Hongfu Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Revisit, Extend, and Enhance Hessian-Free Influence Functions	2024	Ziao Yang Yue Han Jian Chen Hongfu Liu
+ PDF Chat	On the Inflation of KNN-Shapley Value	2024	Ziao Yang Yue Han Jian Chen Hongfu Liu
+ PDF Chat	Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions	2024	Anshuman Chhabra Bo Li Jian Chen Prasant Mohapatra Hongfu Liu
+ PDF Chat	Mining Label Distribution Drift in Unsupervised Domain Adaptation	2023	Peizhao Li Zhengming Ding Hongfu Liu
+	Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery	2023	Zhaonan Li Hongfu Liu
+	Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation	2023	Wenxiao Xiao Zhengming Ding Hongfu Liu
+	Dual Node and Edge Fairness-Aware Graph Partition	2023	T. Liu Peizhao Li Hongfu Liu
+	Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning	2023	Hongfu Liu Ye Wang
+	Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts	2023	Hongfu Liu Hengguan Huang Ye Wang
+	Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning	2023	Hongfu Liu Ye Wang
+	Learnable Visual Words for Interpretable Image Recognition	2022	Wenxiao Xiao Zhengming Ding Hongfu Liu
+	Achieving Fairness at No Utility Cost via Data Reweighing with Influence	2022	Peizhao Li Hongfu Liu
+	Robust Fair Clustering: A Novel Fairness Attack and Defense Framework	2022	Anshuman Chhabra Peizhao Li Prasant Mohapatra Hongfu Liu
+	Learning Antidote Data to Individual Unfairness	2022	Peizhao Li Ethan Xia Hongfu Liu
+ PDF Chat	Spatially Constrained GAN for Face and Fashion Synthesis	2021	Songyao Jiang Hongfu Liu Yue Wu Yun Fu
+ PDF Chat	Towards Novel Target Discovery Through Open-Set Domain Adaptation	2021	Taotao Jing Hongfu Liu Zhengming Ding
+ PDF Chat	Deep Clustering based Fair Outlier Detection	2021	Hanyu Song Peizhao Li Hongfu Liu
+ PDF Chat	Deep Clustering based Fair Outlier Detection	2021	Hanyu Song Peizhao Li Hongfu Liu
+ PDF Chat	SelfDoc: Self-Supervised Document Representation Learning	2021	Peizhao Li Jiuxiang Gu Jason Kuen Vlad I. Morariu Handong Zhao Rajiv Jain Varun Manjunatha Hongfu Liu
+	Deep Clustering based Fair Outlier Detection	2021	Hanyu Song Peizhao Li Hongfu Liu
+	STRODE: Stochastic Boundary Ordinary Differential Equation	2021	Hengguan Huang Hongfu Liu Hao Wang Chang Xiao Ye Wang
+	IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation	2021	Sibo Zhu Handong Zhao Hongfu Liu
+	Towards Novel Target Discovery Through Open-Set Domain Adaptation	2021	Taotao Jing Hongfu Liu Zhengming Ding
+ PDF Chat	Enhancing Edge Attack Strategy via an OWA Operator-Based Ensemble Design in Real-World Networks	2020	Feng Yuan Baoan Ren Chengyi Zeng Yuyuan Yang Hongfu Liu
+	Mining Label Distribution Drift in Unsupervised Domain Adaptation	2020	Peizhao Li Zhengming Ding Hongfu Liu
+	Clustering With Outlier Removal	2019	Hongfu Liu Jun Li Yue Wu Yun Fu
+	Spatially Constrained Generative Adversarial Networks for Conditional Image Generation	2019	Songyao Jiang Hongfu Liu Yue Wu Yun Fu
+	Consensus Clustering: An Embedding Perspective, Extension and Beyond	2019	Hongfu Liu Zhiqiang Tao Zhengming Ding
+	Clustering with Outlier Removal	2018	Hongfu Liu Jun Li Yue Wu Yun Fu
+	Predictive Local Smoothness for Stochastic Gradient Methods	2018	Jun Li Hongfu Liu Bineng Zhong Yu’e Wu Yun Fu
+	Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.	2017	Jun Li Hongfu Liu Yue Wu Yun Fu
+	Improving Pseudospectral Method for Optimal Control Problems with Adaptive Collocation	2012	Hongfu Liu Xueqiang Gu Yu Zhang Jing Chen
+ PDF Chat	An Integrated Multicriterion <i>hp</i>‐Adaptive Pseudospectral Method for Direct Optimal Control Problems Solving	2012	Hongfu Liu Shaofei Chen Lincheng Shen Jing Chen

Common Coauthors

Coauthor	Papers Together
Peizhao Li	9
Zhengming Ding	7
Yun Fu	6
Ye Wang	4
Hanyu Song	2
Prasant Mohapatra	2
Hengguan Huang	2
Anshuman Chhabra	2
Jun Li	2
Jing Chen	2
Handong Zhao	2
Ziao Yang	2
Taotao Jing	2
Wenxiao Xiao	2
Yue Wu	2
Yue Wu	2
Songyao Jiang	2
Jian Chen	1
Yu Zhang	1
Jun Li	1
Hao Wang	1
Bo Li	1
Jun Li	1
Xueqiang Gu	1
Yue Han	1
Zhaonan Li	1
Feng Yuan	1
Yuyuan Yang	1
Chang Xiao	1
Yue Wu	1
Peizhao Li	1
Hanyu Song	1
Varun Manjunatha	1
Rajiv Jain	1
Jiuxiang Gu	1
Sibo Zhu	1
Zhiqiang Tao	1
Baoan Ren	1
Yu’e Wu	1
Vlad I. Morariu	1
T. Liu	1
Lincheng Shen	1
Bineng Zhong	1
Jian Chen	1
Chengyi Zeng	1
Jason Kuen	1
Shaofei Chen	1
Yue Han	1
Ethan Xia	1
Jian Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	4
+	Isolation Forest	2008	Fei Tony Liu Kai Ming Ting Zhi‐Hua Zhou	4
+	Efficient GAN-Based Anomaly Detection	2018	Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek Vijay Chandrasekhar	4
+ PDF Chat	Angle-based outlier detection in high-dimensional data	2008	Hans‐Peter Kriegel Matthias Schubert Arthur Zimek	4
+	Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series	2018	Dan Li Dacheng Chen Jonathan Goh See-kiong Ng	4
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	3
+	Unsupervised Representation Learning by Predicting Random Distances	2020	Wang Hu Guansong Pang Chunhua Shen Congbo Ma	3
+	PyOD: A Python Toolbox for Scalable Outlier Detection	2019	Yue Zhao Zain Nasrullah Zheng Li	3
+ PDF Chat	A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data	2009	Ke Zhang Marcus Hütter Huidong Jin	3
+	Feature bagging for outlier detection	2005	Aleksandar Lazarević Vipin Kumar	3
+	Clustering With Outlier Removal	2019	Hongfu Liu Jun Li Yue Wu Yun Fu	3
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	2
+	<i>R</i><sub>1</sub>-PCA	2006	Chris Ding Ding Zhou Xiaofeng He Hongyuan Zha	2
+ PDF Chat	Future Frame Prediction for Anomaly Detection - A New Baseline	2018	Wen Liu Weixin Luo Dongze Lian Shenghua Gao	2
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	2
+	Clustering with Bregman Divergences	2004	Arindam Banerjee Srujana Merugu Inderjit S. Dhillon Joydeep Ghosh	2
+ PDF Chat	Path-Specific Counterfactual Fairness	2019	Silvia Chiappa	2
+ PDF Chat	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation	2018	Bharath Bhushan Damodaran Benjamin Kellenberger Rémi Flamary Devis Tuia Nicolas Courty	2
+ PDF Chat	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation	2017	Hongliang Yan Yukang Ding Peihua Li Qilong Wang Yong Xu Wangmeng Zuo	2
+ PDF Chat	Unsupervised Domain Adaptation via Regularized Conditional Alignment	2019	Safa Cicek Stefano Soatto	2
+ PDF Chat	On the Translocation of Masses	2006	L. V. Kantorovich	2
+ PDF Chat	Deep Learning for Anomaly Detection	2021	Guansong Pang Chunhua Shen Longbing Cao Anton van den Hengel	2
+	Consensus Clustering: An Embedding Perspective, Extension and Beyond	2019	Hongfu Liu Zhiqiang Tao Zhengming Ding	2
+	Robust k-means: a Theoretical Revisit	2016	Alexandros Georgogiannis	2
+ PDF Chat	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery	2017	Thomas Schlegl Philipp Seeböck Sebastian M. Waldstein Ursula Schmidt‐Erfurth Georg Langs	2
+	Discovering cluster-based local outliers	2003	Zengyou He Xiaofei Xu Shengchun Deng	2
+ PDF Chat	Optimal Transport for Domain Adaptation	2016	Nicolas Courty Rémi Flamary Devis Tuia Alain Rakotomamonjy	2
+	On Integrated Clustering and Outlier Detection	2014	Lionel Ott Linsey Pang Fábio Ramos Sanjay Chawla	2
+ PDF Chat	A reweighting approach to robust clustering	2017	Francesco Dotto Alessio Farcomeni Luis Ángel García-Escudero Agustín Mayo‐Iscar	2
+	An Empirical Study of Rich Subgroup Fairness for Machine Learning	2019	Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu	2
+	Information-Theoretic Outlier Detection for Large-Scale Categorical Data	2011	Shu Wu Shengrui Wang	2
+ PDF Chat	Sparse Subspace Clustering: Algorithm, Theory, and Applications	2013	Ehsan Elhamifar René Vidal	2
+ PDF Chat	Finding community structure in networks using the eigenvectors of matrices	2006	M. E. J. Newman	1
+	hp-adaptive least squares spectral element method for population balance equations	2007	Carlos A. Dorao Hugo A. Jakobsen	1
+ PDF Chat	Predicting missing links via local information	2009	Tao Zhou Linyuan Lü Yi‐Cheng Zhang	1
+ PDF Chat	Explicit methods for stiff ODEs from atmospheric chemistry	1995	J.G. Verwer David Simpson	1
+	Data structures and load balancing for parallel adaptive hp finite-element methods	2003	Abani Patra Andras Laszloffy Jingping Long	1
+ PDF Chat	Robustness of a Network of Networks	2011	Jianxi Gao Sergey V. Buldyrev Shlomo Havlin H. Eugene Stanley	1
+	Comparison of cascading failures in small-world and scale-free networks subject to vertex and edge attacks	2009	Zhejing Bao Yanlong Cao Lin Ding G.Z. Wang	1
+ PDF Chat	HiCS: High Contrast Subspaces for Density-Based Outlier Ranking	2012	Fabian Keller Emmanuel Müller Klemens Böhm	1
+ PDF Chat	Influence maximization in complex networks through optimal percolation	2015	Flaviano Morone Hernán A. Makse	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+	VULNERABILITY OF EFFECTIVE ATTACK ON EDGES IN SCALE-FREE NETWORKS DUE TO CASCADING FAILURES	2009	Jianwei Wang Lili Rong	1
+	Some methods of speeding up the convergence of iteration methods	1964	B. T. Polyak	1
+ PDF Chat	Enhancing network robustness against malicious attacks	2012	An Zeng Weiping Liu	1
+	None	2002	Leszek Demkowicz W. Rachowicz Ph. Devloo	1
+	The Matrix-Forest Theorem and Measuring Relations in Small Social Groups	2006	Pavel Chebotarev Elena Shamis	1
+	A unified framework for the numerical solution of optimal control problems using pseudospectral methods	2010	Divya Garg Michael Patterson William W. Hager Anil V. Rao David A. Benson Geoffrey T. Huntington	1
+	Theoretical Foundations and Algorithms for Outlier Ensembles	2015	Charų C. Aggarwal Saket Sathe	1