← Authors

Han-Jia Ye

58 papers · 2015–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ† Keyword Champion (6) πŸ† Grand Slam 🀝 Dynamic Duo (46) πŸ’Ž Century Club (56) πŸ—ƒοΈ Keyword Collector (165) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (12)

Conferences

ICML (11) AAAI (10) CVPR (10) NIPS (8) ICLR (6) IJCAI (5) ICCV (3) ACL (1) ACML (1) ECCV (1) INTERSPEECH (1) JMLR (1)

Top co-authors

De-Chuan Zhan (47) Da-Wei Zhou (19) Yi-Kai Zhang (7) Yuan Jiang (6) Lu Han (5) Hai-Long Sun (5) Lan Li (4) Jun-Peng Jiang (3) Qi-Wei Wang (3) Xue-Min Si (3)

Keywords

transfer learning (7) few-shot learning (7) class-incremental learning (7) metric learning (6) representation learning (6) pre-trained model (6) catastrophic forgetting (6) embedding learning (5) knowledge distillation (5) vision-language model (4) continual learning (4) domain adaptation (3) model selection (3) class incremental learning (3) class imbalance (3) zero-shot learning (3) contrastive learning (2) feature space (2) semi-supervised learning (2) model merging (2)

Papers

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