Liu, Hongfu

32 publications

ICLR 2025 On Calibration of LLM-Based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
ICML 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu
ICLR 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability Through Influence-Based Data Selection Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
NeurIPSW 2024 Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh
ICML 2024 Category-Aware Active Domain Adaptation Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu
NeurIPSW 2024 On Calibration of LLM-Based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Hao Wang, Xiangming Gu, Ye Wang
ICLR 2023 Characterizing the Influence of Graph Elements Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
ICML 2023 Learning Antidote Data to Individual Unfairness Peizhao Li, Ethan Xia, Hongfu Liu
TMLR 2023 Mind the Gap: Mitigating the Distribution Gap in Graph Few-Shot Learning Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
ICLR 2023 Robust Fair Clustering: A Novel Fairness Attack and Defense Framework Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
ICML 2022 Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li, Hongfu Liu
ICLRW 2022 Code Editing from Few Exemplars by Adaptive Multi-Extent Composition Peizhao Li, Xuchao Zhang, Ziyu Yao, Wei Cheng, Haifeng Chen, Hongfu Liu
NeurIPSW 2022 Contrastive Graph Few-Shot Learning Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
CVPR 2022 Exploiting Temporal Relations on Radar Perception for Autonomous Driving Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
NeurIPS 2022 Extrapolative Continuous-Time Bayesian Neural Network for Fast Training-Free Test-Time Adaptation Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang
NeurIPS 2022 Label-Invariant Augmentation for Semi-Supervised Graph Classification Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
NeurIPS 2021 Implicit Semantic Response Alignment for Partial Domain Adaptation Wenxiao Xiao, Zhengming Ding, Hongfu Liu
ICLR 2021 On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu
ICML 2021 STRODE: Stochastic Boundary Ordinary Differential Equation Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
CVPR 2021 SelfDoc: Self-Supervised Document Representation Learning Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
ICCV 2021 Towards Novel Target Discovery Through Open-Set Domain Adaptation Taotao Jing, Hongfu Liu, Zhengming Ding
IJCAI 2019 Adversarial Graph Embedding for Ensemble Clustering Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
AAAI 2019 Structured and Sparse Annotations for Image Emotion Distribution Learning Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu
AAAI 2018 Predictive Coding Machine for Compressed Sensing and Image Denoising Jun Li, Hongfu Liu, Yun Fu
IJCAI 2017 From Ensemble Clustering to Multi-View Clustering Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
AAAI 2017 Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
ICCVW 2017 Low-Shot Face Recognition with Hybrid Classifiers Yue Wu, Hongfu Liu, Yun Fu
IJCAI 2017 Projective Low-Rank Subspace Clustering via Learning Deep Encoder Jun Li, Hongfu Liu, Handong Zhao, Yun Fu
AAAI 2017 Simultaneous Clustering and Ensemble Zhiqiang Tao, Hongfu Liu, Yun Fu
AAAI 2016 Consensus Guided Unsupervised Feature Selection Hongfu Liu, Ming Shao, Yun Fu
IJCAI 2016 Incomplete Multi-Modal Visual Data Grouping Handong Zhao, Hongfu Liu, Yun Fu
IJCAI 2013 A Theoretic Framework of K-Means-Based Consensus Clustering Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao