Hongfu Liu - RankMe

115 papers A* 35A 4B 2Misc 1Journal 66Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis. CoRR Shrestha Datta, Hongfu Liu, Anshuman Chhabra
2026	J	`jnl`	Recontextualizing Famous Quotes for Brand Slogan Generation. CoRR Ziao Yang, Zizhang Chen, Lei Zhang, Hongfu Liu
2025	A*	`conf`	Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models. ICML Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu
2025	J	`jnl`	What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis. CoRR Shahriar Kabir Nahin, Wenxiao Xiao, Joshua Liu, Anshuman Chhabra, Hongfu Liu
2024	A*	`conf`	"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection. ICLR Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
2024	A*	`conf`	Category-Aware Active Domain Adaptation. ICML Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu
2024	J	`jnl`	Graph-Graph Similarity Network. IEEE Trans. Neural Networks Learn. Syst. Han Yue, Pengyu Hong, Hongfu Liu
2024	J	`jnl`	On the Inflation of KNN-Shapley Value. CoRR Ziao Yang, Han Yue, Jian Chen, Hongfu Liu
2024	J	`jnl`	Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions. CoRR Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu
2024	J	`jnl`	Revisit, Extend, and Enhance Hessian-Free Influence Functions. CoRR Ziao Yang, Han Yue, Jian Chen, Hongfu Liu
2024	J	`jnl`	Salutary Labeling with Zero Human Annotation. CoRR Wenxiao Xiao, Hongfu Liu
2023	J	`jnl`	Algorithm 1038: KCC: A MATLAB Package for ACM Trans. Math. Softw. Hao Lin, Hongfu Liu, Junjie Wu, Hong Li, Stephan Günnemann
2023	A*	`conf`	Characterizing the Influence of Graph Elements. ICLR Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
2023	J	`jnl`	Dual Node and Edge Fairness-Aware Graph Partition. CoRR TingWei Liu, Peizhao Li, Hongfu Liu
2023	A*	`conf`	Learning Antidote Data to Individual Unfairness. ICML Peizhao Li, Ethan Xia, Hongfu Liu
2023	J	`jnl`	Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2023	—	`conf`	Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) Peizhao Li, Zhengming Ding, Hongfu Liu
2023	A*	`conf`	Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
2023	J	`jnl`	Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. IEEE Trans. Pattern Anal. Mach. Intell. Han Yue, Jundong Li, Hongfu Liu
2023	J	`jnl`	Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu
2023	J	`jnl`	Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. CoRR Wenxiao Xiao, Zhengming Ding, Hongfu Liu
2023	J	`jnl`	Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery. CoRR Zhaonan Li, Hongfu Liu
2022	J	`jnl`	A Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2. IEEE Trans. Games Han Yue, Hongfu Liu, Jian Chen
2022	A*	`conf`	Achieving Fairness at No Utility Cost via Data Reweighing with Influence. ICML Peizhao Li, Hongfu Liu
2022	J	`jnl`	Achieving Fairness at No Utility Cost via Data Reweighing. CoRR Peizhao Li, Hongfu Liu
2022	J	`jnl`	Characterizing the Influence of Graph Elements. CoRR Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
2022	J	`jnl`	Contrastive Graph Few-Shot Learning. CoRR Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection. Remote. Sens. Wenguang Wang, Wenhong Wang, Hongfu Liu
2022	A*	`conf`	Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CVPR Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
2022	J	`jnl`	Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CoRR Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
2022	A	`conf`	Fairness of Machine Learning in Search Engines. CIKM Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin
2022	A*	`conf`	Label-invariant Augmentation for Semi-Supervised Graph Classification. NeurIPS Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
2022	J	`jnl`	Label-invariant Augmentation for Semi-Supervised Graph Classification. CoRR Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
2022	J	`jnl`	Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
2022	J	`jnl`	Learnable Visual Words for Interpretable Image Recognition. CoRR Wenxiao Xiao, Zhengming Ding, Hongfu Liu
2022	J	`jnl`	Learning Antidote Data to Individual Unfairness. CoRR Peizhao Li, Ethan Xia, Hongfu Liu
2022	A*	`conf`	Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. KDD Han Yue, Steve Q. Xia, Hongfu Liu
2022	J	`jnl`	Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. CoRR Han Yue, Steve Q. Xia, Hongfu Liu
2022	J	`jnl`	Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings. CoRR Zhihuan Kuang, Shi Zong, Jianbing Zhang, Jiajun Chen, Hongfu Liu
2022	J	`jnl`	Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
2022	J	`jnl`	Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu
2022	—	`conf`	Towards Cross-Modal Causal Structure and Representation Learning. ML4H@NeurIPS Haiyi Mao, Hongfu Liu, Jason Xiaotian Dou, Panayiotis V. Benos
2021	J	`jnl`	Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data. Remote. Sens. Xiaochen Lv, Wenhong Wang, Hongfu Liu
2021	J	`jnl`	Clustering With Outlier Removal. IEEE Trans. Knowl. Data Eng. Hongfu Liu, Jun Li, Yue Wu, Yun Fu
2021	A*	`conf`	Deep Clustering based Fair Outlier Detection. KDD Hanyu Song, Peizhao Li, Hongfu Liu
2021	J	`jnl`	Deep Clustering based Fair Outlier Detection. CoRR Hanyu Song, Peizhao Li, Hongfu Liu
2021	J	`jnl`	Economic Recession Prediction Using Deep Neural Network. CoRR Zihao Wang, Kun Li, Steve Q. Xia, Hongfu Liu
2021	A	`conf`	Fairness-Aware Unsupervised Feature Selection. CIKM Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021	J	`jnl`	Fairness-Aware Unsupervised Feature Selection. CoRR Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021	J	`jnl`	IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. CoRR Sibo Zhu, Handong Zhao, Hongfu Liu
2021	A*	`conf`	Implicit Semantic Response Alignment for Partial Domain Adaptation. NeurIPS Wenxiao Xiao, Zhengming Ding, Hongfu Liu
2021	J	`jnl`	Network-based virus-host interaction prediction with application to SARS-CoV-2. Patterns Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong
2021	A*	`conf`	On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu
2021	A*	`conf`	SelfDoc: Self-Supervised Document Representation Learning. CVPR Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
2021	J	`jnl`	SelfDoc: Self-Supervised Document Representation Learning. CoRR Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
2021	B	`conf`	Spatially Constrained GAN for Face and Fashion Synthesis. FG Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
2021	A*	`conf`	Towards Novel Target Discovery Through Open-Set Domain Adaptation. ICCV Taotao Jing, Hongfu Liu, Zhengming Ding
2021	J	`jnl`	Towards Novel Target Discovery Through Open-Set Domain Adaptation. CoRR Taotao Jing, Hongfu Liu, Zhengming Ding
2021	—	`conf`	Tweet Sentiment Analysis of the 2020 U.S. Presidential Election. WWW (Companion Volume) Ethan Xia, Han Yue, Hongfu Liu
2020	A*	`conf`	Deep Fair Clustering for Visual Learning. CVPR Peizhao Li, Han Zhao, Hongfu Liu
2020	J	`jnl`	Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing. Remote. Sens. Wenhong Wang, Hongfu Liu
2020	J	`jnl`	Evolutive preference analysis with online consumer ratings. Inf. Sci. Xue Li, Hongfu Liu, Bin Zhu
2020	J	`jnl`	Learnable Subspace Clustering. CoRR Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
2020	J	`jnl`	Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2020	J	`jnl`	Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR Peizhao Li, Zhengming Ding, Hongfu Liu
2020	J	`jnl`	Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wenhong Wang, Yuntao Qian, Hongfu Liu
2020	J	`jnl`	Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang
2019	A*	`conf`	Adversarial Graph Embedding for Ensemble Clustering. IJCAI Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
2019	J	`jnl`	Consensus Clustering: An Embedding Perspective, Extension and Beyond. CoRR Hongfu Liu, Zhiqiang Tao, Zhengming Ding
2019	J	`jnl`	Feature Selection with Unsupervised Consensus Guidance. IEEE Trans. Knowl. Data Eng. Hongfu Liu, Ming Shao, Yun Fu
2019	J	`jnl`	Knowledge Reused Outlier Detection. IEEE Access Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu
2019	A*	`conf`	Marginalized Latent Semantic Encoder for Zero-Shot Learning. CVPR Zhengming Ding, Hongfu Liu
2019	J	`jnl`	Multi-View Saliency-Guided Clustering for Image Cosegmentation. IEEE Trans. Image Process. Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
2019	J	`jnl`	Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2019	J	`jnl`	Spatially Constrained Generative Adversarial Networks for Conditional Image Generation. CoRR Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
2019	J	`jnl`	Structure-Preserved Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu
2019	A*	`conf`	Structured and Sparse Annotations for Image Emotion Distribution Learning. AAAI Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu
2018	J	`jnl`	Clustering with Outlier Removal. CoRR Hongfu Liu, Jun Li, Yue Wu, Yun Fu
2018	J	`jnl`	Consensus Guided Multi-View Clustering. ACM Trans. Knowl. Discov. Data Hongfu Liu, Yun Fu
2018	J	`jnl`	Consensus Regularized Multi-View Outlier Detection. IEEE Trans. Image Process. Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu
2018	—	`conf`	Fast Clustering with Flexible Balance Constraints. IEEE BigData Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
2018	J	`jnl`	Improving face representation learning with center invariant loss. Image Vis. Comput. Yue Wu, Hongfu Liu, Jun Li, Yun Fu
2018	J	`jnl`	Infinite ensemble clustering. Data Min. Knowl. Discov. Hongfu Liu, Ming Shao, Sheng Li, Yun Fu
2018	B	`conf`	Kinship Classification through Latent Adaptive Subspace. FG Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu
2018	J	`jnl`	Partition Level Constrained Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Hongfu Liu, Zhiqiang Tao, Yun Fu
2018	A*	`conf`	Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI Jun Li, Hongfu Liu, Yun Fu
2018	J	`jnl`	Predictive Local Smoothness for Stochastic Gradient Methods. CoRR Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu
2018	J	`jnl`	Visual Kinship Recognition of Families in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu
2017	J	`jnl`	Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks. CoRR Jun Li, Hongfu Liu, Yue Wu, Yun Fu
2017	A*	`conf`	Deep Face Recognition with Center Invariant Loss. ACM Multimedia (Thematic Workshops) Yue Wu, Hongfu Liu, Jun Li, Yun Fu
2017	J	`jnl`	Entropy-based consensus clustering for patient stratification. Bioinform. Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Cheng, Yun Fu, Yang-Yu Liu
2017	A*	`conf`	From Ensemble Clustering to Multi-View Clustering. IJCAI Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2017	J	`jnl`	Fuzzy Consensus Clustering With Applications on Big Data. IEEE Trans. Fuzzy Syst. Junjie Wu, Zhiang Wu, Jie Cao, Hongfu Liu, Guoqing Chen, Yanchun Zhang
2017	A*	`conf`	Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. AAAI Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
2017	—	`conf`	Low-Shot Face Recognition with Hybrid Classifiers. ICCV Workshops Yue Wu, Hongfu Liu, Yun Fu
2017	—	`conf`	Multi-view graph learning with adaptive label propagation. IEEE BigData Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu
2017	A*	`conf`	Projective Low-rank Subspace Clustering via Learning Deep Encoder. IJCAI Jun Li, Hongfu Liu, Handong Zhao, Yun Fu
2017	A*	`conf`	Simultaneous Clustering and Ensemble. AAAI Zhiqiang Tao, Hongfu Liu, Yun Fu
2017	J	`jnl`	Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence. IEEE Trans. Knowl. Data Eng. Hongfu Liu, Junjie Wu, Tongliang Liu, Dacheng Tao, Yun Fu
2016	A*	`conf`	Consensus Guided Unsupervised Feature Selection. AAAI Hongfu Liu, Ming Shao, Yun Fu
2016	A*	`conf`	Incomplete Multi-Modal Visual Data Grouping. IJCAI Handong Zhao, Hongfu Liu, Yun Fu
2016	A*	`conf`	Infinite Ensemble for Image Clustering. KDD Hongfu Liu, Ming Shao, Sheng Li, Yun Fu
2016	—	`conf`	Outlier detection via sampling ensemble. IEEE BigData Hongfu Liu, Yuchao Zhang, Bo Deng, Yun Fu
2016	A*	`conf`	Robust Multi-View Feature Selection. ICDM Hongfu Liu, Haiyi Mao, Yun Fu
2016	A	`conf`	Robust Spectral Ensemble Clustering. CIKM Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu
2016	A*	`conf`	Structure-Preserved Multi-source Domain Adaptation. ICDM Hongfu Liu, Ming Shao, Yun Fu
2015	A*	`conf`	Clustering with Partition Level Side Information. ICDM Hongfu Liu, Yun Fu
2015	A	`conf`	DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. SDM Hongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu
2015	J	`jnl`	K-Means-Based Consensus Clustering: A Unified View. IEEE Trans. Knowl. Data Eng. Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen
2015	A*	`conf`	Spectral Ensemble Clustering. KDD Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu
2013	A*	`conf`	A Theoretic Framework of K-Means-Based Consensus Clustering. IJCAI Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao
2013	Misc	`conf`	Consensus ranking from a utility view. ICNC Hongfu Liu, Yuchao Zhang, Xue Li
2013	A*	`conf`	How Many Zombies Around You? ICDM Hongfu Liu, Yuchao Zhang, Hao Lin, Junjie Wu, Zhiang Wu, Xu Zhang
2013	A*	`conf`	SEA: a system for event analysis on chinese tweets. KDD Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu, Jie Cao
2012	J	`jnl`	Cosine interesting pattern discovery. Inf. Sci. Junjie Wu, Shiwei Zhu, Hongfu Liu, Guoping Xia