| 2026 | AAAI | Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting. | Pengfei Jia, Jianghong Ma, Baoquan Zhang, Kenghong Lin, Xinyu Zhang, Chuyao Luo, Xutao Li, Yunming Ye |
| 2026 | AAAI | Improved Masked Image Generation with Knowledge-Augmented Token Representations. | Guotao Liang, Baoquan Zhang, Zhiyuan Wen, Zihao Han, Yunming Ye |
| 2025 | AAAI | AsyncDSB: Schedule-Asynchronous Diffusion Schrdinger Bridge for Image Inpainting. | Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye |
| 2025 | AAAI | Integrating Multi-Source Data for Long Sequence Precipitation Forecasting. | Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Wenchuan Du |
| 2025 | CVPR | Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation. | Tianran Chen, Jiarui Chen, Baoquan Zhang, Zhehao Yu, Shidong Chen, Rui Ye, Xutao Li, Yunming Ye |
| 2025 | CVPR | Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text. | Guotao Liang, Baoquan Zhang, Zhiyuan Wen, Junteng Zhao, Yunming Ye, Kola Ye, Yao He |
| 2025 | CVPR | AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting. | Kenghong Lin, Baoquan Zhang, Demin Yu, Wenzhi Feng, Shidong Chen, Feifan Gao, Xutao Li, Yunming Ye |
| 2025 | ICML | Perceptually Constrained Precipitation Nowcasting Model. | Wenzhi Feng, Xutao Li, Zhe Wu, Kenghong Lin, Demin Yu, Yunming Ye, Yaowei Wang |
| 2024 | AAAI | iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction. | Xu Huang, Chuyao Luo, Bowen Zhang, Huiwei Lin, Xutao Li, Yunming Ye |
| 2024 | AAAI | MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning. | Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin, Yunming Ye, Bowen Zhang |
| 2024 | CVPR | DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting. | Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen |
| 2024 | CVPR | Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling. | Baoquan Zhang, Huaibin Wang, Chuyao Luo, Xutao Li, Guotao Liang, Yunming Ye, Xiaochen Qi, Yao He |
| 2024 | KDD | FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. | Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong |
| 2023 | CIKM | RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction. | Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei, Yunming Ye |
| 2023 | CVPR | PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning. | Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye |
| 2022 | AAAI | MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. | Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye |
| 2022 | IJCAI | Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. | Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye |
| 2021 | CVPR | Prototype Completion With Primitive Knowledge for Few-Shot Learning. | Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang |
| 2020 | ACL | Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge. | Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu, Kuai Dai |
| 2020 | APWEB | Aligning Users Across Social Networks via Intra and Inter Attentions. | Zhichao Huang, Xutao Li, Yunming Ye |
| 2020 | IJCAI | MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. | Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng |
| 2020 | WWW | Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. | Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He |
| 2020 | WSDM | End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. | Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He |
| 2019 | IJCNN | Road Detection via Deep Residual Dense U-Net. | Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang |
| 2019 | PAKDD | A Novel KNN Approach for Session-Based Recommendation. | Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang |
| 2018 | DASFAA | Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. | Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He |
| 2017 | AAAI | Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting. | Xutao Li, Yunming Ye, Xiaofei Xu |
| 2017 | DASFAA | A Graph-Based Push Service Platform. | Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He |
| 2017 | ICMLC | Representation learning with complete semantic description of knowledge graphs. | Wenrui Chen, Chuyao Luo, Shaokai Wang, Yunming Ye |
| 2017 | ICONIP | Multi-roles Graph Based Extractive Summarization. | Zhibin Chen, Yunming Ye, Xiaofei Xu, Feng Li |
| 2017 | IJCAI | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. | Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He |
| 2017 | IJCNN | A generative model with hypergraph regularizers for protein function prediction. | Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du |
| 2017 | PAKDD | Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs. | Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, Huajie Chen |
| 2017 | WWW | Holistic Neural Network for CTR Prediction. | Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He |
| 2016 | ICMLC | A novel density peak based semi-supervised clustering algorithm. | Weifeng Li, Xutao Li, Yunming Ye, Yan Li, Eric Ke Wang |
| 2015 | ICDM | Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection. | Qiaoying Huang, Xiaofeng Zhang, Kui Jia, Xishuang Han, Yunming Ye |
| 2015 | INDIN | Content-based movie recommending using a Triple Wing Harmonium model. | Haijun Zhang, Jingxuan Li, Yuzhu Ji, Yunming Ye |
| 2014 | ACIIDS | Clustering Based Topic Events Detection on Text Stream. | Chunshan Li, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Shengchun Deng, Xiaofei Xu |
| 2014 | IJCNN | A new ensemble method for multi-label data stream classification in non-stationary environment. | Ge Song, Yunming Ye |
| 2014 | SDM | A Generative Model with Network Regularization for Semi-Supervised Collective Classification. | Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho |
| 2012 | ADMA | The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure. | Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang |
| 2012 | PAKDD | Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. | Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye |
| 2012 | SDM | HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search. | Xutao Li, Michael K. Ng, Yunming Ye |
| 2011 | KDD | MultiRank: co-ranking for objects and relations in multi-relational data. | Michael Kwok-Po Ng, Xutao Li, Yunming Ye |
| 2010 | ADMA | A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. | Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu |
| 2010 | PRICAI | Exploiting Word Cluster Information for Unsupervised Feature Selection. | Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang |
| 2007 | PAKDD | A Survey of Open Source Data Mining Systems. | Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu |
| 2007 | PAKDD | PAKDD 2007 Industrial Track Workshop. | Joshua Zhexue Huang, Yunming Ye |
| 2006 | CICLING | Untitled record | Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen |
| 2006 | PAKDD | Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. | Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu |
| 2005 | APWEB | IglooG: A Distributed Web Crawler Based on Grid Service. | Fei Liu, Fanyuan Ma, Yunming Ye, Minglu Li, Jiadi Yu |
| 2004 | APWEB | iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples. | Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang |
| 2004 | NLDB | Enhanced Email Classification Based on Feature Space Enriching. | Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang |
| 2004 | PDCAT | Distributed High-Performance Web Crawler Based on Peer-to-Peer Network. | Fei Liu, Fanyuan Ma, Yunming Ye, Minglu Li, Jiadi Yu |