Xinjie Shen
Research Intern @ Qwen
About
To get general insight of machine learning and seek for interdisciplinary chance.
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United States
Research
Research and Development (R&D), Deep Learning, Scikit-Learn, Group Theory, Document Preparation, Design Programming, Project Bidding, Technology Platforms, PyTorch, Programming Languages, Data Mining, Patent Law, Pattern Recognition, Gene Expression, Signal Processing, Graph Networks, Semantic Markup, Linux Tools, Recalls, Anime
Experience
Research Intern
Qwen
Beijing, China
Post training, long horizon agentic RL and multimodality
Graduate Research And Teaching Assistant
Georgia Institute of Technology
United States
Work with Prof. Larry P. Heck on conversational AI. Building auto grading for nlp model training and evalution. I love teaching.
Founder & Tech Lead
LLMQuant
The open-source AI community building future technology for quantitative finance, with over 60,000 followers worldwide We aim to leverage AI for quantitative research with feasible collection of techniques and solutions. llmquant.com
Researcher
Shanghai Qiji Zhifeng
Applied Scientist
Amazon Web Services (AWS)
Shanghai, China
Trained a Sparse Language Model for information retrieval and released version 3 of the inference-free OpenSearch model on Hugging Face. This series of models achieved 1.8 million downloads per month. Models and methods have been integrated to SenetenceTransformers v5.x
Research Intern
Microsoft
Research on Automatic Research and Development (R&D) and Quantitative Finance Strategy. Our project RD-Agent achieved ~5k stars.
Research Intern
Dartmouth College
Explore the heterophily and oversmoothing in graph neural networks, developing principles for graph-based ML models that are both expressive and generalizable.
Machine Learning Engineer & PM
Tec-Do 2.0
One patents granted, three patents published and two patents under review. Awarded as BEST Project of the year. • Build CTR (Click-through rate)/CVR (Convert-through rate) predication model though GBDT and GNN for the Tec-Do Ads DSP platform, defeating 3rd party (Cusper) SaaS services. Achieved ROI 1.4x from 0.7x. Use DQN Implemented smart bidding module under constraint budget. 30% ROI improvement.
Research Intern
Xi'an Jiaotong University
Research on the graph neural network, geometric representation learning and their applications for RNA, protein, and etc. There paper accepted, two papers are under review.
Education
Georgia Institute of Technology
Machine Learning
South China University of Technology
Artificial Intelligence
Xinjie Shen's Contact Information
Phone
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