S
icheng ZHAO (赵思成)

Ph.D., Postdoc research fellow
EECS, University of California Berkeley
Email: schzhao at gmail dot com

Biography

I am a postdoc research fellow athe Department of Electrical Engineering and Computer Sciences, University of California Berkeley. My supervisor is Prof. Kurt Keutzer. I worked as a postdoc at School of SoftwareTsinghua University, China, from 2016 to 2017, working with Prof. Guiguang Ding.  I obtained the Ph.D. degree at School of Computer Science and TechnologyHarbin Institute of Technology, China, in 2016, under the supervision of Prof. Hongxun Yao. I was a research assistant at School of ComputingNational University of Singapore from 2013 to 2014, advised by Prof. Tat-Seng Chua and Prof. Yue Gao. My research interests include multimedia affective computing, social media analysis, and computer vision, especially focusing on image emotion analysis and related applications. Currently, I start to work on domain adaptation. My research works have been published in top-tier journals such as IEEE TAFFC, TCYB, TMM, TCSVT, TITS, ACM TOMM, and top-tier conferences such as ACM MM, IJCAI, AAAI, CVPR.

News
  • [Call for paper] Signal, Image and Video Processing (SIVP) Special Issue on "Learning Methods for Social Media Computing of Heterogeneous Multimedia Data" [Deadline: 31 January 2019[CFP] 
  • [Call for paper] ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) Special Issue on "Affective Computing for Large-Scale Heterogeneous Multimedia Data" [Deadline: 15 December 2018[CFP] 
  • [Call for paper] Neural Processing Letters (NPL) Special Issue on "Affective Computing of Large-Scale Visual Content: Directions, Methodologies, and Applications" [Deadline: 30 September 2018[CFP] 
  • [Call for paper] ACM MM 2018 Workshop on "MMAC: Multi-Modal Affective Computing of Large-Scale Multimedia Data[Deadline: 21 July 2018[URL[closed]
  • [Call for paper] IEEE VCIP 2018 Special Session on "3D Big Data: Representation, Understanding and Applications" [Deadline: 25 May 2018[URL[closed]
  • [Call for paper] ACM ICMR 2018 Special Session on "Large-Scale 3D Multimedia Analysis and Applications[Deadline extended to: 25 February 2018 23:59 PST[URL] [closed]
  • [Call for paper] Multimedia Tools and Applications Special Session on "Large-Scale 3D Multimedia Analysis and Applications[Deadline extended to: 31 August 2017[CFP] [closed]

Research Experiences

Berkeley DeepDriveBerkeley Artificial Intelligence Research Lab
UC Berkeley: 2017.09 - 

Postdoc research fellow,  Supervisor: Prof. Kurt Keutzer

Domain adaptation, multimedia affective computing

Multimedia Intelligence GroupTsinghua University: 2016.08 - 2017.09

Postdoc research fellow,  Supervisor: Prof. Guiguang Ding

Multimedia affective computing, image captioning

Lab for Media SearchNational University of Singapore: 2013.07 - 2014.06

Visiting student, Supervisor: Prof. Tat-Seng Chua and Prof. Yue Gao

Social media analysis, brand tracking and social event detection

Visual Intelligence Lab, Harbin Institute of Technology: 2009.09 - 2016.07

Research assistant,  Supervisor: Prof. Hongxun Yao

Multimedia affective computing, Image emotion ayalysis and applications


Selected Publications [full list]

Journal Papers:

1. Sicheng ZhaoGuiguang Ding, Yue Gao, Xin Zhao, Youbao Tang, Jungong Han, Hongxun Yao, Qingming Huang. Discrete Probability Distribution Prediction of Image Emotions With Shared Sparse Learning. IEEE Transactions on Affective Computing (TAFFC), 2018. [accepted]

2. Sicheng ZhaoAmir Gholaminejad, Guiguang Ding, Yue Gao, Jungong Han, Kurt KeutzerPersonalized Emotion Recognition by Personality-aware High-order Learning of Physiological Signals. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2018. [accepted]

3. Sicheng Zhao, Yue Gao, Guiguang Ding, Tat-Seng Chua. Real-Time Multimedia Social Event Detection in MicroblogIEEE Transactions on Cybernetics (TCYB), 2018. [accepted]

4. Sicheng Zhao, Hongxun Yao, Yue Gao, Guiguang Ding, Tat-Seng Chua. Predicting Personalized Image Emotion Perceptions in Social Networks. IEEE Transactions on Affective Computing (TAFFC), 2018. [accepted] [data]

5. Guiguang Ding, Wenshuo Chen, Sicheng Zhao, Jungong Han, Qiaoyan Liu. Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation FiltersIEEE Transactions on Intelligent Transportation Systems (TITS) 19(1): 140-150, 2018. [correspondng author]

6. Sicheng Zhao, Hongxun Yao, Yue Gao, Rongrong Ji, Guiguang Ding. Continuous Probability Distribution Prediction of Image Emotions via Multi-Task Shared Sparse RegressionIEEE Transactions on Multimedia (TMM) 19 (3): 632-645, 2017. [data]

7. Yanhao Zhang, Lei Qin, Rongrong Ji, Sicheng Zhao, Qingming Huang, Jiebo Luo. Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 27(3): 635-648, 2017.

Conference Papers:

1. Sicheng Zhao, Xin Zhao, Guiguang Ding, Kurt Keutzer. EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image EmotionsACM International Conference on Multimedia (ACM MM), Oct. 2018, Seoul, Korea. [full paperoral]

2. Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao. Personality-Aware Personalized Emotion Recognition from Physiological SignalsInternational Joint Conference on Artificial Intelligence (IJCAI), Jul. 2018, Stockholm, Sweden. [full paperoral]

3. Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Bjorn W. Schuller, Kurt Keutzer. Affective Image Content Analysis: A Comprehensive SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), Jul. 2018, Stockholm, Sweden. [full paperoral]

4. Hui Chen, Guiguang Ding, Zijia Lin,  Sicheng Zhao, Jungong Han. Show, Observe and Tell: Attribute-driven Attention Model for Image CaptioningInternational Joint Conference on Artificial Intelligence (IJCAI), Jul. 2018, Stockholm, Sweden. [full paperoral]

5. Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang. Implicit Non-linear Similarity Scoring for Recognizing Unseen ClassesInternational Joint Conference on Artificial Intelligence (IJCAI), Jul. 2018, Stockholm, Sweden. [full paperoral]

6. Bichen WuAlvin WanXiangyu YuePeter H. JinSicheng ZhaoNoah GolmantAmir GholaminejadJoseph GonzalezKurt Keutzer. Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9127-9135, Jun. 2018, Salt Lake City, USA. [full paperspotlight]

7. Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han. Temporal-difference Learning with Sampling Baseline for Image CaptioningAAAI Conference on Artificial Intelligence (AAAI), Feb. 2018, New Orleans, USA. [full paper]

8. Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han. Learning Visual Emotion Distributions via Multi-Modal Features FusionACM International Conference on Multimedia (ACM MM), pp. 369-377, Oct. 2017, Mountain View, USA. [full paper]

9. Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han. Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features FusionInternational Joint Conference on Artificial Intelligence (IJCAI), pp. 4669-4675, Aug. 2017, Melbourne, Australia. [full paperoral]

10. Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Jungong Han, Qiang Liu. Reference Based LSTM for Image CaptioningAAAI Conference on Artificial Intelligence (AAAI), pp. 3981-3987, Feb. 2017, San Francisco, USA. [full paperoral]

11. Sicheng Zhao, Hongxun Yao, Yue Gao, Rongrong Ji, Wenlong Xie, Xiaolei Jiang, Tat-Seng Chua. Predicting Personalized Emotion Perceptions of Social ImagesACM International Conference on Multimedia (ACM MM), pp. 1385-1394, Oct. 2016, Amsterdam, the Netherlands. [full paperoral[data]

12. Yue Gao, Sicheng Zhao, Yang Yang and Tat-Seng Chua. Multimedia Social Event Detection in MicroblogInternational Conference on Multimedia Modeling (MMM), pp. 269-281, Jan. 2015, Sydney, Australia. [oralbest paper runner-up award]

13. Sicheng Zhao, Yue Gao, Xiaolei Jiang, Hongxun Yao, Tat-Seng Chua, Xiaoshuai Sun. Exploring Principles-of-Art Features for Image Emotion Recognition. ACM International Conference on Multimedia (ACM MM), pp. 47-56, Nov. 2014, Orlando, USA. [full paperoral]