| 2026 | ICDE | MVGPT: Generative Materialized View Forecasting. | Yue Han, Guoliang Li, Wenchun Xu, Xianglei Ran, Zeya Gong, Wei Guo, Guang Qiu, Bo Zheng |
| 2026 | WCNC | Performance Analysis of zeARIS Communications with Adaptive Gain. | Yayun Qu, Kunrui Cao, Haolian Chi, Tao Wang, Yuqiang Sheng, Xinhao Zhou, Yue Han |
| 2025 | AAAI | Metric Distortion of Line-up Elections: The Right Person for the Right Job. | Christopher Jerrett, Yue Han, Elliot Anshelevich |
| 2025 | CVPR | GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model. | Yue Han, Jiangning Zhang, Junwei Zhu, Runze Hou, Xiaozhong Ji, Chuming Lin, Xiaobin Hu, Zhucun Xue, Yong Liu |
| 2025 | ICASSP | Low-Rank Tucker Decomposition of Multi-Subject Complex-Valued fMRI Data. | Bin-Hua Zhao, Qiu-Hua Lin, Yue Han, Jia-Yang Song, Yan-Wei Niu, Vince D. Calhoun |
| 2025 | ICML | Flow Matching for Denoised Social Recommendation. | Yinxuan Huang, Ke Liang, Zhuofan Dong, Xiaodong Qu, Tianxiang Wang, Yue Han, Jingao Xu, Bin Zhou, Ye Wang |
| 2025 | IROS | IHGSL: Interpretable Heuristic Graph Structure Learning for Multi-Robot Autonomous Collaborative Systems. | Yue Han, Hanqi Li, Cuiwei Liu, Chen Liang, Zhixiao Sun |
| 2025 | PRICAI | CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-scale Adaptive Fusion. | Shengchang Wang, Yue Han, Yanjun Qin, Yongke Li, Zhaoru Guo, Feng Yan, Lei Su, Haoxiang Huang, Tiquan Gu, Panpan Zheng |
| 2024 | ECCV | Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control. | Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu |
| 2024 | IJCNN | Spatio-Temporal Graph Learning for Enhanced Agent Collaboration in Multi-Aircraft Combat. | Zhengchao Wang, Cuiwei Liu, Yue Han, Chen Liang, Huaijun Qiu |
| 2023 | AAAI | Optimizing Multiple Simultaneous Objectives for Voting and Facility Location. | Yue Han, Christopher Jerrett, Elliot Anshelevich |
| 2023 | CVPR | An Ensemble Method with Edge Awareness for Abnormally Shaped Nuclei Segmentation. | Yue Han, Yang Lei, Viktor Shkolnikov, Daisy Xin, Alicia Auduong, Steven Barcelo, Jan P. Allebach, Edward J. Delp |
| 2023 | CVPR | High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning. | Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu |
| 2023 | ICCV | Learning Global-aware Kernel for Image Harmonization. | Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu |
| 2023 | ICONIP | Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia. | Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Ying-Guang Hao, Wei-Xing Li, Xiao-Feng Gong, Vince D. Calhoun |
| 2022 | AAAI | SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. | Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu |
| 2022 | ECCV | Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping. | Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu |
| 2022 | EMNLP | Multilingual Sentence Transformer as A Multilingual Word Aligner. | Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen |
| 2022 | ICIS | What You Know and What You Don't Know: A Discussion of Knowledge Intensity and Support Architectures in Improving Crowdsourcing Creativity. | Pinar ztrk, Yue Han, Jie Ren |
| 2022 | ICMLA | Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity Fields. | Yue Han, Yang Lei, Viktor Shkolnikov, Daisy Xin, Steven Barcelo, Jan P. Allebach, Edward J. Delp |
| 2022 | IJCNN | Deep Relationship Graph Reinforcement Learning for Multi-Aircraft Air Combat. | Yue Han, Haiyin Piao, Yaqing Hou, Yang Sun, Zhixiao Sun, Deyun Zhou, Shengqi Yang, Xuanqi Peng, Songyuan Fan |
| 2021 | ICASSP | Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. | Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2021 | ICDE | An Autonomous Materialized View Management System with Deep Reinforcement Learning. | Yue Han, Guoliang Li, Haitao Yuan, Ji Sun |
| 2021 | ICONIP | Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data. | Wei-Xing Li, Chao-Ying Zhang, Li-Dan Kuang, Yue Han, Huan-Jie Li, Qiu-Hua Lin, Vince D. Calhoun |
| 2020 | APNOMS | VM Allocation in Data Center Subject to CPU Percentile Constraints. | Yue Han, Harry G. Perros, Mingwu Yao |
| 2020 | GLOBECOM | Improving Scalability of Delay Bound with Stochastic Network Calculus. | Yue Han, Mingwu Yao, Yang Yang, Yongjian Luo, Xuefang Liu |
| 2020 | ICDE | Automatic View Generation with Deep Learning and Reinforcement Learning. | Haitao Yuan, Guoliang Li, Ling Feng, Ji Sun, Yue Han |
| 2020 | ISCC | On Scalable Delay Bound Evaluation with Stochastic Network Calculus. | Yue Han, Mingwu Yao, Jungang Yang, Yongjian Luo, Xuefang Liu |
| 2019 | ISKE | Pedestrian Detection in Metro Station Based on Improved SSD. | Xiaowei Dong, Yue Han, Wei Li, Bo Li |
| 2018 | ICIS | Novelty and Diversity: Remixing with Human-based Search Algorithms. | Yue Han, Jeffrey V. Nickerson |
| 2017 | CSCW | Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving. | Thomas W. Malone, Jeffrey V. Nickerson, Robert Laubacher, Laur Hesse Fisher, Patrick M. De Boer, Yue Han, W. Ben Towne |
| 2017 | ICIS | The Generativity of Remixing: Understanding Knowledge Reuse Process for Innovation in Online Communities. | Yue Han, Jeffrey V. Nickerson |
| 2017 | ICIS | Exploring the Role of Learning in Crowdsourcing Creativity: The Value of Idea-Building in the Crowd. | Jie Ren, Yue Han, William Yeoh, Yegin Genc |
| 2017 | ICONIP | Multi-Agent Q( \lambda ) Learning for Optimal Operation Management of Energy Internet. | Lingxiao Yang, Qiuye Sun, Yue Han |
| 2016 | ADMA | Time Series Forecasting on Engineering Systems Using Recurrent Neural Networks. | Dongxu Shao, Tianyou Zhang, Kamal Mannar, Yue Han |
| 2015 | ICIS | Commenting to Promote Exploration of the Design Space: Digital Collaborations in Online Open Innovation Communities. | Yue Han, Jeffrey Nickerson |
| 2012 | IJCNN | A sparse kernel representation method for image classification. | Shuyuan Yang, Yue Han, Xiangrong Zhang |
| 2012 | IRI | A framework for entity resolution with efficient blocking. | Liangcai Shu, Can Lin, Weiyi Meng, Yue Han, Clement T. Yu, Neil R. Smalheiser |
| 2010 | ICDM | A Variance Reduction Framework for Stable Feature Selection. | Yue Han, Lei Yu |