World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
16377
World Ranking
8580
National Ranking
3673

Overview

Hao Ma is affiliated with Facebook in the United States. Their research contributions span multiple areas within computer science and engineering, with a focus on artificial intelligence, computer vision, computational mechanics, statistical and nonlinear physics, and control and systems engineering.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Their work further explores several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering

Hao Ma's research topics cover a variety of specialized subjects, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Model Reduction and Neural Networks
  • Multimodal Machine Learning Applications
  • Nuclear Engineering Thermal-Hydraulics
  • Fluid Dynamics and Turbulent Flows
  • Heat Transfer Mechanisms

The scientist has authored numerous papers across leading venues. Key recent publications include:

  • "Conv-Linformer: Boosting Linformer's Performance with Convolution in Small-Scale Settings" (2025), arXiv (Cornell University)
  • "CLEAR: Contrastive Learning for Sentence Representation" (2020), arXiv (Cornell University)
  • "Entailment as Few-Shot Learner" (2021), arXiv (Cornell University)
  • "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning" (2022), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Luna: Linear Unified Nested Attention" (2021), arXiv (Cornell University)

Publications are concentrated especially in arXiv (Cornell University) with thirteen papers, alongside contributions to the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics and specialized journals such as Acta Astronautica, Water, and Communications of the ACM.

Frequent co-authors collaborating with Hao Ma include:

  • Sinong Wang
  • Madian Khabsa
  • Oskar Haidn
  • Xiangyu Hu
  • Belinda Z. Li

Their collaborative network demonstrates consistent partnerships with researchers active in machine learning, natural language processing, and related computational disciplines.

Best Publications

  • Recommender systems with social regularization

    Hao Ma;Dengyong Zhou;Chao Liu;Michael R. Lyu

  • SoRec: social recommendation using probabilistic matrix factorization

    Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King

  • Learning to recommend with social trust ensemble

    Hao Ma;Irwin King;Michael R. Lyu

  • QoS-Aware Web Service Recommendation by Collaborative Filtering

    Zibin Zheng;Hao Ma;M R Lyu;I King

  • An Overview of Microsoft Academic Service (MAS) and Applications

    Arnab Sinha;Zhihong Shen;Yang Song;Hao Ma

  • Linformer: Self-Attention with Linear Complexity

    Sinong Wang;Belinda Z. Li;Madian Khabsa;Han Fang

  • Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

    Jiezhong Qiu;Yuxiao Dong;Hao Ma;Jian Li

  • Effective missing data prediction for collaborative filtering

    Hao Ma;Irwin King;Michael R. Lyu

  • WSRec: A Collaborative Filtering Based Web Service Recommender System

    Zibin Zheng;Hao Ma;Michael R. Lyu;Irwin King

  • Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization

    Zibin Zheng;Hao Ma;M. R. Lyu;Irwin King

  • GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

    Jiani Zhang;Xingjian Shi;Junyuan Xie;Hao Ma

  • DeepInf: Social Influence Prediction with Deep Learning

    Jiezhong Qiu;Jian Tang;Hao Ma;Yuxiao Dong

  • Mining social networks using heat diffusion processes for marketing candidates selection

    Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King

  • Improving Recommender Systems by Incorporating Social Contextual Information

    Hao Ma;Tom Chao Zhou;Michael R. Lyu;Irwin King

  • CLEAR: Contrastive Learning for Sentence Representation.

    Zhuofeng Wu;Sinong Wang;Jiatao Gu;Madian Khabsa

  • Learning to recommend with trust and distrust relationships

    Hao Ma;Michael R. Lyu;Irwin King

  • An experimental study on implicit social recommendation

    Hao Ma

  • NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

    Jiezhong Qiu;Yuxiao Dong;Hao Ma;Jian Li

  • Learning to recommend with explicit and implicit social relations

    Hao Ma;Irwin King;Michael R. Lyu

  • Bridging the Semantic Gap Between Image Contents and Tags

    Hao Ma;Jianke Zhu;Michael Rung-Tsong Lyu;Irwin King

  • Blockwise Self-Attention for Long Document Understanding

    Jiezhong Qiu;Hao Ma;Omer Levy;Scott Wen-tau Yih

Frequent Co-Authors

Irwin King
Irwin King Chinese University of Hong Kong
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Kuansan Wang
Kuansan Wang Microsoft (United States)
Jie Tang
Jie Tang Tsinghua University
Yuxiao Dong
Yuxiao Dong Tsinghua University
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Chris Quirk
Chris Quirk Microsoft (United States)
Zibin Zheng
Zibin Zheng Sun Yat-sen University
Dit-Yan Yeung
Dit-Yan Yeung Hong Kong University of Science and Technology
Omer Levy
Omer Levy Deep Mind

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