activity
20202022
most citedMulti-Task Representation Learning with Multi-View Graph Convolutional Networks

43 citations · 82 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2022

Cross-Language Binary-Source Code Matching with Intermediate Representations

Yi Gui, Yao Wan, Hongyu Zhang +5

Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessm…

cs.IR20212 cited

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Yu Song, Jianxun Lian, Shuai Sun +4

User interest exploration is an important and challenging topic in recommender systems, which alleviates the closed-loop effects between recommendation models and user-item interac…

cs.LG202136 cited

Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Dezhong Yao, Wanning Pan, Yutong Dai +5

Federated learning enables multiple clients to collaboratively learn a global model by periodically aggregating the clients' models without transferring the local data. However, du…

cs.SI202143 cited

Multi-Task Representation Learning with Multi-View Graph Convolutional Networks

Hong Huang, Yu Song, Yao Wu +3

Link prediction and node classification are two important downstream tasks of network representation learning. Existing methods have achieved acceptable results but they perform th…

cs.SE20201 cited

NaturalCC: A Toolkit to Naturalize the Source Code Corpus

Yao Wan, Yang He, Jian-Guo Zhang +5

We present NaturalCC, an efficient and extensible toolkit to bridge the gap between natural language and programming language, and facilitate the research on big code analysis. Usi…