As I gear up for my second year at Northeastern University, I reflect on my incredible journey so far. One of the standout moments was my Machine Learning Engineer Co-op experience at Lendbuzz, where I integrated vLLM into systems, achieving a 175% inference speedup.
Iโm currently immersed in exciting robotics and AI research at:
- ๐ค The Helping Hands Lab under Dr. Robert Platt, advancing robotic grasping and manipulation systems.
- ๐งถ Information Experience and Accessibility Lab at UIUC with Dr. Rachel F. Adler, enhancing fintech and mHealth accessibility for older adults.
- ๐ก As a Teaching Assistant for ENGR0201, I have designed and launched an innovative tutorial course:
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๐ค Invited Talk: Presented at Shanghai Jiao Tong University on "Enhancing Robotic Manipulation with Vision-Language and Generative Models." ๐ Check the recording here:
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๐ CoRL 2024 Papers Accepted:
- ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter.
- Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies.
Feel free to reach out!
โจ Whether for collaboration, brainstorming, or just exchanging ideas, Iโd love to connect and explore new possibilities together. ๐ก
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๐ฑ I'm currently exploring the exciting field of robotics, aiming to leverage my skills in information systems and data analysis to contribute to innovative solutions. Additionally, I am actively engaged in HCI research, focusing on enhancing user experience and accessibility in digital technologies.
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๐ Sharing insights and articles on platforms like:
I am trying to consolidate all my articles on Notion for better access. -
๐บ Follow me on:
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โก Fun fact: Passionate about robotics, AI, and everything tech.
- ๐ป Machine Learning Engineer Co-op at Lendbuzz
- ๐ฅ Technical Manager at Zhejiang Chongxiao Zhong Han Medical Technology Co
- ๐ค Research Assistant at the Information Experience and Accessibility Lab, UIUC
- ๐ค Research Assistant at The Helping Hands Lab, Northeastern University
- ๐ค Research Assistant at CHATS Lab(Conversation, Human-AI Technology, Security)
- ๐ Research Assistant at Wenzhou University of Technology
- ๐ Research Assistant at Institute of Modeling and Data Mining, Wenzhou University
- ๐ Technical Leader at MIE DEMO Studio
- ๐ฐ Technical Leader at Wenzhou Bopu Institute of Big Data
- AAAI 2025 Workshop WMAC
- ICLR 2025
- CoRL 2024 Workshop Assembly
- CoRL 2024 Workshop LEAP
- ๐ CUDA Optimization
- ๐ LendingClub Analysis
- ๐ป GraspNet and Pointnet2 PyTorch Upgrade (v1.13.1) - Our main contribution is upgrading GraspNet and Pointnet2_PyTorch to the latest PyTorch version (v1.13.1). This version consolidates all necessary fixes and improvements, providing a stable and reliable implementation.
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Before starting my graduate studies at Northeastern University, my academic and professional journey centered around full-stack development while also exploring diverse areas of research and technology. During my undergraduate years, my coursework focused heavily on full-stack development, and I applied these skills to projects at Wenzhou University of Technology, Wenzhou Bopu Institute of Big Data, and MIE DEMO Studio. Notable achievements included public opinion analysis, data-driven research, and developing a volunteer management platform, which was recognized as a national innovation project.
After graduation, I worked as a Technical Manager and Project Leader at Zhejiang Chongxiao Zhong Han Medical Technology Co., where I led full-stack development projects. Key contributions included creating a VC++-based database integration tool and a Springboot+Vue electronic invoice management system, achieving an 80% improvement in operational efficiency.
Alongside my primary focus on full-stack development, I also explored other areas such as sentiment analysis, knowledge graph construction, and user behavior modeling, broadening my technical expertise and research interests.
In the early phase of my graduate studies, I joined the CHATS Lab at Northeastern University, where I worked on chatbot-related projects, contributing to advancements in conversational AI systems.
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Mastering CartPole with Enhanced Deep Q-Networks: An In-depth Guide to Equivariant Models
[Note] Group Equivariant Deep Learning
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