A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation. - Karl Rohe; Jun Tao; Xintian Han; Norbert Binkiewicz (J. Mach. Learn. Res., 2018)

Counterfactual Explanations for Data-Driven Decisions. - Carlos Fernandez; Foster J. Provost; Xintian Han (ICIS, 2019)

Adversarial Examples for Electrocardiograms. - Xintian Han; Yuxuan Hu; Luca Foschini 002; Larry Chinitz; Lior Jankelson; Rajesh Ranganath (CoRR, 2019)

Deep Survival Analysis: The Impact of Feature Missingness. - Shreyas Bhave; Xintian Han; Rajesh Ranganath; Adler J. Perotte (AMIA, 2020)

X-CAL: Explicit Calibration for Survival Analysis. - Mark Goldstein; Xintian Han; Aahlad Manas Puli; Adler J. Perotte; Rajesh Ranganath (NeurIPS, 2020)

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach. - Carlos Fernandez; Foster J. Provost; Xintian Han (CoRR, 2020)

Inverse-Weighted Survival Games. - Xintian Han; Mark Goldstein; Aahlad Manas Puli; Thomas Wies; Adler J. Perotte; Rajesh Ranganath (NeurIPS, 2021)

Survival Mixture Density Networks. - Xintian Han; Mark Goldstein; Rajesh Ranganath (MLHC, 2022)

Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models. - Jie Chen; Xintian Han; Yu Ma; Xun Zhou; Liang Xiang (CoRR, 2024)

Complete Chess Games Enable LLM Become A Chess Master. - Yinqi Zhang; Xintian Han; Haolong Li; Kedi Chen; Shaohui Lin (NAACL (Short Papers), 2025)

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever. - Xingyan Bin; Jianfei Cui; Wujie Yan; Zhichen Zhao; Xintian Han; Chongyang Yan; Feng Zhang; Xun Zhou; Qi Wu; Zuotao Liu (CoRR, 2025)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders. - Jie Zhu; Zhifang Fan; Xiaoxie Zhu; Yuchen Jiang; Hangyu Wang; Xintian Han; Haoran Ding; Xinmin Wang; Wenlin Zhao; Zhen Gong; Huizhi Yang; Zheng Chai; et al. (CoRR, 2025)