| A comprehensive survey on graph anomaly detection with deep learning X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu IEEE Transactions on Knowledge and Data Engineering 35 (12), 12012-12038, 2021 | 439 | 2021 |
| A comprehensive survey on community detection with deep learning X Su, S Xue, F Liu, J Wu, J Yang, C Zhou, W Hu, C Paris, S Nepal, D Jin, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 311 | 2022 |
| Deep learning for community detection: progress, challenges and opportunities F Liu, S Xue, J Wu, C Zhou, W Hu, C Paris, S Nepal, J Yang, PS Yu arXiv preprint arXiv:2005.08225, 2020 | 246 | 2020 |
| A short-term traffic flow forecasting method based on the hybrid PSO-SVR W Hu, L Yan, K Liu, H Wang Neural Processing Letters 43, 155-172, 2016 | 177 | 2016 |
| Confined Fe2VO4⊂Nitrogen‐Doped Carbon Nanowires with Internal Void Space for High‐Rate and Ultrastable Potassium‐Ion Storage C Yang, F Lv, Y Zhang, J Wen, K Dong, H Su, F Lai, G Qian, W Wang, ... Advanced Energy Materials 9 (46), 1902674, 2019 | 82 | 2019 |
| Nodes' evolution diversity and link prediction in social networks H Wang, W Hu, Z Qiu, B Du IEEE Transactions on Knowledge and Data Engineering 29 (10), 2263-2274, 2017 | 57 | 2017 |
| Link prediction with signed latent factors in signed social networks P Xu, W Hu, J Wu, B Du Proceedings of the 25th acm sigkdd international conference on knowledge …, 2019 | 55 | 2019 |
| A hybrid chaos-particle swarm optimization algorithm for the vehicle routing problem with time window W Hu, H Liang, C Peng, B Du, Q Hu Entropy 15 (4), 1247-1270, 2013 | 52 | 2013 |
| Graph pooling for graph neural networks: Progress, challenges, and opportunities C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu, D Tao arXiv preprint arXiv:2204.07321, 2022 | 46 | 2022 |
| A swarm intelligent method for traffic light scheduling: application to real urban traffic networks W Hu, H Wang, L Yan, B Du Applied Intelligence 44, 208-231, 2016 | 45 | 2016 |
| Real-time traffic jams prediction inspired by Biham, Middleton and Levine (BML) model W Hu, L Yan, H Wang, B Du, D Tao Information Sciences 381, 209-228, 2017 | 39 | 2017 |
| A quantum particle swarm optimization driven urban traffic light scheduling model W Hu, H Wang, Z Qiu, C Nie, L Yan Neural Computing and Applications 29, 901-911, 2018 | 38 | 2018 |
| A storage allocation algorithm for outbound containers based on the outer–inner cellular automaton W Hu, H Wang, Z Min Information Sciences 281, 147-171, 2014 | 38 | 2014 |
| IQGA: A route selection method based on quantum genetic algorithm-toward urban traffic management under big data environment Y Tian, W Hu, B Du, S Hu, C Nie, C Zhang World Wide Web 22, 2129-2151, 2019 | 32 | 2019 |
| Theil-based countermeasure against interest flooding attacks for named data networks R Hou, M Han, J Chen, W Hu, X Tan, J Luo, M Ma Ieee Network 33 (3), 116-121, 2019 | 30 | 2019 |
| Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks (RNNs) C Liu, Z Li, W Hu, L Xing, H Peng Physics in Medicine & Biology 64 (17), 175009, 2019 | 28 | 2019 |
| Pso-svr: A hybrid short-term traffic flow forecasting method W Hu, L Yan, K Liu, H Wang 2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015 | 27 | 2015 |
| Urban traffic route guidance method with high adaptive learning ability under diverse traffic scenarios C Tang, W Hu, S Hu, MEJ Stettler IEEE Transactions on Intelligent Transportation Systems 22 (5), 2956-2968, 2020 | 26 | 2020 |
| Detecting and assessing anomalous evolutionary behaviors of nodes in evolving social networks H Wang, J Wu, W Hu, X Wu ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (1), 1-24, 2019 | 25 | 2019 |
| Learning pregrasp manipulation of objects from ungraspable poses Z Sun, K Yuan, W Hu, C Yang, Z Li 2020 IEEE International Conference on Robotics and Automation (ICRA), 9917-9923, 2020 | 24 | 2020 |
Dacheng TaoNanyang Technological UniversityVerified email at ntu.edu.sg
