Han-Jia Ye - RankMe

184 papers A* 55A 3C 1Journal 116Unranked 8

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	A*	`conf`	DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis. AAAI Yusheng Li, Xincen Duan, Beili Wang, Wei Guo, Han-Jia Ye
2026	J	`jnl`	MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing. CoRR Haoxuan Ma, Guannan Lai, Han-Jia Ye
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`	The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation. CoRR Guannan Lai, Da-Wei Zhou, Zhenguo Li, Han-Jia Ye
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
2026	J	`jnl`	When Routing Collapses: On the Degenerate Convergence of LLM Routers. CoRR Guannan Lai, Han-Jia Ye
2025	J	`jnl`	A Closer Look at TabPFN v2: Strength, Limitation, and Extension. CoRR Han-Jia Ye, Si-Yang Liu, Wei-Lun Chao
2025	A*	`conf`	A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models. IJCAI Da-Wei Zhou, Han-Jia Ye
2025	J	`jnl`	Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge. Medical Image Anal. Zi-Yuan Wu, Wei Guo, Wei Zhou, Han-Jia Ye, Yuan Jiang, Houxuan Li, Zhi-Hua Zhou
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	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	A*	`conf`	Compositional Condition Question Answering in Tabular Understanding. ICML Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye
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 Evaluation of Large Language Models via Collaborative Filtering. CoRR Xu-Xiang Zhong, Chao Yi, Han-Jia Ye
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	J	`jnl`	Feature-aware Modulation for Learning from Temporal Tabular Data. CoRR Hao-Run Cai, Han-Jia Ye
2025	J	`jnl`	FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection. CoRR Silin Chen, Kangjian Di, Yichu Xu, Han-Jia Ye, Wenhan Luo, Ningmu Zou
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`	Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning. CoRR Yan Wang, Da-Wei Zhou, 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	J	`jnl`	Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard. CoRR Si-Yang Liu, Qile Zhou, Han-Jia Ye
2025	—	`conf`	Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning. ACL (1) Hai-Long Sun, Zhun Sun, Houwen Peng, Han-Jia Ye
2025	J	`jnl`	Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning. CoRR Hai-Long Sun, Zhun Sun, Houwen Peng, Han-Jia Ye
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`	Representation Learning for Tabular Data: A Comprehensive Survey. CoRR Jun-Peng Jiang, Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, 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	J	`jnl`	SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting. CoRR Ting-Ji Huang, Xu-Yang Chen, Han-Jia Ye
2025	A*	`conf`	TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems. ICML Siyang Liu, Han-Jia Ye
2025	J	`jnl`	TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems. CoRR Si-Yang Liu, Han-Jia Ye
2025	J	`jnl`	Talent: A Tabular Analytics and Learning Toolbox. J. Mach. Learn. Res. Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, Huai-Hong Yin, Tao Zhou, Jun-Peng Jiang, Han-Jia Ye
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`	The Lie of the Average: How Class Incremental Learning Evaluation Deceives You? CoRR Guannan Lai, Da-Wei Zhou, Xin Yang, Han-Jia Ye
2025	A*	`conf`	Understanding the Limits of Deep Tabular Methods with Temporal Shift. ICML Haorun Cai, Han-Jia Ye
2025	J	`jnl`	Understanding the Limits of Deep Tabular Methods with Temporal Shift. CoRR Hao-Run Cai, Han-Jia Ye
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	J	`jnl`	Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models. CoRR Hengzhuang Li, Xinsong Zhang, Qiming Peng, Bin Luo, Han Hu, Dengyang Jiang, Han-Jia Ye, Teng Zhang, Hai Jin
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	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	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	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`	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`	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	A*	`conf`	Graph Contrastive Learning with Cohesive Subgraph Awareness. WWW Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
2024	J	`jnl`	Graph Contrastive Learning with Cohesive Subgraph Awareness. CoRR Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
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`	Learning Only When It Matters: Cost-Aware Long-Tailed Classification. AAAI Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou
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	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	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	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`	Ovis: Structural Embedding Alignment for Multimodal Large Language Model. CoRR Shiyin Lu, Yang Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, 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`	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	J	`jnl`	TALENT: A Tabular Analytics and Learning Toolbox. CoRR Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, Han-Jia Ye
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	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	—	`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`	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`	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`	Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising. CoRR Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
2023	J	`jnl`	Generalized Knowledge Distillation via Relationship Matching. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, Su Lu, De-Chuan Zhan
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`	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	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`	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	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`	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	J	`jnl`	Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap. CoRR Lu Han, Han-Jia Ye, 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	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	J	`jnl`	Generalized Knowledge Distillation via Relationship Matching. CoRR Han-Jia Ye, Su Lu, De-Chuan Zhan
2022	A*	`conf`	How to Train Your MAML to Excel in Few-Shot Classification. ICLR Han-Jia Ye, Wei-Lun Chao
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`	On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. Trans. Mach. Learn. Res. Lu Han, Han-Jia Ye, De-Chuan Zhan
2021	A*	`conf`	A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval. NeurIPS Xiu-Shen Wei, Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang
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	A*	`conf`	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
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`	How to Train Your MAML to Excel in Few-Shot Classification. CoRR Han-Jia Ye, Wei-Lun Chao
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	A*	`conf`	MULL'21: First International Workshop on Multimedia Understanding with Less Labeling. ACM Multimedia Xiu-Shen Wei, Jufeng Yang, Han-Jia Ye, Jian Yang
2021	—	`ed.`	MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, Virtual Event, China, 24 October 2021 MULL @ ACM Multimedia Xiu-Shen Wei, Han-Jia Ye, Jufeng Yang, Jian Yang
2021	J	`jnl`	Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
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`	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`	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
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`	Novelty-Prepared Few-Shot Classification. CoRR Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu
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
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	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`	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`	Rectify Heterogeneous Models with Semantic Mapping. ICML Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2017	A*	`conf`	Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. IJCAI Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, 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	C	`conf`	Learning Feature Aware Metric. ACML Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, 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	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