Tianyi Peng

According to our database, Tianyi Peng authored at least 31 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice.

Akshit Kumar, Tianyi Peng, Yuhang Wu, Assaf Zeevi

CoRR, June, 2025

Multi-agent Markov Entanglement.

Shuze Chen, Tianyi Peng

CoRR, June, 2025

Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions.

Olivier Toubia, George Z. Gui, Tianyi Peng, Daniel J. Merlau, Ang Li, Haozhe Chen

CoRR, May, 2025

AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation.

Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das

CoRR, May, 2025

Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents.

Yueying Li, Jim Dai, Tianyi Peng

CoRR, April, 2025

Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework.

Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen, Tianyi Peng, Daniel Guetta, Hongseok Namkoong

CoRR, March, 2025

LLM Generated Persona is a Promise with a Catch.

Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng

CoRR, March, 2025

How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.

Ayeong Lee, Ethan Che, Tianyi Peng

CoRR, March, 2025

Differences-in-Neighbors for Network Interference in Experiments.

Tianyi Peng, Naimeng Ye, Andrew Zheng

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Dark Experience for Incremental Keyword Spotting.

Tianyi Peng, Yang Xiao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting.

Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Fixing Inventory Inaccuracies at Scale.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Manuf. Serv. Oper. Manag., 2024

Speeding up Policy Simulation in Supply Chain RL.

Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng

CoRR, 2024

QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers.

Haozhe Chen, Ang Li, Ethan Che, Jing Dong, Tianyi Peng, Hongseok Namkoong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure.

Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, Tianyi Peng, Dusan Popovic

INFORMS J. Appl. Anal., 2023

Correcting for Interference in Experiments: A Case Study at Douyin.

Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Synthetically Controlled Bandits.

Vivek F. Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng

CoRR, 2022

Markovian Interference in Experiments.

Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The Limits to Learning a Diffusion Model.

Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Learning Treatment Effects in Panels with General Intervention Patterns.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quantum Queuing Delay.

Wenhan Dai, Tianyi Peng, Moe Z. Win

IEEE J. Sel. Areas Commun., 2020

Optimal Remote Entanglement Distribution.

Wenhan Dai, Tianyi Peng, Moe Z. Win

IEEE J. Sel. Areas Commun., 2020

Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

CoRR, 2020

The Limits to Learning an SIR Process: Granular Forecasting for Covid-19.

Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng

CoRR, 2020

Queuing Delay for Quantum Networks.

Wenhan Dai, Tianyi Peng, Moe Z. Win

Proceedings of the International Conference on Computing, Networking and Communications, 2020

Optimal Protocols for Remote Entanglement Distribution.

Wenhan Dai, Tianyi Peng, Moe Z. Win

Proceedings of the International Conference on Computing, Networking and Communications, 2020

Closed-form Analysis of Age of Information in Energy Harvesting Network.

Siyu Wang, Xin Wang, Tianyi Peng, Jiaxi Zhou, Qi Qin, Xijun Wang

Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019

Efficient and Robust Physical Layer Key Generation.

Tianyi Peng, Wenhan Dai, Moe Z. Win

Proceedings of the 2019 IEEE Military Communications Conference, 2019

Remote State Preparation for Multiple Parties.

Wenhan Dai, Tianyi Peng, Moe Z. Win

Proceedings of the IEEE International Conference on Acoustics, 2019