Hi there!
I am a Researcher specializing in machine learning and large language models (LLMs). I completed my Ph.D. at VVVVVV University. You can reach me at <xxx> at gmail.com.
google scholar / github / / cv
🔥 News
- 2015.08: New research on Adaptive Neural Networks for Dynamic Environments published in top-tier conference!
- 2015.06: Two papers on Efficient Graph Processing and Scalable Machine Learning accepted by ICAI2015 Findings!
- 2015.02: Paper on Novel Clustering Algorithms accepted at DSCONF 2015 as Oral presentation!
- 2014.11: Work on Improved Classification Techniques selected for Best Paper Award at AICONF2014!
- 2014.08: Excited to join Mountain View University as an assistant professor!
📝 Publications
| [arXiv] | DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning |
| DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu. et al. | |
| arXiv, 2025 | |
| [NeurIPS2020] | Denoising Diffusion Probabilistic Models |
| Jonathan Ho, Ajay Jain, Pieter Abbeel | |
| Neural Information Processing Systems (NeurIPS), 2020 | |
| [arXiv] | Proximal Policy Optimization Algorithms |
| John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov | |
| arXiv, 2017 | |
| [NeurIPS2017] | Attention Is All You Need |
| Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin | |
| Neural Information Processing Systems (NeurIPS), 2017 | |
🎓 Education
- Ph.D. in Computer Science, State University, City, StateSep 2005 – Aug 2010
- B.S. in Computer Science, Public University, City, StateSep 1999 – June 2003
🎖️ Awards & Honors
- Excellence in Machine Learning Research Award2014
- Distinguished Graduate Fellowship, Computer Science Department2013
- Best Paper Award, International Conference on AI Systems2012
- Research Innovation Grant, University Research Council2013
- Conference Participation Award2012
- Peer Review Excellence Recognition2012
- Academic Achievement Scholarship2009
- Merit-Based Graduate Scholarship2008
💼 Professional Experiences
TechCorp Research, Boston, MAJuly 2009 – Dec 2009
- Machine Learning Research Intern, Developed efficient neural network architectures for computer vision applications
- Mentor: Dr. Sarah Johnson
DataSystems Inc., Austin, TXMay 2008 – Aug 2008
- Software Engineering Intern, Built scalable data processing pipelines for recommendation systems
- Mentor: Michael Rodriguez
AI Innovations Lab, Portland, ORSept 2007 – April 2008
- Research Assistant, Implemented graph-based machine learning algorithms for social network analysis
- Mentor: Prof. Jennifer Lee
CloudTech Solutions, Denver, COMay 2007 – Aug 2007
- Data Science Intern, Analyzed large-scale datasets and developed predictive models for business applications
- Mentor: David Kim
📝 Professional Services
Area Chair: MLCONF 2015, ICLR 2014
Program Committee/Reviewer: COMPCONF 2014; DATACONF 2014; ALGOCONF 2013; SYSCONF 2012, 2013; MLCONF 2012, 2013, 2015; AICONF 2011, 2012, 2013, 2014; TECHCONF 2011, 2013; NetConf 2013; STATSCONF 2013; DMCONF 2012; GRAPHCONF 2013;