Generative Intelligent Computing (GIC) Lab
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Ph.D. Students
Li-Chia (Jerry) Chang, NC State
Topic: Agentic LLM-Powered Agents
Muhammad Alahmadi, NC State
Topic: Data-Centric Reliability in LLMs
Kaushik Pillalamarri, NC State
Topic: Multi-Modal Foundation Models
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Master Students
Teddy Chen, NC State
Topic: Implicit Bias in Large Language Models
Homak Patel, NC State
Topic: Reliable Retrieval-Augmented Generation for Education
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Undergraduate Researchers
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Intern Researchers
Xukun Liu, Master at Northwestern University
Topic: Accelerating LLM Decoding
Berwin Chen, Master at University of Birmingham
Topic: Retrieval-Augmented Generation for Scientific Discovery
Shanlin Liu, Master at University of Shanghai for Science and Technology
Topic: Retrieval-Augmented Generation for Scientific Discovery
Huanhuan Ma, Master at Chinese Academy of Sciences
Topic: Trustworthiness Evaluation of LLMs
Zihao Mao, Undergraduate at Wuhan University
Topic: Accelerating Diffusion Models
Feifei Qiao, Master at Tongji University
Topic: Robust Inference in Agentic LLMs
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Alumni
Zhiyuan Peng, Postdoc, 2023-2024, now Meta
Topic: Tool-Augmented Large Language Model
Shengkun Tang, PhD, 2023-2023, now MBZUAI
Topic: Multi-Modal Foundation Models
Chengyuan Liu, PhD, 2022-2024
Topic: Data-Efficient Large Language Models for Education
Bowen Lei, Intern, 2022-2024, now Apple
Topic: Theoretical Foundations of Efficient Learning
Zhengdong Zhang, Intern, 2023-2024, now Amazon
Topic: Reliable Large Language Models for Education
Zihan (Z) Dong, Undergraduate, 2023-2024, now Georgia Tech
Topic: Reliable Large Language Models for Education
Binfeng Xu, Intern, 2023-2023, now Samsung
Topic: Tool-Augmented Large Language Model
Cong Zeng, Intern, 2024-2024, now MBZUAI
Topic: LLM-Generated Content Detection
John Zhu, Master, 2024, now NC State
Topic: Trustworthy Evaluation of LLMs
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