Xintian Han - RankMe

20 papers A* 2A 1C 1Misc 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders. CoRR Yuchen Jiang, Jie Zhu, Xintian Han, Hui Lu, Kunmin Bai, Mingyu Yang, Shikang Wu, Ruihao Zhang, Wenlin Zhao, Shipeng Bai, Sijin Zhou, Huizhi Yang, Tianyi Liu, Wenda Liu, Ziyan Gong, Haoran Ding, Zheng Chai, Deping Xie, Zhe Chen, Yuchao Zheng, Peng Xu
2025	—	`conf`	Complete Chess Games Enable LLM Become A Chess Master. NAACL (Short Papers) Yinqi Zhang, Xintian Han, Haolong Li, Kedi Chen, Shaohui Lin
2025	J	`jnl`	Complete Chess Games Enable LLM Become A Chess Master. CoRR Yinqi Zhang, Xintian Han, Haolong Li, Kedi Chen, Shaohui Lin
2025	J	`jnl`	LEMUR: Large scale End-to-end MUltimodal Recommendation. CoRR Xintian Han, Honggang Chen, Quan Lin, Jingyue Gao, Xiangyuan Ren, Lifei Zhu, Zhisheng Ye, Shikang Wu, Xionghang Xie, Xiaochu Gan, Bingzheng Wei, Peng Xu, Zhe Wang, Yuchao Zheng, Jingjian Lin, Di Wu, Junfeng Ge
2025	A	`conf`	RankMixer: Scaling Up Ranking Models in Industrial Recommenders. CIKM Jie Zhu, Zhifang Fan, Xiaoxie Zhu, Yuchen Jiang, Hangyu Wang, Xintian Han, Haoran Ding, Xinmin Wang, Wenlin Zhao, Zhen Gong, Huizhi Yang, Zheng Chai, Zhe Chen, Yuchao Zheng, Qiwei Chen, Feng Zhang, Xun Zhou, Peng Xu, Xiao Yang, Di Wu, Zuotao Liu
2025	J	`jnl`	RankMixer: Scaling Up Ranking Models in Industrial Recommenders. CoRR Jie Zhu, Zhifang Fan, Xiaoxie Zhu, Yuchen Jiang, Hangyu Wang, Xintian Han, Haoran Ding, Xinmin Wang, Wenlin Zhao, Zhen Gong, Huizhi Yang, Zheng Chai, Zhe Chen, Yuchao Zheng, Qiwei Chen, Feng Zhang, Xun Zhou, Peng Xu, Xiao Yang, Di Wu, Zuotao Liu
2025	—	`conf`	Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever. KDD (2) Xingyan Bin, Jianfei Cui, Wujie Yan, Zhichen Zhao, Xintian Han, Chongyang Yan, Feng Zhang, Xun Zhou, Xiao Yang, Zuotao Liu
2025	J	`jnl`	Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever. CoRR Xingyan Bin, Jianfei Cui, Wujie Yan, Zhichen Zhao, Xintian Han, Chongyang Yan, Feng Zhang, Xun Zhou, Qi Wu, Zuotao Liu
2024	J	`jnl`	Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models. CoRR Jie Chen, Xintian Han, Yu Ma, Xun Zhou, Liang Xiang
2022	—	`conf`	Survival Mixture Density Networks. MLHC Xintian Han, Mark Goldstein, Rajesh Ranganath
2022	J	`jnl`	Survival Mixture Density Networks. CoRR Xintian Han, Mark Goldstein, Rajesh Ranganath
2021	A*	`conf`	Inverse-Weighted Survival Games. NeurIPS Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
2021	J	`jnl`	Inverse-Weighted Survival Games. CoRR Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
2021	J	`jnl`	X-CAL: Explicit Calibration for Survival Analysis. CoRR Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2020	Misc	`conf`	Deep Survival Analysis: The Impact of Feature Missingness. AMIA Shreyas Bhave, Xintian Han, Rajesh Ranganath, Adler J. Perotte
2020	J	`jnl`	Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach. CoRR Carlos Fernandez, Foster J. Provost, Xintian Han
2020	A*	`conf`	X-CAL: Explicit Calibration for Survival Analysis. NeurIPS Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2019	J	`jnl`	Adversarial Examples for Electrocardiograms. CoRR Xintian Han, Yuxuan Hu, Luca Foschini, Larry Chinitz, Lior Jankelson, Rajesh Ranganath
2019	C	`conf`	Counterfactual Explanations for Data-Driven Decisions. ICIS Carlos Fernandez, Foster J. Provost, Xintian Han
2018	J	`jnl`	A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation. J. Mach. Learn. Res. Karl Rohe, Jun Tao, Xintian Han, Norbert Binkiewicz