Fei Fang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 184

Top Venues

Publications

Fa-ren Huo, Yi-ran Feng, Fei Fang
Legibility of variable message signs on foggy highway: Effect of text color and spacing. Displays 84 (2024)
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR (2024)
Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah
Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. CoRR (2023)
Zimeng Song, Chun Kai Ling, Fei Fang
Multi-defender Security Games with Schedules. CoRR (2023)
Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. ACM Multimedia (2023)
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)
Jia Chen, Haidongqing Yuan, Fei Fang, Tao Peng, Xinrong Hu
Unsupervised Fashion Style Learning by Solving Fashion Jigsaw Puzzles. ICME (2023)
Rex Chen, Kathleen M. Carley, Fei Fang, Norman M. Sadeh
Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? CoRR (2023)
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 (2023)
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
A Dataset on Malicious Paper Bidding in Peer Review. WWW (2023)
Xiaoxue Zhang, Sammy Tesfai, Fei Fang, Chen Qian
Poster: Measurement on Lightning Network Performance. ICNP (2023)
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 (2023)
Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu
Video Background Music Generation: Dataset, Method and Evaluation. ICCV (2023)
Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. CoRR (2023)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI (2023)
Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. CoRR (2023)
Boon-Giin Lee, Huimin Tang, Fei Fang
Enhancing Critical Thinking and Engagement through Puzzle Box Integration in Virtual Reality-based Digital Game-Based Learning. TALE (2023)
Yixuan Even Xu, Chun Kai Ling, Fei Fang
Learning Coalition Structures with Games. CoRR (2023)
Jiazhe Miao, Tao Peng, Fei Fang, Xinrong Hu, Ping Zhu, Feng Yu, Minghua Jiang
GVPM: Garment Simulation from Video Based on Priori Movements. CGI (3) (2023)
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)
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)
Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. CoRR (2023)
Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis
Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. SDM (2023)
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)
Mateo Dulce Rubio, Siqi Zeng, Qi Wang, Didier Alvarado, Francisco Moreno, Hoda Heidari, Fei Fang
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization. CoRR (2023)
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)
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)
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. CoRR (2023)
Yixuan Even Xu, Steven Jecmen, Zimeng Song, Fei Fang
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. CoRR (2023)
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)
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 (2023)
Chun Kai Ling, Fei Fang
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. CoRR (2022)
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)
Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss
Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. CoRR (2022)
Chun Kai Ling, Fei Fang
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. AAAI (2022)
Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. NeurIPS (2022)
Yang Guan, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. CoRR (2022)
Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts
Concadia: Towards Image-Based Text Generation with a Purpose. EMNLP (2022)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR (2022)
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)
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
A Dataset on Malicious Paper Bidding in Peer Review. CoRR (2022)
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara
Explainable Action Advising for Multi-Agent Reinforcement Learning. CoRR (2022)
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)
Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. IJCAI (2022)
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. CoRR (2022)
Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer
Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment. CoRR (2022)
Long Guo, Fei Fang, Binqiang Zhao, Bin Cui
UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM (2022)
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)
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)
Hongyao Ma, Fei Fang, David C. Parkes
Spatio-Temporal Pricing for Ridesharing Platforms. Oper. Res. 70 (2) (2022)
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) (2022)
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS (2022)
Alexandre Belloni, Fei Fang, Alexander Volfovsky
Neighborhood Adaptive Estimators for Causal Inference under Network Interference. CoRR (2022)
Fei Fang, Ziqing Li, Fei Luo, Chunxia Xiao
Discriminator Modification in GAN for Text-to-Image Generation. ICME (2022)
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR (2022)
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 (2022)
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)
Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. CoRR (2022)
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 (2022)
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 (2022)
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI (2022)
Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
A Survey of Explainable Reinforcement Learning. CoRR (2022)
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. AAAI (2022)
Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CoRR (2022)
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 (2021)
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI (2021)
Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR (2021)
Fei Fang
AGNT SI: agents and multiagent systems for social good. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Jing Long, Fei Fang, Haibo Luo
A Survey of Machine Learning-based IoT Intrusion Detection Techniques. SmartCloud (2021)
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 (2021)
Jing Long, Fei Fang, Haibo Luo
A Novel GNN Model for Fraud Detection in Online Trading Activities. ICA3PP (2) (2021)
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)
Hoon Oh, Yanhan Tang, Zong Zhang, Alexandre Jacquillat, Fei Fang
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing. CoRR (2021)
Fei Fang
Game Theoretic Models for Cyber Deception. MTD@CCS (2021)
Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
Robust reinforcement learning under minimax regret for green security. UAI (2021)
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 (2021)
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)
Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang
Data-Driven Multimodal Patrol Planning for Anti-poaching. AAAI (2021)
Alison Hau, Fei Fang, Zheyuan Ryan Shi
Poster: Pallet Estimation for Food Bank Logistics Management. COMPASS (2021)
Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
Temporal Induced Self-Play for Stochastic Bayesian Games. CoRR (2021)
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) (2021)
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR (2021)
Han Deng, Fei Fang, Juan Chen, Yazhen Zhang
A Cloud Data Storage Technology for Alliance Blockchain Technology. BigDataSecurity (2021)
Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
Temporal Induced Self-Play for Stochastic Bayesian Games. IJCAI (2021)
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)
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI (2021)
Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. AAAI (2021)
Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang
A Recommender System for Crowdsourcing Food Rescue Platforms. WWW (2021)
Chun Kai Ling, Fei Fang, J. Zico Kolter
Deep Archimedean Copulas. CoRR (2020)
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) (2020)
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 (2020)
Chun Kai Ling, Fei Fang, J. Zico Kolter
Deep Archimedean Copulas. NeurIPS (2020)
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) (2020)
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)
Zheyuan Ryan Shi, Claire Wang, Fei Fang
Artificial Intelligence for Social Good: A Survey. CoRR (2020)
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
When to Follow the Tip: Security Games with Strategic Informants. IJCAI (2020)
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
Bandit Data-driven Optimization: AI for Social Good and Beyond. CoRR (2020)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fei Fang