← Authors

De-Chuan Zhan

78 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (46) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (237) ⚑ Prolific Year (7) πŸ’Ž Century Club (76) πŸ”₯ Unstoppable (11)

Conferences

ICML (15) IJCAI (13) NIPS (12) AAAI (11) CVPR (11) ICLR (5) ACML (2) ICCV (2) INTERSPEECH (2) ACL (1) EACL (1) ECCV (1) EMNLP (1) MICCAI (1)

Top co-authors

Han-Jia Ye (47) Da-Wei Zhou (17) Yuan Jiang (13) Le Gan (11) Xin-Chun Li (10) Yang Yang (9) Shenghua Wan (7) Yi-Kai Zhang (7) Su Lu (6) Lan Li (5)

Keywords

knowledge distillation (8) transfer learning (8) representation learning (7) few-shot learning (7) catastrophic forgetting (6) class-incremental learning (6) metric learning (5) multi-modal learning (5) pre-trained model (4) embedding learning (4) semi-supervised learning (4) model compression (4) vision-language model (4) class incremental learning (3) zero-shot learning (3) federated learning (3) continual learning (3) model selection (3) adversarial learning (2) attention mechanism (2)

Papers

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