activity
20182022
most citedNot All Attention Is All You Need

10 citations · 19 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL20223 cited

Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning

Hongqiu Wu, Ruixue Ding, Hai Zhao +4

Multiple pre-training objectives fill the vacancy of the understanding capability of single-objective language modeling, which serves the ultimate purpose of pre-trained language m…

cs.CL20226 cited

Semantic-Preserving Adversarial Code Comprehension

Yiyang Li, Hongqiu Wu, Hai Zhao

Based on the tremendous success of pre-trained language models (PrLMs) for source code comprehension tasks, current literature studies either ways to further improve the performanc…

cs.CL202110 cited

Not All Attention Is All You Need

Hongqiu Wu, Hai Zhao, Min Zhang

Beyond the success story of pre-trained language models (PrLMs) in recent natural language processing, they are susceptible to over-fitting due to unusual large model size. To this…

cs.CL2020

Code Summarization with Structure-induced Transformer

Hongqiu Wu, Hai Zhao, Min Zhang

Code summarization (CS) is becoming a promising area in recent language understanding, which aims to generate sensible human language automatically for programming language in the…

cs.LG2019

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2

Semantic code search is the task of retrieving relevant code given a natural language query. While related to other information retrieval tasks, it requires bridging the gap betwee…

cs.CR2018

Android Inter-App Communication Threats, Solutions, and Challenges

Jice Wang, Hongqi Wu

Researchers and commercial companies have made a lot of efforts on detecting malware in Android platform. However, a recent malware threat, App collusion, makes malware detection c…