I am a senior algorithm engineer at Apsara Lab, Alibaba Cloud Intelligence (former City Brain Lab of Damo Academy, Alibaba Group). Before that, I received my Ph.D. degree at the College of Computer Science and Technology, Zhejiang University (浙江大学) and also the State Key Laboratory of CAD & CG. I was under the supervision of Prof. Xiaofei He and Prof. Deng Cai. 

My research interests include Reinforcement Learning, Multimodal Large Language Model, Convex and Non-convex Optimization.  If you have any interesting idea and look for partner, welcome to contact me.

Reinforcement Learning for Reasoning  (from October, 2024 to Now at Apsara Lab, Alibaba Cloud Intelligence).

Multimodal Large Language Model (from July, 2023 to Now at Apsara Lab, Alibaba Cloud Intelligence).

Contrastive Learning, Imitation Learning  (from January, 2021 to July, 2023 at Damo Academy, Alibaba Group).

Anomaly Detection (from July, 2020 to December, 2020 at Damo Academy, Alibaba Group).

3D Scene Understanding from single image (from November, 2018 to November, 2019 under the supervision of Prof. Jia Deng).

Automatic Pilot and concern on Object Detection based on LiDAR and RADAR (during my internship in FABU from October, 2017 to June, 2018).

Deep Unsupervised Learning, Variational Auto-encoder and Bayesian Matrix Factorization (from August, 2016 to September, 2017).

Character Segmentation and Precise Regression of Car License Analysis (from August, 2015 to April, 2016).

09/2015-06/2022      Ph.D. of Computer Science, Zhejiang University

12/2018-12/2019     Visiting Student at PVL lab of Department of Computer Science, Princeton University

09/2011-06/2015     B.S. of Mathematics and Applied Mathematics, Zhejiang University (Ranked Top 10)

First-class scholarship for outstanding students, 2012

Excellent student awards, 2012 - 2015

Kuanjeong educational foundation scholarships, 2012 - 2015 (Top 0.5%)

Outstanding graduates of Zhejiang University, 2015 

Outstanding students for postgraduate students, 2016 - 2017

1. Xin Guo, Boyuan Pan, Deng Cai, and Xiaofei He. Robust Asymmetric Bayesian Adaptive Matrix Factorization. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17).

2. Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Jiajun Bu, Yu Zhu, and Deng Cai. Device-Aware Rule Recommendation for the Internet of Things. In Proceedings of the 2018 ACM on Conference on Information and Knowledge Management (CIKM 2018).

3. Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, and Xian-Sheng Hua. Discriminative-Generative Dual Memory Video Anomaly Detection. arXiv:2104.14430

4. Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, and Xian-Sheng Hua. Urban Traffic Light Control via Active Multi-agent Communication and Supply-Demand Modeling. IEEE Transactions on Knowledge and Data Engineering (TKDE 2021).

5. Xin Guo, Zhengxu Yu, Chao Xiang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, and Xian-Sheng Hua. Out-of-distribution Generalization via Partial Feature Decorrelation. arXiv:2007.15241

6. 华先胜，黄建强，金仲明，赖百胜，徐骏凯，韦东旭，郭鑫。《城市大规模视觉智能综述》，人工智能（综述分析），2021年第五期。

Xian-Sheng Hua, Jianqiang Huang,  Zhongming Jin, Baisheng Lai, Junkai Xu, Dongxu Wei, Xin Guo. An Overview of Urban Large-Scale Visual Intelligence. Artificial Intelligence-View, 2021.05, Pages 7-16. (Chinese Mandarin)

7. Luping Li, Xin Guo, Yang Liu, Zhongming Jin, Xing Su, Jieping Ye. Physics-infused Intention Network for Crowd Simulation. Under review, 2024

8. Xin Guo. Weiler Athenton++: An improved Algorithm of the Weiler Athenton. Algorithm Report, 2024

9. Xun Liang, Xin Guo, Zhongming Jin, Jieping Ye, Weihang Pan, Penghui Shang, Deng Cai, Binbin Lin. Enhancing Spatial Reasoning. Under review, 2025