Bowen Du

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All published works

Action	Title	Year	Authors
+	Dynamic Graph Representation Learning for Passenger Behavior Prediction	2024	Mingxuan Xie Tao Zou Junchen Ye Bowen Du Runhe Huang
+ PDF Chat	DyGKT: Dynamic Graph Learning for Knowledge Tracing	2024	Ke Cheng Linzhi Peng Pengyang Wang Junchen Ye Leilei Sun Bowen Du
+ PDF Chat	Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction	2024	Ke Cheng Linzhi Peng Junchen Ye Leilei Sun Bowen Du
+ PDF Chat	Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction	2023	Tao Zou Le Yu Leilei Sun Bowen Du Deqing Wang Fuzhen Zhuang
+ PDF Chat	Continuous-Time User Preference Modelling for Temporal Sets Prediction	2023	Le Yu Zihang Liu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv
+	Continuous-Time Graph Learning for Cascade Popularity Prediction	2023	Xiaodong Lü Shuo Ji Le Yu Leilei Sun Bowen Du Tongyu Zhu
+ PDF Chat	PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation	2023	Mingzhe Liu Han Huang Hao Feng Leilei Sun Bowen Du Yanjie Fu
+	Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation	2023	Han Huang Leilei Sun Bowen Du Weifeng Lv
+	Continuous-Time Graph Learning for Cascade Popularity Prediction	2023	Xiaodong Lü Shuo Ji Le Yu Leilei Sun Bowen Du Tongyu Zhu
+	Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification	2023	Tao Zou Le Yu Leilei Sun Bowen Du Deqing Wang Fuzhen Zhuang
+	Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction	2023	Tao Zou Le Yu Leilei Sun Bowen Du Deqing Wang Fuzhen Zhuang
+ PDF Chat	Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	2022	Le Yu Leilei Sun Bowen Du Tongyu Zhu Weifeng Lv
+ PDF Chat	GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation	2022	Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv
+ PDF Chat	Heterogeneous Graph Representation Learning with Relation Awareness	2022	Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong
+ PDF Chat	Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data	2021	Xuyan Tan Yu Wang Bowen Du Junchen Ye Weizhong Chen Leilei Sun Liping Li
+ PDF Chat	Coupled Layer-wise Graph Convolution for Transportation Demand Prediction	2021	Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong
+	Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data	2021	Xuyan Tan Yu Wang Bowen Du Junchen Ye Weizhong Chen Leilei Sun Liping Li
+ PDF Chat	Predicting Temporal Sets with Deep Neural Networks	2020	Le Yu Leilei Sun Bowen Du Chuanren Liu Hui Xiong Weifeng Lv
+	Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction	2020	Lingbo Liu Jiajie Zhen Guanbin Li Geng Zhan Zhaocheng He Bowen Du Liang Lin
+	Coupled Layer-wise Graph Convolution for Transportation Demand Prediction	2020	Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong
+	Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning	2020	Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong
+	Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems	2019	Man Luo Hongkai Wen Yi Luo Bowen Du Konstantin Klemmer Hongming Zhu
+	Demand Prediction for Electric Vehicle Sharing	2019	Man Luo Hongkai Wen Yi Luo Bowen Du Konstantin Klemmer Hongming Zhu
+	Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction	2019	Lingbo Liu Jiajie Zhen Guanbin Li Geng Zhan Zhaocheng He Bowen Du Liang Lin
+ PDF Chat	Attentive Crowd Flow Machines	2018	Lingbo Liu Ruimao Zhang Jiefeng Peng Guanbin Li Bowen Du Liang Lin
+	Attentive Crowd Flow Machines	2018	Lingbo Liu Ruimao Zhang Jiefeng Peng Guanbin Li Bowen Du Liang Lin
+	S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension	2017	Chuanqi Tan Furu Wei Nan Yang Bowen Du Weifeng Lv Ming Zhou
+	S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension	2017	Chuanqi Tan Furu Wei Nan Yang Bowen Du Weifeng Lv Ming Zhou

Common Coauthors

Coauthor	Papers Together
Leilei Sun	16
Le Yu	10
Weifeng Lv	9
Junchen Ye	7
Liang Lin	4
Chuanren Liu	4
Lingbo Liu	4
Guanbin Li	4
Hui Xiong	4
Yanjie Fu	4
Leilei Sun	3
Deqing Wang	3
Tao Zou	3
Fuzhen Zhuang	3
Nan Yang	2
Chuanqi Tan	2
Xuyan Tan	2
Linzhi Peng	2
Furu Wei	2
Geng Zhan	2
Jiefeng Peng	2
Hongming Zhu	2
Konstantin Klemmer	2
Man Luo	2
Zhaocheng He	2
Yi Luo	2
Hongkai Wen	2
Jiajie Zhen	2
Ruimao Zhang	2
Yu Wang	2
Ming Zhou	2
Weizhong Chen	2
Xiaodong Lü	2
Tongyu Zhu	2
Tao Zou	1
Mingxuan Xie	1
Mingzhe Liu	1
Runhe Huang	1
Han Huang	1
Pengyang Wang	1
Liping Li	1
Liping Li	1
Ke Cheng	1
Hui Xiong	1
Zihang Liu	1
Shuo Ji	1
Shuo Ji	1
Hao Feng	1
Ke Cheng	1
Han Huang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	6
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	5
+	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction	2018	Huaxiu Yao Fei Wu Jintao Ke Xianfeng Tang Yitian Jia Siyu Lu Pinghua Gong Jieping Ye Zhenhui Li	5
+ PDF Chat	Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction	2017	Junbo Zhang Yu Zheng Dekang Qi	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Representation Learning for Dynamic Graphs: A Survey	2019	Seyed Mehran Kazemi Rishab Goel Kshitij Jain Ivan Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart	4
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	4
+	Heterogeneous Graph Transformer	2020	Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun	4
+ PDF Chat	Heterogeneous Graph Attention Network	2019	Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui Philip S. Yu	4
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	4
+	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	2019	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang	3
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	3
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	3
+	Action Recognition using Visual Attention	2015	Shikhar Sharma Ryan Kiros Ruslan Salakhutdinov	3
+	A survey of heterogeneous information network analysis	2016	Chuan Shi Yitong Li Jiawei Zhang Yizhou Sun Philip S. Yu	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	3
+	Temporal Graph Networks for Deep Learning on Dynamic Graphs	2020	Emanuele Rossi Ben Chamberlain Fabrizio Frasca Davide Eynard Federico Monti Michael M. Bronstein	3
+	Towards Better Dynamic Graph Learning: New Architecture and Unified Library	2023	Yu Le Leilei Sun Bowen Du Weifeng Lv	3
+	Latent Space Model for Road Networks to Predict Time-Varying Traffic	2016	Dingxiong Deng Cyrus Shahabi Ugur Demiryurek Linhong Zhu Rose Yu Yan Liu	3
+ PDF Chat	Scalable deep traffic flow neural networks for urban traffic congestion prediction	2017	Mohammadhani Fouladgar Mostafa Parchami Ramez Elmasri Amir Ghaderi	3
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	3
+	Graph neural networks: A review of methods and applications	2020	Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun	3
+	Crowd Counting using Deep Recurrent Spatial-Aware Network	2018	Lingbo Liu Hongjun Wang Guanbin Li Wanli Ouyang Liang Lin	3
+ PDF Chat	Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering	2016	Huijuan Xu Kate Saenko	3
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	3
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	2018	Bing Yu Haoteng Yin Zhanxing Zhu	3
+ PDF Chat	Neural Graph Collaborative Filtering	2019	Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat‐Seng Chua	3
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	3
+	Deep Unsupervised Learning using Nonequilibrium Thermodynamics	2015	Jascha Sohl‐Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	2
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	2
+ PDF Chat	Predicting citywide crowd flows using deep spatio-temporal residual networks	2018	Junbo Zhang Yu Zheng Dekang Qi Ruiyuan Li Xiuwen Yi Tianrui Li	2
+ PDF Chat	Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	Qimai Li Zhichao Han Xiao-Ming Wu	2
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+ PDF Chat	Recurrent Neural Networks for Multivariate Time Series with Missing Values	2018	Zhengping Che Sanjay Purushotham Kyunghyun Cho David Sontag Yan Liu	2
+	Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning	2016	William Lotter Gabriel Kreiman David Cox	2
+	STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting	2019	Lei Bai Lina Yao Salil S. Kanhere Xianzhi Wang Quan Z. Sheng	2
+ PDF Chat	Adaptive Graph Convolutional Neural Networks	2018	Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang	2
+	Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach	2017	Zhenghao Chen Jianlong Zhou Xiuying Wang	2
+ PDF Chat	Attention to Scale: Scale-Aware Semantic Image Segmentation	2016	Liang-Chieh Chen Yi Yang Jiang Wang Wei Xu Alan Yuille	2
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	2
+	Heterogeneous Information Network Embedding for Recommendation	2018	Chuan Shi Binbin Hu Wayne Xin Zhao Philip S. Yu	2
+ PDF Chat	Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach	2017	Jintao Ke Hongyu Zheng Hai Yang Xiqun Chen	2
+	Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning	2016	Jiasen Lu Caiming Xiong Devi Parikh Richard Socher	2