Y Wu, Z Zheng, G Zhang, Z Zhang, C Wang, Non-stationary A/B tests, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, e-Commerce Non-stationarity
D Jiang, H Luo, C Wang, Y Wang, Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Reinforcement Learning Multi-Armed Bandits
H Shi, Z Rao, Y Wu, Z Zhang, C Wang, Keyword Augmentation via Generative Methods, Companion Proceedings of the ACL-IJCNLP 2021, Workshop on e-Commerce and NLP (ECNLP), NLP e-Commerce Generative
Y Liu, C Wang, Z Zhang, Y Wu, Study on Price Consistency regarding Pack Size via Product Variant Retrieval and Pack Size Extraction, Companion Proceedings of the Web Conference 2020, 435-440, Pricing NLP e-Commerce
C Wang, L Tang, S Bian, D Zhang, Z Zhang, Y Wu, Reference product search, Companion Proceedings of the 2019 World Wide Web Conference, 404-410, Auto-Encoder Approximate KNN
C Wang, L Tang, Y Lu, S Bian, H Fujita, D Zhang, Z Zhang, Y Wu, ProductNet: a Collection of High-Quality Datasets for Product Representation Learning, Companion Proceedings of The 2019 World Wide Web Conference, 411-414, Representation Learning e-Commerce
H Zhang, X Jiang, C Wang, S Chen, Crank–Nicolson Fourier spectral methods for the space fractional nonlinear Schrödinger equation and its parameter estimation, International Journal of Computer Mathematics 96 (2), 238-263, Quantum Mechanics Computational Mathematics
B Chazelle, C Wang, Iterated learning in dynamic social networks, The Journal of Machine Learning Research 20 (1), 979-1006, Social Networks Control Theory Computational Social Science
H Zhang, X Jiang, C Wang, W Fan, Galerkin-Legendre spectral schemes for nonlinear space fractional Schrödinger equation, Numerical Algorithms 79 (1), 337-356, Quantum Mechanics Computational Mathematics
Y Wang, C Wang, W Powell, Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks, arXiv preprint arXiv:1709.05216, Reinforcement Learning Multi-Armed Bandits
C Wang, I Saniee, WS Kennedy, CA White, A New Family of Near-metrics for Universal Similarity, arXiv preprint arXiv:1707.06903, Graph Theory Mathematics
B Chazelle, Q Jiu, Q Li, C Wang, Well-posedness of the limiting equation of a noisy consensus model in opinion dynamics, Journal of Differential Equations 263 (1), 365-397, Mean Field Theory Computational Social Science
C Wang, B Chazelle, Gaussian Learning-without-Recall in a Dynamic Social Network, 2017 American Control Conference (ACC), 5109-5114, Social Networks Control Theory Computational Social Science
C Wang, Q Li, W E, B Chazelle, Noisy Hegselmann-Krause Systems: Phase Transition and the 2R-Conjecture, Journal of Statistical Physics 166 (5), 1209-1225, Computational Social Science Statistical Physics
Y Wang, H Ouyang, C Wang, J Chen, T Asamov, Y Chang, Efficient ordered combinatorial semi-bandits for whole-page recommendation, Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), Reinforcement Learning Computational Advertising
B. Chazelle, C. Wang, Self-Sustaining Iterated Learning, Innovations in Theoretical Computer Science (2017), 1-17, Control Theory Computational Social Science
B Chazelle, C Wang, Inertial Hegselmann-Krause Systems, IEEE Transactions on Automatic Control 62 (8), 3905-3913, Control Theory Computational Social Science
Y Wang, C Wang, W Powell, The knowledge gradient for sequential decision making with stochastic binary feedbacks, International Conference on Machine Learning, 1138-1147, Reinforcement Learning Multi-Armed Bandits
B Yu, X Jiang, C Wang, Numerical algorithms to estimate relaxation parameters and Caputo fractional derivative for a fractional thermal wave model in spherical composite medium, Applied Mathematics and Computation 274, 106-118, Bio Science Computational Mathematics Fractal
Jie Xu , Chu Wang , An-Chang Shi and Pingwen Zhang, Computing Optimal Interfacial Structure of Modulated Phases, Communications in Computational Physics, 21(1), pp.1-15, Material Science Computational Mathematics
C Wang, Y Wang, R Schapire, Functional Frank-Wolfe boosting for general loss functions, arXiv preprint arXiv:1510.02558, Ensemble Learning Regularization
K Jiang, C Wang, Y Huang, P Zhang, Discovery of New Metastable Patterns in Diblock Copolymers, Communications in Computational Physics 14 (2), 443-460, Material Science Computational Mathematics
X Cheng, P Zhang, A Shi, C Wang, Order-order Nucleation in Copolymers: A String Method Approach, APS March Meeting 2012, X25. 011, Phase Transition
C Wang, K Jiang, P Zhang, AC Shi, Origin of Epitaxies between Ordered Phases of Block Copolymers, Soft Matter 7 (22), 10552-10555, Material Science Computational Mathematics