Zhe Feng - RankMe

64 papers A* 20A 3Journal 39Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	How to Strategize Human Content Creation in the Era of GenAI? WWW Seyed A. Esmaeili, Kevin Lim, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu
2026	J	`jnl`	One Model, Two Markets: Bid-Aware Generative Recommendation. CoRR Yanchen Jiang, Zhe Feng, Christopher P. Mah, Aranyak Mehta, Di Wang
2026	A*	`conf`	Position Auctions in AI-Generated Content. WWW Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Di Wang, Song Zuo
2026	J	`jnl`	Scaling Inference-Time Computation via Opponent Simulation: Enabling Online Strategic Adaptation in Repeated Negotiation. CoRR Xiangyu Liu, Di Wang, Zhe Feng, Aranyak Mehta
2025	J	`jnl`	A Unified Approach to Submodular Maximization Under Noise. CoRR Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
2025	J	`jnl`	Incentive-Aligned Multi-Source LLM Summaries. CoRR Yanchen Jiang, Zhe Feng, Aranyak Mehta
2025	J	`jnl`	On the Coordination of Value-Maximizing Bidders. CoRR Yanru Guan, Jiahao Zhang, Zhe Feng, Tao Lin
2025	A*	`conf`	Online Bidding under RoS Constraints without Knowing the Value. WWW Sushant Vijayan, Zhe Feng, Swati Padmanabhan, Karthikeyan Shanmugam, Arun Suggala, Di Wang
2025	J	`jnl`	Online Bidding under RoS Constraints without Knowing the Value. CoRR Sushant Vijayan, Zhe Feng, Swati Padmanabhan, Karthikeyan Shanmugam, Arun Suggala, Di Wang
2025	J	`jnl`	Position Auctions in AI-Generated Content. CoRR Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Di Wang, Song Zuo
2024	A*	`conf`	A Field Guide for Pacing Budget and ROS Constraints. ICML Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang
2024	A*	`conf`	Auctions with LLM Summaries. KDD Avinava Dubey, Zhe Feng, Rahul Kidambi, Aranyak Mehta, Di Wang
2024	J	`jnl`	Auctions with LLM Summaries. CoRR Kumar Avinava Dubey, Zhe Feng, Rahul Kidambi, Aranyak Mehta, Di Wang
2024	J	`jnl`	Auto-Bidding and Auctions in Online Advertising: A Survey. SIGecom Exch. Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
2024	J	`jnl`	Auto-bidding and Auctions in Online Advertising: A Survey. CoRR Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
2024	J	`jnl`	Deep Reinforcement Learning for Sequential Combinatorial Auctions. CoRR Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes
2024	J	`jnl`	How to Strategize Human Content Creation in the Era of GenAI? CoRR Seyed A. Esmaeili, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu
2024	J	`jnl`	Improved Online Learning Algorithms for CTR Prediction in Ad Auctions. CoRR Zhe Feng, Christopher Liaw, Zixin Zhou
2024	A*	`conf`	Learning Thresholds with Latent Values and Censored Feedback. ICLR Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
2024	J	`jnl`	Optimal Auctions through Deep Learning: Advances in Differentiable Economics. J. ACM Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2024	A	`conf`	The Average-Value Allocation Problem. APPROX/RANDOM Kshipra Bhawalkar, Zhe Feng, Anupam Gupta, Aranyak Mehta, David Wajc, Di Wang
2024	J	`jnl`	The Average-Value Allocation Problem. CoRR Kshipra Bhawalkar, Zhe Feng, Anupam Gupta, Aranyak Mehta, David Wajc, Di Wang
2024	A*	`conf`	User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization. WWW Yang Cai, Zhe Feng, Christopher Liaw, Aranyak Mehta, Grigoris Velegkas
2023	A*	`conf`	Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. NeurIPS Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu
2023	J	`jnl`	Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. CoRR Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
2023	A*	`conf`	Improved Online Learning Algorithms for CTR Prediction in Ad Auctions. ICML Zhe Feng, Christopher Liaw, Zixin Zhou
2023	J	`jnl`	Joint Feedback Loop for Spend and Return-On-Spend Constraints. CoRR Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang
2023	J	`jnl`	Learning Thresholds with Latent Values and Censored Feedback. CoRR Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
2023	A*	`conf`	Learning to Bid in Contextual First Price Auctions✱. WWW Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
2023	A*	`conf`	Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱. WWW Zhe Feng, Swati Padmanabhan, Di Wang
2023	J	`jnl`	User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization. CoRR Yang Cai, Zhe Feng, Christopher Liaw, Aranyak Mehta
2022	A*	`conf`	A Context-Integrated Transformer-Based Neural Network for Auction Design. ICML Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
2022	J	`jnl`	A Context-Integrated Transformer-Based Neural Network for Auction Design. CoRR Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
2022	A*	`conf`	Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. NeurIPS Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu
2022	J	`jnl`	Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. CoRR Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li, Haifeng Xu
2022	J	`jnl`	Online Bidding Algorithms for Return-on-Spend Constrained Advertisers. CoRR Zhe Feng, Swati Padmanabhan, Di Wang
2022	A*	`conf`	Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. EC Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
2022	J	`jnl`	Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. CoRR Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
2021	A*	`conf`	Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. AAAI Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi
2021	J	`jnl`	Deep Learning for Two-Sided Matching. CoRR Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, David C. Parkes
2021	J	`jnl`	Learning to Bid in Contextual First Price Auctions. CoRR Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
2021	J	`jnl`	Optimal auctions through deep learning. Commun. ACM Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2021	A*	`conf`	Reserve Price Optimization for First Price Auctions in Display Advertising. ICML Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye
2021	J	`jnl`	Robust Clearing Price Mechanisms for Reserve Price Optimization. CoRR Zhe Feng, Sébastien Lahaie
2021	J	`jnl`	Understanding PPA-completeness. J. Comput. Syst. Sci. Xiaotie Deng, Jack R. Edmonds, Zhe Feng, Zhengyang Liu, Qi Qi, Zeying Xu
2021	—	`conf`	Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss. WINE Vincent Conitzer, Zhe Feng, David C. Parkes, Eric Sodomka
2020	J	`jnl`	Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. CoRR Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi
2020	J	`jnl`	Reserve Price Optimization for First Price Auctions. CoRR Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye
2020	A*	`conf`	The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation. ICML Zhe Feng, David C. Parkes, Haifeng Xu
2020	J	`jnl`	Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss. CoRR Vincent Conitzer, Zhe Feng, David C. Parkes, Eric Sodomka
2019	J	`jnl`	Online Learning for Measuring Incentive Compatibility in Ad Auctions. CoRR Zhe Feng, Okke Schrijvers, Eric Sodomka
2019	A*	`conf`	Online Learning for Measuring Incentive Compatibility in Ad Auctions? WWW Zhe Feng, Okke Schrijvers, Eric Sodomka
2019	A*	`conf`	Optimal Auctions through Deep Learning. ICML Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2019	J	`jnl`	The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation. CoRR Zhe Feng, David C. Parkes, Haifeng Xu
2018	J	`jnl`	An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions. SIAM J. Sci. Comput. Zhe Feng, Jinglai Li
2018	A	`conf`	Deep Learning for Revenue-Optimal Auctions with Budgets. AAMAS Zhe Feng, Harikrishna Narasimhan, David C. Parkes
2018	A*	`conf`	Learning to Bid Without Knowing your Value. EC Zhe Feng, Chara Podimata, Vasilis Syrgkanis
2017	J	`jnl`	Learning to Bid Without Knowing your Value. CoRR Zhe Feng, Chara Podimata, Vasilis Syrgkanis
2017	J	`jnl`	Octahedral Tucker is PPA-Complete. Electron. Colloquium Comput. Complex. Xiaotie Deng, Zhe Feng, Rucha Kulkarni
2017	J	`jnl`	Optimal Auctions through Deep Learning. CoRR Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes
2016	—	`conf`	Power-Law Distributions in a Two-Sided Market and Net Neutrality. WINE Xiaotie Deng, Zhe Feng, Christos H. Papadimitriou
2016	J	`jnl`	Power-Law Distributions in a Two-sided Market and Net Neutrality. CoRR Xiaotie Deng, Zhe Feng, Christos H. Papadimitriou
2016	A	`conf`	Understanding PPA-Completeness. CCC Xiaotie Deng, Jack R. Edmonds, Zhe Feng, Zhengyang Liu, Qi Qi, Zeying Xu
2015	J	`jnl`	Understanding PPA-Completeness. Electron. Colloquium Comput. Complex. Xiaotie Deng, Zhe Feng, Zhengyang Liu, Qi Qi