Zha, Sheng

11 publications

ICML 2024 Differentially Private Bias-Term Fine-Tuning of Foundation Models Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

NeurIPS 2024 Pre-Training Differentially Private Models with Limited Public Data Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis

NeurIPS 2023 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

AAAI 2023 Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

ICML 2023 Differentially Private Optimization on Large Model at Small Cost Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

NeurIPS 2023 HyTrel: Hypergraph-Enhanced Tabular Data Representation Learning Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis

NeurIPS 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis

ICLRW 2023 Zero Redundancy Distributed Learning with Differential Privacy Zhiqi Bu, Justin Chiu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis

NeurIPSW 2022 Differentially Private Bias-Term Only Fine-Tuning of Foundation Models Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

JMLR 2020 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

ECCV 2018 Question Type Guided Attention in Visual Question Answering Yang Shi, Tommaso Furlanello, Sheng Zha, Animashree Anandkumar