Dehua Cheng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Topics

Neural Architecture

Alternating Least Squares

Gaussian Graphical Models

Recommender Systems

Top Venues

Publications

Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) (2024)
Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR (2023)
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW (2023)
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR (2022)
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. CoRR (2020)
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. KDD (2020)
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. ICLR (2020)
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. CoRR (2020)
Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth
Variational Training for Large-Scale Noisy-OR Bayesian Networks. UAI (2019)
Michael Tsang, Dehua Cheng, Yan Liu
Detecting Statistical Interactions from Neural Network Weights. ICLR (Poster) (2018)
Dehua Cheng, Natali Ruchansky, Yan Liu
Matrix completability analysis via graph k-connectivity. AISTATS (2018)
Michael Tsang, Dehua Cheng, Yan Liu
Detecting Statistical Interactions from Neural Network Weights. CoRR (2017)
Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling. NIPS (2016)
Jie Chen, Dehua Cheng, Yan Liu
On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps. CoRR (2016)
Dehua Cheng, Xinran He, Yan Liu
Model Selection for Topic Models via Spectral Decomposition. AISTATS (2015)
Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification. COLT (2015)
Rose Yu, Dehua Cheng, Yan Liu
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams. ICML (2015)
Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
Spectral Sparsification of Random-Walk Matrix Polynomials. CoRR (2015)
Dehua Cheng, Mohammad Taha Bahadori, Yan Liu
FBLG: a simple and effective approach for temporal dependence discovery from time series data. KDD (2014)
Dehua Cheng, Yan Liu
Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence. KDD (2014)
Dehua Cheng, Xinran He, Yan Liu
Analyzing the Number of Latent Topics via Spectral Decomposition. CoRR (2014)
Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models. CoRR (2014)