Zhengze Zhou - RankMe

16 papers A* 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Not all tokens are needed(NAT): token efficient reinforcement learning. CoRR Hejian Sang, Yuanda Xu, Zhengze Zhou, Ran He, Zhipeng Wang
2026	J	`jnl`	On-Policy Self-Distillation for Reasoning Compression. CoRR Hejian Sang, Yuanda Xu, Zhengze Zhou, Ran He, Zhipeng Wang, Jiachen Sun
2026	J	`jnl`	Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning. CoRR Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang
2026	J	`jnl`	PACED: Distillation and Self-Distillation at the Frontier of Student Competence. CoRR Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang
2026	J	`jnl`	Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints. CoRR Jelena Markovic-Voronov, Kayhan Behdin, Yuanda Xu, Zhengze Zhou, Zhipeng Wang, Rahul Mazumder
2026	J	`jnl`	Semantic Search At LinkedIn. CoRR Fedor Borisyuk, Sriram Vasudevan, Muchen Wu, Guoyao Li, Benjamin Le, Shaobo Zhang, Kay Qianqi Shen, Yuchin Juan, Kayhan Behdin, Liming Dong, Kaixu Yang, Shusen Jing, Ravi Pothamsetty, Rajat Arora, Sophie Yanying Sheng, Vitaly Abdrashitov, Yang Zhao, Lin Su, Xiaoqing Wang, Chujie Zheng, Sarang Metkar, Rupesh Gupta, Igor Lapchuk, David N. Racca, Madhumitha Mohan, Yanbo Li, Haojun Li, Saloni Gandhi, Xueying Lu, Chetan Bhole, Ali Hooshmand, Xin Yang, Raghavan Muthuregunathan, Jiajun Zhang, Mathew Teoh, Adam Coler, Abhinav Gupta, Xiaojing Ma, Sundara Raman Ramachandran, Morteza Ramezani, Yubo Wang, Lijuan Zhang, Richard Li, Jian Sheng, Chanh Nguyen, Yen-Chi Chen, Chuanrui Zhu, Claire Zhang, Jiahao Xu, Deepti Kulkarni, Qing Lan, Arvind Subramaniam, Ata Fatahi Baarzi, Steven Shimizu, Yanning Chen, Zhipeng Wang, Ran He, Zhengze Zhou, Qingquan Song, Yun Dai, Caleb Johnson, Ping Liu, Shaghayegh Gharghabi, Gokulraj Mohanasundaram, Juan Bottaro, Santhosh Sachindran, Qi Guo, Yunxiang Ren, Chengming Jiang, Di Mo, Luke Simon, Jianqiang Shen, Jingwei Wu, Wenjing Zhang
2024	J	`jnl`	Approximation trees: statistical reproducibility in model distillation. Data Min. Knowl. Discov. Yichen Zhou, Zhengze Zhou, Giles Hooker
2022	J	`jnl`	Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning. CoRR Xiaojian Zhang, Xiang Yan, Zhengze Zhou, Yiming Xu, Xilei Zhao
2021	A*	`conf`	S-LIME: Stabilized-LIME for Model Explanation. KDD Zhengze Zhou, Giles Hooker, Fei Wang
2021	J	`jnl`	S-LIME: Stabilized-LIME for Model Explanation. CoRR Zhengze Zhou, Giles Hooker, Fei Wang
2021	J	`jnl`	Unbiased Measurement of Feature Importance in Tree-Based Methods. ACM Trans. Knowl. Discov. Data Zhengze Zhou, Giles Hooker
2021	J	`jnl`	V-statistics and Variance Estimation. J. Mach. Learn. Res. Zhengze Zhou, Lucas Mentch, Giles Hooker
2019	J	`jnl`	Asymptotic Normality and Variance Estimation For Supervised Ensembles. CoRR Zhengze Zhou, Lucas Mentch, Giles Hooker
2019	J	`jnl`	Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. CoRR Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck
2019	J	`jnl`	Unbiased Measurement of Feature Importance in Tree-Based Methods. CoRR Zhengze Zhou, Giles Hooker
2018	J	`jnl`	Approximation Trees: Statistical Stability in Model Distillation. CoRR Yichen Zhou, Zhengze Zhou, Giles Hooker