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Vector Institute for Artificial Intelligence

Mohamad Moosavi: Accelerating the search for climate solutions with AI A strategic blueprint for safe health AI implementation: Your 2026 roadmap Vector Institute awards 100 scholarships to Ontario’s top AI graduate students Agentic AI evaluation strategies Hassan Ashtiani: Building trustworthy AI through mathematical foundations Vector researchers advance representation learning and deep learning research at ICLR 2026 Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care Demo Day: How the Vector Institute helps Canadian startups turn innovative ideas into commercial reality The New Cartography of the Invisible Vector researchers advance AI frontiers with 80 papers at NeurIPS 2025 New study reveals AI’s $100B economic impact across Canada, with Ontario leading the charge When smart AI gets too smart: Key insights from Vector’s 2025 ML Security & Privacy Workshop Vector Institute names 13 new Faculty Members, expanding core research leadership across Ontario Vector researchers dive into deep learning at ICLR 2025 When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench Vector Institute 2024-25 annual report: Where AI research meets real-world impact Vector researchers tackle real-world AI challenges at ICML 2025 Ontario’s AI ecosystem: fueling real economic growth with record number of jobs and private investments Transforming Youth Mental Health Support: FAIIR’s AI-Powered Crisis Response Model Vector Institute awards up to $2.1 million in scholarships to Ontario’s top AI graduate students AI Weather Forecasting Breakthrough: How Canadian Innovation is Transforming Climate Prediction | Aardvark Weather Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning Vector Institute Announces the Appointment of Glenda Crisp as President and CEO Vector Institute Unveils Comprehensive Evaluation of Leading AI Models State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models Real World Multi-Agent Reinforcement Learning – Latest Developments and Applications Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development Leveraging Large Language Models for More Efficient Systematic Reviews in Medicine and Beyond Global AI Alliance for Climate Action funding announcement
Wenhu Chen, a leader in natural language processing, is V...
Ian Gormely · 2021-06-04 · via Vector Institute for Artificial Intelligence

June 4, 2021

Wenhu Chen is the latest Faculty Member to join the Vector Institute, a co-hire with the Cheriton School of Computer Science at the University of Waterloo where Chen will work as an assistant professor beginning in the fall of 2022. Before joining Vector and the University of Waterloo in 2022, Chen will spend a year working as a research scientist in Google Research. 

Chen, a leader in the field of natural language processing (NLP), received his Ph.D. from the University of California, Santa Barbara, advised by William Yang Wang and Xifeng Yan. He previously interned at multiple companies including Google Research, Microsoft AI & Research, Samsung Research America, eBay Research. He was recognized as the top reviewer in NeurIPS 2019 and received the Workshop on Applications for Computer Vision (WACV) best-student paper honorable mention in 2021.

His research interests include NLP, deep learning, and knowledge representation. “I think the most interesting part about AI/ML is the way it can simulate how our human brains are working,” says Chen. “We can build models with AI/ML technology that can learn, reason, decide, and generalize like our human brains to handle very complex inputs.” 

Still, he believes that existing technology lags behind human brains, especially in areas like robustness, explainability, and generalization. “I would like to explore more in this direction to help improve the current AI/ML techniques, especially in NLP.” He hopes to build a more powerful virtual assistant that can understand human language and communicate with humans to accomplish various tasks. 

Chen is a highly prolific and impactful researcher who has already made significant advances in neuro-symbolic reasoning for explainability, multi-hop and single hop reasoning for inference from heterogeneous data, and externalizing factual knowledge in language modelling. 

Chen points to access to students, funding, and computer resources at Vector, and the strong computer science department with prestigious faculty at the University of Waterloo as key factors in his choice. “These advantages combined pushed me to make a very firm decision to come to Vector and the University of Waterloo.”