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Hello, I'm a Master's graduate in Data Science from the EIT Digital Master School with my entry university being Université de Nice Sophia Antipolis in France and my exit university Aalto University in Finland. Prior to that, I received my Bachelor of Engineering degree from Yangzhou University, advised by Professor Zhenqiang Bao, where I majored in Software Engineering. I am deeply engaged in the intersection of computer vision, video compression, operations research, and the vast spectrum of machine learning, including deep and reinforcement learning. My professional journey has spanned roles at LiveRamp, Didi's AI labs, Aalto University as a Research Assistant, and Nokia as an External Researcher, accumulating nearly two years of full-time experience. Specifically, I have applied ML algorithms to innovate within the realms of carpooling and video compression, achieving significant advancements in both fields. Beyond my professional pursuits, I thrive on tackling challenges and am committed to leveraging my expertise for practical applications that address real-world problems. My passion lies in not only exploring the theoretical aspects of AI but also in harnessing this knowledge to create impactful, tangible solutions. |
— 2023 —
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Content Adaptive NN-Based In-Loop Filter for VVC
Author: Zhijie He ; Supervisor: Kannala Juho ; Thesis advisor: Cricri Francesco Aaltodoc [Aaltodoc page] [Project page] [Paper] |
— 2022 —
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Pick-Up Point Recommendation Using Users’ Historical Ride-Hailing Orders
Lingyu Zhang, Zhijie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu & Yunhai Wang Wireless Algorithms, Systems, and Applications (WASA 2022) [Project page] [Paper] |
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Users’ Departure Time Prediction Based on Light Gradient Boosting Decision Tree
Lingyu Zhang, Zhijie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu & Yunhai Wang Wireless Algorithms, Systems, and Applications (WASA 2022) [Project page] [Paper] |
— 2019 —
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A Multi-objective Model for Multi-skill Project Scheduling Problem considering Perform
Efficiency
Chong Zhu, Yuan Xue, Zhijie He, Zhenqiang Bao, Zhaoyue Zhang, Kaixuan Hu IEEE International Conference on Industrial Engineering and Systems Management (IESM 2019) [Project page] [Paper] |
— 2018 —
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Research on a Model of Multi-Project Parallel Scheduling with Flexible Competitive
Collaboration
Planning Chong Zhu, Zhijie He, Yuan Xue, Kaixuan Hu, Zhenqiang Bao, Zhaoyue Zhang Management Science and Engineering Vol. 7 No. 4 (December 2018) [Project page] [Paper] |