Huan Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
456
Venues
54
Active years
2015–2026
Best venue rank
A*
Where they publish
- ACIKM34 papers
- A*AAAI26 papers
- AWSDM26 papers
- A*KDD22 papers
- A*IJCAI21 papers
- ASDM17 papers
- A*WWW16 papers
- A*CVPR15 papers
- AICWSM11 papers
- A*ICDM11 papers
- A*ACL10 papers
- A*EMNLP10 papers
- BPAKDD6 papers
- A*SIGIR5 papers
- A*ICLR4 papers
- AMICCAI4 papers
- CCSCWD4 papers
- BIJCNN4 papers
- MulticonferenceICASSP3 papers
- BICONIP3 papers
- CICANN3 papers
- BCOLING2 papers
- A*ICCV2 papers
- A*ICRA2 papers
- BPRICAI2 papers
- BDSAA2 papers
- AEACL2 papers
- A*ECCV2 papers
- A*ICDE2 papers
- AWACV2 papers
- BIJCNLP2 papers
- CUIC2 papers
- CIGARSS2 papers
- NationalNSDI1 paper
- CADMA1 paper
- A*DAC1 paper
- ANAACL1 paper
- A*INFOCOM1 paper
- CSEKE1 paper
- AIROS1 paper
- CIECON1 paper
- BSISAP1 paper
- NationalVDA1 paper
- CAPWEB1 paper
- AECIR1 paper
- AFAST1 paper
- CISNN1 paper
- CISRR1 paper
- MulticonferenceICCS1 paper
- CICMV1 paper
- AISSRE1 paper
- CKSEM1 paper
- CINDIN1 paper
- NationalIRI1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. | Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu |
| 2026 | AAAI | RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking. | Yehan Sun, Rongrong Ni, Chuangchuang Tan, Huan Liu, Wenhao Ni, Renshuai Tao, Yao Zhao |
| 2026 | ACL | ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents. | Dawei Li, Yuguang Yao, Zhen Tan, Huan Liu, Ruocheng Guo |
| 2026 | ACL | AGTAO: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality. | Pengyu Li, Lingling Zhang, Zhitao Gao, Yanrui Wu, Yuxuan Dong, Huan Liu, Bifan Wei, Jun Liu |
| 2026 | ACL | ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning. | Xuan Xiong, Huan Liu, Li Gu, Zhixiang Chi, Yue Qiu, Yuanhao Yu, Yang Wang |
| 2026 | ACL | Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. | Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu |
| 2026 | ACL | One Pair Suffices: Unlocking Universal Zero-Shot Translation via Cross-Architecture Alignment. | Hao Zong, Conghu Yuan, Chao Bei, Wentao Chen, Huan Liu, Kaiyu Huang, Degen Huang |
| 2026 | NSDI | From Intention to Practice: Towards Systematic Validation of NIDS Rule Enforcement. | Huan Liu, Haoyu Chen, Biang Xu, Jingyao Zhou, Bin Yuan, Qiankun Zhang, Deqing Zou, Hai Jin |
| 2026 | PAKDD | From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars? | Dawei Li, Abdullah Alnaibari, Arslan Bisharat, Manuel Sandoval, Deborah L. Hall, Yasin N. Silva, Huan Liu |
| 2026 | PAKDD | CAMO: Causality-Guided Adversarial Multimodal DOmain Generalization for Crisis Classification. | Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu |
| 2026 | PAKDD | DependencyRAG: Dependency-Guided RAG for Multi-hop Question Answering. | Mengze Wang, Yefeng Yong, Meiyi Dong, Ying Chen, Wei Huang, Huan Liu |
| 2026 | WWW | Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling. | Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu |
| 2026 | WWW | Causality Guided Representation Learning for Cross-Style Hate Speech Detection. | Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Seluk Candan, Huan Liu |
| 2026 | WSDM | Workshop on Benchmarking Causal Models (CausalBench). | K. Selcuk Candan, Huan Liu, Ruocheng Guo, Paras Sheth |
| 2026 | WSDM | Report on the Workshop on Benchmarking Causal Models (CausalBench) 2026. | K. Seluk Candan, Ruocheng Guo, Huan Liu, Paras Sheth |
| 2026 | WSDM | On Causal and Anticausal LLM-based Data Synthesis. | Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, Huan Liu |
| 2026 | WSDM | CausalBench+: Causal-Informed Machine Learning Benchmarking. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Huan Liu, K. Selcuk Candan |
| 2026 | WSDM | Explaining the 'Unexplainable' Large Language Models. | Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu |
| 2025 | AAAI | Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. | Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ACL | In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. | Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister |
| 2025 | ACL | SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. | Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu |
| 2025 | ADMA | KA-CDRE: Knowledge-Augmented Cross-Document Relation Extraction. | Huan Liu, Peize Li, Jingzi Gu, Peng Fu, Zheng Lin, Weiping Wang |
| 2025 | CIKM | CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Paras Sheth, Huan Liu, K. Seluk Candan |
| 2025 | CIKM | Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era. | Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu |
| 2025 | CIKM | Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark. | Zhenhui Ou, Dawei Li, Zhen Tan, Wenlin Li, Huan Liu, Siyuan Song |
| 2025 | CIKM | An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. | Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu |
| 2025 | CIKM | GraphRCG: Self-Conditioned Graph Generation. | Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li |
| 2025 | CIKM | CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education. | Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, Huan Liu |
| 2025 | COLING | Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference. | Lanrui Wang, Jiangnan Li, Chenxu Yang, Zheng Lin, Hongyin Tang, Huan Liu, Yanan Cao, Jingang Wang, Weiping Wang |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Window Token Concatenation for Efficient Visual Large Language Models. | Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong |
| 2025 | EMNLP | From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. | Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu |
| 2025 | ICASSP | A Multi-Label EEG Dataset for Mental Attention State Classification in Online Learning. | Huan Liu, Yuzhe Zhang, Guanjian Liu, Xinxin Du, Haochong Wang, Dalin Zhang |
| 2025 | ICCV | 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 N. Plataniotis |
| 2025 | ICLR | 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 |
| 2025 | ICLR | GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models. | Zewei Zhang, Huan Liu, Jun Chen, Xiangyu Xu |
| 2025 | ICONIP | FPG2DNet: A Deep Learning Framework for Molecular Property Prediction via Multi-type Feature Fusion. | Xuecheng Wang, Lijuan Peng, Huan Liu, Yingkun Ren, Hongcheng Zhou, Zongjun Ren |
| 2025 | IJCAI | Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). | Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu |
| 2025 | IJCAI | VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling. | Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang |
| 2025 | IJCAI | HGMP: Heterogeneous Graph Multi-Task Prompt Learning. | Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi |
| 2025 | IJCAI | Heterogeneous Temporal Hypergraph Neural Network. | Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin |
| 2025 | ICRA | An Average-Distance Minimizing Motion Sweep for Bounded Spatial Objects and Its Application in Bzier-Like Freeform Motion Generation. | Huan Liu, Qiaode Jeffrey Ge |
| 2025 | KDD | AI4DE: The 1st International Workshop on AI for Data Editing. | Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei |
| 2025 | KDD | CausalBench: Causal Learning Research Streamlined. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Paras Sheth, Huan Liu, K. Seluk Candan |
| 2025 | KDD | RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2025 | MICCAI | A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation. | Geng Qin, Huan Liu, Wei Li, Haihao Zhang, Yuxing Guo |
| 2025 | PRICAI | Best of Both Worlds? A Glance at Efficient Reasoning for LLM-Based Machine Translation. | Hao Zong, Wentao Chen, Chao Bei, Conghu Yuan, Huan Liu, Kaiyu Huang, Degen Huang |
| 2025 | WWW | Resource-Efficient Learning for the Web. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2025 | WWW | RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2024 | AAAI | CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs. | Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen |
| 2024 | AAAI | Sterling: Synergistic Representation Learning on Bipartite Graphs. | Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong |
| 2024 | AAAI | Test-Time Personalization with Meta Prompt for Gaze Estimation. | Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu |
| 2024 | AAAI | Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. | Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu |
| 2024 | AAAI | SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection. | Jiahao Wang, Caixia Yan, Weizhan Zhang, Huan Liu, Hao Sun, Qinghua Zheng |
| 2024 | ACL | JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. | Anique Tahir, Lu Cheng, Huan Liu |
| 2024 | CIKM | Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. | Ahmet Kapki, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Seluk Candan |
| 2024 | CSCWD | Watch and Read! A Visual Relation-Aware and Textual Evidence Enhanced Model for Multimodal Relation Extraction. | Qianru Shen, Hailun Lin, Huan Liu, Zheng Lin, Weiping Wang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection. | Huan Liu, Zichang Tan, Chuangchuang Tan, Yunchao Wei, Jingdong Wang, Yao Zhao |
| 2024 | CVPR | Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection. | Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei |
| 2024 | DAC | Leanor: A Learning-Based Accelerator for Efficient Approximate Nearest Neighbor Search via Reduced Memory Access. | Yi Wang, Huan Liu, Jianan Yuan, Jiaxian Chen, Tianyu Wang, Chenlin Ma, Rui Mao |
| 2024 | DSAA | Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. | Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu |
| 2024 | DSAA | Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. | Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu |
| 2024 | EACL | Contextualization Distillation from Large Language Model for Knowledge Graph Completion. | Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu |
| 2024 | EACL | Exploiting Class Probabilities for Black-box Sentence-level Attacks. | Bahman Moraffah, Huan Liu |
| 2024 | ECCV | Facial Affective Behavior Analysis with Instruction Tuning. | Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong |
| 2024 | EMNLP | DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. | Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen |
| 2024 | EMNLP | Defending Against Social Engineering Attacks in the Age of LLMs. | Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg |
| 2024 | EMNLP | Large Language Models for Data Annotation and Synthesis: A Survey. | Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu |
| 2024 | EMNLP | Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. | Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu |
| 2024 | ICASSP | Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition. | Arash Rasti-Meymandi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis |
| 2024 | ICASSP | Towards Collaborative Multimodal Federated Learning for Human Activity Recognition in Smart Workplace Environments. | Seyed Mohammad Sheikholeslami, Pai Chet Ng, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis |
| 2024 | ICDE | LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table. | Yi Wang, Jianan Yuan, Shangyu Wu, Huan Liu, Jiaxian Chen, Chenlin Ma, Jianbin Qin |
| 2024 | ICLR | Adapting to Distribution Shift by Visual Domain Prompt Generation. | Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis, Yang Wang |
| 2024 | IJCNN | Exploiting Visual Relation and Multi-Grained Knowledge for Multimodal Relation Extraction. | Qianru Shen, Hailun Lin, Huan Liu, Zheng Lin, Weiping Wang |
| 2024 | ICWSM | Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. | Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu |
| 2024 | KDD | A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. | Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen |
| 2024 | KDD | RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu |
| 2024 | NAACL | Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. | Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu |
| 2024 | PAKDD | Adversarial Text Purification: A Large Language Model Approach for Defense. | Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu |
| 2024 | PAKDD | Interpreting Pretrained Language Models via Concept Bottlenecks. | Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu |
| 2024 | SIGIR | ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. | Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu |
| 2024 | WACV | MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. | Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang |
| 2024 | WSDM | Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. | Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu |
| 2024 | SDM | User Migration across Multiple Social Media Platforms. | Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu |
| 2024 | SDM | Disinformation Detection: An Evolving Challenge in the Age of LLMs. | Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu |
| 2024 | SDM | Label Distribution Learning-Enhanced Dual-KNN for Text Classification. | Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang |
| 2023 | AAAI | Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. | Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu |
| 2023 | CIKM | A Two-tier Shared Embedding Method for Review-based Recommender Systems. | Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang, Huan Liu |
| 2023 | CIKM | STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. | Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Seluk Candan |
| 2023 | CIKM | Fairness through Aleatoric Uncertainty. | Anique Tahir, Lu Cheng, Huan Liu |
| 2023 | CIKM | Learning Node Abnormality with Weak Supervision. | Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong |
| 2023 | CVPR | 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 Sjlund, Thomas B. Schn, 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 |
| 2023 | CVPR | SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge. | Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen |
| 2023 | CVPR | Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank. | Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li |
| 2023 | CVPR | A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer. | Yangyi Liu, Huan Liu, Liangyan Li, Zijun Wu, Jun Chen |
| 2023 | EMNLP | How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. | Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu |
| 2023 | ICANN | TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack. | Yier Wei, Haichang Gao, Yufei Wang, Huan Liu, Yipeng Gao, Sainan Luo, Qianwen Guo |
| 2023 | ICCV | 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 |
| 2023 | ICDM | Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. | Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu |
| 2023 | ICONIP | Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement. | Gaowen Liu, Huan Liu, Caixia Yan, Yuyang Guo, Rui Li, Sizhe Dang |
| 2023 | IJCNLP | ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. | Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu |
| 2023 | IJCNLP | J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. | Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland |
| 2023 | IJCNN | An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution. | Huan Liu, Mingwen Shao, Yuanjian Qiao, Fukang Liu |
| 2023 | IJCNN | Schema Item Matters in Knowledge Base Question Answering. | Zhe Wen, Qingyi Si, Zheng Lin, Huan Liu, Peng Fu, Weiping Wang |
| 2023 | INFOCOM | Bs-SpMM:Accelerate Sparse Matrix-Matrix Multiplication by Balanced Split Strategy on the GPU. | Mingfeng Guo, Yaobin Wang, Yajun Gu, Yufang Chen, Huan Liu, Huarong Chen, Dongxuan Han, Hengyang Xu, Chunhua Deng, Pingping Tang, Qi Huang |
| 2023 | KDD | Learning Strong Graph Neural Networks with Weak Information. | Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan |
| 2023 | KDD | Socially Responsible Machine Learning: A Causal Perspective. | Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu |
| 2023 | KDD | Virtual Node Tuning for Few-shot Node Classification. | Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu |
| 2023 | KDD | Contrastive Meta-Learning for Few-shot Node Classification. | Song Wang, Zhen Tan, Huan Liu, Jundong Li |
| 2023 | SIGIR | HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. | Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng |
| 2023 | WACV | Meta-Auxiliary Learning for Future Depth Prediction in Videos. | Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen, Jin Tang |
| 2023 | SEKE | Multi-source Machine Reading Comprehension with Meta-Learning and Adaptive Adversarial Training. | Zhe Wen, Yatao Qi, Huan Liu, Zheng Lin, Weiping Wang |
| 2023 | WSDM | GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. | Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan |
| 2022 | AAAI | Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. | Kaize Ding, Jianling Wang, James Caverlee, Huan Liu |
| 2022 | COLING | Debiasing Word Embeddings with Nonlinear Geometry. | Lu Cheng, Nayoung Kim, Huan Liu |
| 2022 | CVPR | MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning. | Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang |
| 2022 | CVPR | Towards Multi-domain Single Image Dehazing via Test-time Training. | Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | EMNLP | Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation. | Junpeng Liu, Kaiyu Huang, Jiuyi Li, Huan Liu, Jinsong Su, Degen Huang |
| 2022 | ICANN | Improving Stylized Image Captioning with Better Use of Transformer. | Yutong Tan, Zheng Lin, Huan Liu, Fan Zuo |
| 2022 | ICDM | Query-Efficient Target-Agnostic Black-Box Attack. | Raha Moraffah, Huan Liu |
| 2022 | ICDM | Physics-Informed Graph Learning. | Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu |
| 2022 | ICDM | Generalized Few-Shot Node Classification. | Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong |
| 2022 | ICLR | Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport. | Huan Liu, George Zhang, Jun Chen, Ashish J. Khisti |
| 2022 | IJCAI | Text Transformations in Contrastive Self-Supervised Learning: A Review. | Amrita Bhattacharjee, Mansooreh Karami, Huan Liu |
| 2022 | IJCAI | Few-Shot Learning on Graphs. | Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu |
| 2022 | IROS | Particle Swarm Optimizer-based Attack Strategy with Swarm Robots. | Huan Liu, Junqi Zhang, MengChu Zhou |
| 2022 | ICWSM | Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. | Lu Cheng, Ruocheng Guo, Kasim Seluk Candan, Huan Liu |
| 2022 | IECON | A General Data-driven Design Methodology of Magnetic Couplers for Wireless Power Transfer Systems. | Huan Liu, Jixie Xie, Shuyu Yang, Chong Zhu, Xi Zhang, Fei Lu |
| 2022 | KDD | Toward Graph Minimally-Supervised Learning. | Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu |
| 2022 | KDD | The KDD 2022 Workshop on Causal Discovery (CD2022). | Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu |
| 2022 | PRICAI | PEKIN: Prompt-Based External Knowledge Integration Network for Rumor Detection on Social Media. | Ziang Hu, Huan Liu, Kun Li, Yuhang Wang, Zongzhen Liu, Xiaodan Zhang |
| 2022 | WWW | Domain Adaptive Fake News Detection via Reinforcement Learning. | Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu |
| 2022 | WWW | "This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. | Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani |
| 2022 | SIGIR | Bias Mitigation for Toxicity Detection via Sequential Decisions. | Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2022 | UIC | Bayesian Contrastive Representation Learning for Dynamic Graph. | Zian Wu, Huijun Tang, Huan Liu |
| 2022 | WSDM | Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. | Lu Cheng, Ruocheng Guo, Huan Liu |
| 2022 | WSDM | Causal Mediation Analysis with Hidden Confounders. | Lu Cheng, Ruocheng Guo, Huan Liu |
| 2022 | WSDM | Graph Minimally-supervised Learning. | Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu |
| 2022 | WSDM | Graph Few-shot Class-incremental Learning. | Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu |
| 2022 | SISAP | Causal Disentanglement with Network Information for Debiased Recommendations. | Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Seluk Candan, Huan Liu |
| 2022 | VDA | Visualizing and Slicing Topological Surfaces in Four Dimensions. | Huan Liu, Hui Zhang |
| 2021 | AAAI | Fact-Enhanced Synthetic News Generation. | Kai Shu, Yichuan Li, Kaize Ding, Huan Liu |
| 2021 | ACL | Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach. | Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2021 | CIKM | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. | Kaize Ding, Xuan Shan, Huan Liu |
| 2021 | CIKM | CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. | Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Seluk Candan |
| 2021 | CSCWD | An Orthogonal Learning Design Whale Optimization Algorithm with Clustering Mechanism. | Fuqing Zhao, Haizhu Bao, Huan Liu |
| 2021 | CSCWD | A Novel Fruit Fly Optimization Algorithm with Vision Scanning Search and Extensive Learning Mechanism. | Fuqing Zhao, Ruiqing Ding, Jianxin Tang, Huan Liu |
| 2021 | CSCWD | Elitist Guided Parameter Adaptive Brain Storm Optimization Algorithm. | Fuqing Zhao, Xiaotong Hu, Jinlong Zhao, Huan Liu |
| 2021 | CVPR | DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing. | Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang |
| 2021 | CVPR | A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning. | Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang |
| 2021 | EMNLP | Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. | Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu |
| 2021 | ICANN | FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset. | Xiangyu Yin, Xiaohong Liu, Huan Liu |
| 2021 | ICDE | Reliable Recommendation with Review-level Explanations. | Yanzhang Lyu, Hongzhi Yin, Jun Liu, Mengyue Liu, Huan Liu, Shizhuo Deng |
| 2021 | IJCAI | Causal Learning for Socially Responsible AI. | Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu |
| 2021 | IJCAI | A Comparative Survey: Benchmarking for Pool-based Active Learning. | Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan |
| 2021 | KDD | Causal Understanding of Fake News Dissemination on Social Media. | Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu |
| 2021 | KDD | Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | The KDD 2021 Workshop on Causal Discovery (CD2021). | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | WWW | Few-shot Network Anomaly Detection via Cross-network Meta-learning. | Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu |
| 2021 | WWW | Improving Cyberbullying Detection with User Interaction. | Suyu Ge, Lu Cheng, Huan Liu |
| 2021 | WSDM | Long-Term Effect Estimation with Surrogate Representation. | Lu Cheng, Ruocheng Guo, Huan Liu |
| 2020 | AAAI | Tracking Disaster Footprints with Social Streaming Data. | Lu Cheng, Jundong Li, K. Seluk Candan, Huan Liu |
| 2020 | APWEB | WEKE: Learning Word Embeddings for Keyphrase Extraction. | Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang |
| 2020 | CIKM | The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media. | Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam |
| 2020 | CIKM | Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. | Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2020 | CIKM | Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. | Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu |
| 2020 | CIKM | Graph Prototypical Networks for Few-shot Learning on Attributed Networks. | Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu |
| 2020 | ECIR | Early Detection of Rumours on Twitter via Stance Transfer Learning. | Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu |
| 2020 | EMNLP | Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. | Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu |
| 2020 | FAST | HotRing: A Hotspot-Aware In-Memory Key-Value Store. | Jiqiang Chen, Liang Chen, Sheng Wang, Guoyun Zhu, Yuanyuan Sun, Huan Liu, Feifei Li |
| 2020 | IJCAI | Inductive Anomaly Detection on Attributed Networks. | Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu |
| 2020 | IJCAI | IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. | Ruocheng Guo, Jundong Li, Yichuan Li, K. Seluk Candan, Adrienne Raglin, Huan Liu |
| 2020 | ICWSM | Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. | Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu |
| 2020 | ISNN | An Efficient Method of Advertising on Online Social Networks. | Xitao Zou, Huan Liu, Xiangguang Dai, Jiang Xiong, Nian Zhang |
| 2020 | KDD | Debiasing Grid-based Product Search in E-commerce. | Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu |
| 2020 | MICCAI | Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. | Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang |
| 2020 | SIGIR | Next-item Recommendation with Sequential Hypergraphs. | Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee |
| 2020 | WSDM | Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. | Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu |
| 2020 | WSDM | Learning Individual Causal Effects from Networked Observational Data. | Ruocheng Guo, Jundong Li, Huan Liu |
| 2020 | SDM | Representation Learning for Imbalanced Cross-Domain Classification. | Lu Cheng, Ruocheng Guo, K. Seluk Candan, Huan Liu |
| 2020 | SDM | Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. | Ruocheng Guo, Jundong Li, Huan Liu |
| 2019 | AAAI | Unsupervised Fake News Detection on Social Media: A Generative Approach. | Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu |
| 2019 | CIKM | BigScholar 2019: The 6th Workshop on Big Scholarly Data. | Feng Xia, Huan Liu, Irwin King, Kuansan Wang |
| 2019 | CIKM | dEFEND: A System for Explainable Fake News Detection. | Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| 2019 | CIKM | #suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. | Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu |
| 2019 | CIKM | Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2019 | EMNLP | Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference. | Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu |
| 2019 | ICONIP | Writing Style Adversarial Network for Handwritten Chinese Character Recognition. | Huan Liu, Shujing Lyu, Hongjian Zhan, Yue Lu |
| 2019 | IJCAI | PI-Bully: Personalized Cyberbullying Detection with Peer Influence. | Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2019 | IJCAI | InterSpot: Interactive Spammer Detection in Social Media. | Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu |
| 2019 | ISRR | The PRISMA Hand II: A Sensorized Robust Hand for Adaptive Grasp and In-Hand Manipulation. | Huan Liu, Pasquale Ferrentino, Salvatore Pirozzi, Bruno Siciliano, Fanny Ficuciello |
| 2019 | KDD | Learning From Networks: Algorithms, Theory, and Applications. | Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu |
| 2019 | KDD | Adaptive Unsupervised Feature Selection on Attributed Networks. | Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu |
| 2019 | KDD | dEFEND: Explainable Fake News Detection. | Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu |
| 2019 | KDD | Fake News Research: Theories, Detection Strategies, and Open Problems. | Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu |
| 2019 | MICCAI | Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. | Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu |
| 2019 | PAKDD | Extracting Keyphrases from Research Papers Using Word Embeddings. | Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang |
| 2019 | WWW | Signed Link Prediction with Sparse Data: The Role of Personality Information. | Ghazaleh Beigi, Suhas Ranganath, Huan Liu |
| 2019 | WWW | Robust Cyberbullying Detection with Causal Interpretation. | Lu Cheng, Ruocheng Guo, Huan Liu |
| 2019 | UIC | Abductive Causal Reasoning for Internet of Things. | Adrienne Raglin, Anshuman Venkateswaran, Huan Liu |
| 2019 | WSDM | Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. | Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu |
| 2019 | WSDM | XBully: Cyberbullying Detection within a Multi-Modal Context. | Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2019 | WSDM | Interactive Anomaly Detection on Attributed Networks. | Kaize Ding, Jundong Li, Huan Liu |
| 2019 | WSDM | Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. | Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu |
| 2019 | WSDM | Beyond News Contents: The Role of Social Context for Fake News Detection. | Kai Shu, Suhang Wang, Huan Liu |
| 2019 | WSDM | Fake News: Fundamental Theories, Detection Strategies and Challenges. | Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu |
| 2019 | SDM | Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. | Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2019 | SDM | Deep Anomaly Detection on Attributed Networks. | Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu |
| 2018 | AAAI | Unsupervised Personalized Feature Selection. | Jundong Li, Liang Wu, Harsh Dani, Huan Liu |
| 2018 | AAAI | Exploiting Emotion on Reviews for Recommender Systems. | Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang |
| 2018 | AAAI | Personalized Privacy-Preserving Social Recommendation. | Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang |
| 2018 | AAAI | 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 |
| 2018 | CIKM | "Bridge": Enhanced Signed Directed Network Embedding. | Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun |
| 2018 | CIKM | Towards Explainable Networked Prediction. | Liangyue Li, Hanghang Tong, Huan Liu |
| 2018 | CIKM | Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. | Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu |
| 2018 | CIKM | Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. | Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu |
| 2018 | ICCS | An Effective Model Between Mobile Phone Usage and P2P Default Behavior. | Huan Liu, Lin Ma, Xi Zhao, Jianhua Zou |
| 2018 | ICDM | Deep Headline Generation for Clickbait Detection. | Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu |
| 2018 | ICDM | Interactive Unknowns Recommendation in E-Learning Systems. | Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu |
| 2018 | ICMV | Deep learning for UAV autonomous landing based on self-built image dataset. | Yinbo Xu, Yongwei Zhang, Huan Liu, Xiangke Wang |
| 2018 | IJCAI | INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. | Ruocheng Guo, Jundong Li, Huan Liu |
| 2018 | IJCAI | ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. | Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng |
| 2018 | KDD | Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. | Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2018 | MICCAI | Multimodal Fusion of Brain Networks with Longitudinal Couplings. | Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang |
| 2018 | WWW | Understanding and Predicting Delay in Reciprocal Relations. | Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu |
| 2018 | SIGIR | Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. | Liang Wu, Diane Hu, Liangjie Hong, Huan Liu |
| 2018 | WSDM | Streaming Link Prediction on Dynamic Attributed Networks. | Jundong Li, Kewei Cheng, Liang Wu, Huan Liu |
| 2018 | WSDM | Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests. | Suhas Ranganath, Ghazaleh Beigi, Huan Liu |
| 2018 | WSDM | CrossFire: Cross Media Joint Friend and Item Recommendations. | Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu |
| 2018 | WSDM | Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate. | Liang Wu, Huan Liu |
| 2018 | SDM | Toward Relational Learning with Misinformation. | Liang Wu, Jundong Li, Fred Morstatter, Huan Liu |
| 2018 | SDM | Multi-Layered Network Embedding. | Jundong Li, Chen Chen, Hanghang Tong, Huan Liu |
| 2017 | AAAI | Unsupervised Sentiment Analysis with Signed Social Networks. | Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu |
| 2017 | AAAI | CLARE: A Joint Approach to Label Classification and Tag Recommendation. | Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li |
| 2017 | CIKM | Attributed Network Embedding for Learning in a Dynamic Environment. | Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu |
| 2017 | CIKM | Attributed Signed Network Embedding. | Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu |
| 2017 | IJCAI | Radar: Residual Analysis for Anomaly Detection in Attributed Networks. | Jundong Li, Harsh Dani, Xia Hu, Huan Liu |
| 2017 | IJCAI | Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. | Jundong Li, Jiliang Tang, Huan Liu |
| 2017 | IJCAI | How Unlabeled Web Videos Help Complex Event Detection? | Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng |
| 2017 | IJCAI | Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. | Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2017 | ICWSM | Early Identification of Personalized Trending Topics in Microblogging. | Liang Wu, Xia Hu, Huan Liu |
| 2017 | ICWSM | Adaptive Spammer Detection with Sparse Group Modeling. | Liang Wu, Xia Hu, Fred Morstatter, Huan Liu |
| 2017 | ICWSM | Detecting Camouflaged Content Polluters. | Liang Wu, Xia Hu, Fred Morstatter, Huan Liu |
| 2017 | ISSRE | Perman: Fine-Grained Permission Management for Android Applications. | Jiaojiao Fu, Yangfan Zhou, Huan Liu, Yu Kang, Xin Wang |
| 2017 | KDD | Unsupervised Feature Selection in Signed Social Networks. | Kewei Cheng, Jundong Li, Huan Liu |
| 2017 | KDD | Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2017 | KSEM | Collaborative Filtering via Different Preference Structures. | Shaowu Liu, Na Pang, Guandong Xu, Huan Liu |
| 2017 | WWW | What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. | Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu |
| 2017 | SDM | Toward Personalized Relational Learning. | Jundong Li, Liang Wu, Osmar R. Zaane, Huan Liu |
| 2017 | SDM | Using a Random Forest to Inspire a Neural Network and Improving on It. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2017 | SDM | Signed Network Embedding in Social Media. | Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu |
| 2017 | SDM | Exploiting Hierarchical Structures for Unsupervised Feature Selection. | Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu |
| 2017 | SDM | Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. | Liang Wu, Jundong Li, Xia Hu, Huan Liu |
| 2016 | AAAI | Predicting Online Protest Participation of Social Media Users. | Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu |
| 2016 | AAAI | Recommendation with Social Dimensions. | Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu |
| 2016 | ACL | A Novel Measure for Coherence in Statistical Topic Models. | Fred Morstatter, Huan Liu |
| 2016 | CIKM | FeatureMiner: A Tool for Interactive Feature Selection. | Kewei Cheng, Jundong Li, Huan Liu |
| 2016 | CIKM | Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection. | Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu |
| 2016 | CIKM | Linked Document Embedding for Classification. | Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu |
| 2016 | CIKM | Paired Restricted Boltzmann Machine for Linked Data. | Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu |
| 2016 | CVPR | PPP: Joint Pointwise and Pairwise Image Label Prediction. | Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li |
| 2016 | ICDM | Toward Time-Evolving Feature Selection on Dynamic Networks. | Jundong Li, Xia Hu, Ling Jian, Huan Liu |
| 2016 | ICDM | Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. | Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2016 | IGARSS | LiDAR point classification based on joint sparse representation in kernel space. | Bingqian Xie, Yanfeng Gu, Qingwang Wang, Huan Liu |
| 2016 | IJCAI | Multi-Label Informed Feature Selection. | Ling Jian, Jundong Li, Kai Shu, Huan Liu |
| 2016 | ICWSM | Signed Link Analysis in Social Media Networks. | Ghazaleh Beigi, Jiliang Tang, Huan Liu |
| 2016 | ICWSM | Exploring Personal Attributes from Unprotected Interactions. | Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu |
| 2016 | ICWSM | Community Cores: Removing Size Bias from Community Detection. | Isaac Jones, Ran Wang, Jiawei Han, Huan Liu |
| 2016 | ICWSM | Identifying Rhetorical Questions in Social Media. | Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu |
| 2016 | ICWSM | Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis. | Jinxue Zhang, Xia Hu, Yanchao Zhang, Huan Liu |
| 2016 | WWW | Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content. | Fred Morstatter, Harsh Dani, Justin Sampson, Huan Liu |
| 2016 | WWW | Recommendations in Signed Social Networks. | Jiliang Tang, Charu C. Aggarwal, Huan Liu |
| 2016 | WSDM | Understanding and Identifying Advocates for Political Campaigns on Social Media. | Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu |
| 2016 | WSDM | Relational Learning with Social Status Analysis. | Liang Wu, Xia Hu, Huan Liu |
| 2016 | SDM | Exploiting Emotional Information for Trust/Distrust Prediction. | Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu |
| 2016 | SDM | Robust Unsupervised Feature Selection on Networked Data. | Jundong Li, Xia Hu, Liang Wu, Huan Liu |
| 2016 | SDM | Node Classification in Signed Social Networks. | Jiliang Tang, Charu C. Aggarwal, Huan Liu |
| 2015 | AAAI | Content-Aware Point of Interest Recommendation on Location-Based Social Networks. | Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu |
| 2015 | AAAI | Leveraging Social Foci for Information Seeking in Social Media. | Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu |
| 2015 | AAAI | Embedded Unsupervised Feature Selection. | Suhang Wang, Jiliang Tang, Huan Liu |
| 2015 | CIKM | Unsupervised Streaming Feature Selection in Social Media. | Jundong Li, Xia Hu, Jiliang Tang, Huan Liu |
| 2015 | CIKM | Toward Dual Roles of Users in Recommender Systems. | Suhang Wang, Jiliang Tang, Huan Liu |
| 2015 | CIKM | 10 Bits of Surprise: Detecting Malicious Users with Minimum Information. | Reza Zafarani, Huan Liu |
| 2015 | ICDM | Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. | Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu |
| 2015 | ICDM | Finding Time-Critical Responses for Information Seeking in Social Media. | Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu |
| 2015 | ICDM | Real-Time Crisis Mapping Using Language Distribution. | Justin Sampson, Fred Morstatter, Reza Zafarani, Huan Liu |
| 2015 | IJCAI | Exploring Implicit Hierarchical Structures for Recommender Systems. | Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu |
| 2015 | IJCAI | Unsupervised Sentiment Analysis for Social Media Images. | Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li |
| 2015 | IJCNN | Online diffusion source detection in social networks. | Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang |
| 2015 | INDIN | Context recognition for adaptive hearing-aids. | Eric Ke Wang, Huan Liu, Gang Wang, Yuming Ye, Tsu-Yang Wu, Chien-Ming Chen |
| 2015 | IRI | A Local SVD Framework for Stable Feature Selection for Clustering. | Salem Alelyani, Huan Liu |
| 2015 | ICRA | A single-actuator prosthetic hand using a continuum differential mechanism. | Kai Xu, Huan Liu, Zenghui Liu, Yuheng Du, Xiangyang Zhu |
| 2015 | IGARSS | A novel multiple kernel boosting method for hyperspectral image classification. | Huan Liu, Tianzhu Liu, Yanfeng Gu |
| 2015 | WWW | LIKE and Recommendation in Social Media. | Dongwon Lee, Huan Liu |
| 2015 | WWW | Visualizing Social Media Sentiment in Disaster Scenarios. | Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski |