Huang, Zhen

17 publications

NeurIPS 2025 Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models Quntian Fang, Zhen Huang, Zhiliang Tian, Minghao Hu, Dongsheng Li, Yiping Yao, Xinyue Fang, Menglong Lu, Guotong Geng

CVPR 2025 Interpreting Object-Level Foundation Models via Visual Precision Search Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Maosen Li, Zhen Huang, Hua Zhang, Xiaochun Cao

AAAI 2025 Zero-Resource Hallucination Detection for Text Generation via Graph-Based Contextual Knowledge Triples Modeling Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li

ICML 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

NeurIPS 2024 OlympicArena: Benchmarking Multi-Discipline Cognitive Reasoning for Superintelligent AI Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

NeurIPS 2024 Perception of Knowledge Boundary for Large Language Models Through Semi-Open-Ended Question Answering Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li

ICML 2024 Quasi-Monte Carlo Features for Kernel Approximation Zhen Huang, Jiajin Sun, Yian Huang

IJCAI 2023 A Canonicalization-Enhanced Known Fact-Aware Framework for Open Knowledge Graph Link Prediction Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu

IJCAI 2023 Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li

IJCAI 2023 Teaching What You Should Teach: A Data-Based Distillation Method Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu

CVPR 2022 Cloth-Changing Person Re-Identification from a Single Image with Gait Prediction and Regularization Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua

IJCAI 2022 Exploring Fourier Prior for Single Image Rain Removal Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha

JMLR 2022 Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence Zhen Huang, Nabarun Deb, Bodhisattva Sen

ICCV 2021 3D Local Convolutional Neural Networks for Gait Recognition Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua

CVPR 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua

AAAI 2019 Read + Verify: Machine Reading Comprehension with Unanswerable Questions Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li

IJCAI 2018 Reinforced Mnemonic Reader for Machine Reading Comprehension Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou