Mr. Haowen Wang | Recommendation System| Best Researcher Award

Haowen Wang is an AI researcher and data scientist specializing in machine learning and computational science. He holds a Master’s from Imperial College London and a Bachelor’s from Zhejiang University. Currently an Algorithm Researcher at Alipay, he previously worked at Tencent on recommendation and search algorithms. His research focuses on multi-task learning, causal inference, and deep learning, with publications in SIGKDD, ICLR, and ICONIP. He has won multiple awards, including first place in Kaggle’s “X-RAY Classification” competition.

Mr. Haowen Wang | AntGroup | China

🎓Education

Haowen Wang obtained his Master of Applied Computational Science and Engineering from Imperial College London in 2021 with Merit. Before that, he completed his Bachelor of Engineering in Energy and Environment at Zhejiang University in 2020, where he was recognized as an Outstanding student.

👨‍🏫Experience

Currently, Haowen Wang is an Algorithm Researcher at Alipay, Alibaba Group, where he has developed advanced recommendation systems, improved diversity control, and proposed large-scale model tuning frameworks for multi-modal and multi-task learning. Prior to this, he worked as a Data Scientist at Tencent in Shenzhen and Beijing, where he was responsible for designing data warehouses, improving recommendation algorithms, and conducting large-scale data analysis to enhance user engagement. His experience includes optimizing search algorithms, user retention strategies, and recommendation systems through machine learning techniques and data-driven decision-making.

🏆Awards and Recognitions

Haowen Wang has earned several prestigious awards, including first place in Kaggle’s “X-RAY Classification” competition in 2021 and the championship of the KPMG Global Idea Challenge Greater China in 2020. He also won first place in the 12th National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction in 2019, as well as third prize in the China University Students Mechanical Engineering Innovation and Creative Competition. Additionally, he was recognized as a top 10% member of the Excellent Engineer Plan in 2018.

💡Skills and Certifications

With a strong background in artificial intelligence and data science, Haowen Wang possesses expertise in machine learning, deep learning, neural networks, data engineering, and computational modeling. He is proficient in Python, Scala, Spark, SQL, and various AI frameworks. His skills extend to advanced algorithm development, data assimilation, and uncertainty quantification, with practical experience in implementing AI-driven solutions in real-world industrial applications.

🔬 Research Focus

His research primarily revolves around machine learning, artificial intelligence, and data science, with a strong emphasis on recommendation systems, uplift modeling, causal inference, and multi-task learning. He has made significant contributions to areas such as graph-based embedding for click-through rate prediction, multi-modal document question answering, and Bayesian optimization for sensor development. His expertise extends to deep learning applications in industrial AI and computational science.

🌎Conclusion

Given his extensive publication record, impactful research, interdisciplinary collaborations, and significant contributions to AI and data science, Haowen Wang is highly suitable for the Best Researcher Award. His work exemplifies innovation, scientific excellence, and practical relevance, making him a deserving candidate for this recognition.

📖Publications

GACE: Learning Graph-Based Cross-Page Ads Embedding for Click-Through Rate Prediction
Authors: Haowen Wang, Yuliang Du, Congyun Jin, Yujiao Li, Yingbo Wang, Tao Sun, Piqi Qin, Cong Fan
Journal: Communications in Computer and Science (Book chapter, 2024)
Navigating the complexity of hybrid materials without structural dependency: PerovGNN as a map
Authors: Longhan Zhang, Temesgen Muruts Weldengus, Yu Meng, Siyuan Xu, Zhaoliang Lei, Haowen Wang, Yiteng Zhai, Yao Yang, Ruixuan Song, Jing Jiang
Journal: Acta Materialia (2024-12)
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning
Authors: Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan et al.
Journal: Conference paper (2024-08-25)
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Authors: Haowen Wang, Tao Sun, Cong Fan, Jinjie Gu
Journal: Preprint (2023)
From Beginner to Expert: Modeling Medical Knowledge into General LLMs
Authors: Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen et al.
Journal: Preprint (2023)

Haowen Wang | Recommendation System | Best Researcher Award