Yaonan Jin (金耀楠)
I am a full-time researcher at the Huawei Theoretical Computer Science Lab led by Prof. Pinyan Lu.
Before joining Huawei, I obtained my PhD from Columbia University in 2023,
where I was advised by Prof. Xi Chen and Prof. Rocco Servedio.
Prior to that, I obtained my MPhil from Hong Kong University of Science and Technology,
where I was advised by Prof. Qi Qi,
and my BEng from Shanghai Jiao Tong University.
Contact
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Email:
jinyaonan@huawei.com
Curriculum Vitae
Research Interests
- Theoretical Computer Science
- Algorithmic Economics
- Randomness in Computation
- Sublinear Algorithms
Publications
Surveys
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Settling the Efficiency of First Price Auction [PDF]
Yaonan Jin and Pinyan Lu
ACM SIGecom Exchanges, 20(2): 69-74, 2022
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Tight Revenue Gaps among Simple and Optimal Mechanisms [PDF]
Yaonan Jin, Pinyan Lu, Qi Qi, Zhihao Tang, and Tao Xiao
ACM SIGecom Exchanges, 17(2): 54-61, 2019
Journal Papers
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Benchmark-Tight Approximation Ratio of Simple Mechanism for a Unit-Demand Buyer
Yaonan Jin and Pinyan Lu
Submitted to SIAM Journal on Computing
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Learning Reserve Prices in Second Price Auctions [arXiv]
Yaonan Jin, Pinyan Lu, and Tao Xiao
Submitted to ACM Transactions on Economics and Computation
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First Price Auction is $1 - 1 / e^{2}$ Efficient [arXiv]
Yaonan Jin and Pinyan Lu
Journal of the ACM, 70(5): 36:1-36:86
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Fourier Growth of Structured $\mathbb{F}_2$-Polynomials and Applications [arXiv] [ECCC]
Jarosław Błasiok, Peter Ivanov, Yaonan Jin, Chin Ho Lee, Rocco Servedio, and Emanuele Viola
(Invited Paper) To appear in Theory of Computing
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Tight Revenue Gaps among Multi-Unit Mechanisms [arXiv]
Yaonan Jin, Shunhua Jiang, Pinyan Lu, and Hengjie Zhang
SIAM Journal on Computing, 51(5): 1535-1579, 2022
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Optimal Budget-Feasible Mechanisms for Additive Valuations [arXiv]
Nick Gravin, Yaonan Jin, Pinyan Lu, and Chenhao Zhang
ACM Transactions on Economics and Computation, 8(4): 1-15, 2020
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Tight Revenue Gaps among Simple Mechanisms [arXiv]
Yaonan Jin, Pinyan Lu, Zhihao Tang, and Tao Xiao
SIAM Journal on Computing, 49(5): 927-958, 2020
Conference Papers
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Benchmark-Tight Approximation Ratio of Simple Mechanism for a Unit-Demand Buyer
Yaonan Jin and Pinyan Lu
65th IEEE Annual Symposium on Foundations of Computer Science (FOCS 2024)
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Subset Sum in Time $2^{n/2} / \mathrm{poly}(n)$ [arXiv]
Xi Chen, Yaonan Jin, Tim Randolph, and Rocco Servedio
27th International Workshop on Randomization and Computation (RANDOM 2023)
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Learning Reserve Prices in Second Price Auctions [arXiv]
Yaonan Jin, Pinyan Lu, and Tao Xiao
14th Innovations in Theoretical Computer Science Conference (ITCS 2023)
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Super-Resolution and Robust Sparse Continuous Fourier Transform in Any Constant Dimension: Nearly Linear Time and Sample Complexity [arXiv]
Yaonan Jin, Daogao Liu, and Zhao Song
34th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023)
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The Price of Stability for First Price Auction [arXiv]
Yaonan Jin and Pinyan Lu
34th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023)
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First Price Auction is $1 - 1 / e^{2}$ Efficient [arXiv]
Yaonan Jin and Pinyan Lu
63rd IEEE Annual Symposium on Foundations of Computer Science (FOCS 2022)
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Average-Case Subset Balancing Problems [arXiv]
Xi Chen, Yaonan Jin, Tim Randolph, and Rocco Servedio
33rd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2022)
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Fourier Growth of Structured $\mathbb{F}_2$-Polynomials and Applications [arXiv] [ECCC]
Jarosław Błasiok, Peter Ivanov, Yaonan Jin, Chin Ho Lee, Rocco Servedio, and Emanuele Viola
25th International Workshop on Randomization and Computation (RANDOM 2021)
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Tight Revenue Gaps among Multi-Unit Mechanisms [arXiv]
Yaonan Jin, Shunhua Jiang, Pinyan Lu, and Hengjie Zhang
22nd ACM Conference on Economics and Computation (EC 2021)
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On the Approximability of Simple Mechanisms for MHR Distributions [PDF]
Yaonan Jin, Weian Li, and Qi Qi
15th Conference on Web and Internet Economics (WINE 2019)
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Optimal Budget-Feasible Mechanisms for Additive Valuations [arXiv]
Nick Gravin, Yaonan Jin, Pinyan Lu, and Chenhao Zhang
20th ACM Conference on Economics and Computation (EC 2019)
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Tight Approximation Ratio of Anonymous Pricing [arXiv]
Yaonan Jin, Pinyan Lu, Qi Qi, Zhihao Tang, and Tao Xiao
51st Annual ACM SIGACT Symposium on Theory of Computing (STOC 2019)
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Tight Revenue Gaps among Simple Mechanisms [arXiv]
Yaonan Jin, Pinyan Lu, Zhihao Tang, and Tao Xiao
30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2019)
Manuscripts
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Efficient Clustering on Sparse Graphs via Super-effective Local Search
Shaofeng H.-C. Jiang, Yaonan Jin, Jianing Lou, and Pinyan Lu
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Beyond Regularity: Simple versus Optimal Mechanisms, Revisited [arXiv]
Yiding Feng and Yaonan Jin
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On Asymptotically Tight Tail Bounds for Sums of Geometric and Exponential Random Variables [arXiv]
Yaonan Jin, Yingkai Li, Yining Wang, and Yuan Zhou