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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2023
[j28]Jing Long, Fei Fang, Cuiting Luo, Yehua Wei, Tien-Hsiung Weng:
MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance. Connect. Sci. 35(1) (2023)- [c106]Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. AAAI 2023: 4614-4622 - [c105]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI 2023: 5764-5772 - [c104]Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang:
NewsPanda: Media Monitoring for Timely Conservation Action. AAAI 2023: 15528-15536 - [c103]Stephanie Milani
, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann:
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CHI 2023: 572:1-572:18 - [c102]Jia Chen, Haidongqing Yuan, Fei Fang, Tao Peng, Xinrong Hu:
Unsupervised Fashion Style Learning by Solving Fashion Jigsaw Puzzles. ICME 2023: 1847-1852 - [c101]Jia Chen, Zhenpeng Fu, Fei Fang, Mingfu Xiong, Xinrong Hu, Tao Peng:
Cross-cycle Transformer-based Stitching Method for Low-resolution Borehole Images. ICME 2023: 1919-1924 - [c100]Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara:
Explainable Action Advising for Multi-Agent Reinforcement Learning. ICRA 2023: 5515-5521 - [c99]Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. WWW (Companion Volume) 2023: 346-350 - [c98]Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang:
A Dataset on Malicious Paper Bidding in Peer Review. WWW 2023: 3816-3826 - [e5]Fei Fang, Haifeng Xu, Yezekael Hayel:
Decision and Game Theory for Security - 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings. Lecture Notes in Computer Science 13727, Springer 2023, ISBN 978-3-031-26368-2 [contents] - [i56]Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. CoRR abs/2302.14438 (2023) - [i55]Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann:
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CoRR abs/2303.02160 (2023) - [i54]Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran:
Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. CoRR abs/2304.06011 (2023) - [i53]Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang:
NewsPanda: Media Monitoring for Timely Conservation Action. CoRR abs/2305.01503 (2023) - [i52]Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah:
Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. CoRR abs/2307.05443 (2023) - [i51]Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan:
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. CoRR abs/2308.02915 (2023) - 2022
- [j27]Hongyao Ma, Fei Fang, David C. Parkes:
Spatio-Temporal Pricing for Ridesharing Platforms. Oper. Res. 70(2): 1025-1041 (2022) - [j26]Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu:
Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 76-90 (2022) - [c97]Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. AAAI 2022: 5116-5123 - [c96]Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. AAAI 2022: 12154-12162 - [c95]Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. AAMAS 2022: 1642-1644 - [c94]Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM 2022: 3122-3130 - [c93]Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CIKM 2022: 3674-3683 - [c92]Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts:
Concadia: Towards Image-Based Text Generation with a Purpose. EMNLP 2022: 4667-4684 - [c91]Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. HCOMP 2022: 102-113 - [c90]Fei Fang, Ziqing Li, Fei Luo, Chengjiang Long, Shenghong Hu, Chunxia Xiao:
PhraseGAN: Phrase-Boost Generative Adversarial Network for Text-to-Image Generation. ICME 2022: 1-6 - [c89]Fei Fang, Ziqing Li, Fei Luo, Chunxia Xiao:
Discriminator Modification in GAN for Text-to-Image Generation. ICME 2022: 1-6 - [c88]Rex Chen, Fei Fang, Norman M. Sadeh:
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. ATT@IJCAI 2022: 14-31 - [c87]Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao:
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. IJCAI 2022: 3099-3106 - [c86]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI 2022: 5206-5212 - [c85]Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao:
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS 2022 - [c84]Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu:
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS 2022 - [c83]Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin:
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. NeurIPS 2022 - [c82]Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang:
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning. ECML/PKDD (4) 2022: 251-266 - [e4]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13087, Springer 2022, ISBN 978-3-030-95404-8 [contents] - [e3]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9 [contents] - [e2]Francisco S. Melo, Fei Fang:
Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2022 Workshops, Virtual Event, May 9-13, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13441, Springer 2022, ISBN 978-3-031-20178-3 [contents] - [i50]Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang:
A Survey of Explainable Reinforcement Learning. CoRR abs/2202.08434 (2022) - [i49]Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao:
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. CoRR abs/2202.09514 (2022) - [i48]Yang Guan, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin:
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. CoRR abs/2203.16406 (2022) - [i47]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR abs/2205.05659 (2022) - [i46]Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss:
Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. CoRR abs/2205.09172 (2022) - [i45]Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang:
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning. CoRR abs/2205.12449 (2022) - [i44]Rex Chen, Fei Fang, Norman M. Sadeh:
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. CoRR abs/2206.11996 (2022) - [i43]Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang:
A Dataset on Malicious Paper Bidding in Peer Review. CoRR abs/2207.02303 (2022) - [i42]Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer:
Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment. CoRR abs/2207.11315 (2022) - [i41]Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. CoRR abs/2208.05728 (2022) - [i40]Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CoRR abs/2208.11457 (2022) - [i39]Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu:
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. CoRR abs/2210.01380 (2022) - [i38]Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao:
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR abs/2210.10195 (2022) - [i37]Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara:
Explainable Action Advising for Multi-Agent Reinforcement Learning. CoRR abs/2211.07882 (2022) - [i36]Alexandre Belloni, Fei Fang, Alexander Volfovsky:
Neighborhood Adaptive Estimators for Causal Inference under Network Interference. CoRR abs/2212.03683 (2022) - [i35]Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. CoRR abs/2212.14317 (2022) - [i34]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR abs/2212.14431 (2022) - 2021
- [j25]Fei Fang:
AGNT SI: agents and multiagent systems for social good. Auton. Agents Multi Agent Syst. 35(2): 43 (2021) - [j24]Fei Fang, Tri-Dung Nguyen, Christine S. M. Currie:
Joint pricing and inventory decisions for substitutable and perishable products under demand uncertainty. Eur. J. Oper. Res. 293(2): 594-602 (2021) - [c81]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI 2021: 9923-9931 - [c80]Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav:
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. AAAI 2021: 14748-14756 - [c79]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 - [c78]Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang:
Data-Driven Multimodal Patrol Planning for Anti-poaching. AAAI 2021: 15270-15277 - [c77]Han Deng, Fei Fang, Juan Chen, Yazhen Zhang:
A Cloud Data Storage Technology for Alliance Blockchain Technology. BigDataSecurity 2021: 174-179 - [c76]Fei Fang:
Game Theoretic Models for Cyber Deception. MTD@CCS 2021: 23-24 - [c75]Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu:
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI 2021: 185-205 - [c74]Alison Hau, Fei Fang, Zheyuan Ryan Shi:
Poster: Pallet Estimation for Food Bank Logistics Management. COMPASS 2021: 385-388 - [c73]Jing Long, Fei Fang, Haibo Luo:
A Novel GNN Model for Fraud Detection in Online Trading Activities. ICA3PP (2) 2021: 603-614 - [c72]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR 2021 - [c71]Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang:
Temporal Induced Self-Play for Stochastic Bayesian Games. IJCAI 2021: 96-103 - [c70]Jing Long, Fei Fang, Haibo Luo:
A Survey of Machine Learning-based IoT Intrusion Detection Techniques. SmartCloud 2021: 7-12 - [c69]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust reinforcement learning under minimax regret for green security. UAI 2021: 257-267 - [c68]Rex Chen, Fei Fang, Thomas B. Norton, Aleecia M. McDonald, Norman M. Sadeh:
Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA. WPES@CCS 2021: 73-102 - [c67]Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang:
A Recommender System for Crowdsourcing Food Rescue Platforms. WWW 2021: 857-865 - [i33]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR abs/2102.13045 (2021) - [i32]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR abs/2103.04564 (2021) - [i31]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR abs/2106.08413 (2021) - [i30]Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. CoRR abs/2108.06371 (2021) - [i29]Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang:
Temporal Induced Self-Play for Stochastic Bayesian Games. CoRR abs/2108.09444 (2021) - [i28]Rex Chen, Fei Fang, Thomas B. Norton, Aleecia M. McDonald, Norman M. Sadeh:
Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA. CoRR abs/2109.13816 (2021) - [i27]Hoon Oh, Yanhan Tang, Zong Zhang, Alexandre Jacquillat, Fei Fang:
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing. CoRR abs/2110.01152 (2021) - 2020
- [j23]Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. AI Mag. 41(4): 3-16 (2020) - [j22]Fei Fang, Fei Luo, Hongpan Zhang, Hua-Jian Zhou, Alix L. H. Chow, Chunxia Xiao:
A Comprehensive Pipeline for Complex Text-to-Image Synthesis. J. Comput. Sci. Technol. 35(3): 522-537 (2020) - [j21]Jie Xu, Chen He, Jing Su, Yuanxiang Zeng, Zixian Wang, Fei Fang, Wenhui Tang:
Chinese researchers' perceptions and use of open access journals: Results of an online questionnaire survey. Learn. Publ. 33(3): 246-258 (2020) - [j20]Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. Proc. VLDB Endow. 14(3): 320-328 (2020) - [j19]Hongyao Ma, Fei Fang, David C. Parkes:
Spatio-temporal pricing for ridesharing platforms. SIGecom Exch. 18(2): 53-57 (2020) - [c66]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. AAAI 2020: 1369-1377 - [c65]Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, Fei Fang:
Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK. AAAI 2020: 13363-13368 - [c64]Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang:
Improving Efficiency of Volunteer-Based Food Rescue Operations. AAAI 2020: 13369-13375 - [c63]Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang:
Green Security Game with Community Engagement. AAMAS 2020: 529-537 - [c62]Xiaoting Du, Fei Fang:
Optimal design of CCHP microgrid based on multi-objective genetic algorithm. CACRE 2020: 478-482 - [c61]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in the Feature Deception Problem. GameSec 2020: 23-44 - [c60]Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec 2020: 147-167 - [c59]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR 2020 - [c58]Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang:
When to Follow the Tip: Security Games with Strategic Informants. IJCAI 2020: 371-377 - [c57]Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang:
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. NeurIPS 2020 - [c56]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. NeurIPS 2020 - [p1]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Phebe Vayanos:
Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. Adaptive Autonomous Secure Cyber Systems 2020: 183-204 - [i26]Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR abs/2001.00088 (2020) - [i25]Zheyuan Ryan Shi, Claire Wang, Fei Fang:
Artificial Intelligence for Social Good: A Survey. CoRR abs/2001.01818 (2020) - [i24]Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang:
Green Security Game with Community Engagement. CoRR abs/2002.09126 (2020) - [i23]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. CoRR abs/2003.10423 (2020) - [i22]Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang:
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. CoRR abs/2006.16437 (2020) - [i21]Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao:
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning. CoRR abs/2008.02122 (2020) - [i20]Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-driven Optimization: AI for Social Good and Beyond. CoRR abs/2008.11707 (2020) - [i19]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) - [i18]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. CoRR abs/2012.03137 (2020)
2010 – 2019
- 2019
- [j18]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [j17]Fei Fang, Chao Ji:
On a fractional Schrödinger equation with periodic potential. Comput. Math. Appl. 78(5): 1517-1530 (2019) - [c55]Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. AAAI 2019: 1401-1408 - [c54]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI 2019: 2020-2028 - [c53]Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell:
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. AAAI 2019: 4213-4220 - [c52]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI 2019: 6104-6111 - [c51]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. AAMAS 2019: 1838-1840 - [c50]Taoan Huang, Bohui Fang, Hoon Oh, Xiaohui Bei, Fei Fang:
Optimal Trip-Vehicle Dispatch with Multi-Type Requests. AAMAS 2019: 2024-2026 - [c49]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 - [c48]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Using Game Theory in Real Time in the Real World: A Conservation Case Study. AAMAS 2019: 2336-2338 - [c47]Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu:
Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress. CODES+ISSS 2019: 15:1-15:2 - [c46]Hongyao Ma, Fei Fang, David C. Parkes:
Spatio-Temporal Pricing for Ridesharing Platforms. EC 2019: 583 - [c45]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 - [c44]Omkar Thakoor, Milind Tambe,