Zhong Wenliang
Zhong Wenliang
Ant Group
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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
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
Fast stochastic alternating direction method of multipliers
W Zhong, J Kwok
International conference on machine learning, 46-54, 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
Convex Multitask Learning with Flexible Task Clusters
W Zhong, J Kwok
Proceedings of the 29th International Conference on Machine Learning, 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
Accurate Probability Calibration for Multiple Classifiers.
W Zhong, JT Kwok
IJCAI, 1939-1945, 2013
Accelerated stochastic gradient method for composite regularization
W Zhong, J Kwok
Artificial Intelligence and Statistics, 1086-1094, 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
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
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
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
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
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
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
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
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
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
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
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
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