Zhang Kai Cryo-EM Breakthrough: Yale to USTC | AcademicJobs
Explore Zhang Kai's cryo-EM innovations overturning hypotheses on mitochondrial supercomplexes, his shift from Yale to USTC, and impacts on Chinese higher education.
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Kai Zhang is a Special Research Associate and master’s supervisor in the School of Computer Science and Technology and the School of Data Science at the University of Science and Technology of China. He earned his Ph.D. in Computer Science and Technology from USTC in 2023. His research focuses on artificial intelligence, natural language processing, large language models, knowledge representation and reasoning, and multimodal data mining. Zhang has published more than 60 papers in leading venues including ACL, KDD, SIGIR, AAAI, NeurIPS, ICML, IEEE TKDE, IEEE TAC, and ACM TOIS, with over 40 as first or corresponding author. His work has received recognitions such as best paper nominations at international AI conferences, best student paper awards at Chinese machine learning events, and inclusion in ESI highly cited or hot papers. He holds more than 20 national invention patents.
Zhang serves as a reviewer for journals including IEEE TPAMI, TKDE, ACM TOIS, TKDD, TAC, TNNLS, and TSMC, as well as program committee member for conferences such as ACL, KDD, SIGIR, AAAI, IJCAI, EMNLP, NAACL, SDM, and EACL. He is a member of committees under the China Association for Artificial Intelligence, Chinese Information Processing Society, and Anhui Province AI societies. He has led projects funded by the National Natural Science Foundation of China Young Scientist Fund, Anhui Natural Science Foundation, and USTC youth innovation funds, and maintains collaborations with companies including Tencent, Alibaba, Meituan, ByteDance, and Ant Group. Zhang previously held research intern positions at Alibaba and Meituan. His professional email is kkzhang08@ustc.edu.cn.
Explore Zhang Kai's cryo-EM innovations overturning hypotheses on mitochondrial supercomplexes, his shift from Yale to USTC, and impacts on Chinese higher education.
USTC researchers publish a revolutionary model for dynein-dynactin assembly on microtubules in Nature, revealing roles of MTs and LIS1 in intracellular transport.