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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j16]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Temporal superimposed crossover module for effective continuous sign language. Mach. Vis. Appl. 35(5): 116 (2024)- [j15]Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang:
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. 17(6): 1473-1486 (2024) - [j14]Quan Gan
, Zhixing Ge, Xiaoduo Wang, Songchen Dai, Na Li, Jingang Wang, Lianqing Liu, Haibo Yu:
Stiffness-Tunable Substrate Fabrication by DMD-Based Optical Projection Lithography for Cancer Cell Invasion Studies. IEEE Trans. Biomed. Eng. 71(7): 2201-2210 (2024) - [j13]Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis:
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2003-2013 (2024) - [c37]Jingyu Li, Zongjie Cao, Quan Gan, Yu Tian, Zongyong Cui:
Class-Incremental SAR Obeject Detection Via Adaptive Distributed Response Distillation. IGARSS 2024: 9922-9925 - [c36]Kailing Tang, Zongyong Cui, Zheng Zhou, Quan Gan, Zongjie Cao:
A Transformer-Based Cross-Resolution Target Recognition Method for SAR Images Based on Feature Alignment and Aggregation. IGARSS 2024: 10350-10353 - [c35]Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos:
Graph Machine Learning Meets Multi-Table Relational Data. KDD 2024: 6502-6512 - [i25]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation. CoRR abs/2402.19118 (2024) - [i24]Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang:
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR abs/2404.18209 (2024) - [i23]Qidan Zhu, Jing Li, Fei Yuan, Jiaojiao Fan, Quan Gan:
A Chinese Continuous Sign Language Dataset Based on Complex Environments. CoRR abs/2409.11960 (2024) - 2023
- [j12]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:
The Jasmine (Jasminum sambac) Genome Provides Insight into the Biosynthesis of Flower Fragrances and Jasmonates. Genom. Proteom. Bioinform. 21(1): 127-149 (2023) - [j11]Quan Gan, Yucai Zhou:
Study on colour distortion correction method of two-dimensional art image based on naive Bayes. Int. J. Reason. based Intell. Syst. 15(3/4): 297-303 (2023) - [c34]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Fully 2D Convolutional Network for Continuous Sign Language Recognition. FSDM 2023: 244-254 - [c33]Na Li, Daojing Lin, Junfeng Wu, Quan Gan, Niandong Jiao:
Dexterity of Concentric Magnetic Continuum Robot with Multiple Stiffness. ICIRA (8) 2023: 329-338 - [c32]Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf:
From Hypergraph Energy Functions to Hypergraph Neural Networks. ICML 2023: 35605-35623 - [c31]Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang:
Dense Representation Learning and Retrieval for Tabular Data Prediction. KDD 2023: 3559-3569 - [c30]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:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i22]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) - [i21]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous sign language recognition based on cross-resolution knowledge distillation. CoRR abs/2303.06820 (2023) - [i20]Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf:
From Hypergraph Energy Functions to Hypergraph Neural Networks. CoRR abs/2306.09623 (2023) - [i19]Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf:
Efficient Link Prediction via GNN Layers Induced by Negative Sampling. CoRR abs/2310.09516 (2023) - [i18]Yuchen Zhong, Guangming Sheng, Tianzuo Qin, Minjie Wang, Quan Gan, Chuan Wu:
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs. CoRR abs/2311.17410 (2023) - [i17]Han Zhang, Quan Gan, David Wipf, Weinan Zhang:
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. CoRR abs/2312.02037 (2023) - 2022
- [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf:
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. NeurIPS 2022 - [c24]Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf:
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation. NeurIPS 2022 - [c23]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 - [i16]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) - [i15]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) - [i14]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Multi-scale temporal network for continuous sign language recognition. CoRR abs/2204.03864 (2022) - [i13]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) - [i12]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) - [i11]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) - [i10]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous Sign Language Recognition via Temporal Super-Resolution Network. CoRR abs/2207.00928 (2022) - [i9]Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Temporal superimposed crossover module for effective continuous sign language. CoRR abs/2211.03387 (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) - [c22]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:
Internet of Samples. ASIST 2021: 813-815 - [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]Lisheng 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
David P. Wipf
aka: David Wipf
aka: David Wipf
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