Talks
Advancing Real-World Edge Intelligence
Raleigh, NC, USA, Jan. 2025
ABB Corporate Research, US
Building Reliable Cost-Effective Sparse Models
Online, USA, Nov. 2024
Purdue University, ECE-570
Building Reliable Cost-Effective Sparse Models
Raleigh, NC, USA, Nov. 2024
NC State University, DSC-595
Agentic LLM-Powered Diagnostic Chatbot for SAP Manufacturing
Raleigh, NC, USA, Sep. 2024
ABB Corporate Research, US
The Impact of AI on Our Lives and Beyond (Talk news, in Chinese)
Raleigh, NC, USA, March 2024
Fo Guang Shan Buddhist Temple, North Carolina
Advancing Environmental Strategies: Leveraging Foundation Models for Enhanced Geospatial Analytics and Conservation
Raleigh, NC, USA, March 2024
Forest Carbon Solutions Initiative (FCSI), NC State
How LLMs Work and Cutting-Edge Research on Generative AI
Online, USA, Dec 2023
STARS AI Scholars Program (link)
Sculpting the Future of Collective Growth in Collaborative AI (Talk news)
Microsoft Research Asia, Online, Sep 2023
ACE (Advance, Creativity and Empowerment) Talk
ChatGPT in Corporate Real Estate - Unlocking the Potential (Web & Slides)
Raleigh, NC, USA, Aug 2023
CoreNet Global Carolinas Chapter (link)
Testing Accuracy is Not All You Need: Less Training Cost & More Testing Reliability
Rutgers University, New Brunswick, USA, Feb 2023
Rutgers Efficient AI (REFAI) Seminar (link)
Resource-efficient Deep Learning: Democratizing AI at Scale
Online, USA, June 2022
Pinterest Machine Learning Lunch
Resource-efficient Deep Learning: Democratizing AI at Scale
Online, USA, May 2022
Amazon Search (A9)
Parameter Efficiency: Democratizing AI at Scale (Slides)
Waltham, MA, USA, Dec. 2021
Brandeis University
Chasing Efficiency of Pre-trained Language Models
Redmond, Washington, USA, Jun. 2021
Microsoft Research Lab
BERT Pruning: Structural vs. Sparse (Slides)
Waltham, MA, USA, Apr. 2021
Brandeis University.
BERT, Compression and Applications (Slides)
Mountain View, USA, Apr. 2021
Xpeng Motors
BERT Architecture and Computation Analysis (Slides)
Los Altos, USA, May. 2020
Moffett.AI
Anomaly Precursor Detection via Deep Multi-Instance RNN (Slides)
Princeton, USA, May. 2019
NEC Laboratories America
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