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Tianyi Peng
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2020 – today
- 2025
[j6]Jackie Baek
, Vivek F. Farias
, Andreea Georgescu, Retsef Levi
, Tianyi Peng
, Deeksha Sinha
, Joshua Wilde
, Andrew Zheng
:
The Limits to Learning a Diffusion Model. Manag. Sci. 71(12): 10165-10181 (2025)
[j5]Olivier Toubia
, George Z. Gui
, Tianyi Peng, Daniel J. Merlau, Ang Li, Haozhe Chen:
Database Report: Twin-2K-500: A Data Set for Building Digital Twins of over 2,000 People Based on Their Answers to over 500 Questions. Mark. Sci. 44(6): 1446-1455 (2025)
[c17]Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang:
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. ACL (Findings) 2025: 14147-14158
[c16]Tianyi Peng, Yang Xiao:
Dark Experience for Incremental Keyword Spotting. ICASSP 2025: 1-5
[c15]Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng:
Speeding up Policy Simulation in Supply Chain RL. ICML 2025
[c14]Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das:
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. INTERSPEECH 2025
[c13]Tianyi Peng
, Naimeng Ye
, Andrew Zheng
:
Differences-in-Neighbors for Network Interference in Experiments. EC 2025: 787
[i24]Ayeong Lee, Ethan Che, Tianyi Peng:
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach. CoRR abs/2503.01141 (2025)
[i23]Tianyi Peng, Naimeng Ye, Andrew Zheng:
Differences-in-Neighbors for Network Interference in Experiments. CoRR abs/2503.02271 (2025)
[i22]Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng:
LLM Generated Persona is a Promise with a Catch. CoRR abs/2503.16527 (2025)
[i21]Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen, Tianyi Peng, Daniel Guetta, Hongseok Namkoong:
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework. CoRR abs/2503.21023 (2025)
[i20]Yueying Li, Jian Gang Dai, Tianyi Peng:
Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents. CoRR abs/2504.07347 (2025)
[i19]Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang:
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. CoRR abs/2505.11817 (2025)
[i18]Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das:
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. CoRR abs/2505.14600 (2025)
[i17]Olivier Toubia, George Z. Gui, Tianyi Peng, Daniel J. Merlau, Ang Li, Haozhe Chen:
Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions. CoRR abs/2505.17479 (2025)
[i16]Shuze Chen, Tianyi Peng:
Multi-agent Markov Entanglement. CoRR abs/2506.02385 (2025)
[i15]Akshit Kumar, Tianyi Peng, Yuhang Wu, Assaf Zeevi:
Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice. CoRR abs/2506.23924 (2025)
[i14]Naimeng Ye, Xiao Yu, Ruize Xu, Tianyi Peng, Zhou Yu:
AI Agents for Web Testing: A Case Study in the Wild. CoRR abs/2509.05197 (2025)
[i13]Tianyi Peng, George Z. Gui, Daniel J. Merlau, Grace Jiarui Fan, Malek Ben Sliman, Melanie Brucks, Eric J. Johnson, Vicki Morwitz, Abdullah Althenayyan, Silvia Bellezza, Dante Donati, Hortense Fong, Elizabeth Friedman, Ariana Guevara, Mohamed Hussein, Kinshuk Jerath, Bruce Kogut, Kristen Lane, Hannah Li, Patryk Perkowski, Oded Netzer, Olivier Toubia:
A Mega-Study of Digital Twins Reveals Strengths, Weaknesses and Opportunities for Further Improvement. CoRR abs/2509.19088 (2025)
[i12]Naimeng Ye, Arnav Ahuja, Georgios Liargkovas, Yunan Lu, Kostis Kaffes, Tianyi Peng:
Speculative Actions: A Lossless Framework for Faster Agentic Systems. CoRR abs/2510.04371 (2025)
[i11]Wenxin Zhang, Yueying Li, Ciamac C. Moallemi, Tianyi Peng:
Tail-Optimized Caching for LLM Inference. CoRR abs/2510.15152 (2025)
[i10]Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, Tianyi Peng, Yuhang Wu:
E-GEO: A Testbed for Generative Engine Optimization in E-Commerce. CoRR abs/2511.20867 (2025)- 2024
[j4]Vivek F. Farias, Andrew A. Li, Tianyi Peng
:
Fixing Inventory Inaccuracies at Scale. Manuf. Serv. Oper. Manag. 26(3): 1102-1118 (2024)
[c12]Haozhe Chen, Ang Li, Ethan Che, Jing Dong, Tianyi Peng, Hongseok Namkoong:
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. NeurIPS 2024
[i9]Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng
, Andrew Zheng:
Speeding up Policy Simulation in Supply Chain RL. CoRR abs/2406.01939 (2024)
[i8]Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong:
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. CoRR abs/2410.06170 (2024)- 2023
[j3]Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak
, Tianyi Peng
, Dusan Popovic:
Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure. INFORMS J. Appl. Anal. 53(5): 336-349 (2023)
[c11]Vivek F. Farias
, Hao Li
, Tianyi Peng
, Xinyuyang Ren
, Huawei Zhang
, Andrew Zheng
:
Correcting for Interference in Experiments: A Case Study at Douyin. RecSys 2023: 455-466
[i7]Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng:
Correcting for Interference in Experiments: A Case Study at Douyin. CoRR abs/2305.02542 (2023)- 2022
[c10]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. AISTATS 2022: 1179-1189
[c9]Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng:
Markovian Interference in Experiments. NeurIPS 2022
[i6]Vivek F. Farias, Ciamac C. Moallemi, Tianyi Peng, Andrew Zheng:
Synthetically Controlled Bandits. CoRR abs/2202.07079 (2022)
[i5]Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng:
Markovian Interference in Experiments. CoRR abs/2206.02371 (2022)- 2021
[c8]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. ICML 2021: 3154-3163
[c7]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Learning Treatment Effects in Panels with General Intervention Patterns. NeurIPS 2021: 14001-14013
[c6]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning a Diffusion Model. EC 2021: 130-131
[i4]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Learning Treatment Effects in Panels with General Intervention Patterns. CoRR abs/2106.02780 (2021)
[i3]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise. CoRR abs/2110.12046 (2021)- 2020
[j2]Wenhan Dai
, Tianyi Peng
, Moe Z. Win
:
Optimal Remote Entanglement Distribution. IEEE J. Sel. Areas Commun. 38(3): 540-556 (2020)
[j1]Wenhan Dai
, Tianyi Peng
, Moe Z. Win
:
Quantum Queuing Delay. IEEE J. Sel. Areas Commun. 38(3): 605-618 (2020)
[c5]Siyu Wang, Xin Wang, Tianyi Peng, Jiaxi Zhou, Qi Qin, Xijun Wang:
Closed-form Analysis of Age of Information in Energy Harvesting Network. ICCC 2020: 875-880
[c4]Wenhan Dai, Tianyi Peng
, Moe Z. Win:
Optimal Protocols for Remote Entanglement Distribution. ICNC 2020: 1014-1019
[c3]Wenhan Dai, Tianyi Peng
, Moe Z. Win:
Queuing Delay for Quantum Networks. ICNC 2020: 1020-1025
[i2]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. CoRR abs/2006.06373 (2020)
[i1]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. CoRR abs/2006.13126 (2020)
2010 – 2019
- 2019
[c2]Wenhan Dai, Tianyi Peng
, Moe Z. Win:
Remote State Preparation for Multiple Parties. ICASSP 2019: 7983-7987
[c1]Tianyi Peng
, Wenhan Dai, Moe Z. Win:
Efficient and Robust Physical Layer Key Generation. MILCOM 2019: 1-6
Coauthor Index

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last updated on 2026-02-05 23:46 CET by the dblp team
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