activity
20172025
most citedNetwork Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

722 citations · 1.7k across the 12 of their papers we have counts for

collaborators

12 papers

cs.AI2025★ 2 cited

Causal Mean Field Multi-Agent Reinforcement Learning

Hao Ma, Zhiqiang Pu, Yi Pan +3

Scalability remains a challenge in multi-agent reinforcement learning and is currently under active research. A framework named mean-field reinforcement learning (MFRL) could allev…

math.NA2023

The extension of Weyl-type relative perturbation bounds

Haoyuan Ma

We extend several relative perturbation bounds to Hermitian matrices that are possibly singular, and also develop a general class of relative bounds for Hermitian matrices. As a re…

cs.RO2023

Data-Efficient Online Learning of Ball Placement in Robot Table Tennis

Philip Tobuschat, Hao Ma, Dieter Büchler +2

We present an implementation of an online optimization algorithm for hitting a predefined target when returning ping-pong balls with a table tennis robot. The online algorithm opti…

cs.RO2023★ 1 cited

Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion

Simon Guist, Jan Schneider, Hao Ma +9

Operating robots precisely and at high speeds has been a long-standing goal of robotics research. Balancing these competing demands is key to enabling the seamless collaboration of…

physics.plasm-ph2023

Ab initio calculated dynamic structure factor and optical properties of beryllium along the Hugoniot

Wei-Jie Li, Jie Zhou, Zi Li +6

Beryllium is an ablator material in the inertial-confinement fusion and hypervelocity impact studies. The thermoelastic properties, structure factors, and optical properties of ber…

cs.SI2019★ 112 cited

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Jiezhong Qiu, Yuxiao Dong, Hao Ma +4

We study the problem of large-scale network embedding, which aims to learn latent representations for network mining applications. Previous research shows that 1) popular network e…

cs.SI2018★ 562 cited

DeepInf: Social Influence Prediction with Deep Learning

Jiezhong Qiu, Jian Tang, Hao Ma +3

Social and information networking activities such as on Facebook, Twitter, WeChat, and Weibo have become an indispensable part of our everyday life, where we can easily access frie…

cs.DL2018★ 14 cited

Collaboration Diversity and Scientific Impact

Yuxiao Dong, Hao Ma, Jie Tang +1

The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful resear…

cs.CL2018★ 17 cited

A Web-scale system for scientific knowledge exploration

Zhihong Shen, Hao Ma, Kuansan Wang

To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure. In this work, we prese…

cs.LG2018★ 254 cited

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

Jiani Zhang, Xingjian Shi, Junyuan Xie +3

We propose a new network architecture, Gated Attention Networks (GaAN), for learning on graphs. Unlike the traditional multi-head attention mechanism, which equally consumes all at…

cs.SI2017★ 722 cited

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

Jiezhong Qiu, Yuxiao Dong, Hao Ma +3

Since the invention of word2vec, the skip-gram model has significantly advanced the research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE, and node…

cs.DL2017★ 29 cited

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations

Yuxiao Dong, Hao Ma, Zhihong Shen +1

Progress in science has advanced the development of human society across history, with dramatic revolutions shaped by information theory, genetic cloning, and artificial intelligen…