Wang, Guanchu

13 publications

NeurIPS 2025 Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Lin Yang, Tianyi Zhang, Anshumali Shrivastava, Vladimir Braverman

AISTATS 2025 Personalizing Low-Rank Bayesian Neural Networks via Federated Learning Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu

TMLR 2025 Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu

ICML 2024 TVE: Learning Meta-Attribution for Transferable Vision Explainer Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

NeurIPS 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

ICLR 2023 CoRTX: Contrastive Framework for Real-Time Explanation Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu

ICML 2023 DIVISION: Memory Efficient Training via Dual Activation Precision Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu

ECML-PKDD 2023 Mitigating Algorithmic Bias with Limited Annotations Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu

NeurIPS 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu

ICML 2022 Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu

NeurIPS 2021 Fairness via Representation Neutralization Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Awadallah, Xia Hu

AAAI 2021 TODS: An Automated Time Series Outlier Detection System Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu

IJCAI 2020 Independent Skill Transfer for Deep Reinforcement Learning Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang