Yao Wan

FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization

Lichao Sun, Dezhong Yao, Wanning Pan, 2021, ArXiv.

FedBERT: When Federated Learning Meets Pre-training

Lichao Sun, Lingjuan Lyu, Dezhong Yao, 2022, ACM Trans. Intell. Syst. Technol..

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

Yutong Dai, Lichao Sun, Hai Jin, 2021, 2107.00051.

Cross-Language Binary-Source Code Matching with Intermediate Representations pdf

Zhiyuan Shao, Yulei Sui, Hai Jin, 2022, 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Zichuan Xu, Wenzheng Xu, Daizong Liu, 2023, EMNLP.

You see what I want you to see: poisoning vulnerabilities in neural code search

Guandong Xu, Yulei Sui, Lichao Sun, 2022, ESEC/SIGSOFT FSE.

NaturalCC: An Open-Source Toolkit for Code Intelligence

Philip S. Yu, Jianguo Zhang, Kazuma Hashimoto, 2022, 2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit

Yulei Sui, Yao Wan, Yang He, 2023, ACM Computing Surveys.

: Toward Heterogeneous Federated Learning via Global Knowledge Distillation

Xiaofeng Ding, Dezhong Yao, Wanning Pan, 2024, IEEE Transactions on Computers.

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach

Yulei Sui, Yao Wan, Shijie Zhang, 2024, ArXiv.