Ye, Han-Jia

68 publications

NeurIPS 2025 A Closer Look at TabPFN V2: Understanding Its Strengths and Extending Its Capabilities Han-Jia Ye, Si-Yang Liu, Wei-Lun Chao

IJCAI 2025 A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models Da-Wei Zhou, Han-Jia Ye

MLJ 2025 Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan

ICML 2025 Addressing Imbalanced Domain-Incremental Learning Through Dual-Balance Collaborative Experts Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

AAAI 2025 Capability Instruction Tuning Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2025 Compositional Condition Question Answering in Tabular Understanding Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye

CVPR 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan

ICCV 2025 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

NeurIPS 2025 Feature-Aware Modulation for Learning from Temporal Tabular Data Haorun Cai, Han-Jia Ye

NeurIPS 2025 Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye, De-Chuan Zhan

ICML 2025 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

ICCV 2025 Integrating Task-Specific and Universal Adapters for Pre-Trained Model-Based Class-Incremental Learning Yan Wang, Da-Wei Zhou, Han-Jia Ye

NeurIPS 2025 Let the LLM Stick to Its Strengths: Learning to Route Economical LLM Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye

AAAI 2025 MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye

AAAI 2025 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

ICLRW 2025 Model Assembly Learning with Heterogeneous Layer Weight Merging Yi-Kai Zhang, Jin Wang, Xu-Xiang Zhong, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2025 Multimodal Tabular Reasoning with Privileged Structured Information Jun-Peng Jiang, Yu Xia, Hai-Long Sun, Shiyin Lu, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2025 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

ICLR 2025 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

ICML 2025 TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Siyang Liu, Han-Jia Ye

MLOSS 2025 Talent: A Tabular Analytics and Learning Toolbox Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, Huai-Hong Yin, Tao Zhou, Jun-Peng Jiang, Han-Jia Ye

CVPR 2025 Task-Agnostic Guided Feature Expansion for Class-Incremental Learning Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

ICML 2025 Understanding the Limits of Deep Tabular Methods with Temporal Shift Haorun Cai, Han-Jia Ye

ICLR 2025 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

NeurIPS 2024 Bridge the Modality and Capability Gaps in Vision-Language Model Selection Chao Yi, Yu-Hang He, De-Chuan Zhan, Han-Jia Ye

IJCAI 2024 Continual Learning with Pre-Trained Models: A Survey Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan

ICML 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance Through Class-Conditional Knowledge Distillation Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan

CVPR 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan

AAAI 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou

CVPR 2024 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye

ICML 2024 Multi-Layer Rehearsal Feature Augmentation for Class-Incremental Learning Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

ICML 2024 SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting Lu Han, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan

ICML 2024 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

AAAI 2024 Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2024 Wings: Learning Multimodal LLMs Without Text-Only Forgetting Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICLR 2023 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

ICLR 2023 A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan

ICLR 2023 Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps Lu Han, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

CVPR 2023 Learning Debiased Representations via Conditional Attribute Interpolation Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye

NeurIPSW 2023 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye

NeurIPSW 2023 On Transferring Expert Knowledge from Tabular Data to Images Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan

NeurIPSW 2023 Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation Han-Jia Ye, Qile Zhou, De-Chuan Zhan

NeurIPSW 2023 Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qile Zhou, Han-Jia Ye, Leye Wang, De-Chuan Zhan

ECCV 2022 FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

CVPR 2022 Forward Compatible Few-Shot Class-Incremental Learning Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan

ICLR 2022 How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye, Wei-Lun Chao

CVPR 2022 Identifying Ambiguous Similarity Conditions via Semantic Matching Han-Jia Ye, Yi Shi, De-Chuan Zhan

TMLR 2022 On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning Lu Han, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2021 A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval Xiu-Shen Wei, Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang

AAAI 2021 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

CVPR 2021 Learning Placeholders for Open-Set Recognition Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

ICCV 2021 Procrustean Training for Imbalanced Deep Learning Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao

AAAI 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors Su Lu, Han-Jia Ye, De-Chuan Zhan

AAAI 2021 Task Cooperation for Semi-Supervised Few-Shot Learning Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan

NeurIPS 2021 Towards Enabling Meta-Learning from Target Models Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan

MLJ 2020 Few-Shot Learning with Adaptively Initialized Task Optimizer: A Practical Meta-Learning Approach Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan

ICMLW 2019 A Meta Understanding of Meta-Learning Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark Campbell, Kilian Q. Weinberger

MLJ 2019 Fast Generalization Rates for Distance Metric Learning Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

IJCAI 2018 Distance Metric Facilitated Transportation Between Heterogeneous Domains Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He

ICML 2018 Rectify Heterogeneous Models with Semantic Mapping Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

AAAI 2016 Instance Specific Metric Subspace Learning: A Bayesian Approach Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

ACML 2016 Learning Feature Aware Metric Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

NeurIPS 2016 What Makes Objects Similar: A Unified Multi-Metric Learning Approach Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2015 Auxiliary Information Regularized Machine for Multiple Modality Feature Learning Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang