47 citations · 134 across the 11 of their papers we have counts for
11 papers
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Kunpeng Zhang, Xiaogang Zhu, Xi Xiao +3
Mutation-based fuzzing is popular and effective in discovering unseen code and exposing bugs. However, only a few studies have concentrated on quantifying the importance of input b…
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding
Kunpeng Zhang, Lan Wu, Liang Zheng +2
Large-scale data missing is a challenging problem in Intelligent Transportation Systems (ITS). Many studies have been carried out to impute large-scale traffic data by considering…
Path Transitions Tell More:Optimizing Fuzzing Schedules via Runtime Program States
Kunpeng Zhang, Xi Xiao, Xiaogang Zhu +3
Coverage-guided Greybox Fuzzing (CGF) is one of the most successful and widely-used techniques for bug hunting. Two major approaches are adopted to optimize CGF: (i) to reduce sear…
Self-supervised Representation Learning for Trip Recommendation
Qiang Gao, Wei Wang, Kunpeng Zhang +2
Trip recommendation is a significant and engaging location-based service that can help new tourists make more customized travel plans. It often attempts to suggest a sequence of po…
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +2
In this paper, we present a denoising sequence-to-sequence (seq2seq) autoencoder via contrastive learning for abstractive text summarization. Our model adopts a standard Transforme…
CCGL: Contrastive Cascade Graph Learning
Xovee Xu, Fan Zhou, Kunpeng Zhang +1
Supervised learning, while prevalent for information cascade modeling, often requires abundant labeled data in training, and the trained model is not easy to generalize across task…
A Two-Phase Approach for Abstractive Podcast Summarization
Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +1
Podcast summarization is different from summarization of other data formats, such as news, patents, and scientific papers in that podcasts are often longer, conversational, colloqu…
Topic-Guided Abstractive Text Summarization: a Joint Learning Approach
Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +2
We introduce a new approach for abstractive text summarization, Topic-Guided Abstractive Summarization, which calibrates long-range dependencies from topic-level features with glob…
A Baseline Analysis for Podcast Abstractive Summarization
Chujie Zheng, Harry Jiannan Wang, Kunpeng Zhang +1
Podcast summary, an important factor affecting end-users' listening decisions, has often been considered a critical feature in podcast recommendation systems, as well as many downs…
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
Fan Zhou, Xovee Xu, Ce Li +3
Quantifying and predicting the long-term impact of scientific writings or individual scholars has important implications for many policy decisions, such as funding proposal evaluat…
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang +3
Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i.e., acquiring new knowledge and skills with little or even no de…