Remote State Preparation for Multiple Parties. - Wenhan Dai; Tianyi Peng; Moe Z. Win (ICASSP, 2019)

Efficient and Robust Physical Layer Key Generation. - Tianyi Peng; Wenhan Dai; Moe Z. Win (MILCOM, 2019)

Closed-form Analysis of Age of Information in Energy Harvesting Network. - Siyu Wang; Xin Wang; Tianyi Peng; Jiaxi Zhou; Qi Qin; Xijun Wang 001 (ICCC, 2020)

Optimal Protocols for Remote Entanglement Distribution. - Wenhan Dai; Tianyi Peng; Moe Z. Win (ICNC, 2020)

Queuing Delay for Quantum Networks. - Wenhan Dai; Tianyi Peng; Moe Z. Win (ICNC, 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)

Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (CoRR, 2020)

Optimal Remote Entanglement Distribution. - Wenhan Dai; Tianyi Peng; Moe Z. Win (IEEE J. Sel. Areas Commun., 2020)

Quantum Queuing Delay. - Wenhan Dai; Tianyi Peng; Moe Z. Win (IEEE J. Sel. Areas Commun., 2020)

Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (ICML, 2021)

Learning Treatment Effects in Panels with General Intervention Patterns. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (NeurIPS, 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 (EC, 2021)

Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (AISTATS, 2022)

Markovian Interference in Experiments. - Vivek F. Farias; Andrew A. Li; Tianyi Peng; Andrew Zheng (NeurIPS, 2022)

Synthetically Controlled Bandits. - Vivek F. Farias; Ciamac Moallemi; Tianyi Peng; Andrew Zheng (CoRR, 2022)

Correcting for Interference in Experiments: A Case Study at Douyin. - Vivek F. Farias; Hao Li; Tianyi Peng; Xinyuyang Ren; Huawei Zhang; Andrew Zheng (RecSys, 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)

QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. - Haozhe Chen; Ang Li; Ethan Che; Jing Dong; Tianyi Peng; Hongseok Namkoong (NeurIPS, 2024)

Speeding up Policy Simulation in Supply Chain RL. - Vivek F. Farias; Joren Gijsbrechts; Aryan I. Khojandi; Tianyi Peng; Andrew Zheng (CoRR, 2024)

Fixing Inventory Inaccuracies at Scale. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (Manuf. Serv. Oper. Manag., 2024)

AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. - Yang Xiao; Tianyi Peng; Rohan Kumar Das; Yuchen Hu; Huiping Zhuang (ACL (Findings), 2025)

Dark Experience for Incremental Keyword Spotting. - Tianyi Peng; Yang Xiao (ICASSP, 2025)

Differences-in-Neighbors for Network Interference in Experiments. - Tianyi Peng; Naimeng Ye; Andrew Zheng (EC, 2025)

How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach. - Ayeong Lee; Ethan Che; Tianyi Peng (CoRR, 2025)

LLM Generated Persona is a Promise with a Catch. - Ang Li; Haozhe Chen; Hongseok Namkoong; Tianyi Peng (CoRR, 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, 2025)

Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents. - Yueying Li; Jim Dai; Tianyi Peng (CoRR, 2025)

AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. - Yang Xiao; Tianyi Peng; Yanghao Zhou; Rohan Kumar Das (CoRR, 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, 2025)

Multi-agent Markov Entanglement. - Shuze Chen; Tianyi Peng (CoRR, 2025)

Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice. - Akshit Kumar; Tianyi Peng; Yuhang Wu; Assaf Zeevi (CoRR, 2025)