Hongfu Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 117

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

AAAI

KDD

Publications

Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang
Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset. CoRR (2024)
Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Han Yue, Jundong Li, Hongfu Liu
Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Hongfu Liu, Hengguan Huang, Ye Wang
Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts. CoRR (2023)
Peizhao Li, Ethan Xia, Hongfu Liu
Learning Antidote Data to Individual Unfairness. ICML (2023)
Hongfu Liu, Bin Li, Changlong Gao, Pei Xie, Chenglin Zhao
Privacy-Encoded Federated Learning Against Gradient-Based Data Reconstruction Attacks. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. CoRR (2023)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR (2023)
Zhaonan Li, Hongfu Liu
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery. CoRR (2023)
Hongfu Liu, Ye Wang
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning. CoRR (2023)
Tingwei Liu, Peizhao Li, Hongfu Liu
Dual Node and Edge Fairness-Aware Graph Partition. CoRR (2023)
Hongfu Liu, Mingqian Shi, Ye Wang
Zero-Shot Automatic Pronunciation Assessment. CoRR (2023)
Libin Chen, Luyao Wang, Chengyi Zeng, Hongfu Liu, Jing Chen
Searching High-value Edges Attack sequence through deep Reinforcement learning. Knowl. Based Syst. 272 (2023)
Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
Characterizing the Influence of Graph Elements. ICLR (2023)
Chengyi Zeng, Hongfu Liu, Lina Lu, Jing Chen, Zongtan Zhou
SHATTER: Searching Heterogeneous Combat Network Attack Sequences Through Network Embedding and Reinforcement Learning. IEEE Syst. J. 17 (3) (2023)
Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
Label-invariant Augmentation for Semi-Supervised Graph Classification. NeurIPS (2022)
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Learnable Visual Words for Interpretable Image Recognition. CoRR (2022)
Peizhao Li, Hongfu Liu
Achieving Fairness at No Utility Cost via Data Reweighing with Influence. ICML (2022)
Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
Label-invariant Augmentation for Semi-Supervised Graph Classification. CoRR (2022)
Han Yue, Steve Q. Xia, Hongfu Liu
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. KDD (2022)
Hongfu Liu, Ziping Wei, Hengsheng Zhang, Bin Li, Chenglin Zhao
Tiny Machine Learning (Tiny-ML) for Efficient Channel Estimation and Signal Detection. IEEE Trans. Veh. Technol. 71 (6) (2022)
Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu
Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. 52 (12) (2022)
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Contrastive Graph Few-Shot Learning. CoRR (2022)
Haiyi Mao, Hongfu Liu, Jason Xiaotian Dou, Panayiotis V. Benos
Towards Cross-Modal Causal Structure and Representation Learning. ML4H@NeurIPS (2022)
Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin
Fairness of Machine Learning in Search Engines. CIKM (2022)
Han Yue, Steve Q. Xia, Hongfu Liu
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. CoRR (2022)
Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
Characterizing the Influence of Graph Elements. CoRR (2022)
Han Yue, Hongfu Liu, Jian Chen
A Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2. IEEE Trans. Games 14 (2) (2022)
Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CoRR (2022)
Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CVPR (2022)
Wenguang Wang, Wenhong Wang, Hongfu Liu
Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection. Remote. Sens. 14 (5) (2022)
Ziping Wei, Hongfu Liu, Bin Li, Chenglin Zhao
Joint Massive MIMO CSI Estimation and Feedback via Randomized Low-Rank Approximation. IEEE Trans. Veh. Technol. 71 (7) (2022)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR (2022)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Peizhao Li, Hongfu Liu
Achieving Fairness at No Utility Cost via Data Reweighing. CoRR (2022)
Zhihuan Kuang, Shi Zong, Jianbing Zhang, Jiajun Chen, Hongfu Liu
Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings. CoRR (2022)
Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation. NeurIPS (2022)
Peizhao Li, Ethan Xia, Hongfu Liu
Learning Antidote Data to Individual Unfairness. CoRR (2022)
Hanyu Song, Peizhao Li, Hongfu Liu
Deep Clustering based Fair Outlier Detection. KDD (2021)
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
Fairness-Aware Unsupervised Feature Selection. CIKM (2021)
Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
STRODE: Stochastic Boundary Ordinary Differential Equation. CoRR (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CVPR (2021)
Taotao Jing, Hongfu Liu, Zhengming Ding
Towards Novel Target Discovery Through Open-Set Domain Adaptation. ICCV (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CoRR (2021)
Sibo Zhu, Handong Zhao, Hongfu Liu
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. CoRR (2021)
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Implicit Semantic Response Alignment for Partial Domain Adaptation. NeurIPS (2021)
Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
Spatially Constrained GAN for Face and Fashion Synthesis. FG (2021)
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
Fairness-Aware Unsupervised Feature Selection. CoRR (2021)
Hanyu Song, Peizhao Li, Hongfu Liu
Deep Clustering based Fair Outlier Detection. CoRR (2021)
Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
STRODE: Stochastic Boundary Ordinary Differential Equation. ICML (2021)
Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR (2021)
Ethan Xia, Han Yue, Hongfu Liu
Tweet Sentiment Analysis of the 2020 U.S. Presidential Election. WWW (Companion Volume) (2021)
Taotao Jing, Hongfu Liu, Zhengming Ding
Towards Novel Target Discovery Through Open-Set Domain Adaptation. CoRR (2021)
Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong
Network-based virus-host interaction prediction with application to SARS-CoV-2. Patterns 2 (5) (2021)
Xiaochen Lv, Wenhong Wang, Hongfu Liu
Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data. Remote. Sens. 13 (2) (2021)
Ziping Wei, Haozhan Li, Hongfu Liu, Bin Li, Chenglin Zhao
Randomized Low-Rank Approximation Based Massive MIMO CSI Compression. IEEE Commun. Lett. 25 (6) (2021)
Zihao Wang, Kun Li, Steve Q. Xia, Hongfu Liu
Economic Recession Prediction Using Deep Neural Network. CoRR (2021)
Hongfu Liu, Jun Li, Yue Wu, Yun Fu
Clustering With Outlier Removal. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Wenhong Wang, Yuntao Qian, Hongfu Liu
Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang
Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. 50 (11) (2020)
Hongfu Liu, Xu Yang, Peijun Chen, Mengwei Sun, Bin Li, Chenglin Zhao
Deep Learning Based Nonlinear Signal Detection in Millimeter-Wave Communications. IEEE Access 8 (2020)
Yuan Feng, Baoan Ren, Chengyi Zeng, Yuyuan Yang, Hongfu Liu
Enhancing Edge Attack Strategy via an OWA Operator-Based Ensemble Design in Real-World Networks. Entropy 22 (8) (2020)
Peizhao Li, Zhengming Ding, Hongfu Liu
Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR (2020)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. CoRR (2020)
Yuan Feng, Meng-Lin Li, Chengyi Zeng, Hongfu Liu
Robustness of Internet of Battlefield Things (IoBT): A Directed Network Perspective. Entropy 22 (10) (2020)
Peizhao Li, Han Zhao, Hongfu Liu
Deep Fair Clustering for Visual Learning. CVPR (2020)
Wenhong Wang, Hongfu Liu
Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing. Remote. Sens. 12 (18) (2020)
Xue Li, Hongfu Liu, Bin Zhu
Evolutive preference analysis with online consumer ratings. Inf. Sci. 541 (2020)
Shayan Gupta, Xuan Xu, Hongfu Liu, Jacqueline Zhang, Joshua N. Bas, Shawn K. Kelly
Development of Hearing Technology with Personalized Safe Listening Features. ITU Kaleidoscope (2019)
Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu
Knowledge Reused Outlier Detection. IEEE Access 7 (2019)
Baoan Ren, Yaobo Song, Yu Zhang, Hongfu Liu, Jing Chen, Lincheng Shen
Reconstruction of Complex Networks Under Missing and Spurious Noise Without Prior Knowledge. IEEE Access 7 (2019)
Chengyi Zeng, Baoan Ren, Hongfu Liu, Jing Chen
Applying the Bayesian Stackelberg Active Deception Game for Securing Infrastructure Networks. Entropy 21 (9) (2019)
Zhengming Ding, Hongfu Liu
Marginalized Latent Semantic Encoder for Zero-Shot Learning. CVPR (2019)
Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu
Structure-Preserved Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
Multi-View Saliency-Guided Clustering for Image Cosegmentation. IEEE Trans. Image Process. 28 (9) (2019)
Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
Spatially Constrained Generative Adversarial Networks for Conditional Image Generation. CoRR (2019)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Hongfu Liu, Ming Shao, Yun Fu
Feature Selection with Unsupervised Consensus Guidance. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
Adversarial Graph Embedding for Ensemble Clustering. IJCAI (2019)
Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu
Structured and Sparse Annotations for Image Emotion Distribution Learning. AAAI (2019)
Hongfu Liu, Zhiqiang Tao, Zhengming Ding
Consensus Clustering: An Embedding Perspective, Extension and Beyond. CoRR (2019)
Zhaolin Qiu, Yufan Ren, Canchen Li, Hongfu Liu, Yifan Huang, Yiheng Yang, Songruoyao Wu, Hanjia Zheng, Juntao Ji, Jianjia Yu, Kejun Zhang
Mind Band: A Crossmedia AI Music Composing Platform. ACM Multimedia (2019)
Zhen Yang, Wanpeng Zhang, Hongfu Liu, Zhanyang Wei
基于PAGA的RTS游戏多单元控制方法研究 (Research on Multi-units Control Method in RTS Games Based on PAGA). 计算机科学 45 (11A) (2018)
Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu
Kinship Classification through Latent Adaptive Subspace. FG (2018)
Hongfu Liu, Jun Li, Yue Wu, Yun Fu
Clustering with Outlier Removal. CoRR (2018)
Yue Wu, Hongfu Liu, Jun Li, Yun Fu
Improving face representation learning with center invariant loss. Image Vis. Comput. 79 (2018)
Wanpeng Zhang, Zhen Yang, Lipeng Yang, Hongfu Liu
Recommendation Technology Summarize on Multi-agent Game Confrontation. CCIS (2018)
Hongfu Liu, Zhiqiang Tao, Yun Fu
Partition Level Constrained Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 40 (10) (2018)
Yuang Wang, Hongfu Liu, Baoan Ren, Jing Chen
Network Layer Weight Calculation Method for Social Rumor Communication Network. BDIOT (2018)
Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu
Predictive Local Smoothness for Stochastic Gradient Methods. CoRR (2018)
Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu
Consensus Regularized Multi-View Outlier Detection. IEEE Trans. Image Process. 27 (1) (2018)
Jun Li, Hongfu Liu, Yun Fu
Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI (2018)
Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu
Visual Kinship Recognition of Families in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Zhen Yang, Wanpeng Zhang, Hongfu Liu
Artificial Intelligence Techniques on Real-time Strategy Games. CSAI/ICIMT (2018)
Hongfu Liu, Yun Fu
Consensus Guided Multi-View Clustering. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
Fast Clustering with Flexible Balance Constraints. IEEE BigData (2018)
Hongfu Liu, Ming Shao, Sheng Li, Yun Fu
Infinite ensemble clustering. Data Min. Knowl. Discov. 32 (2) (2018)
Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Cheng, Yun Fu, Yang-Yu Liu
Entropy-based consensus clustering for patient stratification. Bioinform. 33 (17) (2017)
Rui Yao, Lunche Wang, Xin Huang, Xian Guo, Zigeng Niu, Hongfu Liu
Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001-2015. Remote. Sens. 9 (1) (2017)

Hongfu Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hongfu Liu