Yikai Wang

I'm currently a PhD student (2017-2022) at Tsinghua University advised by Professor Fuchun Sun. My major research fields include multimodal fusion (multi-domain vision, vision-lidar, vision-language), efficient network design (quantization, pruning, distillation), etc.

Publications

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks
Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao
International Conference on Computer Vision (ICCV), 2021
[Paper] [Code] [Slides] [BibTex]
Elastic Tactile Simulation Towards Tactile-Visual Perception
Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li
ACM International Conference on Multimedia (ACMMM), Oral, 2021
[Paper] [Code] [Slides] [BibTex]
Deep Multimodal Fusion by Channel Exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
Advances in Neural Information Processing Systems (NeurIPS), 2020
[Paper] [Code] [Slides] [BibTex]
Resolution Switchable Networks for Runtime Efficient Image Recognition
Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao
European Conference on Computer Vision (ECCV), 2020
[Paper] [Code] [Slides] [BibTex]
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
Yikai Wang, Fuchun Sun, Ming Lu, Anbang Yao
ACM International Conference on Multimedia (ACMMM), 2020
[Paper] [Code] [Slides] [BibTex]
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-through Rate Prediction
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
ACM International Conference on Information and Knowledge Management (CIKM), 2019
[Paper] [Slides] [BibTex]
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
(Under review) IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2021
[Paper] [Code] [Slides] [BibTex]

Honors & Awards

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