activity
20202022
most citedChannel Compression: Rethinking Information Redundancy among Channels in CNN Architecture

27 citations · 34 across the 7 of their papers we have counts for

collaborators

9 papers

cs.IR2022

Leveraging Search History for Improving Person-Job Fit

Yupeng Hou, Xingyu Pan, Wayne Xin Zhao +4

As the core technique of online recruitment platforms, person-job fit can improve hiring efficiency by accurately matching job positions with qualified candidates. However, existin…

cs.CV2022

RRL:Regional Rotation Layer in Convolutional Neural Networks

Zongbo Hao, Tao Zhang, Mingwang Chen +1

Convolutional Neural Networks (CNNs) perform very well in image classification and object detection in recent years, but even the most advanced models have limited rotation invaria…

eess.SY20222 cited

End-to-End Quality-of-Service Assurance with Autonomous Systems: 5G/6G Case Study

Van Sy Mai, Richard J. La, Tao Zhang +1

Providing differentiated services to meet the unique requirements of different use cases is a major goal of the fifth generation (5G) telecommunication networks and will be even mo…

cs.MA2021

On the Equilibrium Elicitation of Markov Games Through Information Design

Tao Zhang, Quanyan Zhu

This work considers a novel information design problem and studies how the craft of payoff-relevant environmental signals solely can influence the behaviors of intelligent agents.…

cs.NE2021

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems

Kaiwen Li, Tao Zhang, Rui Wang Yuheng Wang +1

This paper introduces a new deep learning approach to approximately solve the Covering Salesman Problem (CSP). In this approach, given the city locations of a CSP as input, a deep…

cs.LG2021

Improving the Certified Robustness of Neural Networks via Consistency Regularization

Mengting Xu, Tao Zhang, Zhongnian Li +1

A range of defense methods have been proposed to improve the robustness of neural networks on adversarial examples, among which provable defense methods have been demonstrated to b…