16 citations · 58 across the 9 of their papers we have counts for
9 papers
Monte Carlo Policy Gradient Method for Binary Optimization
Cheng Chen, Ruitao Chen, Tianyou Li +2
Binary optimization has a wide range of applications in combinatorial optimization problems such as MaxCut, MIMO detection, and MaxSAT. However, these problems are typically NP-har…
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
Shengcai Liu, Ning Lu, Cheng Chen +1
Over the past few years, various word-level textual attack approaches have been proposed to reveal the vulnerability of deep neural networks used in natural language processing. Ty…
MOTR: End-to-End Multiple-Object Tracking with Transformer
Fangao Zeng, Bin Dong, Yuang Zhang +3
Temporal modeling of objects is a key challenge in multiple object tracking (MOT). Existing methods track by associating detections through motion-based and appearance-based simila…
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
Cheng Chen, Olmo Cerri, Thong Q. Nguyen +2
We present a fast simulation application based on a Deep Neural Network, designed to create large analysis-specific datasets. Taking as an example the generation of W+jet events pr…
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
Luo Luo, Cheng Chen, Yujun Li +2
We consider saddle point problems which objective functions are the average of strongly convex-concave individual components. Recently, researchers exploit variance reduction m…
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
Di Wu, Cheng Chen, Xun Yang +4
In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. Despite the increasing popularity of RTB, th…