| Detecting Statistical Interactions from Neural Network Weights M Tsang, D Cheng, Y Liu International Conference on Learning Representations (ICLR), 2018 | 223 | 2018 |
| Towards automated neural interaction discovery for click-through rate prediction Q Song, D Cheng, H Zhou, J Yang, Y Tian, X Hu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 95 | 2020 |
| Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams R Yu, D Cheng, Y Liu Proceedings of the 32nd International Conference on Machine Learning (ICML …, 2015 | 78 | 2015 |
| Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection M Tsang, D Cheng, H Liu, X Feng, E Zhou, Y Liu International Conference on Learning Representations (ICLR), 2019 | 71 | 2019 |
| Efficient sampling for Gaussian graphical models via spectral sparsification D Cheng, Y Cheng, Y Liu, R Peng, SH Teng Conference on Learning Theory, 364-390, 2015 | 62* | 2015 |
| SPALS: Fast alternating least squares via implicit leverage scores sampling D Cheng, R Peng, Y Liu, I Perros Advances in neural information processing systems 29, 2016 | 56 | 2016 |
| FBLG: A Simple and Effective Approach for Temporal Dependence Discovery from Time Series Data D Cheng, MT Bahadori, Y Liu KDD, 2014 | 52 | 2014 |
| Model Selection for Topic Models via Spectral Decomposition D Cheng, X He, Y Liu Proceedings of the Eighteenth International Conference on Artificial …, 2015 | 19* | 2015 |
| NASRec: weight sharing neural architecture search for recommender systems T Zhang, D Cheng, Y He, Z Chen, X Dai, L Xiong, F Yan, H Li, Y Chen, ... Proceedings of the ACM Web Conference 2023, 1199-1207, 2023 | 16 | 2023 |
| Parallel Gibbs Sampling for Hierarchical Dirichlet Processes via Gamma Processes Equivalence D Cheng, Y Liu KDD, 2014 | 15 | 2014 |
| Variational training for large-scale noisy-OR Bayesian networks G Ji, D Cheng, H Ning, C Yuan, H Zhou, L Xiong, EB Sudderth Uncertainty in artificial intelligence, 2019 | 8 | 2019 |
| Rankitect: Ranking architecture search battling world-class engineers at meta scale W Wen, KH Liu, I Fedorov, X Zhang, H Yin, W Chu, K Hassani, M Sun, ... Companion Proceedings of the ACM on Web Conference 2024, 73-82, 2024 | 3 | 2024 |
| Matrix completability analysis via graph k-connectivity D Cheng, N Ruchansky, Y Liu Proceedings of the Eighteenth International Conference on Artificial …, 2018 | 3 | 2018 |
| On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps J Chen, D Cheng, Y Liu arXiv:1610.08861, 2016 | 2 | 2016 |
| Towards Automated Model Design on Recommender Systems T Zhang, D Cheng, Y He, Z Chen, X Dai, L Xiong, Y Liu, F Cheng, Y Cao, ... arXiv preprint arXiv:2411.07569, 2024 | | 2024 |
| Improving Machine Learning Algorithms via Efficient Data Relevance Discovery D Cheng University of Southern California, 2018 | | 2018 |
Yu ChengBrown UniversityVerified email at brown.edu
