| 2025 | ACL | AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. | Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang |
| 2025 | ICASSP | Dark Experience for Incremental Keyword Spotting. | Tianyi Peng, Yang Xiao |
| 2025 | ICML | Speeding up Policy Simulation in Supply Chain RL. | Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng |
| 2025 | Interspeech | AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. | Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das |
| 2025 | WSC | Performance of LLMS on Stochastic Modeling Operations Research Problems: From Theory to Practice. | Akshit Kumar, Tianyi Peng, Yuhang Wu, Assaf Zeevi |
| 2023 | RecSys | Correcting for Interference in Experiments: A Case Study at Douyin. | Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng |
| 2022 | AISTATS | Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. | Vivek F. Farias, Andrew A. Li, Tianyi Peng |
| 2021 | ICML | Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. | Vivek F. Farias, Andrew A. Li, Tianyi Peng |
| 2019 | ICASSP | Remote State Preparation for Multiple Parties. | Wenhan Dai, Tianyi Peng, Moe Z. Win |