De-Chuan Zhan - RankMe

256 papers A* 81A 7B 3C 2Misc 2Journal 142Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning. AAAI Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan
2026	J	`jnl`	Exploring dark knowledge under various teacher capacities and addressing capacity mismatch. Frontiers Comput. Sci. Wen-Shu Fan, Xin-Chun Li, De-Chuan Zhan
2026	—	`conf`	Logits-Based Block Pruning with Affine Transformations for Large Language Models. EACL (Findings) Zekun Hu, Yichu Xu, De-Chuan Zhan
2026	J	`jnl`	MARVL: Multi-Stage Guidance for Robotic Manipulation via Vision-Language Models. CoRR Xunlan Zhou, Xuanlin Chen, Shaowei Zhang, Xiangkun Li, Shenghua Wan, Xiaohai Hu, Yuan Lei, Le Gan, De-Chuan Zhan
2026	J	`jnl`	SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning. CoRR Zhen-Hao Xie, Jun-Tao Tang, Yu-Cheng Shi, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
2026	J	`jnl`	Trustworthy evaluation of large language models. Frontiers Comput. Sci. Xin-Yi Zhang, Han-Jia Ye, De-Chuan Zhan
2026	J	`jnl`	V CoRR Yi-Kai Zhang, Zhiyuan Yao, Hongyan Hao, Yueqing Sun, Qi Gu, Hui Su, Xunliang Cai, De-Chuan Zhan, Han-Jia Ye
2026	J	`jnl`	V CoRR Yi-Kai Zhang, Yueqing Sun, Hongyan Hao, Qi Gu, Xunliang Cai, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	Adaptive adapter routing for long-tailed class-incremental learning. Mach. Learn. Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan
2025	A*	`conf`	Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. ICML Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. CoRR Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning. CoRR Lan Li, Tao Hu, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	COURIER: contrastive user intention reconstruction for large-scale visual recommendation. Frontiers Comput. Sci. Jia-Qi Yang, Chenglei Dai, Dan Ou, Dongshuai Li, Ju Huang, De-Chuan Zhan, Xiaoyi Zeng, Yang Yang
2025	A*	`conf`	Capability Instruction Tuning. AAAI Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing. CoRR Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	Co-Evolving Latent Action World Models. CoRR Yucen Wang, Fengming Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
2025	A*	`conf`	Compositional Condition Question Answering in Tabular Understanding. ICML Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye
2025	A*	`conf`	DART: Distilling Autoregressive Reasoning to Silent Thought. EMNLP Nan Jiang, Ziming Wu, De-Chuan Zhan, Fuming Lai, Shaobing Lian
2025	J	`jnl`	DART: Distilling Autoregressive Reasoning to Silent Thought. CoRR Nan Jiang, Ziming Wu, De-Chuan Zhan, Fuming Lai, Shaobing Lian
2025	A*	`conf`	Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. CVPR Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
2025	J	`jnl`	Efficient Sampling-based Gaussian Processes for few-shot semantic segmentation. Pattern Recognit. Xinyi Zhang, Xian-Kai Lu, Yi-Long Yin, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	External Knowledge Injection for CLIP-Based Class-Incremental Learning. CoRR Da-Wei Zhou, Kai-Wen Li, Jingyi Ning, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
2025	A*	`conf`	FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making. ICML Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan
2025	J	`jnl`	FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making. CoRR Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan
2025	J	`jnl`	Generalized Conditional Similarity Learning via Semantic Matching. IEEE Trans. Pattern Anal. Mach. Intell. Yi Shi, Rui-Xiang Li, Le Gan, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation. CoRR Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	Hierarchical Representation Matching for CLIP-based Class-Incremental Learning. CoRR Zhen-Hao Wen, Yan Wang, Ji Feng, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
2025	A*	`conf`	Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens. ICML Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	Learning Without Forgetting for Vision-Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Da-Wei Zhou, Yuanhan Zhang, Yan Wang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2025	A*	`conf`	MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification. AAAI Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye
2025	A*	`conf`	MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. AAAI Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye
2025	—	`conf`	Maximizing the Effectiveness of Larger BERT Models for Compression. ACL (1) Wen-Shu Fan, Su Lu, Shangyu Xing, Xin-Chun Li, De-Chuan Zhan
2025	J	`jnl`	Model Assembly Learning with Heterogeneous Layer Weight Merging. CoRR Yi-Kai Zhang, Jin Wang, Xu-Xiang Zhong, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	Multimodal Tabular Reasoning with Privileged Structured Information. CoRR Jun-Peng Jiang, Yu Xia, Hai-Long Sun, Shiyin Lu, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo. CoRR Hao-Nan Shi, Ting-Ji Huang, Lu Han, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	PILOT: a pre-trained model-based continual learning toolbox. Sci. China Inf. Sci. Hai-Long Sun, Da-Wei Zhou, De-Chuan Zhan, Han-Jia Ye
2025	A*	`conf`	Parrot: Multilingual Visual Instruction Tuning. ICML 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
2025	J	`jnl`	Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. Int. J. Comput. Vis. Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2025	A*	`conf`	Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later. ICLR Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao
2025	J	`jnl`	Revisiting multi-dimensional classification from a dimension-wise perspective. Frontiers Comput. Sci. Yi Shi, Han-Jia Ye, Dongliang Man, Xiaoxu Han, De-Chuan Zhan, Yuan Jiang
2025	A*	`conf`	Reward Models in Deep Reinforcement Learning: A Survey. IJCAI Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan
2025	J	`jnl`	Reward Models in Deep Reinforcement Learning: A Survey. CoRR Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan
2025	A*	`conf`	Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. CVPR Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. CoRR Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting. CoRR Lu Han, Yu Liu, Qiwen Deng, Jian Jiang, Yinbo Sun, Zhe Yu, Binfeng Wang, Xingyu Lu, Lintao Ma, Han-Jia Ye, De-Chuan Zhan
2025	A*	`conf`	ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs. ICLR Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye
2024	J	`jnl`	A Closer Look at Deep Learning on Tabular Data. CoRR Han-Jia Ye, Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, De-Chuan Zhan
2024	A*	`conf`	AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors. ICML Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan
2024	J	`jnl`	AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors. CoRR Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan
2024	J	`jnl`	Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning. CoRR Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Aligning model outputs for class imbalanced non-IID federated learning. Mach. Learn. Lan Li, De-Chuan Zhan, Xin-Chun Li
2024	A*	`conf`	Bridge the Modality and Capability Gaps in Vision-Language Model Selection. NeurIPS Chao Yi, Yuhang He, De-Chuan Zhan, Han-Jia Ye
2024	J	`jnl`	Bridge the Modality and Capacity Gaps in Vision-Language Model Selection. CoRR Chao Yi, De-Chuan Zhan, Han-Jia Ye
2024	Misc	`conf`	CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. ICASSP Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2024	—	`conf`	CS3: Cascade SAM for Sperm Segmentation. MICCAI (3) 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
2024	J	`jnl`	CS3: Cascade SAM for Sperm Segmentation. CoRR 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
2024	J	`jnl`	Class-Incremental Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2024	J	`jnl`	Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2024	A*	`conf`	Continual Learning with Pre-Trained Models: A Survey. IJCAI Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Continual Learning with Pre-Trained Models: A Survey. CoRR Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	DIDA: Denoised Imitation Learning based on Domain Adaptation. CoRR Kaichen Huang, Hai-Hang Sun, Shenghua Wan, Minghao Shao, Shuai Feng, Le Gan, De-Chuan Zhan
2024	J	`jnl`	Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. CoRR Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
2024	A*	`conf`	Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation. ICML Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan
2024	A*	`conf`	Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CVPR Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CoRR Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch. CoRR Xin-Chun Li, Wen-Shu Fan, Bowen Tao, Le Gan, De-Chuan Zhan
2024	A*	`conf`	Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. NeurIPS Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
2024	J	`jnl`	Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. CoRR Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
2024	J	`jnl`	Few-Shot Learning With a Strong Teacher. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
2024	J	`jnl`	Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens. CoRR Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye
2024	A*	`conf`	Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification. CVPR Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye
2024	J	`jnl`	Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification. CoRR Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye
2024	A*	`conf`	Leveraging Separated World Model for Exploration in Visually Distracted Environments. NeurIPS Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification. CoRR Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye
2024	A*	`conf`	MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation. ICML Bowen Tao, Xin-Chun Li, De-Chuan Zhan
2024	J	`jnl`	MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. CoRR Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye
2024	A*	`conf`	MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model. IJCAI Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan
2024	J	`jnl`	Modern Neighborhood Components Analysis: A Deep Tabular Baseline Two Decades Later. CoRR Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan
2024	A*	`conf`	Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning. ICML Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions. CoRR Yi-Kai Zhang, Xu-Xiang Zhong, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye
2024	J	`jnl`	Parrot: Multilingual Visual Instruction Tuning. CoRR 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
2024	A	`conf`	RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction. UAI SongLi Wu, Liang Du, Jiaqi Yang, Yuai Wang, De-Chuan Zhan, Shuang Zhao, Zixun Sun
2024	A*	`conf`	Revisit the Essence of Distilling Knowledge through Calibration. ICML Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan
2024	J	`jnl`	Robust Semi-Supervised Learning by Wisely Leveraging Open-Set Data. IEEE Trans. Pattern Anal. Mach. Intell. Yang Yang, Nan Jiang Jiang, Yi Xu, De-Chuan Zhan
2024	J	`jnl`	Robust Semi-supervised Learning by Wisely Leveraging Open-set Data. CoRR Yang Yang, Nan Jiang Jiang, Yi Xu, De-Chuan Zhan
2024	J	`jnl`	SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring. CoRR Kaichen Huang, Minghao Shao, Shenghua Wan, Hai-Hang Sun, Shuai Feng, Le Gan, De-Chuan Zhan
2024	A*	`conf`	SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting. ICML Lu Han, Han-Jia Ye, De-Chuan Zhan
2024	A*	`conf`	SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion. NeurIPS Han Lu, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion. CoRR Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
2024	A*	`conf`	SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets. ICML Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan
2024	J	`jnl`	SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets. CoRR Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan
2024	J	`jnl`	TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen. CoRR Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	TV100: a TV series dataset that pre-trained CLIP has not seen. Frontiers Comput. Sci. Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
2024	A*	`conf`	Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images. ICML Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan
2024	J	`jnl`	The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Lu Han, Han-Jia Ye, De-Chuan Zhan
2024	A*	`conf`	Twice Class Bias Correction for Imbalanced Semi-supervised Learning. AAAI Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye
2024	J	`jnl`	Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks. CoRR Xin-Chun Li, Lan Li, De-Chuan Zhan
2024	A	`conf`	Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. ECAI Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan
2024	J	`jnl`	Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. CoRR Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan
2024	A*	`conf`	Wings: Learning Multimodal LLMs without Text-only Forgetting. NeurIPS Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
2024	J	`jnl`	Wings: Learning Multimodal LLMs without Text-only Forgetting. CoRR Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
2023	A*	`conf`	A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
2023	—	`conf`	A Multi-task Method for Immunofixation Electrophoresis Image Classification. MICCAI (6) Yi Shi, Rui-Xiang Li, Wen-Qi Shao, Xincen Duan, Han-Jia Ye, De-Chuan Zhan, Bai-Shen Pan, Beili Wang, Wei Guo, Yuan Jiang
2023	A*	`conf`	Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps. ICLR Lu Han, Han-Jia Ye, De-Chuan Zhan
2023	A*	`conf`	BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
2023	J	`jnl`	Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping. CoRR Jia-Qi Yang, De-Chuan Zhan, Le Gan
2023	A*	`conf`	Beyond probability partitions: Calibrating neural networks with semantic aware grouping. NeurIPS Jia-Qi Yang, De-Chuan Zhan, Le Gan
2023	J	`jnl`	CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. CoRR Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2023	J	`jnl`	COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features. CoRR Jia-Qi Yang, Chenglei Dai, Dan Ou, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang
2023	—	`conf`	Change Point Detection via Synthetic Signals. AALTD@ECML/PKDD Ting-Ji Huang, Qi-Le Zhou, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network. IEEE Trans. Knowl. Data Eng. Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang
2023	J	`jnl`	Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
2023	J	`jnl`	Deep Class-Incremental Learning: A Survey. CoRR Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023	J	`jnl`	Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection. Sci. China Inf. Sci. Yang Yang, Ran Bao, Weili Guo, De-Chuan Zhan, Yilong Yin, Jian Yang
2023	J	`jnl`	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan
2023	A*	`conf`	Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. NeurIPS Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. CoRR Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Generalized Knowledge Distillation via Relationship Matching. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, Su Lu, De-Chuan Zhan
2023	A*	`conf`	IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. KDD Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang
2023	J	`jnl`	IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. CoRR Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang
2023	—	`conf`	Improved Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents. ICME Workshops Chao Yi, Ting-Ji Huang, Han-Jia Ye, De-Chuan Zhan
2023	A*	`conf`	Learning Debiased Representations via Conditional Attribute Interpolation. CVPR Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Learning Robust Precipitation Forecaster by Temporal Frame Interpolation. CoRR Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	Learning without Forgetting for Vision-Language Models. CoRR Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023	A*	`conf`	Model Spider: Learning to Rank Pre-Trained Models Efficiently. NeurIPS Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Model Spider: Learning to Rank Pre-Trained Models Efficiently. CoRR Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	MrTF: Model Refinery for Transductive Federated Learning. CoRR Xin-Chun Li, Yang Yang, De-Chuan Zhan
2023	J	`jnl`	MrTF: model refinery for transductive federated learning. Data Min. Knowl. Discov. Xin-Chun Li, Yang Yang, De-Chuan Zhan
2023	J	`jnl`	On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. CoRR Lu Han, Han-Jia Ye, De-Chuan Zhan
2023	—	`conf`	On Transferring Expert Knowledge from Tabular Data to Images. UniReps Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan
2023	—	`conf`	One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan
2023	J	`jnl`	PILOT: A Pre-Trained Model-Based Continual Learning Toolbox. CoRR Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2023	A	`conf`	Preserving Locality in Vision Transformers for Class Incremental Learning. ICME Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	PyCIL: a Python toolbox for class-incremental learning. Sci. China Inf. Sci. Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	REFORM: Removing False Correlation in Multi-level Interaction for CTR Prediction. CoRR SongLi Wu, Liang Du, Jia-Qi Yang, Yuai Wang, De-Chuan Zhan, Shuang Zhao, Zixun Sun
2023	J	`jnl`	Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023	J	`jnl`	Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, Lu Han, De-Chuan Zhan
2023	A*	`conf`	SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. ICML Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan
2023	J	`jnl`	SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. CoRR Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan
2023	A	`conf`	Self-Motivated Multi-Agent Exploration. AAMAS Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
2023	J	`jnl`	Self-Motivated Multi-Agent Exploration. CoRR Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
2023	J	`jnl`	Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data. CoRR Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
2023	J	`jnl`	The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting. CoRR Lu Han, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation. CoRR Han-Jia Ye, Qi-Le Zhou, De-Chuan Zhan
2023	—	`conf`	Transductive Fire-Affected Area Segmentation Using False-Color Composite Data. PKDD/ECML Workshops (5) Chao Yi, Xu-Yang Chen, Lu Ren, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	Twice Class Bias Correction for Imbalanced Semi-Supervised Learning. CoRR Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Unlocking the Transferability of Tokens in Deep Models for Tabular Data. CoRR Qi-Le Zhou, Han-Jia Ye, Leye Wang, De-Chuan Zhan
2023	J	`jnl`	ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse. CoRR Yi-Kai Zhang, Lu Ren, Chao Yi, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
2022	J	`jnl`	A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
2022	A*	`conf`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	A	`conf`	Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. INTERSPEECH Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	A	`conf`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	J	`jnl`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	J	`jnl`	Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap. CoRR Lu Han, Han-Jia Ye, De-Chuan Zhan
2022	Misc	`conf`	Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. ICASSP Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan
2022	—	`conf`	FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	J	`jnl`	FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	J	`jnl`	Faculty Distillation with Optimal Transport. CoRR Su Lu, Han-Jia Ye, De-Chuan Zhan
2022	A*	`conf`	Federated Learning with Position-Aware Neurons. CVPR Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Federated Learning with Position-Aware Neurons. CoRR Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	A*	`conf`	Forward Compatible Few-Shot Class-Incremental Learning. CVPR Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
2022	J	`jnl`	Forward Compatible Few-Shot Class-Incremental Learning. CoRR Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
2022	A*	`conf`	Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems. NeurIPS Jia-Qi Yang, De-Chuan Zhan
2022	J	`jnl`	Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems. CoRR Jia-Qi Yang, De-Chuan Zhan
2022	J	`jnl`	Generalized Knowledge Distillation via Relationship Matching. CoRR Han-Jia Ye, Su Lu, De-Chuan Zhan
2022	A*	`conf`	Identifying Ambiguous Similarity Conditions via Semantic Matching. CVPR Han-Jia Ye, Yi Shi, De-Chuan Zhan
2022	J	`jnl`	Identifying Ambiguous Similarity Conditions via Semantic Matching. CoRR Han-Jia Ye, Yi Shi, De-Chuan Zhan
2022	J	`jnl`	Learning to Classify With Incremental New Class. IEEE Trans. Neural Networks Learn. Syst. Da-Wei Zhou, Yang Yang, De-Chuan Zhan
2022	J	`jnl`	On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. Trans. Mach. Learn. Res. Lu Han, Han-Jia Ye, De-Chuan Zhan
2022	A*	`conf`	RID-Noise: Towards Robust Inverse Design under Noisy Environments. AAAI Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
2022	A*	`conf`	Streaming Hierarchical Clustering Based on Point-Set Kernel. KDD Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li
2021	J	`jnl`	Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	A*	`conf`	Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. AAAI Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong
2021	A*	`conf`	Co-Transport for Class-Incremental Learning. ACM Multimedia Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Co-Transport for Class-Incremental Learning. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Contextualizing Multiple Tasks via Learning to Decompose. CoRR Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2021	J	`jnl`	Deep multiple instance selection. Sci. China Inf. Sci. Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi
2021	—	`conf`	Detecting Sequentially Novel Classes with Stable Generalization Ability. PAKDD (1) Da-Wei Zhou, Yang Yang, De-Chuan Zhan
2021	—	`conf`	FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	A*	`conf`	FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. KDD Xin-Chun Li, De-Chuan Zhan
2021	J	`jnl`	Few-Shot Action Recognition with Compromised Metric via Optimal Transport. CoRR Su Lu, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Few-Shot Learning with a Strong Teacher. CoRR Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
2021	J	`jnl`	Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates. CoRR Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan
2021	J	`jnl`	Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning. Int. J. Comput. Vis. Han-Jia Ye, Hexiang Hu, De-Chuan Zhan
2021	A*	`conf`	Learning Placeholders for Open-Set Recognition. CVPR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Learning Placeholders for Open-Set Recognition. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	B	`conf`	Multi-Modal Multi-Instance Multi-Label Learning with Graph Convolutional Network. IJCNN Cheng Hang, Wei Wang, De-Chuan Zhan
2021	J	`jnl`	Preliminary Steps Towards Federated Sentiment Classification. CoRR Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	A*	`conf`	Procrustean Training for Imbalanced Deep Learning. ICCV Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
2021	J	`jnl`	Procrustean Training for Imbalanced Deep Learning. CoRR Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
2021	J	`jnl`	PyCIL: A Python Toolbox for Class-Incremental Learning. CoRR Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	RID-Noise: Towards Robust Inverse Design under Noisy Environments. CoRR Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
2021	A*	`conf`	Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. IJCAI Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang
2021	J	`jnl`	Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities. IEEE Trans. Knowl. Data Eng. Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, Yuan Jiang
2021	J	`jnl`	Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. CoRR Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2021	J	`jnl`	Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. IEEE Trans. Knowl. Data Eng. Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2021	J	`jnl`	Support-Target Protocol for Meta-Learning. CoRR Su Lu, Han-Jia Ye, De-Chuan Zhan
2021	A*	`conf`	Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. AAAI Su Lu, Han-Jia Ye, De-Chuan Zhan
2021	A*	`conf`	Task Cooperation for Semi-Supervised Few-Shot Learning. AAAI Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan
2021	A*	`conf`	Towards Enabling Meta-Learning from Target Models. NeurIPS Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan
2020	J	`jnl`	A semi-supervised attention model for identifying authentic sneakers. Big Data Min. Anal. Yang Yang, Nengjun Zhu, Yi-Feng Wu, Jian Cao, De-Chuan Zhan, Hui Xiong
2020	—	`conf`	Bottom-Up and Top-Down Graph Pooling. PAKDD (2) Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li
2020	J	`jnl`	Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. CoRR Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong
2020	A*	`conf`	Distilling Cross-Task Knowledge via Relationship Matching. CVPR Han-Jia Ye, Su Lu, De-Chuan Zhan
2020	A*	`conf`	Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. CVPR Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
2020	J	`jnl`	Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach. Mach. Learn. Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan
2020	J	`jnl`	Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
2020	J	`jnl`	Learning Multiple Local Metrics: Global Consideration Helps. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Nan Li, Yuan Jiang
2020	J	`jnl`	Revisiting Meta-Learning as Supervised Learning. CoRR Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
2020	J	`jnl`	Revisiting Unsupervised Meta-Learning: Amplifying or Compensating for the Characteristics of Few-Shot Tasks. CoRR Han-Jia Ye, Lu Han, De-Chuan Zhan
2020	—	`conf`	Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. PAKDD (2) Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu
2019	A*	`conf`	Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. KDD Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
2019	A*	`conf`	Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. IJCAI Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu
2019	A*	`conf`	Comprehensive Semi-Supervised Multi-Modal Learning. IJCAI Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang
2019	A*	`conf`	Deep Robust Unsupervised Multi-Modal Network. AAAI Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2019	J	`jnl`	Fast generalization rates for distance metric learning. Mach. Learn. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
2019	J	`jnl`	Learning Classifier Synthesis for Generalized Few-Shot Learning. CoRR Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
2019	A*	`conf`	Multi-View Anomaly Detection: Neighborhood in Locality Matters. AAAI Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang
2019	J	`jnl`	What Makes Objects Similar: A Unified Multi-Metric Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2018	A*	`conf`	Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. KDD Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2018	—	`conf`	DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning. ICBK Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang
2018	B	`conf`	Deep Multi-modal Learning with Cascade Consensus. PRICAI Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang
2018	A*	`conf`	Distance Metric Facilitated Transportation between Heterogeneous Domains. IJCAI Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He
2018	J	`jnl`	Learning Embedding Adaptation for Few-Shot Learning. CoRR Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
2018	A*	`conf`	Learning Semantic Features for Software Defect Prediction by Code Comments Embedding. ICDM Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan
2018	—	`conf`	Multi-network User Identification via Graph-Aware Embedding. PAKDD (2) Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang
2018	A*	`conf`	Rectify Heterogeneous Models with Semantic Mapping. ICML Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2018	A*	`conf`	Semi-Supervised Multi-Modal Learning with Incomplete Modalities. IJCAI Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
2017	A*	`conf`	Deep Learning for Fixed Model Reuse. AAAI Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou
2017	C	`conf`	Instance Specific Discriminative Modal Pursuit: A Serialized Approach. ACML Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang
2017	A*	`conf`	Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. IJCAI Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
2017	A*	`conf`	Modal Consistency based Pre-Trained Multi-Model Reuse. IJCAI Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang
2016	A*	`conf`	College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. ICDM Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang
2016	A*	`conf`	Instance Specific Metric Subspace Learning: A Bayesian Approach. AAAI Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
2016	A*	`conf`	Learning Expected Hitting Time Distance. AAAI De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou
2016	C	`conf`	Learning Feature Aware Metric. ACML Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
2016	A*	`conf`	Learning by Actively Querying Strong Modal Features. IJCAI Yang Yang, De-Chuan Zhan, Yuan Jiang
2016	—	`conf`	What Makes Objects Similar: A Unified Multi-Metric Learning Approach. NIPS Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou
2015	A*	`conf`	Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. IJCAI Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
2015	J	`jnl`	Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou
2015	A	`conf`	Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. CIKM Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou
2014	J	`jnl`	A Novel Serial Multimodal Biometrics Framework Based on Semisupervised Learning Techniques. IEEE Trans. Inf. Forensics Secur. Qing Zhang, Yilong Yin, De-Chuan Zhan, Jingliang Peng
2013	—	`conf`	Multi Gesture Recognition: A Tracking Learning Detection Approach. IScIDE Meng-Yuan Shi, De-Chuan Zhan
2013	A*	`conf`	Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA. IJCAI Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou
2012	—	`conf`	Learning with Weak Views Based on Dependence Maximization Dimensionality Reduction. IScIDE Qing Zhang, De-Chuan Zhan, Yilong Yin
2009	A*	`conf`	Learning instance specific distances using metric propagation. ICML De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou
2007	J	`jnl`	Predicting Future Customers via Ensembling Gradually Expanded Trees. Int. J. Data Warehous. Min. Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou
2007	A*	`conf`	Semi-Supervised Learning with Very Few Labeled Training Examples. AAAI Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang
2006	B	`conf`	Neighbor Line-Based Locally Linear Embedding. PAKDD De-Chuan Zhan, Zhi-Hua Zhou
2005	J	`jnl`	Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Trans. Syst. Man Cybern. Part B Xin Geng, De-Chuan Zhan, Zhi-Hua Zhou