Zhong, Kai

15 publications

ICLR 2026 SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li

JMLR 2022 PECOS: Prediction for Enormous and Correlated Output Spaces Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon

NeurIPS 2019 Provable Non-Linear Inductive Matrix Completion Kai Zhong, Zhao Song, Prateek Jain, Inderjit S Dhillon

ICML 2018 Binary Classification with Karmic, Threshold-Quasi-Concave Metrics Bowei Yan, Sanmi Koyejo, Kai Zhong, Pradeep Ravikumar

NeurIPS 2018 MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep K Ravikumar, Shou-De Lin

AISTATS 2017 Fast Classification with Binary Prototypes Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon

ICML 2017 Recovery Guarantees for One-Hidden-Layer Neural Networks Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon

NeurIPS 2016 Coordinate-Wise Power Method Qi Lei, Kai Zhong, Inderjit S Dhillon

NeurIPS 2016 Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain Ian En-Hsu Yen, Xiangru Huang, Kai Zhong, Ruohan Zhang, Pradeep K Ravikumar, Inderjit S Dhillon

NeurIPS 2016 Mixed Linear Regression with Multiple Components Kai Zhong, Prateek Jain, Inderjit S Dhillon

ICML 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit Dhillon

ICML 2015 A Convex Exemplar-Based Approach to MAD-Bayes Dirichlet Process Mixture Models En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit Dhillon

ALT 2015 Efficient Matrix Sensing Using Rank-1 Gaussian Measurements Kai Zhong, Prateek Jain, Inderjit S. Dhillon

NeurIPS 2015 Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep K Ravikumar, Inderjit S Dhillon

NeurIPS 2014 Proximal Quasi-Newton for Computationally Intensive L1-Regularized M-Estimators Kai Zhong, Ian En-Hsu Yen, Inderjit S Dhillon, Pradeep K Ravikumar