Zhan, De-Chuan

90 publications

MLJ 2025 Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan

ICML 2025 Addressing Imbalanced Domain-Incremental Learning Through Dual-Balance Collaborative Experts Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

AAAI 2025 Capability Instruction Tuning Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2025 Compositional Condition Question Answering in Tabular Understanding Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye

CVPR 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan

ICCV 2025 External Knowledge Injection for CLIP-Based Class-Incremental Learning Da-Wei Zhou, Kai-Wen Li, Jingyi Ning, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan

ICML 2025 FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan

NeurIPS 2025 Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye, De-Chuan Zhan

ICML 2025 Improving LLMs for Recommendation with Out-of-Vocabulary Tokens Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2025 Let the LLM Stick to Its Strengths: Learning to Route Economical LLM Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2025 Leveraging Conditional Dependence for Efficient World Model Denoising Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan

AAAI 2025 MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye

AAAI 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye

ICLRW 2025 Model Assembly Learning with Heterogeneous Layer Weight Merging Yi-Kai Zhang, Jin Wang, Xu-Xiang Zhong, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2025 Multimodal Tabular Reasoning with Privileged Structured Information Jun-Peng Jiang, Yu Xia, Hai-Long Sun, Shiyin Lu, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2025 Parrot: Multilingual Visual Instruction Tuning 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

ICLR 2025 Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao

IJCAI 2025 Reward Models in Deep Reinforcement Learning: A Survey Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan

CVPR 2025 Task-Agnostic Guided Feature Expansion for Class-Incremental Learning Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

ICLR 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-Scale Training Data for Multimodal LLMs Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye

ICML 2024 AD3: Implicit Action Is the Key for World Models to Distinguish the Diverse Visual Distractors Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan

MLJ 2024 Aligning Model Outputs for Class Imbalanced Non-IID Federated Learning Lan Li, De-Chuan Zhan, Xin-Chun Li

NeurIPS 2024 Bridge the Modality and Capability Gaps in Vision-Language Model Selection Chao Yi, Yu-Hang He, De-Chuan Zhan, Han-Jia Ye

IJCAI 2024 Continual Learning with Pre-Trained Models: A Survey Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan

ICML 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance Through Class-Conditional Knowledge Distillation Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan

CVPR 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2024 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

CVPR 2024 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan

ICML 2024 MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation Bowen Tao, Xin-Chun Li, De-Chuan Zhan

IJCAI 2024 MOSER: Learning Sensory Policy for Task-Specific Viewpoint via View-Conditional World Model Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan

ICML 2024 Multi-Layer Rehearsal Feature Augmentation for Class-Incremental Learning Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

ICML 2024 Revisit the Essence of Distilling Knowledge Through Calibration Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan

ICML 2024 SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting Lu Han, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan

ICML 2024 SeMOPO: Learning High-Quality Model and Policy from Low-Quality Offline Visual Datasets Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan

ICML 2024 Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan

AAAI 2024 Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2024 Wings: Learning Multimodal LLMs Without Text-Only Forgetting Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICLR 2023 BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao

ICLR 2023 A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan

ICLR 2023 Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps Lu Han, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2023 Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang, De-Chuan Zhan, Le Gan

NeurIPS 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

CVPR 2023 Learning Debiased Representations via Conditional Attribute Interpolation Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye

NeurIPSW 2023 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye

NeurIPSW 2023 On Transferring Expert Knowledge from Tabular Data to Images Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan

ICML 2023 SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan

NeurIPSW 2023 Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation Han-Jia Ye, Qile Zhou, De-Chuan Zhan

NeurIPSW 2023 Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qile Zhou, Han-Jia Ye, Leye Wang, De-Chuan Zhan

NeurIPS 2022 Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li, Wen-shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan

ECCV 2022 FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

CVPR 2022 Federated Learning with Position-Aware Neurons Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

CVPR 2022 Forward Compatible Few-Shot Class-Incremental Learning Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan

NeurIPS 2022 Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems Jiaqi Yang, De-Chuan Zhan

CVPR 2022 Identifying Ambiguous Similarity Conditions via Semantic Matching Han-Jia Ye, Yi Shi, De-Chuan Zhan

TMLR 2022 On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning Lu Han, Han-Jia Ye, De-Chuan Zhan

AAAI 2022 RID-Noise: Towards Robust Inverse Design Under Noisy Environments Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan

AAAI 2021 Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong

ECML-PKDD 2021 FedPHP: Federated Personalization with Inherited Private Models Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

CVPR 2021 Learning Placeholders for Open-Set Recognition Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

ICCV 2021 Procrustean Training for Imbalanced Deep Learning Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao

IJCAI 2021 Rethinking Label-Wise Cross-Modal Retrieval from a Semantic Sharing Perspective Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang

AAAI 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors Su Lu, Han-Jia Ye, De-Chuan Zhan

AAAI 2021 Task Cooperation for Semi-Supervised Few-Shot Learning Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan

NeurIPS 2021 Towards Enabling Meta-Learning from Target Models Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan

MLJ 2020 Few-Shot Learning with Adaptively Initialized Task Optimizer: A Practical Meta-Learning Approach Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan

ICMLW 2019 A Meta Understanding of Meta-Learning Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark Campbell, Kilian Q. Weinberger

IJCAI 2019 Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu

IJCAI 2019 Comprehensive Semi-Supervised Multi-Modal Learning Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang

AAAI 2019 Deep Robust Unsupervised Multi-Modal Network Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

MLJ 2019 Fast Generalization Rates for Distance Metric Learning Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

AAAI 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang

IJCAI 2018 Distance Metric Facilitated Transportation Between Heterogeneous Domains Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He

ICML 2018 Rectify Heterogeneous Models with Semantic Mapping Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2018 Semi-Supervised Multi-Modal Learning with Incomplete Modalities Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang

AAAI 2017 Deep Learning for Fixed Model Reuse Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

ACML 2017 Instance Specific Discriminative Modal Pursuit: A Serialized Approach Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang

IJCAI 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

IJCAI 2017 Modal Consistency Based Pre-Trained Multi-Model Reuse Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang

AAAI 2016 Instance Specific Metric Subspace Learning: A Bayesian Approach Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

AAAI 2016 Learning Expected Hitting Time Distance De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou

ACML 2016 Learning Feature Aware Metric Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

IJCAI 2016 Learning by Actively Querying Strong Modal Features Yang Yang, De-Chuan Zhan, Yuan Jiang

NeurIPS 2016 What Makes Objects Similar: A Unified Multi-Metric Learning Approach Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2015 Auxiliary Information Regularized Machine for Multiple Modality Feature Learning Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

IJCAI 2013 Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou

ICML 2009 Learning Instance Specific Distances Using Metric Propagation De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou

AAAI 2007 Semi-Supervised Learning with Very Few Labeled Training Examples Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang