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副高级

王一凯

  时间:2024-11-21  浏览:

基本信息

  • 职称:副教授(硕士生导师)

  • 研究方向:深度多模态融合,三维/视频多模态生成,模型轻量化

  • 电子邮箱:yikaiw@outlook.com

  • 个人主页:https://yikaiw.github.io

个人简介

王一凯,人工智能学院副教授。2017年6月获得西安交通大学电气工程及其自动化专业学士学位;2022年6月获得清华大学计算机科学与技术专业博士学位,师从孙富春教授。研究方向包括深度多模态融合感知、多模态生成、模型轻量化等科研领域,学术论文发表于TPAMI、NeurIPS、CVPR、ICCV等国际顶级期刊和会议。荣获国自然青年基金、博士后基金、华为学术基金项目资助。

教育背景

  • 20172022 清华大学计算机科学与技术系  博士

  • 20132017 西安交通大学大学电气工程学院 学士

工作经历

  • 2024至今 北京师范大学人工智能学院 副教授

  • 20222024 清华大学计算机科学与技术系 博士后

主持和参加的科研项目

  • 国家自然科学基金青年基金复杂场景下的时序多模态融合方法研究主持

  • 中国博士后科学基金面上项目基于时序多模态融合感知的三维信息重构方法研究》,主持

  • 中国人工智能学会-华为MindSpore学术奖励基金项目机器人操作场景的多模态感知融合》,主持

主要学术成果

* 表示共同第一作者,#表示通讯作者

完整发表目录详见https://scholar.google.com/citations?user=MnW5aegAAAAJ&hl=en

  • Yikai Wang*, Xinzhou Wang*, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu. Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels. Advances in Neural Information Processing Systems (NeurIPS), CCF-A, 2024

  • Xinzhou Wang, Yikai Wang#, Junliang Ye, Zhengyi Wang, Fuchun Sun#, Pengkun Liu, Ling Wang, et al. AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation. European Conference on Computer Vision (ECCV), 2024

  • Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu. CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Models. European Conference on Computer Vision (ECCV), 2024

  • Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu. DreamReward: Aligning Human Preference in Text-to-3D Generation. European Conference on Computer Vision (ECCV), 2024

  • He Liu*, Yikai Wang*, Huaping Liu, Fuchun Sun, Anbang Yao. Small Scale Data-Free Knowledge Distillation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A 2024

  • Zilong Chen, Feng Wang, Yikai Wang, Huaping Liu. Text-to-3D using Gaussian Splatting. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2024

  • Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, et al. GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2024

  • Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu. InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image. International Conference on Learning Representations (ICLR), 2024

  • Yikai Wang, Wenbing Huang, Fuchun Sun, Anbang Yao. Compacting Binary Neural Networks by Sparse Kernel Selection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2023

  • Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang. Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. International Conference on Computer Vision (ICCV), CCF-A, 2023

  • Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu. ProliffcDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation . Advances in Neural Information Processing Systems (NeurIPS, Spotlight), CCF-A, 2023

  • Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, et al. Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Highlight), CCF-A, 2023

  • Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, et al. Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2023

  • Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao. Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), CCF-A, 2023

  • Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang. Multimodal Token Fusion for Vision Transformers. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2022

  • Yikai Wang, Tengqi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao. Bridged Transformer for Vision and Point Cloud 3D Object Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A, 2022

  • Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaolong Liu. Sound Adversarial Audio-Visual Navigation. International Conference on Learning Representations (ICLR), 2022

  • He Liu, Huaping Liu, Yikai Wang, Fuchun Sun, Wenbing Huang. Fine-grained Multi-level Fusion for Anti-occlusion Monocular 3D Object Detection. IEEE Transactions on Image Processing (TIP), 2022

  • Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao. Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks. International Conference on Computer Vision (ICCV), CCF-A, 2021

  • Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li. Elastic Tactile Simulation Towards Tactile-Visual Perception. ACM International Conference on Multimedia (MM, Oral), CCF-A, 2021

  • Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang. Deep Multimodal Fusion by Channel Exchanging. Advances in Neural Information Processing Systems (NeurIPS), CCF-A, 2020

  • Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao. Resolution Switchable Networks for Runtime Efficient Image Recognition. European Conference on Computer Vision (ECCV), 2020

  • Yikai Wang, Fuchun Sun, Ming Lu, Anbang Yao. Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion. ACM International Conference on Multimedia (MM), CCF-A, 2020

  • Yikai Wang*, Liang Zhang*, Quanyu Dai, Fuchun Sun, et al. Regularized Adversarial Sampling and Deep Time-aware Attention for CTR Prediction. ACM International Conference on Information and Knowledge Management (CIKM), 2019

奖励与荣誉

  • 2022 清华大学“水木学者”

  • 2021 博士生国家奖学金

  • 2021华为“创新先锋奖”

指导学生项目

  • 2022—2024指导/共同指导20余硕、博士研究生高质量完成科研实验,成功发表高水平期刊或会议(CVPR、ECCV、ICLR、TIP等),部分成果获得国内外多关注

  • 20222023共同指导1名博士研究生开展毕业设计和论文修改指导该同学发表1篇TIP和1篇CVPR该同学顺利通过博士论文答辩,已于2023初毕业。

招生说明

  • 常年招收硕士研究生,实习生(包含在读博士)。要求:1.对科研工作富有热情;2.求真务实,精益求精;3.有较强编程基础。