De-Chuan Zhan

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 167

Top Venues

CoRR

AAAI

IJCAI

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR (2024)
Yang Yang, Nan Jiang, Yi Xu, De-Chuan Zhan
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data. CoRR (2024)
Lan Li, De-Chuan Zhan, Xin-Chun Li
Aligning model outputs for class imbalanced non-IID federated learning. Mach. Learn. 113 (4) (2024)
Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Wings: Learning Multimodal LLMs without Text-only Forgetting. CoRR (2024)
Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors. CoRR (2024)
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. ICASSP (2024)
Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification. CoRR (2024)
Kaichen Huang, Minghao Shao, Shenghua Wan, Hai-Hang Sun, Shuai Feng, Le Gan, De-Chuan Zhan
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring. CoRR (2024)
Xin-Chun Li, Wen-Shu Fan, Bowen Tao, Le Gan, De-Chuan Zhan
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch. CoRR (2024)
Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
TV100: a TV series dataset that pre-trained CLIP has not seen. Frontiers Comput. Sci. 18 (5) (2024)
Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen. CoRR (2024)
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
Parrot: Multilingual Visual Instruction Tuning. CoRR (2024)
Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. CoRR (2024)
Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan
Modern Neighborhood Components Analysis: A Deep Tabular Baseline Two Decades Later. CoRR (2024)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Xin-Chun Li, Lan Li, De-Chuan Zhan
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks. CoRR (2024)
Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens. CoRR (2024)
Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets. CoRR (2024)
Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
Continual Learning with Pre-Trained Models: A Survey. CoRR (2024)
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
Few-Shot Learning With a Strong Teacher. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Han-Jia Ye, Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, De-Chuan Zhan
A Closer Look at Deep Learning on Tabular Data. CoRR (2024)
Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion. CoRR (2024)
Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye
Twice Class Bias Correction for Imbalanced Semi-supervised Learning. AAAI (2024)
Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CoRR (2024)
Yi Shi, Xu-Peng Tian, Yun-Kai Wang, Tie-Yi Zhang, Bin Yao, Hui Wang, Yong Shao, Cen-Cen Wang, Rong Zeng, De-Chuan Zhan
CS3: Cascade SAM for Sperm Segmentation. CoRR (2024)
Chao Yi, De-Chuan Zhan, Han-Jia Ye
Bridge the Modality and Capacity Gaps in Vision-Language Model Selection. CoRR (2024)
Kaichen Huang, Hai-Hang Sun, Shenghua Wan, Minghao Shao, Shuai Feng, Le Gan, De-Chuan Zhan
DIDA: Denoised Imitation Learning based on Domain Adaptation. CoRR (2024)
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR (2023)
Lu Han, Han-Jia Ye, De-Chuan Zhan
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. CoRR (2023)
Xin-Chun Li, Yang Yang, De-Chuan Zhan
MrTF: Model Refinery for Transductive Federated Learning. CoRR (2023)
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR (2023)
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. NeurIPS (2023)
Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. KDD (2023)
Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data. CoRR (2023)
Yang Yang, Jia-qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yang Yang, Ran Bao, Weili Guo, De-Chuan Zhan, Yilong Yin, Jian Yang
Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection. Sci. China Inf. Sci. 66 (12) (2023)
Yi-Kai Zhang, Lu Ren, Chao Yi, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse. CoRR (2023)
Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. ICML (2023)
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
Self-Motivated Multi-Agent Exploration. CoRR (2023)
Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox. CoRR (2023)
Qi-Le Zhou, Han-Jia Ye, Le-Ye Wang, De-Chuan Zhan
Unlocking the Transferability of Tokens in Deep Models for Tabular Data. CoRR (2023)
Jia-Qi Yang, Chenglei Dai, Dan Ou, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang
COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features. CoRR (2023)
Jia-Qi Yang, De-Chuan Zhan, Le Gan
Beyond probability partitions: Calibrating neural networks with semantic aware grouping. NeurIPS (2023)
Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan
On Transferring Expert Knowledge from Tabular Data to Images. UniReps (2023)
Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning. CoRR (2023)
Songli Wu, Liang Du, Jia-Qi Yang, Yuai Wang, De-Chuan Zhan, Shuang Zhao, Zixun Sun
REFORM: Removing False Correlation in Multi-level Interaction for CTR Prediction. CoRR (2023)
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. CoRR (2023)
Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
Self-Motivated Multi-Agent Exploration. AAMAS (2023)
Xin-Chun Li, Yang Yang, De-Chuan Zhan
MrTF: model refinery for transductive federated learning. Data Min. Knowl. Discov. 37 (5) (2023)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. CoRR (2023)
Ting-Ji Huang, Qi-Le Zhou, Han-Jia Ye, De-Chuan Zhan
Change Point Detection via Synthetic Signals. AALTD@ECML/PKDD (2023)
Han-Jia Ye, Qi-Le Zhou, De-Chuan Zhan
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation. CoRR (2023)
Lu Han, Han-Jia Ye, De-Chuan Zhan
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting. CoRR (2023)
Jia-Qi Yang, De-Chuan Zhan, Le Gan
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping. CoRR (2023)
Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. CoRR (2023)
Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR (2023)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
PyCIL: a Python toolbox for class-incremental learning. Sci. China Inf. Sci. 66 (9) (2023)
Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
Learning Robust Precipitation Forecaster by Temporal Frame Interpolation. CoRR (2023)
Chao Yi, Ting-Ji Huang, Han-Jia Ye, De-Chuan Zhan
Improved Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents. ICME Workshops (2023)
Lu Han, Han-Jia Ye, De-Chuan Zhan
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps. ICLR (2023)
Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Learning without Forgetting for Vision-Language Models. CoRR (2023)
Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. CoRR (2023)
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Deep Class-Incremental Learning: A Survey. CoRR (2023)
Han-Jia Ye, Lu Han, De-Chuan Zhan
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
Model Spider: Learning to Rank Pre-Trained Models Efficiently. CoRR (2023)
Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
Learning Debiased Representations via Conditional Attribute Interpolation. CVPR (2023)
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. CoRR (2023)
Yi Shi, Rui-Xiang Li, Wen-Qi Shao, Xin-Cen Duan, Han-Jia Ye, De-Chuan Zhan, Bai-Shen Pan, Bei-Li Wang, Wei Guo, Yuan Jiang
A Multi-task Method for Immunofixation Electrophoresis Image Classification. MICCAI (6) (2023)
Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan
One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR (2023)
Han-Jia Ye, Su Lu, De-Chuan Zhan
Generalized Knowledge Distillation via Relationship Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Preserving Locality in Vision Transformers for Class Incremental Learning. ICME (2023)
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
Model Spider: Learning to Rank Pre-Trained Models Efficiently. NeurIPS (2023)
Jia-Qi Yang, De-Chuan Zhan
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems. CoRR (2022)
Lu Han, Han-Jia Ye, De-Chuan Zhan
Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap. CoRR (2022)
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR (2022)
Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR (2022)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
Forward Compatible Few-Shot Class-Incremental Learning. CoRR (2022)
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) (2022)
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR (2022)
Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li
Streaming Hierarchical Clustering Based on Point-Set Kernel. KDD (2022)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
Forward Compatible Few-Shot Class-Incremental Learning. CVPR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CVPR (2022)
Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH (2022)
Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS (2022)
Han-Jia Ye, Yi Shi, De-Chuan Zhan
Identifying Ambiguous Similarity Conditions via Semantic Matching. CVPR (2022)
Da-Wei Zhou, Yang Yang, De-Chuan Zhan
Learning to Classify With Incremental New Class. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Su Lu, Han-Jia Ye, De-Chuan Zhan
Faculty Distillation with Optimal Transport. CoRR (2022)
Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
RID-Noise: Towards Robust Inverse Design under Noisy Environments. AAAI (2022)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR (2022)
Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan
Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. ICASSP (2022)
Han-Jia Ye, Su Lu, De-Chuan Zhan
Generalized Knowledge Distillation via Relationship Matching. CoRR (2022)
Han-Jia Ye, Yi Shi, De-Chuan Zhan
Identifying Ambiguous Similarity Conditions via Semantic Matching. CoRR (2022)
Lu Han, Han-Jia Ye, De-Chuan Zhan
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR (2022)
Jia-Qi Yang, De-Chuan Zhan
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems. NeurIPS (2022)
Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. INTERSPEECH (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CoRR (2022)
Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

De-Chuan Zhan