FBLG: a simple and effective approach for temporal dependence discovery from time series data. - Dehua Cheng; Mohammad Taha Bahadori; Yan Liu 002 (KDD, 2014)

Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence. - Dehua Cheng; Yan Liu 002 (KDD, 2014)

Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models. - Dehua Cheng; Yu Cheng 002; Yan Liu 002; Richard Peng; Shang-Hua Teng (CoRR, 2014)

Analyzing the Number of Latent Topics via Spectral Decomposition. - Dehua Cheng; Xinran He; Yan Liu 002 (CoRR, 2014)

Model Selection for Topic Models via Spectral Decomposition. - Dehua Cheng; Xinran He; Yan Liu 002 (AISTATS, 2015)

Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification. - Dehua Cheng; Yu Cheng 002; Yan Liu 002; Richard Peng; Shang-Hua Teng (COLT, 2015)

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams. - Rose Yu; Dehua Cheng; Yan Liu 002 (ICML, 2015)

Spectral Sparsification of Random-Walk Matrix Polynomials. - Dehua Cheng; Yu Cheng 002; Yan Liu 002; Richard Peng; Shang-Hua Teng (CoRR, 2015)

SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling. - Dehua Cheng; Richard Peng; Yan Liu 002; Ioakeim Perros (NIPS, 2016)

On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps. - Jie Chen 007; Dehua Cheng; Yan Liu 002 (CoRR, 2016)

Matrix completability analysis via graph k-connectivity. - Dehua Cheng; Natali Ruchansky; Yan Liu 002 (AISTATS, 2018)

Detecting Statistical Interactions from Neural Network Weights. - Michael Tsang; Dehua Cheng; Yan Liu 002 (ICLR (Poster), 2018)

Variational Training for Large-Scale Noisy-OR Bayesian Networks. - Geng Ji 001; Dehua Cheng; Huazhong Ning; Changhe Yuan; Hanning Zhou; Liang Xiong; Erik B. Sudderth (UAI, 2019)

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. - Michael Tsang; Dehua Cheng; Hanpeng Liu; Xue Feng; Eric Zhou; Yan Liu 002 (ICLR, 2020)

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. - Qingquan Song; Dehua Cheng; Hanning Zhou; Jiyan Yang; Yuandong Tian; Xia Hu 001 (KDD, 2020)

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Feng Yan 001; Hai Li 001; Yiran Chen 001; Wei Wen (WWW, 2023)

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. - Wei Wen; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Hang Yin 005; Weiwei Chu; Kaveh Hassani; Mengying Sun; Jiang Liu 011; Xu Wang; Lin Jiang; Yuxin Chen 001; et al. (WWW (Companion Volume), 2024)

Towards Automated Model Design on Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Yudong Liu; Feng Cheng; Yufan Cao 002; Feng Yan 001; Hai Li 001; Yiran Chen 001; et al. (Trans. Recomm. Syst., 2025)