De-Chuan Zhan

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026 Logits-Based Block Pruning with Affine Transformations for Large Language Models EACL 2026 Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts ICML 2025 Capability Instruction Tuning AAAI 2025 Compositional Condition Question Answering in Tabular Understanding ICML 2025 DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning CVPR 2025 External Knowledge Injection for CLIP-Based Class-Incremental Learning ICCV 2025 FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making ICML 2025 Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens ICML 2025 Maximizing the Effectiveness of Larger BERT Models for Compression ACL 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 Parrot: Multilingual Visual Instruction Tuning ICML 2025 Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later ICLR 2025 Reward Models in Deep Reinforcement Learning: A Survey IJCAI 2025 Task-Agnostic Guided Feature Expansion for Class-Incremental Learning CVPR 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs ICLR 2025 AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors ICML 2024 Bridge the Modality and Capability Gaps in Vision-Language Model Selection NeurIPS 2024 Continual Learning with Pre-Trained Models: A Survey IJCAI 2024 CS3: Cascade SAM for Sperm Segmentation MICCAI 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation ICML 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks NeurIPS 2024 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification CVPR 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024 MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation ICML 2024 MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model IJCAI 2024 Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning ICML 2024 Revisit the Essence of Distilling Knowledge through Calibration ICML 2024 SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets ICML 2024 SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting ICML 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NeurIPS 2024 Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images ICML 2024 Twice Class Bias Correction for Imbalanced Semi-supervised Learning AAAI 2024 Wings: Learning Multimodal LLMs without Text-only Forgetting NeurIPS 2024 A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning ICLR 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 Beyond probability partitions: Calibrating neural networks with semantic aware grouping NeurIPS 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NeurIPS 2023 Learning Debiased Representations via Conditional Attribute Interpolation CVPR 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NeurIPS 2023 SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models ICML 2023 Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again NeurIPS 2022 Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation Interspeech 2022 Avoid Overfitting User Specific Information in Federated Keyword Spotting Interspeech 2022 Federated Learning With Position-Aware Neurons CVPR 2022 Forward Compatible Few-Shot Class-Incremental Learning CVPR 2022 FOSTER: Feature Boosting and Compression for Class-Incremental Learning ECCV 2022 Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems NeurIPS 2022 Identifying Ambiguous Similarity Conditions via Semantic Matching CVPR 2022 RID-Noise: Towards Robust Inverse Design under Noisy Environments AAAI 2022 Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling AAAI 2021 Learning Placeholders for Open-Set Recognition CVPR 2021 Procrustean Training for Imbalanced Deep Learning ICCV 2021 Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective IJCAI 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021 Towards Enabling Meta-Learning from Target Models NeurIPS 2021 Distilling Cross-Task Knowledge via Relationship Matching CVPR 2020 Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards IJCAI 2019 Comprehensive Semi-Supervised Multi-Modal Learning IJCAI 2019 Deep Robust Unsupervised Multi-Modal Network AAAI 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019 Distance Metric Facilitated Transportation between Heterogeneous Domains IJCAI 2018 Rectify Heterogeneous Models with Semantic Mapping ICML 2018 Semi-Supervised Multi-Modal Learning with Incomplete Modalities IJCAI 2018 Instance Specific Discriminative Modal Pursuit: A Serialized Approach ACML 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017 Modal Consistency based Pre-Trained Multi-Model Reuse IJCAI 2017 Learning by Actively Querying Strong Modal Features IJCAI 2016 Learning Feature Aware Metric ACML 2016 What Makes Objects Similar: A Unified Multi-Metric Learning Approach NeurIPS 2016 Auxiliary Information Regularized Machine for Multiple Modality Feature Learning IJCAI 2015 Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA IJCAI 2013