Yuchong Geng

I am a Ph.D. candidate in Electrical and Computer Engineering at Cornell University, advised by Prof. A. Kevin Tang. My research explores cognitively inspired learning systems that discover and reason with conceptual knowledge, aiming to align machine learning with human cognition processes.

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News

• 01/2026: Our paper has been accepted to TMLR.
• 12/2025: Completed my internship at Qualcomm in San Diego 🌴.
• 07/2025: Passed my A Exam and advanced to PhD candidacy at Cornell ECE.
• 07/2022: I will continue my education at Cornell as a PhD student in the School of ECE.
• 11/2021: I gave a talk at CoRL 2021 in London, UK.
• 10/2021: A paper about my research work during my MEng study at Cornell has been accepted to CoRL 2021.

Education

• Ph.D. in Electrical and Computer Engineering, Cornell University
• M.Eng. in Electrical and Computer Engineering, Cornell University
• B.S. in Electrical Engineering, University of California, Davis

Industry Experience

• Research Intern, Qualcomm — San Diego, CA (2025)

Research

My research focuses on building concept-centric and cognitively grounded learning systems that aim to bridge modern machine learning with human cognition. My goal is to design learning frameworks that can discover patterns from data, organize them into persistent conceptual knowledge, and reuse this knowledge to generalize across tasks and modalities.

Humans reuse knowledge across modalities and tasks. This project builds ML systems that do the same by learning reusable concepts in a shared space and connecting multiple modalities through lightweight projection modules.

Robots operating in different environments learn to identify, value, and exchange rare but important experiences without centralized data aggregation.

Teaching

• ECE 3100: Introduction to Probability and Inference for Random Signals and Systems
• ECE 4450/5660: Computer Networks and Telecommunications