Prof. Wenhong Tian
University of Electronic Science and Technology of China, China
Speech Title: Optimizing large AI models: A few Challenging Problems
Abstract: While Large AI (Language) Models (LLMs) have shown remarkable abilities with widespread adoption, they are hindered by significant resource consumption and considerable latency due to autoregressive processing. Researchers are exploring strategies for running LLMs more efficiently. In this talk, we will discuss a few challenging problems on optimizing the large AI models by more efficient training or inference, and are looking forward to finding some efficient solutions.
Wenhong Tian, a full professor, holds a Ph.D. in Computer Science from North Carolina State University (NCSU) in the United States. The director of Advanced Computing Laboratory at the University of Electronic Science and Technology of China (UESTC). His research focuses on optimizing scheduling of computing resources in Cloud computing and AI platforms, as well as deep learning based image recognition and natural language processing and their applications. He is an Excellent Member of the Chinese Computer Society (CCF) and IEEE Senior Member. He has successively led one general project of the National Natural Science Foundation of China and four international regional cooperation projects, as well as one of the first batch of national key research and development projects for artificial intelligence by the Ministry of Science and Technology of 2030, and more than 20 other projects; In recent years, more than 50 invention patents have been applied for, and more than 20 invention patents have been granted in China and 1 patent has been granted in the United States; Published over 100 high-level papers as the first or corresponding author, and edited 9 Chinese and English monographs. After nearly 20 years of deep cultivation in the field of industry university research cooperation, it has produced good social and economic benefits. In 2023, it was awarded the "Spark Award" by Huawei and was one of the nine winners of UESTC.
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