| Denoising self-attentive sequential recommendation H Chen, Y Lin, M Pan, L Wang, CCM Yeh, X Li, Y Zheng, F Wang, H Yang Proceedings of the 16th ACM conference on recommender systems, 92-101, 2022 | 100 | 2022 |
| Structured graph convolutional networks with stochastic masks for recommender systems H Chen, L Wang, Y Lin, CCM Yeh, F Wang, H Yang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 78 | 2021 |
| Generalization bounds via distillation D Hsu, Z Ji, M Telgarsky, L Wang arXiv preprint arXiv:2104.05641, 2021 | 50 | 2021 |
| Context-aware Domain Adaptation for Time Series Anomaly Detection KH Lai, L Wang, H Chen, F Wang, H Yang SIAM International Conference on Data Mining, 2023 | 21 | 2023 |
| Event2graph: Event-driven bipartite graph for multivariate time-series anomaly detection Y Wu, M Gu, L Wang, Y Lin, F Wang, H Yang arXiv preprint arXiv:2108.06783, 2021 | 15 | 2021 |
| Forecast-based multi-aspect framework for multivariate time-series anomaly detection L Wang, Y Lin, Y Wu, H Chen, F Wang, H Yang 2021 IEEE International Conference on Big Data (Big Data), 938-947, 2021 | 6 | 2021 |
| Partially phase-locked solutions to the Kuramoto model JC Bronski, L Wang Journal of Statistical Physics 183 (3), 46, 2021 | 4 | 2021 |
Matus TelgarskyCourant Institute of Mathematical Sciences, New York UniversityVerified email at nyu.edu
