| 2026 | AAAI | DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis. | Yusheng Li, Xincen Duan, Beili Wang, Wei Guo, Han-Jia Ye |
| 2026 | AAAI | BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning. | Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan |
| 2026 | WWW | Generalist Model for Structured Data: Foundations, Frontiers and Applications. | Peng Cui, Xingxuan Zhang, Han-Jia Ye, Jintai Chen, Shuyang Li |
| 2025 | AAAI | MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification. | Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye |
| 2025 | AAAI | MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. | Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye |
| 2025 | AAAI | Capability Instruction Tuning. | Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye |
| 2025 | ACL | Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning. | Hai-Long Sun, Zhun Sun, Houwen Peng, Han-Jia Ye |
| 2025 | CVPR | Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. | Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan |
| 2025 | CVPR | Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. | Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2025 | ICCV | Integrating Task-Specific and Universal Adapters for Pre-Trained Model-Based Class-Incremental Learning. | Yan Wang, Da-Wei Zhou, Han-Jia Ye |
| 2025 | ICCV | External Knowledge Injection for CLIP-Based Class-Incremental Learning. | Da-Wei Zhou, Kai-Wen Li, Jingyi Ning, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan |
| 2025 | ICLR | Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later. | Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao |
| 2025 | ICLR | ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs. | Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye |
| 2025 | ICML | Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. | Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2025 | ICML | TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems. | Siyang Liu, Han-Jia Ye |
| 2025 | ICML | Understanding the Limits of Deep Tabular Methods with Temporal Shift. | Haorun Cai, Han-Jia Ye |
| 2025 | ICML | Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens. | Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye |
| 2025 | ICML | Compositional Condition Question Answering in Tabular Understanding. | Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye |
| 2025 | ICML | Parrot: Multilingual Visual Instruction Tuning. | Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye |
| 2025 | IJCAI | A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models. | Da-Wei Zhou, Han-Jia Ye |
| 2024 | AAAI | Learning Only When It Matters: Cost-Aware Long-Tailed Classification. | Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou |
| 2024 | AAAI | Twice Class Bias Correction for Imbalanced Semi-supervised Learning. | Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye |
| 2024 | CVPR | Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. | Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan |
| 2024 | CVPR | Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification. | Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye |
| 2024 | ICML | SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting. | Lu Han, Han-Jia Ye, De-Chuan Zhan |
| 2024 | ICML | Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images. | Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan |
| 2024 | ICML | Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation. | Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan |
| 2024 | ICML | Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning. | Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2024 | IJCAI | Continual Learning with Pre-Trained Models: A Survey. | Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan |
| 2024 | WWW | Graph Contrastive Learning with Cohesive Subgraph Awareness. | Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye |
| 2023 | CVPR | Learning Debiased Representations via Conditional Attribute Interpolation. | Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye |
| 2023 | ICLR | A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. | Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan |
| 2023 | ICLR | Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps. | Lu Han, Han-Jia Ye, De-Chuan Zhan |
| 2023 | ICLR | BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. | Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao |
| 2023 | MICCAI | A Multi-task Method for Immunofixation Electrophoresis Image Classification. | Yi Shi, Rui-Xiang Li, Wen-Qi Shao, Xincen Duan, Han-Jia Ye, De-Chuan Zhan, Bai-Shen Pan, Beili Wang, Wei Guo, Yuan Jiang |
| 2022 | CVPR | Forward Compatible Few-Shot Class-Incremental Learning. | Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan |
| 2022 | CVPR | Identifying Ambiguous Similarity Conditions via Semantic Matching. | Han-Jia Ye, Yi Shi, De-Chuan Zhan |
| 2022 | ECCV | FOSTER: Feature Boosting and Compression for Class-Incremental Learning. | Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2022 | ICLR | How to Train Your MAML to Excel in Few-Shot Classification. | Han-Jia Ye, Wei-Lun Chao |
| 2022 | Interspeech | Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. | Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2021 | AAAI | DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. | Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | AAAI | Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. | Su Lu, Han-Jia Ye, De-Chuan Zhan |
| 2021 | AAAI | Task Cooperation for Semi-Supervised Few-Shot Learning. | Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan |
| 2021 | CVPR | Learning Placeholders for Open-Set Recognition. | Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2021 | ICCV | Procrustean Training for Imbalanced Deep Learning. | Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao |
| 2020 | CVPR | Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. | Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha |
| 2020 | CVPR | Distilling Cross-Task Knowledge via Relationship Matching. | Han-Jia Ye, Su Lu, De-Chuan Zhan |
| 2018 | ICML | Rectify Heterogeneous Models with Semantic Mapping. | Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | IJCAI | Distance Metric Facilitated Transportation between Heterogeneous Domains. | Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He |
| 2017 | IJCAI | Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. | Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang |
| 2016 | AAAI | Instance Specific Metric Subspace Learning: A Bayesian Approach. | Han-Jia Ye, De-Chuan Zhan, Yuan Jiang |
| 2016 | ACML | Learning Feature Aware Metric. | Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang |
| 2016 | ICDM | College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. | Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang |
| 2015 | CIKM | Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. | Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou |
| 2015 | IJCAI | Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. | Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang |