| 2026 | AAAI | Arbitrary-Scale 3D Gaussian Super-Resolution. | Huimin Zeng, Yue Bai, Yun Fu |
| 2026 | ACL | Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation. | Jiaju Chen, Yuxuan Lu, Xiaojie Wang, Huimin Zeng, Jing Huang, Jiri Gesi, Ying Xu, Bingsheng Yao, Dakuo Wang |
| 2026 | ACL | Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs. | Qihua Dong, Yitian Zhang, Huimin Zeng, Yizhou Wang, Jianglin Lu, Kuo Yang, Yun Fu |
| 2026 | ACL | Distorted or Fabricated? A Survey on Hallucination in Video LLMs. | Yiyang Huang, Yitian Zhang, Yizhou Wang, Mingyuan Zhang, Liang Shi, Huimin Zeng, Yun Fu |
| 2026 | ACL | ACBQ: Adaptive Cross-Block Quantization of Large Language Models. | Hailing Wang, Jianglin Lu, Yitian Zhang, Huimin Zeng, Yun Fu |
| 2026 | WWW | Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy. | Zelin Li, Yifan Liu, Huimin Zeng, Yaokun Liu, Ruichen Yao, Yang Zhang, Dong Wang |
| 2025 | CVPR | NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results. | Varun Jain, Zongwei Wu, Quan Zou, Louis Florentin, Henrik Turbell, Sandeep Siddhartha, Radu Timofte, Qifan Gao, Linyan Jiang, Qing Luo, Jie Song, Yaqing Li, Summer Luo, Mae Chen, Stefan Liu, Danie Song, Huimin Zeng, Qi Chen, Ajeet Kumar Verma, Shweta Tripathi, Vinit Jakhetiya, Badri N. Subhdhi, Sunil Jaiswal |
| 2025 | CVPR | Plug-and-Play Versatile Compressed Video Enhancement. | Huimin Zeng, Jiacheng Li, Zhiwei Xiong |
| 2025 | ICLR | A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation. | Huimin Zeng, Xiaojie Wang, Anoop Jain, Zhicheng Dou, Dong Wang |
| 2025 | KDD | Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation. | Zhenrui Yue, Huimin Zeng, Yueqi Wang, Julian J. McAuley, Dong Wang |
| 2025 | WACV | All-in-One Image Compression and Restoration. | Huimin Zeng, Jiacheng Li, Ziqiang Zheng, Zhiwei Xiong |
| 2024 | ACL | Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments. | Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang |
| 2024 | ACL | Fair Federated Learning with Biased Vision-Language Models. | Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang |
| 2024 | ECCV | MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description. | Ziqiang Zheng, Yiwei Chen, Huimin Zeng, Tuan-Anh Vu, Binh-Son Hua, Sai-Kit Yeung |
| 2024 | EMNLP | Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. | Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley |
| 2024 | ICDCS | Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. | Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang |
| 2024 | ICWSM | A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media. | Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang |
| 2024 | NAACL | Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. | Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang |
| 2024 | NAACL | Open-Vocabulary Federated Learning with Multimodal Prototyping. | Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2024 | WWW | MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. | Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang |
| 2024 | WWW | SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2024 | SIGIR | Fair Sequential Recommendation without User Demographics. | Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | WSDM | Linear Recurrent Units for Sequential Recommendation. | Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang |
| 2023 | AAAI | A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. | Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | ACL | Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. | Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang |
| 2023 | ACL | MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. | Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | CIKM | Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. | Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | IJCAI | On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. | Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang |
| 2023 | IJCAI | On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang |
| 2023 | WWW | CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. | Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | SECON | A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2022 | CIKM | Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | COLING | Domain Adaptation for Question Answering via Question Classification. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | DCOSS | Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | EMNLP | QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. | Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang |
| 2022 | IJCAI | Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection. | Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang |
| 2022 | IJCAI | On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. | Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | RecSys | Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2021 | AAAI | Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. | Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang |
| 2021 | RecSys | Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. | Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |