Karl Ni
Part-Time Lecturer
Education
- PhD in Electrical and Computer Engineering, University of California, San Diego
- BS in Electrical and Computer Science, University of California, Berkeley
Biography
Karl Ni is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley, where he imparts critical knowledge in AI/ML courses such as Data Mining. He is known for creating an engaging and inclusive environment where his teaching style, often punctuated with subtle humor, makes complex subjects accessible and interesting. He is committed to fostering high-potential career paths for students, bringing real-world insights from his professional career into the classroom.
In his full-time role, Karl is a staff software engineer at Google Search, where he leads teams developing sophisticated machine learning solutions to personalize the search experience. His distinguished career also includes a tenure as a senior manager and Head of Recommendations Sciences at Etsy, as well as serving as the technical director of Lab41, In-Q-Tel.
Ni’s impactful research background includes work at federally funded institutions such as MIT Lincoln and Livermore Laboratories, specializing in signal processing.
Recent publications
-
Quantifying Exploration Preference for E-Commerce Recommendation
Citation: Amy B. Z. Zhang, Siyun Wang, Raphael Louca, Karl Ni, Diane Hu. (2023). Quantifying Exploration Preference for E-Commerce Recommendation ORSUM@RecSys. https://ceur-ws.org/Vol-3549/paper5.pdf -
Deep Speech Denoising with Vector Space Projections
Citation: J. Hetherly, P. Gamble, M. Barrios, C. Stephenson, and K. Ni, “Deep Speech Denoising with Vector Space Projections,” in Proceedings of Interspeech 2018 -
Sampled Image Tagging and Retrieval Methods on User Generated Content
Citation: K. Ni, K. Zaragoza, Y. Tesfaye, A. Gude, C. Foster, C. Carrano, and B. Chen, “Sampled Image Tagging and Retrieval Methods on User Generated Content,” (Spotlighted) in Proceedings of the British Machine Vision Conference, 9/2017 -
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
Citation: T. Narihira, D. Borth, S. Yu, K. Ni, and T. Darrell, “Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets,” on ArXiv:1511.0638, 11/2015 -
Large-Scale Deep Learning Architectures on the YFCC Dataset
Citation: K. Ni, E. Wang, K. Boakye, D. Borth, R. Pearce, B. Van Essen, B. Chen, “Large-Scale Deep Learning Architectures on the YFCC Dataset,” on archive, arXiv:1502.03409, at http://arxiv.org/abs/1502.03409, 2015