| A novel set-based particle swarm optimization method for discrete optimization problems WN Chen, J Zhang, HSH Chung, WL Zhong, WG Wu, Y Shi IEEE Transactions on evolutionary computation 14 (2), 278-300, 2009 | 492 | 2009 |
| A novel discrete particle swarm optimization to solve traveling salesman problem W Zhong, J Zhang, W Chen 2007 IEEE congress on evolutionary computation, 3283-3287, 2007 | 141 | 2007 |
| Fast stochastic alternating direction method of multipliers W Zhong, J Kwok International conference on machine learning, 46-54, 2014 | 137 | 2014 |
| Efficient sparse modeling with automatic feature grouping LW Zhong, JT Kwok IEEE transactions on neural networks and learning systems 23 (9), 1436-1447, 2012 | 112 | 2012 |
| Convex Multitask Learning with Flexible Task Clusters W Zhong, J Kwok Proceedings of the 29th International Conference on Machine Learning, 2012 | 79 | 2012 |
| Fast low-rank matrix learning with nonconvex regularization Q Yao, JT Kwok, W Zhong 2015 IEEE International conference on data mining, 539-548, 2015 | 51 | 2015 |
| Accurate probability calibration for multiple classifiers W Zhong, JT Kwok Twenty-third international joint conference on artificial intelligence, 2013 | 42 | 2013 |
| Accelerated stochastic gradient method for composite regularization W Zhong, J Kwok Artificial Intelligence and Statistics, 1086-1094, 2014 | 35 | 2014 |
| A novel particle swarm optimization for the Steiner tree problem in graphs WL Zhong, J Huang, J Zhang 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 34 | 2008 |
| On the convergence of stochastic multi-objective gradient manipulation and beyond S Zhou, W Zhang, J Jiang, W Zhong, J Gu, W Zhu Advances in Neural Information Processing Systems 35, 38103-38115, 2022 | 27 | 2022 |
| Gradient descent with proximal average for nonconvex and composite regularization W Zhong, J Kwok Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 26 | 2014 |
| Stock constrained recommendation in tmall W Zhong, R Jin, C Yang, X Yan, Q Zhang, Q Li Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 21 | 2015 |
| Graph representation learning for merchant incentive optimization in mobile payment marketing Z Liu, D Wang, Q Yu, Z Zhang, Y Shen, J Ma, W Zhong, J Gu, J Zhou, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
| Incorporating the loss function into discriminative clustering of structured outputs W Zhong, W Pan, JT Kwok, IW Tsang IEEE Transactions on Neural Networks 21 (10), 1564-1575, 2010 | 12 | 2010 |
| Learning dynamic user interest sequence in knowledge graphs for click-through rate prediction Y Li, X Guo, W Lin, M Zhong, Q Li, Z Liu, W Zhong, Z Zhu IEEE Transactions on Knowledge and Data Engineering 35 (1), 647-657, 2021 | 11 | 2021 |
| Progressive self-attention network with unsymmetrical positional encoding for sequential recommendation Y Zhu, B Huang, S Jiang, M Yang, Y Yang, W Zhong Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 5 | 2022 |
| Denoising Time Cycle Modeling for Recommendation S Xie, Q Li, W Xu, K Shen, S Chen, W Zhong Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 5 | 2022 |
| Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay X Zang, B Hu, J Chu, Z Zhang, G Zhang, J Zhou, W Zhong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Edge-cloud collaborative learning with federated and centralized features Z Li, Q Li, Y Zhou, W Zhong, G Zhang, C Wu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
| Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction Y Ma, Z Liu, C Zhuang, Y Tan, Y Dong, W Zhong, J Gu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk
