De-Chuan Zhan

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