A Geometrical Approach to Topic Model Estimation. - Zheng Tracy Ke (CoRR, 2016)

Network Global Testing by Counting Graphlets. - Jiashun Jin; Zheng Tracy Ke; Shengming Luo (ICML, 2018)

SCORE+ for Network Community Detection. - Jiashun Jin; Zheng Tracy Ke; Shengming Luo (CoRR, 2018)

State Aggregation Learning from Markov Transition Data. - Yaqi Duan; Zheng Tracy Ke; Mengdi Wang (NeurIPS, 2019)

Measurement error models: from nonparametric methods to deep neural networks. - Zhirui Hu; Zheng Tracy Ke; Jun S. Liu (CoRR, 2020)

Sharp Impossibility Results for Hyper-graph Testing. - Jiashun Jin; Zheng Tracy Ke; Jiajun Liang (NeurIPS, 2021)

The SCORE normalization, especially for highly heterogeneous network and text data. - Zheng Tracy Ke; Jiashun Jin (CoRR, 2022)

Co-citation and Co-authorship Networks of Statisticians. - Pengsheng Ji; Jiashun Jin; Zheng Tracy Ke; Wanshan Li (CoRR, 2022)

Phase transition for detecting a small community in a large network. - Jiashun Jin; Zheng Tracy Ke; Paxton Turner; Anru Zhang (ICLR, 2023)

Subject clustering by IF-PCA and several recent methods. - Dieyi Chen; Jiashun Jin; Zheng Tracy Ke (CoRR, 2023)

Improved algorithm and bounds for successive projection. - Jiashun Jin; Zheng Tracy Ke; Gabriel Moryoussef; Jiajun Tang; Jingming Wang (ICLR, 2024)

Recent Advances in Text Analysis. - Zheng Tracy Ke; Pengsheng Ji; Jiashun Jin; Wanshan Li (CoRR, 2024)

Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic. - Zheng Tracy Ke; Jun S. Liu; Yucong Ma (J. Mach. Learn. Res., 2024)

A Comparison of DeepSeek and Other LLMs. - Tianchen Gao; Jiashun Jin; Zheng Tracy Ke; Gabriel Moryoussef (CoRR, 2025)

Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models. - Morgane Austern; Yuanchuan Guo; Zheng Tracy Ke; Tianle Liu (CoRR, 2025)