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2020 – today
- 2026
[j8]Daixun Li
, Weiying Xie, Leyuan Fang, Yunke Wang, Zirui Li, Mingxiang Cao, Jitao Ma, Yunsong Li, Chang Xu:
MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification. Neural Networks 198: 108628 (2026)- [c13]Rui Xu, Yunke Wang, Yong Luo, Bo Du:
Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment. AAAI 2026: 27323-27331 - [i17]Zunzhi You, Haolan Guo, Yunke Wang, Chang Xu:
SmoothTurn: Learning to Turn Smoothly for Agile Navigation with Quadrupedal Robots. CoRR abs/2603.12842 (2026) - [i16]Xiangyu Zeng, Qi Xu, Yunke Wang, Chang Xu:
HiCI: Hierarchical Construction-Integration for Long-Context Attention. CoRR abs/2603.20843 (2026) - 2025
- [j7]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) - [j6]Yunke Wang, Chang Xu, Tianyu Guo, Bo Du, Dacheng Tao:
On Positive-Unlabeled Classification From Corrupted Data in GANs. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 6859-6875 (2025) - [j5]Yaochen Liu, Yunke Wang, Zixuan Jing:
Visual Attention Fusion Network (VAFNet): Bridging Bottom-Up and Top-Down Features in Infrared and Visible Image Fusion. Symmetry 17(7): 1104 (2025) - [c12]Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu:
WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. AAAI 2025: 1998-2006 - [c11]Rui Xu, Yunke Wang, Lihua Zhang, Yong Luo, Shu Yang, Yihui Wang, Bo Du, Hao Chen:
Masked Diffusion Models for Unsupervised Anomaly Detection in Brain Images. BIBM 2025: 4305-4308 - [c10]Yunke Wang, Yanxi Li, Chang Xu:
Position: AI Scaling: From Up to Down and Out. ICML (Position Papers) 2025 - [c9]Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Yusi Zhang, Leyuan Fang, Yunsong Li, Chang Xu:
FusionSAM: Visual Multi-Modal Learning with Segment Anything Model. KDD (2) 2025: 1330-1340 - [c8]Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu:
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V. NAACL (Findings) 2025: 6396-6418 - [c7]Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen:
Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) 2025: 2052-2055 - [i15]Yunke Wang, Yanxi Li, Chang Xu:
AI Scaling: From Up to Down and Out. CoRR abs/2502.01677 (2025) - [i14]Siyu Xu, Yunke Wang, Chenghao Xia, Dihao Zhu, Tao Huang, Chang Xu:
VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation. CoRR abs/2502.02175 (2025) - [i13]Laibin Chang, Yunke Wang, JiaXing Huang, Longxiang Deng, Bo Du, Chang Xu:
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation. CoRR abs/2504.02391 (2025) - [i12]Rui Xu, Yunke Wang, Yong Luo, Bo Du:
Rethinking Visual Token Reduction in LVLMs under Cross-modal Misalignment. CoRR abs/2506.22283 (2025) - [i11]Xiaohuan Pei, Yuxing Chen, Siyu Xu, Yunke Wang, Yuheng Shi, Chang Xu:
Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation. CoRR abs/2509.22093 (2025) - [i10]Eason Yu, Tzu Hao Liu, Yunke Wang, Clément L. Canonne, Nguyen H. Tran, Chang Xu:
Nash Policy Gradient: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria. CoRR abs/2510.18183 (2025) - [i9]Shanhui Liu, Rui Xu, Yunke Wang:
MambaScope: Coarse-to-Fine Scoping for Efficient Vision Mamba. CoRR abs/2512.00647 (2025) - [i8]Siyu Xu, Zijian Wang, Yunke Wang, Chenghao Xia, Tao Huang, Chang Xu:
Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation. CoRR abs/2512.07472 (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: 50313-50331 - [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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