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2020 – today
- 2025
[j5]Laibin Chang
, Yunke Wang, Bo Du, Chang Xu:
Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks 181: 106809 (2025)- 2024
- [j4]Yaning Han, Ke Chen, Yunke Wang, Wenhao Liu, Zhouwei Wang, Xiaojing Wang, Chuanliang Han, Jiahui Liao, Kang Huang, Shengyuan Cai, Yiting Huang, Nan Wang, Jinxiu Li, Yangwangzi Song, Jing Li, Guo-Dong Wang, Liping Wang, Yaping Zhang, Pengfei Wei:
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework. Nat. Mac. Intell. 6(1): 48-61 (2024) - [j3]Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu:
Multi-tailed vision transformer for efficient inference. Neural Networks 174: 106235 (2024) - [j2]Faqun Qi, Yunke Wang, Xisha Wang, Yao Wu:
A novel condition-based maintenance policy considering imperfect switching for warm standby systems. Qual. Reliab. Eng. Int. 40(3): 1148-1164 (2024) - [j1]Faqun Qi, Yunke Wang, Fengping Li:
A Condition-Based Maintenance Policy Considering Batch Sizes for Warm Standby Systems With Priority to Repair. IEEE Trans. Reliab. 73(4): 1721-1730 (2024) - [c6]Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstrations. ICML 2024 - [i7]Rui Xu, Yunke Wang, Bo Du:
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images. CoRR abs/2401.10561 (2024) - [i6]Yunke Wang, Linwei Tao, Bo Du, Yutian Lin, Chang Xu:
Visual Imitation Learning with Calibrated Contrastive Representation. CoRR abs/2401.11396 (2024) - [i5]Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu:
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR abs/2403.11468 (2024) - [i4]Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Jiaqing Zhang, Yunsong Li, Leyuan Fang, Chang Xu:
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation. CoRR abs/2408.13980 (2024) - 2023
- [c5]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. AAAI 2023: 10262-10270 - [c4]Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu:
Learning to Schedule in Diffusion Probabilistic Models. KDD 2023: 2478-2488 - [i3]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. CoRR abs/2302.06271 (2023) - [i2]Yunke Wang, Minjing Dong, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstration. CoRR abs/2310.07143 (2023) - 2022
- [i1]Yunke Wang, Bo Du, Chang Xu:
Multi-Tailed Vision Transformer for Efficient Inference. CoRR abs/2203.01587 (2022) - 2021
- [c3]Yunke Wang, Chang Xu, Bo Du, Honglak Lee:
Learning to Weight Imperfect Demonstrations. ICML 2021: 10961-10970 - [c2]Yunke Wang, Chang Xu, Bo Du:
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. IJCAI 2021: 3155-3161
2010 – 2019
- 2015
- [c1]Fangyue Chen, Yunke Wang, Heng Song, Xiangyang Li:
A statistical study of covert timing channels using network packet frequency. ISI 2015: 166-168
Coauthor Index
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