Han-Jia Ye

CoRR, August, 2025

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts.

[BibT_eX]

[DOI]

CoRR, July, 2025

Learning Without Forgetting for Vision-Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting.

[BibT_eX]

[DOI]

CoRR, June, 2025

Multimodal Tabular Reasoning with Privileged Structured Information.

[BibT_eX]

[DOI]

CoRR, June, 2025

Generalized Conditional Similarity Learning via Semantic Matching.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard.

[BibT_eX]

[DOI]

Si-Yang Liu

Qile Zhou

CoRR, May, 2025

Representation Learning for Tabular Data: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, April, 2025

Efficient Evaluation of Large Language Models via Collaborative Filtering.

[BibT_eX]

[DOI]

Xu-Xiang Zhong

Chao Yi

CoRR, April, 2025

Adaptive adapter routing for long-tailed class-incremental learning.

[BibT_eX]

[DOI]

Mach. Learn., March, 2025

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., March, 2025

Model Assembly Learning with Heterogeneous Layer Weight Merging.

[BibT_eX]

[DOI]

CoRR, March, 2025

External Knowledge Injection for CLIP-Based Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting.

[BibT_eX]

[DOI]

Ting-Ji Huang

Xu-Yang Chen

CoRR, March, 2025

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, February, 2025

Understanding the Limits of Deep Tabular Methods with Temporal Shift.

[BibT_eX]

[DOI]

Hao-Run Cai

CoRR, February, 2025

A Closer Look at TabPFN v2: Strength, Limitation, and Extension.

[BibT_eX]

[DOI]

Si-Yang Liu

Wei-Lun Chao

CoRR, February, 2025

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing.

[BibT_eX]

[DOI]

Yi-Kai Zhang

CoRR, February, 2025

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems.

[BibT_eX]

[DOI]

Si-Yang Liu

CoRR, February, 2025

Revisiting multi-dimensional classification from a dimension-wise perspective.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., January, 2025

Efficient Sampling-based Gaussian Processes for few-shot semantic segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge.

[BibT_eX]

[DOI]

Medical Image Anal., 2025

PILOT: a pre-trained model-based continual learning toolbox.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Task-Agnostic Guided Feature Expansion for Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Capability Instruction Tuning.

[BibT_eX]

[DOI]

Yi-Kai Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Class-Incremental Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

TV100: a TV series dataset that pre-trained CLIP has not seen.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., October, 2024

Few-Shot Learning With a Strong Teacher.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Contextualizing Meta-Learning via Learning to Decompose.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions.

[BibT_eX]

[DOI]

CoRR, 2024

TALENT: A Tabular Analytics and Learning Toolbox.

[BibT_eX]

[DOI]

CoRR, 2024

Modern Neighborhood Components Analysis: A Deep Tabular Baseline Two Decades Later.

[BibT_eX]

[DOI]

Huai-Hong Yin

CoRR, 2024

A Closer Look at Deep Learning on Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2024

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens.

[BibT_eX]

[DOI]

CoRR, 2024

Parrot: Multilingual Visual Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Ovis: Structural Embedding Alignment for Multimodal Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

Bridge the Modality and Capacity Gaps in Vision-Language Model Selection.

[BibT_eX]

[DOI]

Chao Yi

CoRR, 2024

Graph Contrastive Learning with Cohesive Subgraph Awareness.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Wings: Learning Multimodal LLMs without Text-only Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Bridge the Modality and Capability Gaps in Vision-Language Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Continual Learning with Pre-Trained Models: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Twice Class Bias Correction for Imbalanced Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Only When It Matters: Cost-Aware Long-Tailed Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

PyCIL: a Python toolbox for class-incremental learning.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., September, 2023

Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Generalized Knowledge Distillation via Relationship Matching.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Learning Robust Precipitation Forecaster by Temporal Frame Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation.

[BibT_eX]

[DOI]

Qi-Le Zhou

CoRR, 2023

Unlocking the Transferability of Tokens in Deep Models for Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2023

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse.

[BibT_eX]

[DOI]

CoRR, 2023

Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data.

[BibT_eX]

[DOI]

CoRR, 2023

Learning without Forgetting for Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Class-Incremental Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

On Transferring Expert Knowledge from Tabular Data to Images.

[BibT_eX]

[DOI]

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Transductive Fire-Affected Area Segmentation Using False-Color Composite Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Model Spider: Learning to Rank Pre-Trained Models Efficiently.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Multi-task Method for Immunofixation Electrophoresis Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Preserving Locality in Vision Transformers for Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Improved Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Debiased Representations via Conditional Attribute Interpolation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Change Point Detection via Synthetic Signals.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap.

[BibT_eX]

[DOI]

CoRR, 2022

Faculty Distillation with Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2022

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

How to Train Your MAML to Excel in Few-Shot Classification.

[BibT_eX]

[DOI]

Wei-Lun Chao

Proceedings of the Tenth International Conference on Learning Representations, 2022

FOSTER: Feature Boosting and Compression for Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Identifying Ambiguous Similarity Conditions via Semantic Matching.

[BibT_eX]

[DOI]

Yi Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Forward Compatible Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multi-Instance Learning With Emerging Novel Class.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Heterogeneous Few-Shot Model Rectification With Semantic Mapping.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning.

[BibT_eX]

[DOI]

Hexiang Hu

Int. J. Comput. Vis., 2021

Contextualizing Multiple Tasks via Learning to Decompose.

[BibT_eX]

[DOI]

CoRR, 2021

Few-Shot Action Recognition with Compromised Metric via Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2021

Support-Target Protocol for Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2021

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Enabling Meta-Learning from Target Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Co-Transport for Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MULL'21: First International Workshop on Multimedia Understanding with Less Labeling.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Procrustean Training for Imbalanced Deep Learning.

[BibT_eX]

[DOI]

Wei-Lun Chao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Placeholders for Open-Set Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Task Cooperation for Semi-Supervised Few-Shot Learning.

[BibT_eX]

[DOI]

Xin-Chun Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Multiple Local Metrics: Global Consideration Helps.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach.

[BibT_eX]

[DOI]

Xiang-Rong Sheng

Mach. Learn., 2020

Revisiting Unsupervised Meta-Learning: Amplifying or Compensating for the Characteristics of Few-Shot Tasks.

[BibT_eX]

[DOI]

CoRR, 2020

Novelty-Prepared Few-Shot Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting Meta-Learning as Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Distilling Cross-Task Knowledge via Relationship Matching.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Fast generalization rates for distance metric learning.

[BibT_eX]

[DOI]

Yuan Jiang

Mach. Learn., 2019

Learning Classifier Synthesis for Generalized Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Learning Embedding Adaptation for Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Distance Metric Facilitated Transportation between Heterogeneous Domains.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rectify Heterogeneous Models with Semantic Mapping.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Feature Aware Metric.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Instance Specific Metric Subspace Learning: A Bayesian Approach.

[BibT_eX]

[DOI]