Jiarui Sun

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Continuous control with deep reinforcement learning 2016 Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
2
+ PDF Chat A study of snake-like locomotion through the analysis of a flexible robot model 2015 Giancarlo Cicconofri
Antonio DeSimone
2
+ PDF Chat Energy Shaping Control of a CyberOctopus Soft Arm 2020 Heng-Sheng Chang
Udit Halder
Chia-Hsien Shih
Arman Tekinalp
Tejaswin Parthasarathy
Ekaterina Gribkova
Girish Chowdhary
Rhanor Gillette
Mattia Gazzola
Prashant G. Mehta
2
+ PDF Chat Topology, Geometry, and Mechanics of Strongly Stretched and Twisted Filaments: Solenoids, Plectonemes, and Artificial Muscle Fibers 2019 Nicholas Charles
Mattia Gazzola
L. Mahadevan
2
+ PDF Chat Ueber das Gleichgewicht und die Bewegung eines unendlich dĂźnnen elastischen Stabes. 1859 G. Kirchhoff
2
+ Addressing Function Approximation Error in Actor-Critic Methods 2018 Scott Fujimoto
Herke van Hoof
David Meger
1
+ PDF Chat Graph Neural Networks with Convolutional ARMA Filters 2021 Filippo Maria Bianchi
Daniele Grattarola
Lorenzo Livi
Cesare Alippi
1
+ How Powerful are Graph Neural Networks? 2018 Keyulu Xu
Weihua Hu
Jure Leskovec
Stefanie Jegelka
1
+ PDF Chat CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters 2018 Ron Levie
Federico Monti
Xavier Bresson
Michael M. Bronstein
1
+ Addressing Function Approximation Error in Actor-Critic Methods 2018 Scott Fujimoto
Herke van Hoof
David Meger
1
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
1
+ PDF Chat Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning 2018 Qimai Li
Zhichao Han
Xiao-Ming Wu
1
+ PDF Chat Learning Trajectory Dependencies for Human Motion Prediction 2019 Wei Mao
Miaomiao Liu
Mathieu Salzmann
Hongdong Li
1
+ PDF Chat EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs 2020 Aldo Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
Hiroki Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leiserson
1
+ PDF Chat Contrastive Self-supervised Learning for Graph Classification 2021 Jiaqi Zeng
Pengtao Xie
1
+ PDF Chat DeepWalk 2014 Bryan Perozzi
Rami Al‐Rfou
Steven Skiena
1
+ PDF Chat Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting 2021 Zheng Fang
Qingqing Long
Guojie Song
Kunqing Xie
1
+ Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting 2022 Zezhi Shao
Zhao Zhang
Fei Wang
Yongjun Xu
1
+ How Attentive are Graph Attention Networks? 2021 Shaked Brody
Uri Alon
Eran Yahav
1
+ Temporal Graph Networks for Deep Learning on Dynamic Graphs 2020 Emanuele Rossi
Ben Chamberlain
Fabrizio Frasca
Davide Eynard
Federico Monti
Michael M. Bronstein
1
+ Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence 2019 Lianli Gao
Xiaosu Zhu
Jingkuan Song
Zhou Zhao
Hengtao Shen
1
+ GraphMAE: Self-Supervised Masked Graph Autoencoders 2022 Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
Chunjie Wang
Jie Tang
1
+ Inductive Representation Learning on Large Graphs 2017 William L. Hamilton
Rex Ying
Jure Leskovec
1
+ Graph Attention Networks 2017 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
PĂ­etro LiĂł
Yoshua Bengio
1
+ PDF Chat When do contrastive learning signals help spatio-temporal graph forecasting? 2022 Xu Liu
Yuxuan Liang
Chao Huang
Yu Zheng
Bryan Hooi
Roger Zimmermann
1
+ PDF Chat Masked Autoencoders Are Scalable Vision Learners 2022 Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr DollĂĄr
Ross Girshick
1
+ Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion 2023 Jiarui Sun
Girish Chowdhary
1
+ PDF Chat Heterogeneous Graph Masked Autoencoders 2023 Yijun Tian
Kaiwen Dong
Chunhui Zhang
Chuxu Zhang
Nitesh V. Chawla
1
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
1
+ What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders 2023 Jintang Li
Ruofan Wu
Wangbin Sun
Liang Chen
Sheng Tian
Liang Zhu
Changhua Meng
Zibin Zheng
Weiqiang Wang
1
+ PDF Chat Dynamic graph convolutional networks 2019 Franco Manessi
Alessandro Rozza
Mario Manzo
1
+ Convolutional Sequence to Sequence Learning 2017 Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann Dauphin
1
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
1
+ Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 2018 Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
1