Han-Jia Ye

DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis AAAI 2026 BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026 Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning ICCV 2025 Task-Agnostic Guided Feature Expansion for Class-Incremental Learning CVPR 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning CVPR 2025 Parrot: Multilingual Visual Instruction Tuning ICML 2025 TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems ICML 2025 Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts ICML 2025 Compositional Condition Question Answering in Tabular Understanding ICML 2025 Talent: A Tabular Analytics and Learning Toolbox JMLR 2025 A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models IJCAI 2025 MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification AAAI 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Capability Instruction Tuning AAAI 2025 Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning ACL 2025 Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens ICML 2025 Understanding the Limits of Deep Tabular Methods with Temporal Shift ICML 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs ICLR 2025 Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later ICLR 2025 External Knowledge Injection for CLIP-Based Class-Incremental Learning ICCV 2025 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NIPS 2024 Wings: Learning Multimodal LLMs without Text-only Forgetting NIPS 2024 Bridge the Modality and Capability Gaps in Vision-Language Model Selection NIPS 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Twice Class Bias Correction for Imbalanced Semi-supervised Learning AAAI 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification CVPR 2024 SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting ICML 2024 Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images ICML 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation ICML 2024 Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning ICML 2024 Continual Learning with Pre-Trained Models: A Survey IJCAI 2024 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NIPS 2023 Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps ICLR 2023 BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion ICLR 2023 A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning ICLR 2023 Learning Debiased Representations via Conditional Attribute Interpolation CVPR 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NIPS 2023 How to Train Your MAML to Excel in Few-Shot Classification ICLR 2022 Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation INTERSPEECH 2022 FOSTER: Feature Boosting and Compression for Class-Incremental Learning ECCV 2022 Identifying Ambiguous Similarity Conditions via Semantic Matching CVPR 2022 Forward Compatible Few-Shot Class-Incremental Learning CVPR 2022 A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval NIPS 2021 Towards Enabling Meta-Learning from Target Models NIPS 2021 Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 Procrustean Training for Imbalanced Deep Learning ICCV 2021 Learning Placeholders for Open-Set Recognition CVPR 2021 Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Distilling Cross-Task Knowledge via Relationship Matching CVPR 2020 Rectify Heterogeneous Models with Semantic Mapping ICML 2018 Distance Metric Facilitated Transportation between Heterogeneous Domains IJCAI 2018 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017 What Makes Objects Similar: A Unified Multi-Metric Learning Approach NIPS 2016 Learning Feature Aware Metric ACML 2016 Auxiliary Information Regularized Machine for Multiple Modality Feature Learning IJCAI 2015