activity
20192022
most citedA Model-driven Deep Neural Network for Single Image Rain Removal

28 citations · 56 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IT2022

Achievable Diversity Order of HARQ-Aided Downlink NOMA Systems

Zheng Shi, Chenmeng Zhang, Yaru Fu +3

The combination between non-orthogonal multiple access (NOMA) and hybrid automatic repeat request (HARQ) is capable of realizing ultra-reliability, high throughput and many concurr…

cs.IT20221 cited

Zero-Forcing Based Downlink Virtual MIMO-NOMA Communications in IoT Networks

Zheng Shi, Hong Wang, Yaru Fu +4

To support massive connectivity and boost spectral efficiency for internet of things (IoT), a downlink scheme combining virtual multiple-input multiple-output (MIMO) and nonorthogo…

cs.HC202122 cited

NBSearch: Semantic Search and Visual Exploration of Computational Notebooks

Xingjun Li, Yuanxin Wang, Hong Wang +2

Code search is an important and frequent activity for developers using computational notebooks (e.g., Jupyter). The flexibility of notebooks brings challenges for effective code se…

cs.RO20203 cited

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications

Teng Liu, Xing Yang, Hong Wang +4

Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP ba…

cs.AI20202 cited

Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study

Teng Liu, Xingyu Mu, Xiaolin Tang +3

This work optimizes the highway decision making strategy of autonomous vehicles by using deep reinforcement learning (DRL). First, the highway driving environment is built, wherein…

eess.IV202028 cited

A Model-driven Deep Neural Network for Single Image Rain Removal

Hong Wang, Qi Xie, Qian Zhao +1

Deep learning (DL) methods have achieved state-of-the-art performance in the task of single image rain removal. Most of current DL architectures, however, are still lack of suffici…