Education

• Ph.D. at College of Information Science and Electronic Engineering, Zhejiang University
  Sept 2014 - July 2019       Hangzhou, China
  Supervised by Prof. Zhongfei (Mark) Zhang and Prof. Xi Li.
  Dissertation: "Semantic Understanding-Aware Neural Network Architecture Design for Video Surveillance"
  Successfully defended at June, 2019
  
  
• Visiting Scholar at Language Technologies Institute, School of Computer Science, Carnegie Mellon University
  Jan 2018 - Jan 2019      Pittsburgh, USA
  Supervised by Prof. Alexander G. Hauptmann.
  
  
• Bachelor at College of Information Science and Electronic Engineering, Zhejiang University
  Sept 2010 - June 2014       Hangzhou, China
  Chu Kochen Honors College
  Graduation Thesis: "Feature Learning and Its Applications"

Work Experiences

• Research Fellow at Rapid-Rich Object Search (ROSE) Lab, School of EEE, Nanyang Technological University
  Feb 2021 - Present       Singapore
  Working with Dr. Bihan Wen
  
  
• Research Scientist at Big Data Lab, Baidu Research
  July 2019 - Jan 2021       Beijing, China
  Working with Prof. Dejing Dou and Prof. Jun Huan
  
  
• Research Intern at Big Data Lab, Baidu Research
  Mar 2019 - June 2019       Beijing, China
  Supervised by Prof. Jun Huan.

Publications

1. Semi-Supervised Active Learning with Temporal Output Discrepancy
   Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
   ICCV, 2021
   
   
2. ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
   Rongkai Zhang, Lanqing Guo, Siyu Huang, Bihan Wen
   ACM MM, 2021
   
   
3. ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows [pdf] [supp] [code]
   Jie An*, Siyu Huang*, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo
   CVPR, 2021
   
   
4. Dual Low-Rank Multimodal Fusion [pdf]
   Tao Jin*, Siyu Huang*, Yingming Li, Zhongfei Zhang
   EMNLP Findings, 2020
   
   
5. Neighbours Matter: Image Captioning with Similar Images [pdf]
   Qingzhong Wang, Jiuniu Wang, Antoni Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou
   BMVC, 2020
   
   
6. Generating Person Images with Appearance-aware Pose Stylizer [pdf] [code]
   Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
   IJCAI, 2020
   
   
7. SBAT: Video Captioning with Sparse Boundary-Aware Transformer [pdf]
   Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang
   IJCAI, 2020
   
   
8. Stacked Pooling for Boosting Scale Invariance of Crowd Counting [pdf] [code]
   Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander Hauptmann
   ICASSP, 2020
   
   
9. Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning [pdf]
   Tao Jin, Siyu Huang*, Yingming Li, Zhongfei Zhang
   EMNLP, 2019.
   
   
10. Text Guided Person Image Synthesis [pdf] [supp]
    Xingran Zhou, Siyu Huang*, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang.
    CVPR, 2019.
    
    
11. User-Ranking Video Summarization with Multi-Stage Spatio-Temporal Representation [pdf] [demo]
    Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Junwei Han.
    IEEE T-IP, 2019.
    
    
12. Perceiving Physical Equation by Observing Visual Scenarios [pdf]
    Siyu Huang*, Zhi-Qi Cheng*, Xi Li, Xiao Wu, Zhongfei Zhang, Alexander Hauptmann.
    NIPS Workshop, 2018.
    
    
13. TVT: Two-View Transformer Network for Video Captioning [pdf]
    Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang.
    ACML, 2018.
    
    
14. GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning [pdf] [slides] [poster]
    Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander Hauptmann.
    ACM MM, 2018 (Oral).
    
    
15. Learning to Transfer: Generalizable Attribute Learning with Multitask Neural Model Search [pdf]
    Zhi-Qi Cheng, Xiao Wu, Siyu Huang, Jun-Xiu Li, Alexander Hauptmann, Qiang Peng.
    ACM MM, 2018.
    
    
16. Body Structure Aware Deep Crowd Counting [pdf] [demo]
    Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, Junwei Han.
    IEEE T-IP, 2018.
    
    
17. Deep Learning Driven Visual Path Prediction From a Single Image [pdf] [dataset]
    Siyu Huang, Xi Li, Zhongfei Zhang, Zhouzhou He, Fei Wu, Wei Liu, Jinhui Tang, Yueting Zhuang.
    IEEE T-IP, 2016.
    
    

Contest

• AI Challenger Global Contest, 2017
  Organizers: Sinovation Ventures, ByteDance, Sogou
  Track: English-Chinese Simultaneous Interpretation Competition
  Ranked: 2nd/675 teams [news] [short slides]
  Team Members：Siyu Huang (team leader), Ming Chen, Lei Wang

Chinese Invention Patents

• A text-guided person image generation algorithm. Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Zhongfei Zhang. Approved, 2020. #201910257463.9
  
• A one-dimensional sequence learning based video summarization algorithm. Siyu Huang, Xi Li, Zhongfei Zhang. Approved, 2020. #201710888621.1
  
• A pedestrian body appearance structure based crowd counting algorithm. Siyu Huang, Xi Li, Zhongfei Zhang. Approved, 2020. #201611225785.8
  
• A high-resolution person pose transfer system. Siyu Huang, Haoyi Xiong, Dejing Dou. Filed, 2020. #202010507406.4
  
• A federated learning-based data mining system. Ji Liu, Haoyi Xiong, Siyu Huang, Dejing Dou. Filed, 2020. #202010339533.8
  
• A neural network architecture search algorithm for predicting image attributes. Siyu Huang, Xi Li, Zhongfei Zhang. Filed, 2018. #201810802108.0
  

Invited Talks and Presentations

1. Invited Talk: "Greedy Neural Architecture Search for Multi-Attribute Learning".
   State University of New York (SUNY) at Binghamton, Binghamton, USA. Sept 2018.
   
2. Invited Presentation: "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning".
   ACM International Conference on Multimedia (ACM MM). Seoul, Korea. Oct 2018. [photo]
   
3. Invited Talk: "Text Guided Person Image Synthesis".
   Baidu Research. Beijing, China. Mar 2019.
   
4. Invited Talk: “Deep Cross-Modal Knowledge Mining”.
   Forum for Talented Young Scholar in Computer Science. Zhejiang University, Hangzhou, May 2019.
   
5. Open Course: “NAS with RL and Differentiable NAS in AutoDL”.
   Baidu Create 2019 - Baidu AI Developer Conference. Beijing, July 2019.
   
6. Conference Tutorial: “A Tutorial on Neural Architecture Search”.
   IEEE International Conference on Data Mining (ICDM) Tutorial on Automated Deep Learning: Theory, Algorithms, Platforms, and Applications. Beijing, Nov 2019.
   
7. Open Course: “Automated Deep Learning: Theory and Applications”.
   Baidu World Congress, Branch Forum. Beijing, Sept 2020.
   

Awards

• Outstanding Research. Baidu Research. 2020.
• Excellent Postgraduate Students' Award. Zhejiang University. 2019.
• ACM MM Student Travel Award. ACM SIGMM. 2018.
• National Scholarship for PhD Student. Ministry of Education of the P.R.C. 2017. Awarded to top 1% PhD students.
• Postgraduate of Merit. Zhejiang University. 2017, 2018.
• Award of Honor for Postgraduate. Zhejiang University. 2017, 2018.
• Graduate of Chu Kochen Honors College. Zhejiang University. 2014.
• Excellent Bachelor’s Thesis "Feature Learning and Its Applications". Zhejiang University. 2014.

Professional Services

Senior PC/reviewer: IJCAI'21 (SPC), ICDM'20 (PC member)
Journal reviewer: IEEE T-PAMI, IEEE T-NNLS, IEEE T-IP, IEEE T-MM, IEEE T-CSVT, Neurocomputing
Conference reviewer: IJCAI'22, SIGGRAPH Asia'21, BMVC'21, ACM MM'21, ICCV'21, ACL'21, CVPR'21, AAAI’21, BMVC'20, ICPR'20, ICMLA'20, AAAI’19, ICDM’18