Liu, Huan

103 publications

AAAI 2025 C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei
ICLR 2025 GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models Zewei Zhang, Huan Liu, Jun Chen, Xiangyu Xu
IJCAI 2025 HGMP: Heterogeneous Graph Multi-Task Prompt Learning Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
IJCAI 2025 Heterogeneous Temporal Hypergraph Neural Network Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
IJCAI 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
ICLR 2025 Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Zhixiang Chi, Li Gu, Huan Liu, Ziqiang Wang, Yanan Wu, Yang Wang, Konstantinos N Plataniotis
AAAI 2025 ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao
ICCV 2025 Plug-in Feedback Self-Adaptive Attention in CLIP for Training-Free Open-Vocabulary Segmentation Zhixiang Chi, Yanan Wu, Li Gu, Huan Liu, Ziqiang Wang, Yang Zhang, Yang Wang, Konstantinos Plataniotis
AAAI 2025 Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu
CVPR 2025 Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation Yiheng Li, Yang Yang, Zichang Tan, Huan Liu, Weihua Chen, Xu Zhou, Zhen Lei
IJCAI 2025 VidEvo: Evolving Video Editing Through Exhaustive Temporal Modeling Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang
CVPRW 2025 Window Token Concatenation for Efficient Visual Large Language Models Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
ICLR 2024 Adapting to Distribution Shift by Visual Domain Prompt Generation Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N Plataniotis, Yang Wang
AAAI 2024 CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen
ECML-PKDD 2024 Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck Lijing Zheng, Jihong Wang, Huan Liu, Minnan Luo
NeurIPSW 2024 Efficient Reinforcement Learning via Large Language Model-Based Search Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu, Subbarao Kambhampati
ECCV 2024 Facial Affective Behavior Analysis with Instruction Tuning Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
CVPR 2024 Forgery-Aware Adaptive Transformer for Generalizable Synthetic Image Detection Huan Liu, Zichang Tan, Chuangchuang Tan, Yunchao Wei, Jingdong Wang, Yao Zhao
WACV 2024 MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang
CVPRW 2024 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C
AAAI 2024 SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection Jiahao Wang, Caixia Yan, Weizhan Zhang, Huan Liu, Hao Sun, Qinghua Zheng
AAAI 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
AAAI 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
AAAI 2024 Test-Time Personalization with Meta Prompt for Gaze Estimation Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu
CVPRW 2023 A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer Yangyi Liu, Huan Liu, Liangyan Li, Zijun Wu, Jun Chen
CVPR 2023 Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li
AAAI 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
ICCV 2023 Group Pose: A Simple Baseline for End-to-End Multi-Person Pose Estimation Huan Liu, Qiang Chen, Zichang Tan, Jiang-Jiang Liu, Jian Wang, Xiangbo Su, Xiaolong Li, Kun Yao, Junyu Han, Errui Ding, Yao Zhao, Jingdong Wang
WACV 2023 Meta-Auxiliary Learning for Future Depth Prediction in Videos Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen, Jin Tang
CVPRW 2023 NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
ECML-PKDD 2023 PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
CVPRW 2023 SwinFSR: Stereo Image Super-Resolution Using SwinIR and Frequency Domain Knowledge Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen
ECML-PKDD 2022 "Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu
ECCV 2022 Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang
IJCAI 2022 Few-Shot Learning on Graphs Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
ICLR 2022 Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport Huan Liu, George Zhang, Jun Chen, Ashish J Khisti
AAAI 2022 Meta Propagation Networks for Graph Few-Shot Semi-Supervised Learning Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
CVPR 2022 MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang
CVPRW 2022 NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
ECML-PKDD 2022 Supervised Graph Contrastive Learning for Few-Shot Node Classification Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
IJCAI 2022 Text Transformations in Contrastive Self-Supervised Learning: A Review Amrita Bhattacharjee, Mansooreh Karami, Huan Liu
CVPR 2022 Towards Multi-Domain Single Image Dehazing via Test-Time Training Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang
LoG 2022 Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
IJCAI 2021 A Comparative Survey: Benchmarking for Pool-Based Active Learning Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan
CVPRW 2021 A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang
IJCAI 2021 Causal Learning for Socially Responsible AI Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
CVPRW 2021 DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang
AAAI 2021 Fact-Enhanced Synthetic News Generation Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
JAIR 2021 Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng, Kush R. Varshney, Huan Liu
ECML-PKDD 2020 Early Detection of Fake News with Multi-Source Weak Social Supervision Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu
IJCAI 2020 IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
IJCAI 2020 Inductive Anomaly Detection on Attributed Networks Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
ECML-PKDD 2020 Spatial Community-Informed Evolving Graphs for Demand Prediction Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu, Huan Liu
AAAI 2020 Tracking Disaster Footprints with Social Streaming Data Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu
IJCAI 2019 InterSpot: Interactive Spammer Detection in Social Media Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu
IJCAI 2019 PI-Bully: Personalized Cyberbullying Detection with Peer Influence Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
AAAI 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu
IJCAI 2018 ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
AAAI 2018 Exploiting Emotion on Reviews for Recommender Systems Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang
IJCAI 2018 INITIATOR: Noise-Contrastive Estimation for Marked Temporal Point Process Ruocheng Guo, Jundong Li, Huan Liu
AAAI 2018 Personalized Privacy-Preserving Social Recommendation Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
AAAI 2018 Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
AAAI 2018 Unsupervised Personalized Feature Selection Jundong Li, Liang Wu, Harsh Dani, Huan Liu
AAAI 2017 CLARE: A Joint Approach to Label Classification and Tag Recommendation Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
IJCAI 2017 How Unlabeled Web Videos Help Complex Event Detection? Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng
IJCAI 2017 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
IJCAI 2017 Radar: Residual Analysis for Anomaly Detection in Attributed Networks Jundong Li, Harsh Dani, Xia Hu, Huan Liu
IJCAI 2017 Reconstruction-Based Unsupervised Feature Selection: An Embedded Approach Jundong Li, Jiliang Tang, Huan Liu
ECML-PKDD 2017 Sentiment Informed Cyberbullying Detection in Social Media Harsh Dani, Jundong Li, Huan Liu
AAAI 2017 Unsupervised Sentiment Analysis with Signed Social Networks Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
IJCAI 2016 Multi-Label Informed Feature Selection Ling Jian, Jundong Li, Kai Shu, Huan Liu
CVPR 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
AAAI 2016 Predicting Online Protest Participation of Social Media Users Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
AAAI 2016 Recommendation with Social Dimensions Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
AAAI 2015 Content-Aware Point of Interest Recommendation on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
AAAI 2015 Embedded Unsupervised Feature Selection Suhang Wang, Jiliang Tang, Huan Liu
IJCAI 2015 Exploring Implicit Hierarchical Structures for Recommender Systems Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
AAAI 2015 Leveraging Social Foci for Information Seeking in Social Media Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
IJCAI 2015 Unsupervised Sentiment Analysis for Social Media Images Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
AAAI 2014 Online Social Spammer Detection Xia Hu, Jiliang Tang, Huan Liu
IJCAI 2013 Exploiting Local and Global Social Context for Recommendation Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
IJCAI 2013 Social Spammer Detection in Microblogging Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu
AAAI 2011 Understanding User Migration Patterns in Social Media Shamanth Kumar, Reza Zafarani, Huan Liu
AAAI 2010 Efficient Spectral Feature Selection with Minimum Redundancy Zheng Zhao, Lei Wang, Huan Liu
IJCAI 2009 Multiclass Probabilistic Kernel Discriminant Analysis Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye
CVPR 2007 Adaptive Distance Metric Learning for Clustering Jieping Ye, Zheng Zhao, Huan Liu
IJCAI 2007 Searching for Interacting Features Zheng Zhao, Huan Liu
ICML 2007 Spectral Feature Selection for Supervised and Unsupervised Learning Zheng Zhao, Huan Liu
ICML 2006 Feature Subset Selection Bias for Classification Learning Surendra K. Singhi, Huan Liu
IJCAI 2005 A Novel Approach to Model Generation for Heterogeneous Data Classification Rong Jin, Huan Liu
ECML-PKDD 2005 Error-Sensitive Grading for Model Combination Surendra K. Singhi, Huan Liu
IJCAI 2005 Learning with Labeled Sessions Rong Jin, Huan Liu
JMLR 2004 Efficient Feature Selection via Analysis of Relevance and Redundancy Lei Yu, Huan Liu
ICML 2004 Robust Feature Induction for Support Vector Machines Rong Jin, Huan Liu
ECML-PKDD 2004 SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data Rong Jin, Huan Liu
IJCAI 2003 Active Learning with Ensembles for Image Classification Huan Liu, Amit Mandvikar, Patricia G. Foschi, Kari Torkkola
ICML 2003 Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution Lei Yu, Huan Liu
ICML 2002 Feature Selection with Selective Sampling Huan Liu, Hiroshi Motoda, Lei Yu
ECML-PKDD 2001 Efficiently Determining the Starting Sample Size for Progressive Sampling Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
ECML-PKDD 1998 A Monotonic Measure for Optimal Feature Selection Huan Liu, Hiroshi Motoda, Manoranjan Dash
ECML-PKDD 1997 NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks Rudy Setiono, Huan Liu
ICML 1996 A Probabilistic Approach to Feature Selection - A Filter Solution Huan Liu, Rudy Setiono
IJCAI 1995 Understanding Neural Networks via Rule Extraction Rudy Setiono, Huan Liu