)
Kai Wang 0015 — Tianjin University, School of Computer Science and Technology, China
Kai Wang 0016 — Wuhan University, Department of Management Science and Engineering, Economics and Management School, China (and 1 more)
Kai Wang 0017 — Jiangnan University, School of Internet of Things Engineering, MOE Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China (and 2 more)
Kai Wang 0018 — City University of Hong Kong, Department of Computer Science, Hong Kong
Kai Wang 0019 — Xi'an Jiaotong University, School of Electrical and Information Engineering, China
Kai Wang 0020 — Southeast University, School of Information Science and Engineering, Nanjing, China
Kai Wang 0021 — Sichuan University, School of Manufacturing Science and Engineering, Chengdu, China
Kai Wang 0022 — University of Science and Technology of China, School of Humanities and Social Science, Hefei, China (and 1 more)
Kai Wang 0023 — Chinese Academy of Sciences, Shenyang Institute of Automation, China
Kai Wang 0024 — Central South University, School of Automation, Changsha, China (and 1 more)
Kai Wang 0026 — Georgia Southern University, Department of Computer Science, Statesboro, GA, USA
Kai Wang 0027 — Duke University, Durham, NC, USA
Kai Wang 0028 — Chinese University of Hong Kong, Hong Kong
Kai Wang 0029 — University of California, Los Angeles, USA (and 1 more)
Kai Wang 0030 — China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China
Kai Wang 0031 — China Three Gorges University, College of Electrical Engineering & New Energy, Yichang, China
Kai Wang 0032 — University of Electronic Science and Technology of China, Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China
Kai Wang 0033 — Sun Yat-Sen University-Carnegie Mellon University Joint Institute of Engineering, School of Electronics and Information Technology, Guangzhou, China
Kai Wang 0034 — Jiangsu University, National Research Center of Pumps and Pumping System Engineering and Technology, Zhenjiang, China
Kai Wang 0035 — Huaihai Institute of Technology, Business School, Lianyungang, China
Kai Wang 0036 — National University of Singapore, School of Computing, Singapore (and 2 more)
Kai Wang 0037 — Shanghai Jiao Tong University, China (and 1 more)
Kai Wang 0038 — National University of Kaohsiung, Department of Information Management, Taiwan (and 2 more)
Kai Wang 0039 — Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (and 2 more)
Kai Wang 0041 — Yunshan Networks, Beijing, China (and 1 more)
Kai Wang 0042 — Lanzhou University, School of Mathematics and Statistics, China
Kai Wang 0043 — Dalian Maritime University, College of Marine Engineering, China (and 1 more)
Kai Wang 0044 — University of Alberta, Department of Civil and Environmental Engineering, Edmonton, AB, Canada
Kai Wang 0045 — Bristol-Myers Squibb, San Diego, CA, US (and 3 more)
Kai Wang 0046 — Hong Kong University of Science and Technology, Department of Industrial Engineering and Decision Analytics, Hong Kong
Kai Wang 0047 — East China University of Science and Technology, School of Information Science and Engineering / MoE Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China
Kai Wang 0048 — Xinjiang University, School of Information Science and Engineering, Urumqi, China
Kai Wang 0049 — University of Pennsylvania, Department of Pathology, Philadelphia, PA, USA (and 4 more)
Kai Wang 0050 — Hong Kong Polytechnic University, Department of Applied Mathematics, Hong Kong
Kai Wang 0051 — Beijing Institute of Technology, School of Mathematics and Statistics, China
Kai Wang 0052 — Qingdao University, College of Automation and Electrical Engineering, China (and 1 more)
Kai Wang 0053 — University of Texas Southwestern Medical Center, Dallas, TX, USA (and 1 more)
Kai Wang 0054 — Stevens Institute of Technology, School of Business, Hoboken, NJ, USA
Kai Wang 0055 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
Kai Wang 0056 — Qilu Transportation Development Group Company Ltd., Jinan, China
Kai Wang 0057 — Dalian University of Technology, China
Kai Wang 0058 — University of Oregon, Eugene, OR, USA (and 2 more)
Kai Wang 0059 (aka: Shiaokai Wang) — Google (and 2 more)
Kai Wang 0060 — Autonomous University of Barcelona, Spain
Kai Wang 0061 — Harbin Institute of Technology, Department of Computer Science and Technology, China
Kai Wang 0062 — Fudan University, School of Computer Science, Laboratory for Data Analytics and Security, Shanghai, China

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2020 – today

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2024
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Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe:
What is the Right Notion of Distance between Predict-then-Optimize Tasks? CoRR abs/2409.06997 (2024)
2023
[c21]
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Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. AAAI 2023: 10131-10139
[c20]
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Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. AAAI 2023: 12138-12146
[c19]
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Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe:
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. AAMAS 2023: 1312-1320
[c18]
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  - conf/atal/Johnson-Yu0FTT23
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Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja, Milind Tambe:
Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. AAMAS 2023: 2908-2909
[c17]
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Sonja Johnson-Yu, Jessie Finocchiaro, Kai Wang, Yevgeniy Vorobeychik, Arunesh Sinha, Aparna Taneja, Milind Tambe:
Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. GameSec 2023: 133-152
2022
[c16]
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  - conf/aaai/0040XPRT22
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Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. AAAI 2022: 5219-5227
[c15]
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Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS 2022
[i7]
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  - journals/corr/abs-2202-00916
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Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. CoRR abs/2202.00916 (2022)
[i6]
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  - journals/corr/abs-2205-15372
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Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. CoRR abs/2205.15372 (2022)
2021
[c14]
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  - conf/aaai/XuBFP0T21
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Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI 2021: 14974-14982
[c13]
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Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe:
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS 2021: 8795-8806
[i5]
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  - journals/corr/abs-2106-03278
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Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. CoRR abs/2106.03278 (2021)
[i4]
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  - journals/corr/abs-2106-03279
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Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe:
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR abs/2106.03279 (2021)
[i3]
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  - journals/corr/abs-2107-03003
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Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. CoRR abs/2107.03003 (2021)
2020
[c12]
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  - conf/atal/WangPMT20
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Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe:
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS 2020: 1449-1457
[c11]
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  - conf/mabs/OuWDT20
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Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe:
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. MABS 2020: 54-65
[c10]
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Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. NeurIPS 2020
[c9]
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  - conf/uai/MukhopadhyayWPK20
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Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik:
Robust Spatial-Temporal Incident Prediction. UAI 2020: 360-369
[i2]
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  - journals/corr/abs-2006-10815
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Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. CoRR abs/2006.10815 (2020)
[i1]
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  - journals/corr/abs-2009-06560
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Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR abs/2009.06560 (2020)

2010 – 2019

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2019
[c8]
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  - conf/atal/KamraGWFLT19
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Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS 2019: 2042-2044
[c7]
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Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec 2019: 238-258
[c6]
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  - conf/pkdd/WangWSDT19
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Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) 2019: 555-569
[c5]
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  - conf/pkdd/CooneyGWLBT19
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Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe:
Mobile Game Theory with Street Gangs. PKDD/ECML Workshops (1) 2019: 579-589
[c4]
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  - conf/pkdd/CooneyWBNVWCGLT19
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Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe:
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) 2019: 725-740
2018
[c3]
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  - conf/aaai/XuWVT18
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Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI 2018: 1290-1297
[c2]
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Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An:
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS 2018: 919-927
[c1]
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  - conf/ijcai/McCarthyLWVST18
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Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe:
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI 2018: 454-460

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