Sep. 2014 - Aug. 2019 Ph.D. Software Engineering Major School of Software, Tsinghua University  

Sep. 2010 - Aug. 2014 B.Eng. Computer Software Major School of Software, Tsinghua University

July 2023 – Present  Assistant Researcher, National Research Center for Information Technology, Tsinghua University

July 2019 - June 2023  Algorithm Engineer, JD.com

Reviewer for several top AI conferences and journals, including ICML, ICLR, IJCAI, AAAI, ICCV, TIP, etc.

Member of the Metaverse Special Committee, Chinese Association for Artificial Intelligence (CAAI)

（1）Machine Learning

（2）Multimodal Learning

（3）Reinforcement Learning

The main research directions during my PhD were computer vision and reinforcement learning. I served as the model and algorithm lead in the development of the domestically developed AI Go system, Golaxy, based on reinforcement learning, which has won multiple world championships in computer Go. I also conducted research on e-commerce search and recommendation algorithms at JD.com, with a focus on the application of reinforcement learning in traffic distribution algorithms. Currently, I am primarily engaged in research in machine learning and multimodal large models. I am involved in several key research projects funded by the National Natural Science Foundation of China (NSFC) and the Ministry of Science and Technology (MOST), and I am responsible for various industry-sponsored projects. I have published 9 papers in important academic journals and conferences in the field of artificial intelligence and have been granted 1 invention patent.

(1) First Prize of China Electronics Society (CES) Science and Technology Progress Award (2024)

（1）Published Papers:

[1] Zhao, Xin and Guiguang Ding. “Query expansion for object retrieval with active learning using BoW and CNN feature.” Multimedia Tools and Applications 76 (2016): 12133 - 12147.

[2] Zhao, Xin et al. “TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets.” International Joint Conference on Artificial Intelligence (2017).

[3] Zhao, Xin et al. “Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning.” International Joint Conference on Artificial Intelligence (2018).

[4] Zhao, Xin et al. “Recurrent Attention Model for Pedestrian Attribute Recognition.” AAAI Conference on Artificial Intelligence (2019).

[5] Guo, Yuchen et al. “On Trivial Solution and High Correlation Problems in Deep Supervised Hashing.” AAAI Conference on Artificial Intelligence (2018).

[6] Zhao, Sicheng et al. “EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions.” Proceedings of the 26th ACM international conference on Multimedia (2018): n. pag.

[7] Sang, Liufang et al. “MEIAH: Mixing explicit and implicit formulation of attributes in binary representation for person re-identification.” Multimedia Tools and Applications 78 (2019): 27533 - 27551.

[8] Zhao, Sicheng et al. “Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning.” IEEE Transactions on Affective Computing 11 (2020): 574-587.

[9] Xu, Tongkun et al. “A General Re-Ranking Method Based On Metric Learning For Person Re-Identification.” 2020 IEEE International Conference on Multimedia and Expo (ICME) (2020): 1-6.

（2）Patents Granted:

[1] Ding Guiguang; Zhao Xin; Pedestrian Attribute Recognition Network and Technology Based on Recurrent Neural Network Attention Model, May 20, 2022, China, Patent No. ZL201810616398.X