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Di Wu, Ph.D.
Associate Professor @ Concordia, Industrial Engineering Department
Adjunct Professor @ McGill, Electrical and Computer Engineering Department
About Me
About Me
Di is an associate professor at Concordia University and an Adjunct Professor at McGill University. He was a senior staff research scientist at Samsung AI Center Montreal, where he led the LLM Optimization team and AI for Telecommunication team. Before joining Samsung, he did postdoctoral research at Montreal MILA and Stanford University. He received his Ph.D. degree from McGill University, Montreal, Canada, in 2018 and his MSc degree from Peking University, Beijing, China, in 2013. Di also holds a bachelor’s degree in microelectronics and a bachelor’s degree in economics. At Samsung AI Center Montreal, Di received the All-Star Award and the Rock-Star Award and was recognized as the top performer for three consecutive years. Di’s research interests mainly lie in reinforcement learning, transfer learning, meta-learning, and multitask Learning. He is also interested in leveraging such algorithms to improve real-world systems (e.g., Power Grids, Communication Systems, and Transportation Systems). Di has published more than 100 papers in top venues, including flagship domain journals (e.g., IEEE Transactions on Smart Grid, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Transportation Electrification, IEEE Journal on Selected Areas in Communications, Journal of Machine Learning Research) and top-tier AI conferences (e.g., NeurIPS, ICML, AAAI, IJCAI, ICRA). Di also holds more than 20 US patents on AI applications, such as forecasting, decision-making, load balancing, and energy saving.
Di is an associate professor at Concordia University and an Adjunct Professor at McGill University. He was a senior staff research scientist at Samsung AI Center Montreal, where he led the LLM Optimization team and AI for Telecommunication team. Before joining Samsung, he did postdoctoral research at Montreal MILA and Stanford University. He received his Ph.D. degree from McGill University, Montreal, Canada, in 2018 and his MSc degree from Peking University, Beijing, China, in 2013. Di also holds a bachelor’s degree in microelectronics and a bachelor’s degree in economics. At Samsung AI Center Montreal, Di received the All-Star Award and the Rock-Star Award and was recognized as the top performer for three consecutive years. Di’s research interests mainly lie in reinforcement learning, transfer learning, meta-learning, and multitask Learning. He is also interested in leveraging such algorithms to improve real-world systems (e.g., Power Grids, Communication Systems, and Transportation Systems). Di has published more than 100 papers in top venues, including flagship domain journals (e.g., IEEE Transactions on Smart Grid, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Transportation Electrification, IEEE Journal on Selected Areas in Communications, Journal of Machine Learning Research) and top-tier AI conferences (e.g., NeurIPS, ICML, AAAI, IJCAI, ICRA). Di also holds more than 20 US patents on AI applications, such as forecasting, decision-making, load balancing, and energy saving.
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