Tianyi Peng - RankMe

48 papers A* 7A 3C 1Misc 4Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Agents for Inventory Control: Human-LLM-OR Complementarity. CoRR Jackie Baek, Yaopeng Fu, Will Ma, Tianyi Peng
2025	J	`jnl`	A Mega-Study of Digital Twins Reveals Strengths, Weaknesses and Opportunities for Further Improvement. CoRR 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
2025	J	`jnl`	AI Agents for Web Testing: A Case Study in the Wild. CoRR Naimeng Ye, Xiao Yu, Ruize Xu, Tianyi Peng, Zhou Yu
2025	A	`conf`	AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. INTERSPEECH Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das
2025	J	`jnl`	AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. CoRR Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das
2025	—	`conf`	AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. ACL (Findings) Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang
2025	J	`jnl`	AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. CoRR Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang
2025	Misc	`conf`	Dark Experience for Incremental Keyword Spotting. ICASSP Tianyi Peng, Yang Xiao
2025	J	`jnl`	Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework. CoRR Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen, Tianyi Peng, Daniel Guetta, Hongseok Namkoong
2025	J	`jnl`	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. Olivier Toubia, George Z. Gui, Tianyi Peng, Daniel J. Merlau, Ang Li, Haozhe Chen
2025	A*	`conf`	Differences-in-Neighbors for Network Interference in Experiments. EC Tianyi Peng, Naimeng Ye, Andrew Zheng
2025	J	`jnl`	Differences-in-Neighbors for Network Interference in Experiments. CoRR Tianyi Peng, Naimeng Ye, Andrew Zheng
2025	J	`jnl`	E-GEO: A Testbed for Generative Engine Optimization in E-Commerce. CoRR Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, Tianyi Peng, Yuhang Wu
2025	J	`jnl`	How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach. CoRR Ayeong Lee, Ethan Che, Tianyi Peng
2025	J	`jnl`	LLM Generated Persona is a Promise with a Catch. CoRR Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng
2025	J	`jnl`	Multi-agent Markov Entanglement. CoRR Shuze Chen, Tianyi Peng
2025	J	`jnl`	Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice. CoRR Akshit Kumar, Tianyi Peng, Yuhang Wu, Assaf Zeevi
2025	J	`jnl`	Speculative Actions: A Lossless Framework for Faster Agentic Systems. CoRR Naimeng Ye, Arnav Ahuja, Georgios Liargkovas, Yunan Lu, Kostis Kaffes, Tianyi Peng
2025	A*	`conf`	Speeding up Policy Simulation in Supply Chain RL. ICML Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng
2025	J	`jnl`	Tail-Optimized Caching for LLM Inference. CoRR Wenxin Zhang, Yueying Li, Ciamac C. Moallemi, Tianyi Peng
2025	J	`jnl`	The Limits to Learning a Diffusion Model. Manag. Sci. Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2025	J	`jnl`	Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents. CoRR Yueying Li, Jian Gang Dai, Tianyi Peng
2025	J	`jnl`	Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions. CoRR Olivier Toubia, George Z. Gui, Tianyi Peng, Daniel J. Merlau, Ang Li, Haozhe Chen
2024	J	`jnl`	Fixing Inventory Inaccuracies at Scale. Manuf. Serv. Oper. Manag. Vivek F. Farias, Andrew A. Li, Tianyi Peng
2024	A*	`conf`	QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. NeurIPS Haozhe Chen, Ang Li, Ethan Che, Jing Dong, Tianyi Peng, Hongseok Namkoong
2024	J	`jnl`	QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. CoRR Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong
2024	J	`jnl`	Speeding up Policy Simulation in Supply Chain RL. CoRR Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng
2023	A	`conf`	Correcting for Interference in Experiments: A Case Study at Douyin. RecSys Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
2023	J	`jnl`	Correcting for Interference in Experiments: A Case Study at Douyin. CoRR Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
2023	J	`jnl`	Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure. INFORMS J. Appl. Anal. Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, Tianyi Peng, Dusan Popovic
2022	A*	`conf`	Markovian Interference in Experiments. NeurIPS Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
2022	J	`jnl`	Markovian Interference in Experiments. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
2022	J	`jnl`	Synthetically Controlled Bandits. CoRR Vivek F. Farias, Ciamac C. Moallemi, Tianyi Peng, Andrew Zheng
2022	A	`conf`	Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. AISTATS Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	A*	`conf`	Learning Treatment Effects in Panels with General Intervention Patterns. NeurIPS Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	J	`jnl`	Learning Treatment Effects in Panels with General Intervention Patterns. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	A*	`conf`	Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. ICML Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	A*	`conf`	The Limits to Learning a Diffusion Model. EC Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2021	J	`jnl`	Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng
2020	C	`conf`	Closed-form Analysis of Age of Information in Energy Harvesting Network. ICCC Siyu Wang, Xin Wang, Tianyi Peng, Jiaxi Zhou, Qi Qin, Xijun Wang
2020	Misc	`conf`	Optimal Protocols for Remote Entanglement Distribution. ICNC Wenhan Dai, Tianyi Peng, Moe Z. Win
2020	J	`jnl`	Optimal Remote Entanglement Distribution. IEEE J. Sel. Areas Commun. Wenhan Dai, Tianyi Peng, Moe Z. Win
2020	J	`jnl`	Quantum Queuing Delay. IEEE J. Sel. Areas Commun. Wenhan Dai, Tianyi Peng, Moe Z. Win
2020	Misc	`conf`	Queuing Delay for Quantum Networks. ICNC Wenhan Dai, Tianyi Peng, Moe Z. Win
2020	J	`jnl`	Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng
2020	J	`jnl`	The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. CoRR Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2019	—	`conf`	Efficient and Robust Physical Layer Key Generation. MILCOM Tianyi Peng, Wenhan Dai, Moe Z. Win
2019	Misc	`conf`	Remote State Preparation for Multiple Parties. ICASSP Wenhan Dai, Tianyi Peng, Moe Z. Win