Jieming Mao

102 papers A* 41A 3Journal 54Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Scientific Research with Gemini: Case Studies and Common Techniques.
CoRR
David P. Woodruff, Vincent Cohen-Addad, Lalit Jain, Jieming Mao, Song Zuo, MohammadHossein Bateni, Simina Brânzei, Michael P. Brenner, Lin Chen, Ying Feng, Lance Fortnow, Gang Fu, Ziyi Guan, Zahra Hadizadeh, Mohammad T. Hajiaghayi, Mahdi JafariRaviz, Adel Javanmard, Karthik C. S., Ken-ichi Kawarabayashi, Ravi Kumar, Silvio Lattanzi, Euiwoong Lee, Yi Li, Ioannis Panageas, Dimitris Paparas, Benjamin Przybocki, Bernardo Subercaseaux, Ola Svensson, Shayan Taherijam, Xuan Wu, Eylon Yogev, Morteza Zadimoghaddam, Samson Zhou, Yossi Matias, James Manyika, Vahab Mirrokni
2026 A* conf
Additively Competitive Secretaries.
WWW
Mohammad Mahdian, Jieming Mao, Enze Sun, Kangning Wang, Yifan Wang
2026 J jnl
Additively Competitive Secretaries.
CoRR
Mohammad Mahdian, Jieming Mao, Enze Sun, Kangning Wang, Yifan 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
2025 J jnl
A New Benchmark for Online Learning with Budget-Balancing Constraints.
CoRR
Mark Braverman, Jingyi Liu, Jieming Mao, Jon Schneider, Eric Xue
2025 A* conf
Approximately Efficient Bilateral Trade with Samples.
EC
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang, Jinzhao Wu
2025 J jnl
Approximately Efficient Bilateral Trade with Samples.
CoRR
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang, Jinzhao Wu
2025 A* conf
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model.
ICML
Rachel Cummings, Alessandro Epasto, Jieming Mao, Tamalika Mukherjee, Tingting Ou, Peilin Zhong
2025 J jnl
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model.
CoRR
Rachel Cummings, Alessandro Epasto, Jieming Mao, Tamalika Mukherjee, Tingting Ou, Peilin Zhong
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
2025 A* conf
Retraining with Predicted Hard Labels Provably Increases Model Accuracy.
ICML
Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong
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 A* conf
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency.
NeurIPS
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2024 A* conf
Efficiency of the First-Price Auction in the Autobidding World.
NeurIPS
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2024 A* conf
Efficiency of the Generalized Second-Price Auction for Value Maximizers.
WWW
Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2024 — conf
Leveraging Spatial Characteristics in Trajectory Compression: An Angle-Based Bounded-Error Method.
ICPCSEE (2)
Yongcheng Liu, Xue Ouyang, Huan Zhou, Weichen Peng, Jieming Mao, Yongke Pan
2024 A* conf
Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study.
WWW
Yuan Deng, Jieming Mao, Vahab Mirrokni, Yifeng Teng, Song Zuo
2024 A* conf
Optimal Mechanisms for a Value Maximizer: The Futility of Screening Targets.
EC
Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab Mirrokni, Song Zuo
2024 J jnl
Retraining with Predicted Hard Labels Provably Increases Model Accuracy.
CoRR
Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong
2023 A* conf
Autobidding Auctions in the Presence of User Costs.
WWW
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2023 J jnl
Autobidding Auctions in the Presence of User Costs.
CoRR
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2023 A conf
Differentially Private Continual Releases of Streaming Frequency Moment Estimations.
ITCS
Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
Differentially Private Continual Releases of Streaming Frequency Moment Estimations.
CoRR
Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
Efficiency of the Generalized Second-Price Auction for Value Maximizers.
CoRR
Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2023 J jnl
Learning across Data Owners with Joint Differential Privacy.
CoRR
Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni
2023 J jnl
Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study.
CoRR
Yuan Deng, Jieming Mao, Vahab Mirrokni, Yifeng Teng, Song Zuo
2023 A* conf
Optimal Pricing Schemes for an Impatient Buyer.
SODA
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
2023 A* conf
Regret Minimization with Noisy Observations.
EC
Mohammad Mahdian, Jieming Mao, Kangning Wang
2022 A* conf
Approximately efficient bilateral trade.
STOC
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
2022 J jnl
Efficiency of the First-Price Auction in the Autobidding World.
CoRR
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
2022 J jnl
Exponential Separations in Local Privacy.
ACM Trans. Algorithms
Matthew Joseph, Jieming Mao, Aaron Roth
2022 A conf
Interactive Communication in Bilateral Trade.
ITCS
Jieming Mao, Renato Paes Leme, Kangning Wang
2022 A* conf
Optimal Mechanisms for Value Maximizers with Budget Constraints via Target Clipping.
EC
Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo
2022 J jnl
Regret Minimization with Noisy Observations.
CoRR
Mohammad Mahdian, Jieming Mao, Kangning Wang
2022 A* conf
Shuffle Private Stochastic Convex Optimization.
ICLR
Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng
2021 J jnl
Approximately Efficient Bilateral Trade.
CoRR
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
2021 J jnl
Combinatorial Assortment Optimization.
ACM Trans. Economics and Comput.
Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos
2021 A* conf
Connecting Robust Shuffle Privacy and Pan-Privacy.
SODA
Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao
2021 J jnl
Interactive Communication in Bilateral Trade.
CoRR
Jieming Mao, Renato Paes Leme, Kangning Wang
2021 J jnl
Optimal Pricing Schemes for an Impatient Buyer.
CoRR
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
2021 A* conf
Robust Auction Design in the Auto-bidding World.
NeurIPS
Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo
2021 J jnl
Robust Auction Design in the Auto-bidding World.
CoRR
Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo
2021 J jnl
Shuffle Private Stochastic Convex Optimization.
CoRR
Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng
2021 A* conf
The Landscape of Auto-bidding Auctions: Value versus Utility Maximization.
EC
Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo
2021 A* conf
Towards Efficient Auctions in an Auto-bidding World.
WWW
Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo
2021 J jnl
Towards Efficient Auctions in an Auto-bidding World.
CoRR
Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo
2021 A* conf
Welfare-maximizing Guaranteed Dashboard Mechanisms.
EC
Yuan Deng, Jason D. Hartline, Jieming Mao, Balasubramanian Sivan
2020 J jnl
Connecting Robust Shuffle Privacy and Pan-Privacy.
CoRR
Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao
2020 A* conf
Exponential Separations in Local Differential Privacy.
SODA
Matthew Joseph, Jieming Mao, Aaron Roth
2020 A* conf
Incentivizing Exploration with Selective Data Disclosure.
EC
Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2020 A* conf
Pan-Private Uniformity Testing.
COLT
Kareem Amin, Matthew Joseph, Jieming Mao
2020 A* conf
Smoothly Bounding User Contributions in Differential Privacy.
NeurIPS
Alessandro Epasto, Mohammad Mahdian, Jieming Mao, Vahab S. Mirrokni, Lijie Ren
2019 A* conf
Bayesian Exploration with Heterogeneous Agents.
WWW
Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2019 J jnl
Bayesian Exploration with Heterogeneous Agents.
CoRR
Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2019 A* conf
Differentially Private Fair Learning.
ICML
Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
2019 A* conf
Diversity and Exploration in Social Learning.
WWW
Nicole Immorlica, Jieming Mao, Christos Tzamos
2019 J jnl
Diversity and Exploration in Social Learning.
CoRR
Nicole Immorlica, Jieming Mao, Christos Tzamos
2019 J jnl
Exponential Separations in Local Differential Privacy Through Communication Complexity.
CoRR
Matthew Joseph, Jieming Mao, Aaron Roth
2019 A* conf
Locally Private Gaussian Estimation.
NeurIPS
Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Zhiwei Steven Wu
2019 A* conf
Multi-armed Bandit Problems with Strategic Arms.
COLT
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2019 J jnl
Pan-Private Uniformity Testing.
CoRR
Kareem Amin, Matthew Joseph, Jieming Mao
2019 A* conf
Sorted Top-k in Rounds.
COLT
Mark Braverman, Jieming Mao, Yuval Peres
2019 J jnl
Sorted Top-k in Rounds.
CoRR
Mark Braverman, Jieming Mao, Yuval Peres
2019 A* conf
The Role of Interactivity in Local Differential Privacy.
FOCS
Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth
2019 J jnl
The Role of Interactivity in Local Differential Privacy.
CoRR
Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth
2018 A* conf
A Nearly Instance Optimal Algorithm for Top-
SODA
Xi Chen, Yuanzhi Li, Jieming Mao
2018 — —
Algorithms in Strategic or Noisy Environments
Jieming Mao
2018 — conf
Combinatorial Assortment Optimization.
WINE
Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos
2018 A* conf
Contextual Pricing for Lipschitz Buyers.
NeurIPS
Jieming Mao, Renato Paes Leme, Jon Schneider
2018 J jnl
Differentially Private Fair Learning.
CoRR
Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
2018 J jnl
Incentivizing Exploration with Unbiased Histories.
CoRR
Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2018 J jnl
Locally Private Gaussian Estimation.
CoRR
Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Zhiwei Steven Wu
2018 J jnl
Near-Optimal Bounds on the Bounded-Round Quantum Communication Complexity of Disjointness.
SIAM J. Comput.
Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette
2018 A* conf
On Simultaneous Two-player Combinatorial Auctions.
SODA
Mark Braverman, Jieming Mao, S. Matthew Weinberg
2018 J jnl
Optimal Instance Adaptive Algorithm for the Top-K Ranking Problem.
IEEE Trans. Inf. Theory
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2018 A* conf
Selling to a No-Regret Buyer.
EC
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2017 J jnl
A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model.
CoRR
Xi Chen, Yuanzhi Li, Jieming Mao
2017 J jnl
Coding for Interactive Communication Correcting Insertions and Deletions.
IEEE Trans. Inf. Theory
Mark Braverman, Ran Gelles, Jieming Mao, Rafail Ostrovsky
2017 J jnl
Combinatorial Assortment Optimization.
CoRR
Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos
2017 A* conf
Competitive analysis of the top-
SODA
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2017 J jnl
Multi-armed Bandit Problems with Strategic Arms.
CoRR
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2017 J jnl
On Simultaneous Two-player Combinatorial Auctions.
CoRR
Mark Braverman, Jieming Mao, S. Matthew Weinberg
2017 J jnl
Selling to a No-Regret Buyer.
CoRR
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2016 A* conf
Coding for Interactive Communication Correcting Insertions and Deletions.
ICALP
Mark Braverman, Ran Gelles, Jieming Mao, Rafail Ostrovsky
2016 J jnl
Competitive analysis of the top-K ranking problem.
CoRR
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2016 A* conf
Interpolating Between Truthful and non-Truthful Mechanisms for Combinatorial Auctions.
SODA
Mark Braverman, Jieming Mao, S. Matthew Weinberg
2016 J jnl
Parallel Algorithms for Select and Partition with Noisy Comparisons.
CoRR
Mark Braverman, Jieming Mao, S. Matthew Weinberg
2016 A* conf
Parallel algorithms for select and partition with noisy comparisons.
STOC
Mark Braverman, Jieming Mao, S. Matthew Weinberg
2015 J jnl
Coding for interactive communication correcting insertions and deletions.
CoRR
Mark Braverman, Ran Gelles, Jieming Mao, Rafail Ostrovsky
2015 J jnl
Interpolating Between Truthful and non-Truthful Mechanisms for Combinatorial Auctions.
CoRR
Mark Braverman, Jieming Mao, S. Matthew Weinberg
2015 A* conf
Near-Optimal Bounds on Bounded-Round Quantum Communication Complexity of Disjointness.
FOCS
Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette
2015 J jnl
Near-optimal bounds on bounded-round quantum communication complexity of disjointness.
CoRR
Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette
2015 J jnl
Near-optimal bounds on bounded-round quantum communication complexity of disjointness.
Electron. Colloquium Comput. Complex.
Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette
2015 A conf
Simulating Noisy Channel Interaction.
ITCS
Mark Braverman, Jieming Mao
2014 J jnl
Simulating Noisy Channel Interaction.
CoRR
Mark Braverman, Jieming Mao
2014 J jnl
Simulating Noisy Channel Interaction.
Electron. Colloquium Comput. Complex.
Mark Braverman, Jieming Mao
2014 J jnl
Tighter Relations Between Sensitivity and Other Complexity Measures.
CoRR
Andris Ambainis, Mohammad Bavarian, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo
2014 J jnl
Tighter Relations Between Sensitivity and Other Complexity Measures.
Electron. Colloquium Comput. Complex.
Andris Ambainis, Mohammad Bavarian, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo
2014 — conf
Tighter Relations between Sensitivity and Other Complexity Measures.
ICALP (1)
Andris Ambainis, Mohammad Bavarian, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo
2013 J jnl
New upper bound on block sensitivity and certificate complexity in terms of sensitivity.
CoRR
Andris Ambainis, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo
2013 J jnl
On the sensitivity complexity of bipartite graph properties.
Theor. Comput. Sci.
Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo