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2020 – today
- 2025
[j7]Yi Shi
, Rui-Xiang Li, Le Gan, De-Chuan Zhan, Han-Jia Ye:
Generalized Conditional Similarity Learning via Semantic Matching. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3847-3862 (2025)- [c12]Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye:
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. AAAI 2025: 20699-20707 - 2024
- [c11]Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan:
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. ECAI 2024: 1720-1727 - [c10]Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan:
Revisit the Essence of Distilling Knowledge through Calibration. ICML 2024 - [c9]Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan:
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets. ICML 2024 - [c8]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. ICML 2024 - [c7]Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan:
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model. IJCAI 2024: 5046-5054 - [c6]Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan:
Leveraging Separated World Model for Exploration in Visually Distracted Environments. NeurIPS 2024 - [i10]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 abs/2403.09976 (2024) - [i9]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 abs/2404.03382 (2024) - [i8]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 abs/2404.03386 (2024) - [i7]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 abs/2405.13078 (2024) - [i6]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 abs/2406.09486 (2024) - [i5]Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan:
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. CoRR abs/2408.12237 (2024) - [i4]Hai-Long Sun, Dawei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye:
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. CoRR abs/2412.09441 (2024) - 2023
- [c5]Jia-Qi Yang, De-Chuan Zhan, Le Gan:
Beyond probability partitions: Calibrating neural networks with semantic aware grouping. NeurIPS 2023 - [i3]Jia-Qi Yang, De-Chuan Zhan, Le Gan:
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping. CoRR abs/2306.04985 (2023) - 2022
- [c4]Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan:
Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. ICASSP 2022: 3758-3762 - [c3]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: 3869-3873 - [i2]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 abs/2206.08864 (2022) - 2021
- [c2]Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan:
Towards Enabling Meta-Learning from Target Models. NeurIPS 2021: 8060-8071 - [i1]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 abs/2107.11954 (2021)
2010 – 2019
- 2018
- [j6]Zhigang Xu, Jike Chen, Junshi Xia, Peijun Du, Hongrui Zheng, Le Gan:
Multisource Earth Observation Data for Land-Cover Classification Using Random Forest. IEEE Geosci. Remote. Sens. Lett. 15(5): 789-793 (2018) - [j5]Le Gan, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1118-1130 (2018) - [j4]Peijun Du, Le Gan, Junshi Xia, Daming Wang:
Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(8): 4664-4677 (2018) - [j3]Le Gan, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 56(9): 5343-5356 (2018) - [c1]Yunfeng Li, Peijun Du, Zhaohui Xue, Le Gan, Xin Wang, Hao Liang:
A method of rice information extraction based on Particle Swarm Optimization SVM algorithm. ICMLC 2018: 396-400 - 2017
- [j2]Le Gan, Peijun Du, Junshi Xia, Yaping Meng:
Kernel Fused Representation-Based Classifier for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14(5): 684-688 (2017) - [j1]Le Gan, Junshi Xia, Peijun Du, Zhigang Xu:
Dissimilarity-Weighted Sparse Representation for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(11): 1968-1972 (2017)
Coauthor Index
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