Wenhu Chen
Appointment
Canada CIFAR AI Chair
Solution Network Member
Canadian AI Safety Institute Research Program
Mitigating Dialect Bias
Pan-Canadian AI Strategy
About
Wenhu Chen is a Canada CIFAR AI Chair and a Solution Network member. His research interest lies in natural language processing, deep learning, and multimodal learning. He aims to design models that handle complex reasoning scenarios, such as math problem-solving and knowledge grounding. He is also interested in building more powerful multimodal models to bridge different modalities. He won the prestigious Golden Jubilee Research Excellence Award at the University of Waterloo in 2025. He received the Area Chair Award in AACL-IJCNLP 2023, the Best Paper Honorable Mention in WACV 2021, and the UCSB CS Outstanding Dissertation Award in 2021.
Awards
- Math Golden Jubilee Award (2025)
- AACL-IJCNLP23 Area Chair Award (2023)
- Canada CIFAR AI Chair (2022)
- UCSB CS Outstanding Dissertation Award (2021)
- WACV21 Best Student Paper Honorable Mention (2021)
Relevant Publications
- Li, S., Jin, X., Xuan, Y., Zhou, X., Chen, W., Wang, Y.X., & Yan, X. (2019). “Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting.” NeurIPS 2019.
- Yue, X., Ni, Y., Zhang, K., Zheng, T., Liu, R., Zhang, G., Stevens, S., Jiang, D., ... Chen, W. (2023). “MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.” CVPR 2024.
- Chen, W., Ma, X., Wang, X., & Cohen, W.W. (2022). “Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.” TMLR 2023.
- Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., ... Chen, W. (2024). “MMLU-Pro: A more robust and challenging multi-task language understanding benchmark.” NeurIPS 2024 (Spotlight).
- Chen, W., Wang, H., Chen, J., Zhang, Y., Wang, H., Li, S., Zhou, X., & Wang, W.Y. (2020). “TabFact: A Large-scale Dataset for Table-based Fact Verification.” ICLR 2020.