Bei Guan

36 papers A* 1A 3B 5Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Improved Pipeline Disease Grading Detection Method for Visual Inspection of Sewer Pipeline Robots.
ICMEW
Ce Li, Shuo Li, Xinyi Duan, Bei Guan
2025 J jnl
Private-library-oriented code generation with large language models.
Knowl. Based Syst.
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
2024 — conf
A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning.
ICC
Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang
2024 J jnl
A GAN-based data poisoning framework against anomaly detection in vertical federated learning.
CoRR
Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang
2024 — conf
CodeM: Less Data Yields More Versatility via Ability Matrix.
ACL (Findings)
Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui
2024 J jnl
CodeS: Natural Language to Code Repository via Multi-Layer Sketch.
CoRR
Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui
2024 J jnl
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises.
Proc. ACM Softw. Eng.
Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui
2024 A conf
FIA-TE: Feature Inference Attack on Decision Tree Ensembles in Vertical Federated Learning.
ICME
Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang
2024 J jnl
Improving Natural Language Capability of Code Large Language Model.
CoRR
Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang
2024 J jnl
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java.
CoRR
Daoguang Zan, Zhirong Huang, Ailun Yu, Shaoxin Lin, Yifan Shi, Wei Liu, Dong Chen, Zongshuai Qi, Hao Yu, Lei Yu, Dezhi Ran, Muhan Zeng, Bo Shen, Pan Bian, Guangtai Liang, Bei Guan, Pengjie Huang, Tao Xie, Yongji Wang, Qianxiang Wang
2023 A conf
Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation.
ICME
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang
2023 J jnl
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation.
CoRR
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang
2023 — conf
Large Language Models Meet NL2Code: A Survey.
ACL (1)
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou
2023 J jnl
Private-Library-Oriented Code Generation with Large Language Models.
CoRR
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
2023 B conf
We Are Not So Similar: Alleviating User Representation Collapse in Social Recommendation.
ICMR
Bingchao Wu, Yangyuxuan Kang, Bei Guan, Yongji Wang
2022 J jnl
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation.
CoRR
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
2022 A* conf
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation.
IJCAI
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
2022 B conf
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction.
IJCNN
Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang
2022 B conf
Enhancing Sequential Recommendation via Decoupled Knowledge Graphs.
ESWC
Bingchao Wu, Chenglong Deng, Bei Guan, Yongji Wang, Yuxuan Kangyang
2022 — conf
S
PAKDD (3)
Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang
2022 — conf
When Language Model Meets Private Library.
EMNLP (Findings)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
2022 J jnl
When Language Model Meets Private Library.
CoRR
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
2022 J jnl
When Neural Model Meets NL2Code: A Survey.
CoRR
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou
2021 — conf
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning.
IEEE BigData
Xiaolin Chen, Shuai Zhou, Bei Guan, Kai Yang, Hao Fao, Hu Wang, Yongji Wang
2020 J jnl
Following Passive DNS Traces to Detect Stealthy Malicious Domains Via Graph Inference.
ACM Trans. Priv. Secur.
Mohamed Nabeel, Issa M. Khalil, Bei Guan, Ting Yu
2019 J jnl
An Efficient Approach for Mitigating Covert Storage Channel Attacks in Virtual Machines by the Anti-Detection Criterion.
J. Comput. Sci. Technol.
Chong Wang, Nasro Min-Allah, Bei Guan, Yuqi Lin, Jingzheng Wu, Yongji Wang
2019 — conf
Research on Satellite Orbit Prediction Based on Neural Network Algorithm.
HPCCT/BDAI
Haoli Ren, Xiaolin Chen, Bei Guan, Yongji Wang, Tiantian Liu, Kongyang Peng
2018 — conf
A Domain is only as Good as its Buddies: Detecting Stealthy Malicious Domains via Graph Inference.
CODASPY
Issa M. Khalil, Bei Guan, Mohamed Nabeel, Ting Yu
2018 — conf
A Hybrid Recommendation Method with Multilayer Perception Applied on Real World Data.
ACAI
Liyang Bi, Yongji Wang, Dacheng Qu, Bei Guan
2017 J jnl
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage.
CoRR
Issa Khalil, Bei Guan, Mohamed Nabeel, Ting Yu
2016 A conf
Discovering Malicious Domains through Passive DNS Data Graph Analysis.
AsiaCCS
Issa Khalil, Ting Yu, Bei Guan
2015 — ch.
C2Hunter: Detection and Mitigation of Covert Channels in Data Centers.
Handbook on Data Centers
Jingzheng Wu, Yanjun Wu, Bei Guan, Yuqi Lin, Samee U. Khan, Nasro Min-Allah, Yongji Wang
2014 J jnl
CIVSched: A Communication-Aware Inter-VM Scheduling Technique for Decreased Network Latency between Co-Located VMs.
IEEE Trans. Cloud Comput.
Bei Guan, Jingzheng Wu, Yongji Wang, Samee Ullah Khan
2013 B conf
CIVSched: Communication-aware Inter-VM Scheduling in Virtual Machine Monitor Based on the Process.
CCGRID
Bei Guan, Yanjun Wu, Liping Ding, Yongji Wang
2012 — conf
A Novel Security Scheme for Online Banking Based on Virtual Machine.
SERE (Companion)
Bei Guan, Yanjun Wu, Yongji Wang
2012 B conf
Return-Oriented Programming Attack on the Xen Hypervisor.
ARES
Baozeng Ding, Yanjun Wu, Yeping He, Shuo Tian, Bei Guan, Guowei Wu