| 2026 | AAAI | OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. | Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu |
| 2026 | EACL | Unlocking Large Audio-Language Models for Interactive Language Learning. | Hongfu Liu, Zhouying Cui, Xiangming Gu, Ye Wang |
| 2026 | WWW | Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games. | Dun Tan, Lixing Chen, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Pan Zhou |
| 2025 | ICLR | On Calibration of LLM-based Guard Models for Reliable Content Moderation. | Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang |
| 2025 | ICML | Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models. | Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu |
| 2024 | ACL | Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System. | Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang |
| 2024 | ACL | Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations. | Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen, Min-Yen Kan |
| 2024 | EMNLP | Advancing Test-Time Adaptation in Wild Acoustic Test Settings. | Hongfu Liu, Hengguan Huang, Ye Wang |
| 2024 | EMNLP | Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. | Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh |
| 2024 | ICLR | "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection. | Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu |
| 2024 | ICML | Category-Aware Active Domain Adaptation. | Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu |
| 2023 | EMNLP | Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning. | Hongfu Liu, Ye Wang |
| 2023 | ICLR | Characterizing the Influence of Graph Elements. | Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong |
| 2023 | ICLR | Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. | Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu |
| 2023 | ICML | Learning Antidote Data to Individual Unfairness. | Peizhao Li, Ethan Xia, Hongfu Liu |
| 2023 | Interspeech | Zero-Shot Automatic Pronunciation Assessment. | Hongfu Liu, Mingqian Shi, Ye Wang |
| 2023 | SMC | GMTDG: A Graph Generation Method for Mosaic Warfare Dynamic Kill Web. | Libin Chen, Luyao Wang, Chengyi Zeng, Hongfu Liu, Jing Chen |
| 2022 | CIKM | Fairness of Machine Learning in Search Engines. | Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin |
| 2022 | CVPR | Exploiting Temporal Relations on Radar Perception for Autonomous Driving. | Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu |
| 2022 | ICML | Achieving Fairness at No Utility Cost via Data Reweighing with Influence. | Peizhao Li, Hongfu Liu |
| 2022 | KDD | Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. | Han Yue, Steve Q. Xia, Hongfu Liu |
| 2021 | CIKM | Fairness-Aware Unsupervised Feature Selection. | Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li |
| 2021 | CVPR | SelfDoc: Self-Supervised Document Representation Learning. | Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu |
| 2021 | ICCV | Towards Novel Target Discovery Through Open-Set Domain Adaptation. | Taotao Jing, Hongfu Liu, Zhengming Ding |
| 2021 | ICLR | On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. | Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu |
| 2021 | ICML | STRODE: Stochastic Boundary Ordinary Differential Equation. | Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang |
| 2021 | KDD | Deep Clustering based Fair Outlier Detection. | Hanyu Song, Peizhao Li, Hongfu Liu |
| 2021 | WWW | Tweet Sentiment Analysis of the 2020 U.S. Presidential Election. | Ethan Xia, Han Yue, Hongfu Liu |
| 2020 | CVPR | Deep Fair Clustering for Visual Learning. | Peizhao Li, Han Zhao, Hongfu Liu |
| 2019 | AAAI | Structured and Sparse Annotations for Image Emotion Distribution Learning. | Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu |
| 2019 | CVPR | Marginalized Latent Semantic Encoder for Zero-Shot Learning. | Zhengming Ding, Hongfu Liu |
| 2019 | IJCAI | Adversarial Graph Embedding for Ensemble Clustering. | Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu |
| 2018 | AAAI | Predictive Coding Machine for Compressed Sensing and Image Denoising. | Jun Li, Hongfu Liu, Yun Fu |
| 2017 | AAAI | Simultaneous Clustering and Ensemble. | Zhiqiang Tao, Hongfu Liu, Yun Fu |
| 2017 | AAAI | Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. | Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu |
| 2017 | IJCAI | Projective Low-rank Subspace Clustering via Learning Deep Encoder. | Jun Li, Hongfu Liu, Handong Zhao, Yun Fu |
| 2017 | IJCAI | From Ensemble Clustering to Multi-View Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu |
| 2016 | AAAI | Consensus Guided Unsupervised Feature Selection. | Hongfu Liu, Ming Shao, Yun Fu |
| 2016 | CIKM | Robust Spectral Ensemble Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu |
| 2016 | ICDM | Robust Multi-View Feature Selection. | Hongfu Liu, Haiyi Mao, Yun Fu |
| 2016 | ICDM | Structure-Preserved Multi-source Domain Adaptation. | Hongfu Liu, Ming Shao, Yun Fu |
| 2016 | IJCAI | Incomplete Multi-Modal Visual Data Grouping. | Handong Zhao, Hongfu Liu, Yun Fu |
| 2016 | KDD | Infinite Ensemble for Image Clustering. | Hongfu Liu, Ming Shao, Sheng Li, Yun Fu |
| 2015 | ICDM | Clustering with Partition Level Side Information. | Hongfu Liu, Yun Fu |
| 2015 | ICNC | Analysis of a new pursuit-evasion game based on game theory. | Hao Chen, Jing Chen, Wanpeng Zhang, Hongfu Liu |
| 2015 | KDD | Spectral Ensemble Clustering. | Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu |
| 2015 | SDM | DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. | Hongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu |
| 2013 | HPCC | SLA-Driven State Monitoring for Cloud Services. | Yuchao Zhang, Hongfu Liu, Yuruo Lu, Bo Deng |
| 2013 | ICDM | How Many Zombies Around You? | Hongfu Liu, Yuchao Zhang, Hao Lin, Junjie Wu, Zhiang Wu, Xu Zhang |
| 2013 | ICNC | Consensus ranking from a utility view. | Hongfu Liu, Yuchao Zhang, Xue Li |
| 2013 | ICNC | Evolutionary clustering with DBSCAN. | Yuchao Zhang, Hongfu Liu, Bo Deng |
| 2013 | IJCAI | A Theoretic Framework of K-Means-Based Consensus Clustering. | Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao |
| 2013 | KDD | SEA: a system for event analysis on chinese tweets. | Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu, Jie Cao |
| 2005 | IGARSS | Short wavelength infrared images for indigenous coke-making sites monitoring in China. | Xiangsheng Kong, Fang Miao, Yuyang Dong, Hongfu Liu, Wenbo Shi, Jun Liang |