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2020 – today
- 2023
[i19]Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang
, Jidong Zhai, Zheng Zhang:
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR abs/2301.07482 (2023)- [i18]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous sign language recognition based on cross-resolution knowledge distillation. CoRR abs/2303.06820 (2023) - 2022
- [c26]Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan:
Inductive Relation Prediction Using Analogy Subgraph Embeddings. ICLR 2022 - [c25]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. ICLR 2022 - [c24]Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML 2022: 8581-8612 - [c23]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan:
CEP3: Community Event Prediction With Neural Point Process on Graph. LoG 2022: 39 - [c22]Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR 2022: 2776-2789 - [i17]Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR abs/2202.00211 (2022) - [i16]Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR abs/2202.09177 (2022) - [i15]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Multi-scale temporal network for continuous sign language recognition. CoRR abs/2204.03864 (2022) - [i14]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan:
CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR abs/2205.10624 (2022) - [i13]Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf:
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation. CoRR abs/2206.06587 (2022) - [i12]Hongjoon Ahn, Yongyi Yang, Quan Gan, David Wipf, Taesup Moon:
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. CoRR abs/2206.11081 (2022) - [i11]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous Sign Language Recognition via Temporal Super-Resolution Network. CoRR abs/2207.00928 (2022) - [i10]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Temporal superimposed crossover module for effective continuous sign language. CoRR abs/2211.03387 (2022) - [i9]Jiarui Jin, Yangkun Wang, Weinan Zhang, Quan Gan, Xiang Song, Yong Yu, Zheng Zhang, David Wipf:
Refined Edge Usage of Graph Neural Networks for Edge Prediction. CoRR abs/2212.12970 (2022) - 2021
- [j10]Quan Gan, Ren Wu, Mitsuru Nakata, Qi-Wei Ge:
Construction of a human body model for acupuncture and moxibustion treatment by colored Petri nets. Biosyst. 210: 104526 (2021) - [c21]Quan Gan, Fengge Wu, Junsuo Zhao:
A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem. CRC 2021: 240-249 - [c20]Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf:
Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML 2021: 11773-11783 - [c19]Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. NeurIPS 2021: 8833-8844 - [c18]Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis:
Scalable Graph Neural Networks with Deep Graph Library. WSDM 2021: 1141-1142 - [i8]Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. CoRR abs/2103.01089 (2021) - [i7]Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf:
Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR abs/2103.06064 (2021) - [i6]Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis:
TraverseNet: Unifying Space and Time in Message Passing. CoRR abs/2109.02474 (2021) - [i5]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR abs/2110.07190 (2021) - 2020
- [j9]Sangang Li, Zhengyun Dong, Quan Gan, Shengpeng Yu, Qi Yang, Jing Song:
A MLEM-TV-MRP Algorithm for Fast Neutron Computed Tomography Reconstruction of High Statistical Noise and Sparse Sampling. IEEE Access 8: 3397-3407 (2020) - [j8]Yongcai Hu, Wei Sun, Xigang Liu, Quan Gan, Jie Shi:
Tourism demonstration system for large-scale museums based on 3D virtual simulation technology. Electron. Libr. 38(2): 367-381 (2020) - [c17]Ning Mu, Shulei Gong, Wanqing Sun, Quan Gan:
The 5G MEC Applications in Smart Manufacturing. EDGE 2020: 45-48 - [c16]Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis:
Scalable Graph Neural Networks with Deep Graph Library. KDD 2020: 3521-3522 - [c15]Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis:
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC 2020: 36-44 - [c14]Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis:
Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) 2020: 305-306 - [i4]Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis:
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR abs/2010.05337 (2020)
2010 – 2019
- 2019
- [i3]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:
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR abs/1909.01315 (2019) - [i2]Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang:
BP-Transformer: Modelling Long-Range Context via Binary Partitioning. CoRR abs/1911.04070 (2019) - 2018
- [j7]Li-sheng Wei, Quan Gan, Tao Ji:
Skin Disease Recognition Method Based on Image Color and Texture Features. Comput. Math. Methods Medicine 2018: 8145713:1-8145713:10 (2018) - 2017
- [j6]Runxia Guo, Quan Gan:
Prognostics for a Leaking Hydraulic Actuator Based on the F-Distribution Particle Filter. IEEE Access 5: 22409-22420 (2017) - [j5]Xiaoyu Zhang, Jiusheng Chen, Quan Gan:
Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm. J. Electr. Comput. Eng. 2017: 4890921:1-4890921:8 (2017) - [j4]Runxia Guo, Quan Gan, Junwei Zhang, Kai Guo, Jiankang Dong:
Huber cubature particle filter and online state estimation. J. Syst. Control. Eng. 231(3): 158-167 (2017) - [j3]Shangfei Wang, Quan Gan, Qiang Ji:
Expression-assisted facial action unit recognition under incomplete AU annotation. Pattern Recognit. 61: 78-91 (2017) - [c13]Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji:
Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. AAAI 2017: 4039-4045 - [c12]Feng Zhou, Thomas Dreibholz, Xing Zhou, Fa Fu, Yuyin Tan, Quan Gan:
The Performance Impact of Buffer Sizes for Multi-path TCP in Internet Setups. AINA 2017: 9-16 - [c11]Quan Gan, Shangfei Wang, Longfei Hao, Qiang Ji:
A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses. ICCV 2017: 5123-5132 - 2016
- [c10]Rui Zhao, Quan Gan, Shangfei Wang, Qiang Ji:
Facial Expression Intensity Estimation Using Ordinal Information. CVPR 2016: 3466-3474 - [c9]Guoming Li, Quan Gan, Xiaoping Wu, Guowei Ying:
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. Geoinformatics 2016: 1-4 - 2015
- [c8]Quan Gan, Chongliang Wu, Shangfei Wang, Qiang Ji:
Posed and spontaneous facial expression differentiation using deep Boltzmann machines. ACII 2015: 643-648 - [c7]Fa Fu, Xing Zhou, Thomas Dreibholz, Keying Wang, Feng Zhou, Quan Gan:
Performance comparison of congestion control strategies for multi-path TCP in the NORNET testbed. ICCC 2015: 1-6 - [i1]Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho:
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks. CoRR abs/1511.06425 (2015) - 2012
- [j2]Yiqing Miao, David W. Rooney, Quan Gan:
Artificial Neural Network for Compositional Ionic Liquid Viscosity Prediction. Int. J. Comput. Intell. Syst. 5(3): 460-471 (2012) - 2010
- [j1]Sizhen Li, Xuecheng Zou, Xiaofei Chen, Quan Gan:
Designing a compact soft-start scheme for voltage-mode DC-DC switching converters. Microelectron. J. 41(7): 430-439 (2010) - [c6]Yiqing Miao, Quan Gan, David W. Rooney:
Artificial neural network model to predict compositional viscosity over a broad range of temperatures. ISKE 2010: 668-673
2000 – 2009
- 2006
- [c5]Quan Gan, Guoyin Wang, Jun Hu:
A self-learning model based on granular computing. GrC 2006: 530-533 - 2005
- [c4]Jiu-Jiang An, Guoyin Wang, Yu Wu, Quan Gan:
A rule generation algorithm based on granular computing. GrC 2005: 102-107 - [c3]Adrian Stoica, Didier Keymeulen, Ambrus Csaszar, Quan Gan, Timothy Hidalgo, Jeff Moore, Jason Newton, Steven Sandoval, Jiajing Xu:
Humanoids for lunar and planetary surface operations. Humanoids 2005: 345-350 - [c2]Tianzhou Chen, Quan Gan, Wei Hu, Jiangwei Huang:
Communication Protocol Decomposition and Component-based Protocol Submodule. IASTED Conf. on Software Engineering 2005: 226-230 - [c1]Adrian Stoica, Didier Keymeulen, Ambrus Csaszar, Quan Gan, Timothy Hidalgo, Jeff Moore, Jason Newton, Steven Sandoval, Jiajing Xu:
Humanoids for lunar and planetary surface operations. SMC 2005: 2649-2654
Coauthor Index
aka: David Wipf
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last updated on 2023-03-26 00:12 CET by the dblp team
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