activity
20182021
most citedGenerating Informative CVE Description From ExploitDB Posts by Extractive Summarization

15 citations · 18 across the 3 of their papers we have counts for

collaborators

6 papers

cs.LG202115 cited

Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization

Jiamou Sun, Zhenchang Xing, Hao Guo +4

ExploitDB is one of the important public websites, which contributes a large number of vulnerabilities to official CVE database. Over 60\% of these vulnerabilities have high- or cr…

cs.SE2020

A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps

Wei Wang, Guozhu Meng, Haoyu Wang +3

Authorship identification is the process of identifying and classifying authors through given codes. Authorship identification can be used in a wide range of software domains, e.g.…

cs.SE20203 cited

Predicting Missing Information of Key Aspects in Vulnerability Reports

Hao Guo, Zhenchang Xing, Xiaohong Li

Software vulnerabilities have been continually disclosed and documented. An important practice in documenting vulnerabilities is to describe the key vulnerability aspects, such as…

cs.LG2019

An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms

Qianyu Guo, Sen Chen, Xiaofei Xie +6

Deep Learning (DL) has recently achieved tremendous success. A variety of DL frameworks and platforms play a key role to catalyze such progress. However, the differences in archite…

cs.AI2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions

Chengwei Zhang, Xiaohong Li, Jianye Hao +5

Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with c…

cs.AI2018

SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes

Chengwei Zhang, Xiaohong Li, Jianye Hao +3

In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment. From the system desig…