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De-Chuan Zhan
43 papers at tracked venues · 35 at CORE A* · active 2024–2026
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Venues
ICML
×13
NeurIPS
×9
AAAI
×5
CVPR
×4
IJCAI
×3
ICLR
×2
ACL
×1
EACL
×1
ECAI
×1
EMNLP
×1
ICCV
×1
MICCAI
×1
UAI
×1
Frequent coauthors
Han-Jia Ye
×27
Da-Wei Zhou
×10
Le Gan
×10
Shenghua Wan
×7
Xin-Chun Li
×6
Shiyin Lu
×5
Qingguo Chen
×5
Hai-Long Sun
×5
Lan Li
×4
Yi-Kai Zhang
×4
Jun-Peng Jiang
×4
Weihua Luo
×4
Papers
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
BibTeX ⧉
AAAI 2026
·
Lan Li
,
Tao Hu
,
Da-Wei Zhou
,
Jia-Qi Yang
,
Han-Jia Ye
,
De-Chuan Zhan
Logits-Based Block Pruning with Affine Transformations for Large Language Models
BibTeX ⧉
EACL 2026
·
Zekun Hu
,
Yichu Xu
,
De-Chuan Zhan
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
BibTeX ⧉
ICML 2025
·
Lan Li
,
Da-Wei Zhou
,
Han-Jia Ye
,
De-Chuan Zhan
Capability Instruction Tuning
BibTeX ⧉
AAAI 2025
·
Yi-Kai Zhang
,
De-Chuan Zhan
,
Han-Jia Ye
Compositional Condition Question Answering in Tabular Understanding
BibTeX ⧉
ICML 2025
·
Jun-Peng Jiang
,
Tao Zhou
,
De-Chuan Zhan
,
Han-Jia Ye
DART: Distilling Autoregressive Reasoning to Silent Thought
BibTeX ⧉
EMNLP 2025
·
Nan Jiang
,
Ziming Wu
,
De-Chuan Zhan
,
Fuming Lai
,
Shaobing Lian
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
BibTeX ⧉
CVPR 2025
·
Da-Wei Zhou
,
Zi-Wen Cai
,
Han-Jia Ye
,
Lijun Zhang
,
De-Chuan Zhan
External Knowledge Injection for CLIP-Based Class-Incremental Learning
BibTeX ⧉
ICCV 2025
·
Da-Wei Zhou
,
Kai-Wen Li
,
Jingyi Ning
,
Han-Jia Ye
,
Lijun Zhang
,
De-Chuan Zhan
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
BibTeX ⧉
ICML 2025
·
Yucen Wang
,
Rui Yu
,
Shenghua Wan
,
Le Gan
,
De-Chuan Zhan
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
BibTeX ⧉
NeurIPS 2025
·
Zhi-Kai Chen
,
Jun-Peng Jiang
,
Han-Jia Ye
,
De-Chuan Zhan
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
BibTeX ⧉
ICML 2025
·
Ting-Ji Huang
,
Jia-Qi Yang
,
Chunxu Shen
,
Kai-Qi Liu
,
De-Chuan Zhan
,
Han-Jia Ye
Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
BibTeX ⧉
NeurIPS 2025
·
Yi-Kai Zhang
,
Shiyin Lu
,
Qingguo Chen
,
Weihua Luo
,
De-Chuan Zhan
,
Han-Jia Ye
Leveraging Conditional Dependence for Efficient World Model Denoising
BibTeX ⧉
NeurIPS 2025
·
Shaowei Zhang
,
Jiahan Cao
,
Dian Cheng
,
Xunlan Zhou
,
Shenghua Wan
,
Le Gan
,
De-Chuan Zhan
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
BibTeX ⧉
AAAI 2025
·
Xu-Yang Chen
,
Lu Han
,
De-Chuan Zhan
,
Han-Jia Ye
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
BibTeX ⧉
AAAI 2025
·
Hai-Long Sun
,
Da-Wei Zhou
,
Hanbin Zhao
,
Le Gan
,
De-Chuan Zhan
,
Han-Jia Ye
Maximizing the Effectiveness of Larger BERT Models for Compression
BibTeX ⧉
ACL 2025
·
Wen-Shu Fan
,
Su Lu
,
Shangyu Xing
,
Xin-Chun Li
,
De-Chuan Zhan
Multimodal Tabular Reasoning with Privileged Structured Information
BibTeX ⧉
NeurIPS 2025
·
Jun-Peng Jiang
,
Yu Xia
,
Hai-Long Sun
,
Shiyin Lu
,
Qingguo Chen
,
Weihua Luo
,
Kaifu Zhang
,
De-Chuan Zhan
,
Han-Jia Ye
Parrot: Multilingual Visual Instruction Tuning
BibTeX ⧉
ICML 2025
·
Hai-Long Sun
,
Da-Wei Zhou
,
Yang Li
,
Shiyin Lu
,
Chao Yi
,
Qing-Guo Chen
,
Zhao Xu
,
Weihua Luo
,
Kaifu Zhang
,
De-Chuan Zhan
,
Han-Jia Ye
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
BibTeX ⧉
ICLR 2025
·
Han-Jia Ye
,
Huai-Hong Yin
,
De-Chuan Zhan
,
Wei-Lun Chao
Reward Models in Deep Reinforcement Learning: A Survey
BibTeX ⧉
IJCAI 2025
·
Rui Yu
,
Shenghua Wan
,
Yucen Wang
,
Chen-Xiao Gao
,
Le Gan
,
Zongzhang Zhang
,
De-Chuan Zhan
Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
BibTeX ⧉
CVPR 2025
·
Bowen Zheng
,
Da-Wei Zhou
,
Han-Jia Ye
,
De-Chuan Zhan
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
BibTeX ⧉
ICLR 2025
·
Yi-Kai Zhang
,
Shiyin Lu
,
Qing-Guo Chen
,
De-Chuan Zhan
,
Han-Jia Ye
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
BibTeX ⧉
ICML 2024
·
Yucen Wang
,
Shenghua Wan
,
Le Gan
,
Shuai Feng
,
De-Chuan Zhan
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
BibTeX ⧉
NeurIPS 2024
·
Chao Yi
,
Yuhang He
,
De-Chuan Zhan
,
Han-Jia Ye
CS3: Cascade SAM for Sperm Segmentation
BibTeX ⧉
MICCAI 2024
·
Yi Shi
,
Xu-Peng Tian
,
Yun-Kai Wang
,
Tie-Yi Zhang
,
Bing Yao
,
Hui Wang
,
Yong Shao
,
Cen-Cen Wang
,
Rong Zeng
,
De-Chuan Zhan
Continual Learning with Pre-Trained Models: A Survey
BibTeX ⧉
IJCAI 2024
·
Da-Wei Zhou
,
Hai-Long Sun
,
Jingyi Ning
,
Han-Jia Ye
,
De-Chuan Zhan
Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
BibTeX ⧉
ICML 2024
·
Lan Li
,
Xin-Chun Li
,
Han-Jia Ye
,
De-Chuan Zhan
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
BibTeX ⧉
CVPR 2024
·
Da-Wei Zhou
,
Hai-Long Sun
,
Han-Jia Ye
,
De-Chuan Zhan
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
BibTeX ⧉
NeurIPS 2024
·
Xin-Chun Li
,
Jin-Lin Tang
,
Bo Zhang
,
Lan Li
,
De-Chuan Zhan
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
BibTeX ⧉
CVPR 2024
·
Chao Yi
,
Lu Ren
,
De-Chuan Zhan
,
Han-Jia Ye
Leveraging Separated World Model for Exploration in Visually Distracted Environments
BibTeX ⧉
NeurIPS 2024
·
Kaichen Huang
,
Shenghua Wan
,
Minghao Shao
,
Hai-Hang Sun
,
Le Gan
,
Shuai Feng
,
De-Chuan Zhan
MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation
BibTeX ⧉
ICML 2024
·
Bowen Tao
,
Xin-Chun Li
,
De-Chuan Zhan
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
BibTeX ⧉
IJCAI 2024
·
Shenghua Wan
,
Hai-Hang Sun
,
Le Gan
,
De-Chuan Zhan
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
BibTeX ⧉
ICML 2024
·
Bowen Zheng
,
Da-Wei Zhou
,
Han-Jia Ye
,
De-Chuan Zhan
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
BibTeX ⧉
UAI 2024
·
Songli Wu
,
Liang Du
,
Jiaqi Yang
,
Yuai Wang
,
De-Chuan Zhan
,
Shuang Zhao
,
Zixun Sun
Revisit the Essence of Distilling Knowledge through Calibration
BibTeX ⧉
ICML 2024
·
Wen-Shu Fan
,
Su Lu
,
Xin-Chun Li
,
De-Chuan Zhan
,
Le Gan
SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
BibTeX ⧉
ICML 2024
·
Lu Han
,
Han-Jia Ye
,
De-Chuan Zhan
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
BibTeX ⧉
NeurIPS 2024
·
Han Lu
,
Xu-Yang Chen
,
Han-Jia Ye
,
De-Chuan Zhan
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
BibTeX ⧉
ICML 2024
·
Shenghua Wan
,
Ziyuan Chen
,
Le Gan
,
Shuai Feng
,
De-Chuan Zhan
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
BibTeX ⧉
ICML 2024
·
Jun-Peng Jiang
,
Han-Jia Ye
,
Leye Wang
,
Yang Yang
,
Yuan Jiang
,
De-Chuan Zhan
Twice Class Bias Correction for Imbalanced Semi-supervised Learning
BibTeX ⧉
AAAI 2024
·
Lan Li
,
Bowen Tao
,
Lu Han
,
De-Chuan Zhan
,
Han-Jia Ye
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
BibTeX ⧉
ECAI 2024
·
Yichu Xu
,
Xin-Chun Li
,
Le Gan
,
De-Chuan Zhan
Wings: Learning Multimodal LLMs without Text-only Forgetting
BibTeX ⧉
NeurIPS 2024
·
Yi-Kai Zhang
,
Shiyin Lu
,
Yang Li
,
Yanqing Ma
,
Qingguo Chen
,
Zhao Xu
,
Weihua Luo
,
Kaifu Zhang
,
De-Chuan Zhan
,
Han-Jia Ye