Quan Gan

According to our database, Quan Gan authored at least 61 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting.

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis

IEEE Trans. Neural Networks Learn. Syst., February, 2024

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training.

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

Proc. VLDB Endow., February, 2024

Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation.

Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

CoRR, 2024

2023

The Jasmine (<i>Jasminum sambac</i>) Genome Provides Insight into the Biosynthesis of Flower Fragrances and Jasmonates.

Gang Chen, Salma Mostafa, Zhaogeng Lu, Ran Du, Jiawen Cui, Yun Wang, Qinggang Liao, Jinkai Lu, Xinyu Mao, Bang Chang, Quan Gan, Li Wang, Zhichao Jia, Xiulian Yang, Yingfang Zhu, Jianbin Yan, Biao Jin

Genom. Proteom. Bioinform., 2023

GFS: Graph-based Feature Synthesis for Prediction over Relational Databases.

Han Zhang, Quan Gan, David Wipf, Weinan Zhang

CoRR, 2023

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs.

Yuchen Zhong, Guangming Sheng, Tianzuo Qin, Minjie Wang, Quan Gan, Chuan Wu

CoRR, 2023

Efficient Link Prediction via GNN Layers Induced by Negative Sampling.

Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf

CoRR, 2023

Continuous sign language recognition based on cross-resolution knowledge distillation.

Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

CoRR, 2023

ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Dense Representation Learning and Retrieval for Tabular Data Prediction.

Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

From Hypergraph Energy Functions to Hypergraph Neural Networks.

Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf

Proceedings of the International Conference on Machine Learning, 2023

Dexterity of Concentric Magnetic Continuum Robot with Multiple Stiffness.

Na Li, Daojing Lin, Junfeng Wu, Quan Gan, Niandong Jiao

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Fully 2D Convolutional Network for Continuous Sign Language Recognition.

Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

Proceedings of the Fuzzy Systems and Data Mining IX, 2023

2022

Temporal superimposed crossover module for effective continuous sign language.

Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

CoRR, 2022

Continuous Sign Language Recognition via Temporal Super-Resolution Network.

Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

CoRR, 2022

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf

CoRR, 2022

CEP3: Community Event Prediction with Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan

CoRR, 2022

Multi-scale temporal network for continuous sign language recognition.

Qidan Zhu, Jing Li, Fei Yuan, Quan Gan

CoRR, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.

Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks.

Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CEP3: Community Event Prediction With Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan

Proceedings of the Learning on Graphs Conference, 2022

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.

Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu

Proceedings of the International Conference on Machine Learning, 2022

Why Propagate Alone? Parallel Use of Labels and Features on Graphs.

Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

Proceedings of the Tenth International Conference on Learning Representations, 2022

Inductive Relation Prediction Using Analogy Subgraph Embeddings.

Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

TraverseNet: Unifying Space and Time in Message Passing.

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis

CoRR, 2021

Construction of a human body model for acupuncture and moxibustion treatment by colored Petri nets.

Quan Gan, Ren Wu, Mitsuru Nakata, Qi-Wei Ge

Biosyst., 2021

Scalable Graph Neural Networks with Deep Graph Library.

Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis

Proceedings of the WSDM '21, 2021

A Biased Graph Neural Network Sampler with Near-Optimal Regret.

Qingru Zhang, David Wipf, Quan Gan, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graph Neural Networks Inspired by Classical Iterative Algorithms.

Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

Proceedings of the 38th International Conference on Machine Learning, 2021

A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem.

Quan Gan, Fengge Wu, Junsuo Zhao

Proceedings of the 6th International Conference on Control, Robotics and Cybernetics, 2021

Internet of Samples.

Stephen M. Richard, David Vieglais, Hong Cui, Neil Davies, John Deck, Quan Gan, Eric C. Kansa, Sarah Whitcher Kansa, John A. Kunze, Danny Mandel, Christopher Meyer, Thomas Orrell, Sarah Ramdeen, Rebecca Snyder, Ramona L. Walls, Yuxuan Zhou, Kerstin A. Lehnert

Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021

2020

Tourism demonstration system for large-scale museums based on 3D virtual simulation technology.

Yongcai Hu, Wei Sun, Xigang Liu, Quan Gan, Jie Shi

Electron. Libr., 2020

A MLEM-TV-MRP Algorithm for Fast Neutron Computed Tomography Reconstruction of High Statistical Noise and Sparse Sampling.

Sangang Li, Zhengyun Dong, Quan Gan, Shengpeng Yu, Qi Yang, Jing Song

IEEE Access, 2020

Learning Graph Neural Networks with Deep Graph Library.

Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.

Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis

Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020

Scalable Graph Neural Networks with Deep Graph Library.

Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

The 5G MEC Applications in Smart Manufacturing.

Ning Mu, Shulei Gong, Wanqing Sun, Quan Gan

Proceedings of the 2020 IEEE International Conference on Edge Computing, 2020

2019

BP-Transformer: Modelling Long-Range Context via Binary Partitioning.

Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang

CoRR, 2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.

Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang

CoRR, 2019

2018

Skin Disease Recognition Method Based on Image Color and Texture Features.

Lisheng Wei, Quan Gan, Tao Ji

Comput. Math. Methods Medicine, 2018

2017

Expression-assisted facial action unit recognition under incomplete AU annotation.

Shangfei Wang, Quan Gan, Qiang Ji

Pattern Recognit., 2017

Huber cubature particle filter and online state estimation.

Runxia Guo, Quan Gan, Junwei Zhang, Kai Guo, Jiankang Dong

J. Syst. Control. Eng., 2017

Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm.

Xiaoyu Zhang, Jiusheng Chen, Quan Gan

J. Electr. Comput. Eng., 2017

Prognostics for a Leaking Hydraulic Actuator Based on the F-Distribution Particle Filter.

Runxia Guo, Quan Gan

IEEE Access, 2017

A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses.

Quan Gan, Shangfei Wang, Longfei Hao, Qiang Ji

Proceedings of the IEEE International Conference on Computer Vision, 2017

The Performance Impact of Buffer Sizes for Multi-path TCP in Internet Setups.

Feng Zhou, Thomas Dreibholz, Xing Zhou, Fa Fu, Yuyin Tan, Quan Gan

Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network.

Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The quantitative analysis of space-time distribution and the evaluation of ecological load of land cover - a case study of Zoige Wetland National Nature Reserve.

Guoming Li, Quan Gan, Xiaoping Wu, Guowei Ying

Proceedings of the 24th International Conference on Geoinformatics, GeoInformatics 2016, 2016

Facial Expression Intensity Estimation Using Ordinal Information.

Rui Zhao, Quan Gan, Shangfei Wang, Qiang Ji

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks.

Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho

CoRR, 2015

Performance comparison of congestion control strategies for multi-path TCP in the NORNET testbed.

Fa Fu, Xing Zhou, Thomas Dreibholz, Keying Wang, Feng Zhou, Quan Gan

Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Posed and spontaneous facial expression differentiation using deep Boltzmann machines.

Quan Gan, Chongliang Wu, Shangfei Wang, Qiang Ji

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2012

Artificial Neural Network for Compositional Ionic Liquid Viscosity Prediction.

Yiqing Miao, David W. Rooney, Quan Gan

Int. J. Comput. Intell. Syst., 2012

2010

Designing a compact soft-start scheme for voltage-mode DC-DC switching converters.

Sizhen Li, Xuecheng Zou, Xiaofei Chen, Quan Gan

Microelectron. J., 2010

Artificial neural network model to predict compositional viscosity over a broad range of temperatures.

Yiqing Miao, Quan Gan, David W. Rooney

Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

2006

A self-learning model based on granular computing.

Quan Gan, Guoyin Wang, Jun Hu

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005

Humanoids for lunar and planetary surface operations.

Adrian Stoica, Didier Keymeulen, Ambrus Csaszar, Quan Gan, Timothy Hidalgo, Jeff Moore, Jason Newton, Steven Sandoval, Jiajing Xu

Proceedings of the IEEE International Conference on Systems, 2005

Communication Protocol Decomposition and Component-based Protocol Submodule.

Tianzhou Chen, Quan Gan, Wei Hu, Jiangwei Huang

Proceedings of the IASTED International Conference on Software Engineering, 2005

A rule generation algorithm based on granular computing.

Jiu-Jiang An, Guoyin Wang, Yu Wu, Quan Gan

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005