Zhixiang Ren is currently a research scientist and the head of the "AI for Science Lab" at Peng Cheng Laboratory, as well as a PhD Supervisor at the Southern University of Science and Technology. He received his Ph.D. from University of New Mexico (Albuquerque, USA) in 2018 and has worked at both the University of New Mexico and Sun Yat-sen University. His research interests include deep learning, AI for science, bioinformatics, drug discovery, multimodal large models and AI agents. He has published over 50 top-tier papers, amassed more than 8,000 citations with an H-index of 25. He holds 6 patents and 5 software copyrights. He has received several rewards, including the 2024 AI Innovation Award and 2023 Guangdong Province Science and Technology Progress Award Special Prize. He has led the development of 1 international standard (ITU-T F.748.18) and 2 industry standards (T/AI 118.1—2022, T/AI 118.2—2022) in the field of intelligent computing. He has also directed the artificial intelligence performance evaluation for the ultra-large-scale intelligent computing system "Pengcheng Cloud Brain II," securing multiple championships in the "AIPerf500" list. He serves as an associated editor of "Big Data Mining and Analytics," "CAAI Artificial Intelligence Research," and "Frontiers in Big Data," and is an experienced reviewer for multiple journals, including "IEEE Transactions on Pattern Analysis and Machine Intelligence"," "IEEE Journal of Biomedical and Health Informatics," "Neural Networks," and "Pattern Recognition".

Research Interests

Deep learning, AI for science, bioinformatics, drug discovery, multimodal large models and AI agents.

contact information:jason dot zhixiang dot ren at outlook dot com