Can Wang   Phd Candidate Department of Computer Science City University of Hong Kong Hong Kong, China Email: cwang355-c at my dot cityu dot edu dot hk Blog: https://blog.csdn.net/cassiePython Github: https://github.com/cassiePython

Biography

I am currently a third-year Phd Candidate. My advisor is Prof. Jing Liao. During my Phd study, I am co-supervised by Menglei Chai, Mingming He, and Dongdong Chen. I was a research intern at Meta Reality Lab, Codec Avatar team, worked with Kaiwen Guo, Yuhua Chen, and Jingyun Liang.

I have broad research interests in machine learning, computer vision, and graphics. Recently I am focusing on neural implicit fields and diffusion models.

Publications

• Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields,
  Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao
  arXiv, 2023. [Project]
  
• AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control,
  Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
  International Conference on Computer Vision (ICCV), 2023. [Project]
  
• NeRF-Art: Text-Driven Neural Radiance Fields Stylization,
  Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
  IEEE Transactions on Visualization and Computer Graphics, 2023. [Project]
  
• FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing,
  Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao
  ACM SIGGRAPH Conference in Asia (SIGGRAPH Asia), 2022. [Project]
  
• CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields,
  Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
  Computer Vision and Pattern Recognition (CVPR), 2022. [Project]
  
• Deep Portrait Lighting Enhancement with 3D Guidance,
  Fangzhou Han*, Can Wang*, Hao Du, Jing Liao [*Equal Contribution]
  Eurographics Symposium on Rendering, selected to CGF Track (EGSR & CGF), 2021. [Project]
  
• Cross-Domain and Disentangled Face Manipulation with 3D Guidance,
  Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
  IEEE Transactions on Visualization and Computer Graphics, 2021. [Project]
  
• Dual Learning for Joint Facial Landmark Detection and Action Unit Recognition,
  Shangfei Wang, Yanan Chang, Can Wang
  IEEE Transactions on Affective Computing (IEEE), 2021.
  
• Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network,
  Can Wang, Shangfei Wang
  ACM Multimedia (ACMMM), 2018.
  
• Video Affective Content Analysis by Exploring Domain Knowledge,
  Shangfei Wang, Can Wang, Tanfang Chen, Yaxin Wang, Yangyang Shu, Qiang Ji
  IEEE Transactions on Affective Computing (IEEE), 2019.
  
• Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning,
  Can Wang, Shangfei Wang, Guang Liang
  ACM Multimedia (ACMMM), 2019.
  
• Integrating Facial Images, Speeches and Time for Empathy Prediction,
  Shi Yin, Yonggan Fu, Can Wang, Runlong Wu, Heyan Ding, Shangfei Wang
  Automatic Face & Gesture Recognition (FG), 2019. [Code]
  
• 面部表情分析,
  Shangfei Wang, Can Wang
  CAA-PRMI专委会通讯2019年第4期(总第8期)约稿 (中国自动化学会), 2019.
  
• CardioID: learning to identification from electrocardiogram data,
  Shenda Hong, Can Wang, Zhaoji Fu
  Neurocomputing , 2020. [Code]
  
• Exploiting Multi-Emotion Relations at Feature and Label Levels for Emotion Tagging,
  Zhiwei Xu, Shangfei Wang, Can Wang
  ACM Multimedia (ACMMM), 2020.
  
• Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition,
  Guang Liang, Shangfei Wang, Can Wang
  arXiv.org, 2020.
  
• Gated Temporal Convolutional Neural Network and Expert Features for Diagnosing and Explaining Physiological Time Series: A Case Study on Heart Rates,
  Shenda Hong, Can Wang, Zhaoji Fu
  Computer Methods and Programs in Biomedicine , 2020.
  
• Pose-Invariant Facial Expression Recognition,
  Guang Liang, Shangfei Wang, Can Wang
  Automatic Face & Gesture Recognition (FG), 2021.
  
• HITS: Binarizing Physiological Time Series with Deep Hashing Neural Network,
  Zhaoji Fu, Can Wang, Guodong Wei, Wenrui Zhang, Shaofu Du, Shenda Hong
  Pattern Recognition Letters , 2022.
  

Employment

• Internship in the Institute of Electrics, Chinese Academy of Sciences, 6/2017-9/2017.
• Internship in the Students We-Media Alliance, Baidu, 7/2018-10/2018.
• Internship in the Anhui Heart Voice Medical Technology Limited Company, HeartVoice, 8/2019-8/2020.

Teaching Assistant

• Advanced Artificial Intelligence (2019 Winter)
• Introduction to Artificial Intelligence (2019 Spring)
• Pattern Recognition (2018 Winter)
• C Language Programming (2018 Winter)

Patents

• 基于对抗学习的角度鲁棒的个性化人脸表情识别方法，CN111382684A，Shangfei Wang, Can Wang
  

Honors & Awards

Java Programming Contest of Oracle, the Third Prize, 2015.

RoboCup International Competition and Symposium, the Second Prize of China, 2015.

China Collegiate Programming Contest, the Second Prize of China, 2016.

Excellent Intern in Chinese Academy of Sciences, 2017.

The Best Editor Award of Baidu, 2018.

The second place of 2018 OMG-Empathy Prediction Challenge of IEEE FG conference, See more, 2018.

Student Travel Award, ACMMM 2018.

National Scholarship, 2018.

National Scholarship, 2019.

Outstanding graduate in Anhui Province, 2020.

The fourth place of CVPR 2020 EmotionNet Challenge, 2020.

Research Tuition Scholarship, City University of Hong Kong, 2022.

Research Tuition Scholarship, City University of Hong Kong, 2023.

Miscellany

Hobbies: Erhu, Basketball, Music.
I am a member of Nationalities Music Orchestra of USTC.

Last Updated by Can Wang: Aug. 27 2020