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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