SPRING: A Strategy-proof and Privacy preserving spectrum auction mechanism. - Qianyi Huang; Yixin Tao; Fan Wu 006 (INFOCOM, 2013)

Generalized second price auction with probabilistic broad match. - Wei Chen 034; Di He 001; Tie-Yan Liu; Tao Qin 001; Yixin Tao; Liwei Wang 001 (EC, 2014)

The Price of Anarchy of Large Walrasian Auctions. - Richard Cole 001; Yixin Tao (CoRR, 2015)

Towards Privacy Preservation in Strategy-Proof Spectrum Auction Mechanisms for Noncooperative Wireless Networks. - Fan Wu 006; Qianyi Huang; Yixin Tao; Guihai Chen (IEEE/ACM Trans. Netw., 2015)

Large Market Games with Near Optimal Efficiency. - Richard Cole 001; Yixin Tao (EC, 2016)

Dynamics of Distributed Updating in Fisher Markets. - Yun Kuen Cheung; Richard Cole 001; Yixin Tao (EC, 2018)

An Analysis of Asynchronous Stochastic Accelerated Coordinate Descent. - Richard Cole 001; Yixin Tao (CoRR, 2018)

(Near) Optimal Parallelism Bound for Fully Asynchronous Coordinate Descent with Linear Speedup. - Yun Kuen Cheung; Richard Cole 001; Yixin Tao (CoRR, 2018)

Balancing the Robustness and Convergence of Tatonnement. - Richard Cole 001; Yixin Tao (CoRR, 2019)

Market Efficiency and Dynamics. - Yixin Tao (2020)

Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions. - Yun Kuen Cheung; Yixin Tao (ICLR, 2021)

Selecting a Match: Exploration vs Decision. - Ishan Agarwal; Richard Cole 001; Yixin Tao (CoRR, 2021)

On the existence of Pareto Efficient and envy-free allocations. - Richard Cole 001; Yixin Tao (J. Econ. Theory, 2021)

Fully asynchronous stochastic coordinate descent: a tight lower bound on the parallelism achieving linear speedup. - Yun Kuen Cheung; Richard Cole 001; Yixin Tao (Math. Program., 2021)

Parallel Stochastic Asynchronous Coordinate Descent: Tight Bounds on the Possible Parallelism. - Yun Kuen Cheung; Richard J. Cole; Yixin Tao (SIAM J. Optim., 2021)

The Evolution of Uncertainty of Learning in Games. - Yun Kuen Cheung; Georgios Piliouras; Yixin Tao (ICLR, 2022)

Approximating Equilibrium under Constrained Piecewise Linear Concave Utilities with Applications to Matching Markets. - Jugal Garg; Yixin Tao; László A. Végh (SODA, 2022)

Mode Connectivity in Auction Design. - Christoph Hertrich; Yixin Tao; László A. Végh (NeurIPS, 2023)

A First Order Method for Linear Programming Parameterized by Circuit Imbalance. - Richard Cole 001; Christoph Hertrich; Yixin Tao; László A. Végh (IPCO, 2024)

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning. - Xinyu Shi; Yixin Tao; Shih-Chi Lin (CoRR, 2024)

Proportional Response Dynamics in Gross Substitutes Markets. - Yun Kuen Cheung; Richard Cole 001; Yixin Tao (EC, 2025)

Approximating Competitive Equilibrium by Nash Welfare. - Jugal Garg; Yixin Tao; László A. Végh (SODA, 2025)

Tight Efficiency Bounds for the Probabilistic Serial Mechanism under Cardinal Preferences. - Jugal Garg; Yixin Tao; László A. Végh (CoRR, 2025)