Current frame
Northwestern University PhD candidate researching agentic reinforcement learning
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Zihan Wang
Zihan Wang is a Northwestern University PhD candidate advised by Manling Li whose research focuses on agentic reinforcement learning, model efficiency, and long-context understanding. His official homepage lists prior internships at DeepSeek, Microsoft, and Yutori.
Profile status: updated
Extended note
Zihan Wang is a PhD candidate at Northwestern University advised by Manling Li. His research interests include agentic reinforcement learning, language agents, model efficiency, and long-context understanding. His official CV lists prior research experience at DeepSeek AI and the University of Illinois Urbana-Champaign, along with a B.S. in Engineering from Renmin University of China and an exchange term at UC Berkeley.