Dehua Cheng

24 papers A* 7A 3Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Towards Automated Model Design on Recommender Systems.
Trans. Recomm. Syst.
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2024 — conf
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
WWW (Companion Volume)
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
2024 J jnl
Towards Automated Model Design on Recommender Systems.
CoRR
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023 A* conf
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.
WWW
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023 J jnl
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
CoRR
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
2022 J jnl
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.
CoRR
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2020 A* conf
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection.
ICLR
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
2020 J jnl
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection.
CoRR
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
2020 A* conf
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.
KDD
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020 J jnl
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.
CoRR
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2019 A conf
Variational Training for Large-Scale Noisy-OR Bayesian Networks.
UAI
Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth
2018 — conf
Detecting Statistical Interactions from Neural Network Weights.
ICLR (Poster)
Michael Tsang, Dehua Cheng, Yan Liu
2018 A conf
Matrix completability analysis via graph k-connectivity.
AISTATS
Dehua Cheng, Natali Ruchansky, Yan Liu
2017 J jnl
Detecting Statistical Interactions from Neural Network Weights.
CoRR
Michael Tsang, Dehua Cheng, Yan Liu
2016 J jnl
On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps.
CoRR
Jie Chen, Dehua Cheng, Yan Liu
2016 — conf
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling.
NIPS
Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros
2015 A* conf
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams.
ICML
Rose Yu, Dehua Cheng, Yan Liu
2015 A* conf
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification.
COLT
Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
2015 A conf
Model Selection for Topic Models via Spectral Decomposition.
AISTATS
Dehua Cheng, Xinran He, Yan Liu
2015 J jnl
Spectral Sparsification of Random-Walk Matrix Polynomials.
CoRR
Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
2014 J jnl
Analyzing the Number of Latent Topics via Spectral Decomposition.
CoRR
Dehua Cheng, Xinran He, Yan Liu
2014 A* conf
FBLG: a simple and effective approach for temporal dependence discovery from time series data.
KDD
Dehua Cheng, Mohammad Taha Bahadori, Yan Liu
2014 A* conf
Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence.
KDD
Dehua Cheng, Yan Liu
2014 J jnl
Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models.
CoRR
Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng