Zicheng Liu is a senior director of GenAI at AMD. He is building a team for large scale foundation model training including large language models, large multimodal models, and image/video generation models.
Recent work:
Introducing Instella-Long: A fully Open Language Model with Long-Context Capability
TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe Style Games, arXiv:2506.10209
Introducing Instella: New State-of-the-art Fully Open 3B Language Models
Instella-VL-1B: First AMD Vision Language Model
Agent Laboratory: Using LLM Agents as Research Assistants
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer, CVPR 2025
Introducing the First AMD 1B Language Models: AMD-OLMo
His team is hiring scientists and engineers at all levels. His team is also hiring research interns.
Prior to joining AMD, he was a partner research manager at Microsoft Azure AI. Zicheng Liu joined Microsoft Research in 1997. Prior to that, he worked at Silicon Graphics where where he developed the trimmed NURBS tessellator shipped in both OpenGL and the OpenGL Optimizer.
Zicheng Liu has served in the technical committee for many international conferences. He was a member of the Audio and Electroacoustics Committee of IEEE Signal Processing Society. He is the chair of the Multimedia Systems and Applications Technical Committee of IEEE CAS society. He is a steering committee member of IEEE Transactions on Multimedia. He is the Editor-in-Chief of Journal of Visual Communications and Image Representation, and an associate editor of Machine Vision and Applications. He served as a guest editor of IEEE Transactions on Multimedia, and a guest editor of IEEE Multimedia Magazine. He is an affiliate professor in the department of Electrical Engineering, University of Washington. He was an IEEE distinguished lecturer from 2015-2016. He won APSIPA Industrial Distinguished Leader award. He is a fellow of IEEE.