Performance of Orthogonal Matching Pursuit for Multiple Measurement Vectors - Jie Ding; Laming Chen; Yuantao Gu (CoRR, 2011)

Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario. - Jie Ding; Laming Chen; Yuantao Gu (ICASSP, 2012)

Quantization reference voltage of the Modulated Wideband Converter. - Yaming Wang; Laming Chen; Yuantao Gu (ICASSP, 2012)

Greedy pursuits: Stability of recovery performance against general perturbations. - Laming Chen; Jiong Chen; Yuantao Gu (ICNC, 2012)

Performance analysis of Orthogonal Matching Pursuit under general perturbations. - Jie Ding; Laming Chen; Yuantao Gu (ICNC, 2012)

Near-oracle Recovery Performance of Greedy Pursuits with Replacement against General Perturbations - Laming Chen; Yuantao Gu (CoRR, 2012)

Retrieve Sparse Solution of Multiple-Measurement Vectors via Zero-point Attracting Projection - Yang You; Laming Chen; Yuantao Gu; Wei Feng; Hui Dai (CoRR, 2012)

On the Performance Bound of Sparse Estimation with Sensing Matrix Perturbation - Yujie Tang; Laming Chen; Yuantao Gu (CoRR, 2012)

Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection. - Yang You; Laming Chen; Yuantao Gu; Wei Feng; Hui Dai (Signal Process., 2012)

Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-Point Attracting Projection. - Xiaohan Wang; Yuantao Gu; Laming Chen (IEEE Trans. Signal Process., 2012)

On estimating the loss of signal-to-noise ratio in compressive sensing based systems. - Yaming Wang; Laming Chen; Yuantao Gu (ChinaSIP, 2013)

From least squares to sparse: A non-convex approach with guarantee. - Laming Chen; Yuantao Gu (ICASSP, 2013)

Backtracking matching pursuit with supplement set of arbitrary size. - Laming Chen; Yuantao Gu (ICASSP, 2013)

Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations. - Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2013)

Perturbation Analysis of Orthogonal Matching Pursuit. - Jie Ding; Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2013)

On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation. - Yujie Tang 002; Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2013)

The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares. - Laming Chen; Yuantao Gu (ICASSP, 2014)

On the theoretical analysis of cross validation in compressive sensing. - Jinye Zhang; Laming Chen; Petros T. Boufounos; Yuantao Gu (ICASSP, 2014)

Robust recovery of low-rank matrices via non-convex optimization. - Laming Chen; Yuantao Gu (DSP, 2014)

Robust sparse recovery via non-convex optimization. - Laming Chen; Yuantao Gu (DSP, 2014)

The Convergence Guarantees of a Non-Convex Approach for Sparse Recovery. - Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2014)

Fast sparse recovery via non-convex optimization. - Laming Chen; Yuantao Gu (GlobalSIP, 2015)

Local and global optimality of LP minimization for sparse recovery. - Laming Chen; Yuantao Gu (ICASSP, 2015)

Dynamic zero-point attracting projection for time-varying sparse signal recovery. - Jiawei Zhou; Laming Chen; Yuantao Gu (ICASSP, 2015)

On the Null Space Constant for ℓp Minimization. - Laming Chen; Yuantao Gu (IEEE Signal Process. Lett., 2015)

Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information. - Ruiyang Song; Laming Chen; Yuantao Gu (DSP, 2016)

Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm. - Jinye Zhang; Laming Chen; Petros T. Boufounos; Yuantao Gu (CoRR, 2016)

Square-Root Lasso With Nonconvex Regularization: An ADMM Approach. - Xinyue Shen 002; Laming Chen; Yuantao Gu; Hing-Cheung So (IEEE Signal Process. Lett., 2016)

Improving the Diversity of Top-N Recommendation via Determinantal Point Process. - Laming Chen; Guoxin Zhang; Hanning Zhou (CoRR, 2017)

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity. - Laming Chen; Guoxin Zhang; Eric Zhou (NeurIPS, 2018)

Hulu video recommendation: from relevance to reasoning. - Xiaoran Xu; Laming Chen; Songpeng Zu; Hanning Zhou (RecSys, 2018)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (WWW (Companion Volume), 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)