As a Senior R&D Engineer of NextEvo Team (previously part of Artificial Intelligence Department) at Ant Group, I apply my 7+ years of expertise in digital signal processing, computer vision, and multimodal understanding to create innovative and award-winning AI products (e.g. 定损宝, awarded Shenzhen 2018 Fintech Award and 亿亩田, awarded CCF 2022 Technology Advancing Award). I am also an executive member of Wuhan University - Ant Group United Laboratory, where I collaborate with leading researchers and engineers to advance the state-of-the-art in artificial intelligence. I have a strong academic background in communication system and computer science, with a Master degree from Swiss Federal Institute of Technology in Lausanne (EPFL) and a Bachelor degree with honors from Zhejiang University. I have also gained valuable experience working in multinational corporations and cutting-edge start-ups in Europe, such as Sony and Tractable Ltd. My research interests include artificial intelligence, computer vision and multimodal understanding and I have published several papers in prestigious conferences and journals, as well as obtained multiple patents and certifications in these fields. I am passionate about solving challenging problems and creating impactful solutions that can benefit various domains and society.
1. ICASSP 2015: Xin Guo, Stefan Uhlich, Yuki Mitsufuji, NMF-based blind source separation using a linear predictive coding error clustering criterion
2. AAAI 2020: Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu, Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors
3. CVPR 2023: Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu, Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
4. IGARSS 2023: Yu Zhao, Xin Guo, Liheng Zhong, Jian Wang, Jingdong Chen, Wall-to-Wall Above-Ground Biomass Estimation with Alos-2 Palsar-2 L-Band SAR Data and GEDI
5. ICCV 2023: Kaixiang Ji, Feng Chen, Xin Guo, Yadong Xu, Jian Wang, Jingdong Chen, Uncertainty-guided Learning for Improving Image Manipulation Detection
6. NeurIPS 2023: Kun Huang, Xin Guo, Meng Wang, Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation
7. CVPR 2024: Xin Guo*, Jiangwei Lao*, Bo Dang*, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li, SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
7. CoRR 2024: Chuanji Shi, Yingying Zhang, Jiaotuan Wang, Xin Guo, Qiqi Zhu, Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior
1. US10657973B2: Xin Guo, Stefan Uhlich, Yuhki Mitsufuji, Method, apparatus and system
2. US10943126B2: Xin Guo, Yuan Cheng, Chen Jiang, Method and apparatus for processing video stream
3. US11216690B2: Xin Guo, Yuan Cheng, Jun Huang, System and method for performing image processing based on a damage assessment image judgement model
4. US10984293B2: Xin Guo, Yuan Cheng, Chen Jiang, Zhihong Lu, Image processing method and apparatus
5. US11049334B2: Haitao Zhang, Juan Xu, Jinlong Hou, Jian Wang, Xin Guo, Danni Cheng, Yue Hu, Bokun Wu, Yanqing Chen, Picture-based vehicle loss assessment
6. US010846556B2: Jinlong Hou, Haitao Zhang, Xin Guo, Juan Xu, Jian Wang, Yuan Cheng, Danni Cheng, Vehicle insurance image processing method, apparatus, server, and system
7. US11151384B2: Haitao Zhang, Jinlong Hou, Xin Guo, Yuan Cheng, Jian Wang, Juan Xu, Fan Zhou, Kan Zhang, Method and apparatus for obtaining vehicle loss assessment image, server and terminal device
8. US10817956B2: Haitao Zhang, Juan Xu, Jinlong Hou, Jian Wang, Xin Guo, Danni Cheng, Yue Hu, Bokun Wu, Yanqing Chen, Image-based vehicle damage determining method and apparatus, and electronic device
Teaching Assistant: Pattern Classification and Machining Learning (2013)
Swiss Federal Institute of Technology in Lausanne (EPFL), Prof. Matthias Seeger
Reviewer Service: CVPR 2024, ICME 2024, ICPR 2024, KDD 2024, TGRS
Interview:
1. Dingsunbao: an automatic car damage assessment system
Radio Television Suisse in 2018, from 2:21:09 to 2:22:12
2. Dingsunbao: AI-based Car Damage Assessment System
Alipay-NUS Enterprise Social Innovation Challenge(ANSIC) in 2018, Malaysia
Competition:
1. KDD CUP 2022 (Amazon ESCI Challenge)
Ranked 16th@Task1 and 13th@Task2, among 1699 participants
2. ATEC 2022
Co-organizer of the competition and Bilibili show
2008: TOSHIBA Scholarship (Donated by Toshiba, awards 25 undergraduates each year in China)
2008-2012: Scholarship for Outstanding Students by Zhejiang University
2010: Scholarship for National Talents Program
2012: Outstanding Graduates by Zhejiang University (Graduated with honors)
2015: IEEE Signal Processing Society Travel Grant
2020: Alibaba Chengdian Annual Philanthropy Award
2023: Ant Group T-Star Award (Top 10 Innovations among Ant Group's all tech projects from 2022)
Please contact me for CV.
With the development of modern LLMs (i.e. Large Languege Models), we’ve reached the turning point that the carefully trained model is more knowledgeable than most human-beings to some extent. The emergance of ChatGPT and recently published GPT4.0 sheds light on building Artificial General Intelligence in a feasible way 
In this blog, I would like to briefly introduce GPT-series and discuss its current limitations...
Senior R&D Engineer
@ Ant & Alibaba Group
Research Engineer
@ Tractable Ltd.
Master Degree @ EPFL
Research Intern @ Sony
Research Intern @ nViso
Bachelor Degree
@ Zhejiang University
For any queries regarding AI technologies and job opportunities, please contact