🎉 Welcome to Wei Wang's homepage! I am a Computer Science student at Western University and the Vector Institute in Canada, where I have been honing my skills since 2021 under the guidance of Prof. Boyu Wang and Prof. Charles Ling, a Fellow of the Canadian Academy of Engineering. I am also fortunate to receive guidance [4] from Prof. Zhun Zhong at the University of Nottingham. My academic journey began at Tianjin University in China, where I completed my undergraduate studies.
❗️News:
[2024/12] I will be attending NeurIPS 2024 in Vancouver from December 8 to 16, 2024. Feel free to reach out for a coffee chat!
Experiece
2022.11-2024.2 Microsoft Research Asia (MSRA) - Research Internship
Focusing on generalized learning from environments, particularly in dynamic environments that involve domain shifts and environmental delays [4]. I am also engaged in an innovative project that extends goal-conditioned planning to open-goal using diffusion models and VLM/LLM [5]. I am fortunate to be guided by Dr. Dongqi Han and Dr. Xufang Luo, under the esteemed leadership of Dr. Dongsheng Li and Prof. Lili Qiu. My contributions have been recognized with the "Stars of Tomorrow" (Excellent Intern) award.
2020.9-2021.1 ByteDance/TikTok - Research Internship
Working on the application of AI in real online multi-player MOBA games. I am fortunate to be supervised by Shihong Deng. I am also grateful for the insightful advice, guidance, and support from Flood Sung. I appreciate the excellent team atmosphere fostered by our group leader, Xianghao Guo, during my internship. Additionally, my interactions with fellow interns bzb, m++, Haosen Shi, and Yicheng Lu have been profoundly rewarding, providing both professional growth and lasting friendships.
2019.7-2019.11 Horizon Robotics - Research Internship
Developed a deep learning-based motion recognition system specifically for fall detection in videos. An enriching experience that bridged theoretical knowledge with practical application. I am deeply thankful for Ruishan Liu and Min Du's guidance and Jiagang Zhu's help.
Start-up
As a technology company specializing in AI, we offer a range of B2B and B2C services. Our mission is to harness AI's transformative power to fuel growth, efficiency, and innovation. Our expert team delivers tailored AI solutions encompassing Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, and Predictive Analytics. We are always open to collaboration and partnerships to explore new possibilities together. While this endeavor did not succeed as hoped, it offered invaluable lessons that I believe will enhance my career trajectory in the future.
Publications
[6] Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li. “Addressing Signal Delay in Deep Reinforcement Learning”. In: International Conference on Learning Representations (ICLR Spotlight Top 5.01%). 2024. [PDF][Code][Website]
[5] Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li. “Toward Open-ended Tasks Solving in Reinforcement Learning”. In: Conference on Neural Information Processing Systems Workshop (NeurIPS Workshop). 2023. [PDF]
[4] Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Nicu Sebe, Boyu Wang. "Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaption," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF]
[3] Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, and Boyu Wang. "Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments," AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF]
[2] Qiuhao Zeng, Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles Ling, Christian Gagné, Boyu Wang. "Data Augmentation for Domain Generalization in Non-Stationary Environments," AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF]
[1] Changjian Shui, Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wang, Boyu Wang, and Christian Gagné. "Lifelong Online Learning from Accumulated Knowledge," ACM Transactions on Knowledge Discovery from Data (TKDD), 2021. [PDF]
See Google Scholar to access the latest publications.
Horners & Service
Vector Scholarship in Artificial Intelligence: Awarded CAD $17,500 for ranking in the top 0.1% of AI students in province Ontario of Canada.
National Student Challenge Cup: National Award recipient, ranked second province-wide (Top 1%).
National Undergraduate Electronic Design Contest: Earned a Provincial prize, placing in the top 1%.
Peer Reviewer: Contributing to the academic community as a reviewer for top-tier conferences like ICLR, NeurIPS, and AISTATS.
Teaching Assistant: Teaching courses CS2214, CS2210, CS2211, CS9542, CS1026, CS3340, CS3121 at Western University, enhancing my skills in explaining complex concepts and communication.
Contact
📬️ Email: waybaba2ww<at>gmail<a dot here>com
📲 Wechat: waybaba
💼 Linkin: CLICK HERE
💻 Github: https://github.com/waybaba
🌐 Website: waybaba.com
📷 Book a Zoom Meet: Feel free to have a short meeting with me with this nice button bellow !!! (It would be highly appreciated if you can leave your name and the topic you want to talk about :))