Return-Oriented Programming Attack on the Xen Hypervisor. - Baozeng Ding; Yanjun Wu; Yeping He; Shuo Tian; Bei Guan; Guowei Wu (ARES, 2012)

A Novel Security Scheme for Online Banking Based on Virtual Machine. - Bei Guan; Yanjun Wu; Yongji Wang 002 (SERE (Companion), 2012)

CIVSched: Communication-aware Inter-VM Scheduling in Virtual Machine Monitor Based on the Process. - Bei Guan; Yanjun Wu; Liping Ding; Yongji Wang 002 (CCGRID, 2013)

CIVSched: A Communication-Aware Inter-VM Scheduling Technique for Decreased Network Latency between Co-Located VMs. - Bei Guan; JingZheng Wu; Yongji Wang 002; Samee Ullah Khan (IEEE Trans. Cloud Comput., 2014)

C2Hunter: Detection and Mitigation of Covert Channels in Data Centers. - JingZheng Wu; Yanjun Wu; Bei Guan; Yuqi Lin; Samee U. Khan; Nasro Min-Allah; Yongji Wang 002 (Handbook on Data Centers, 2015)

Discovering Malicious Domains through Passive DNS Data Graph Analysis. - Issa Khalil; Ting Yu 001; Bei Guan (AsiaCCS, 2016)

Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage. - Issa Khalil; Bei Guan; Mohamed Nabeel; Ting Yu 001 (CoRR, 2017)

A Hybrid Recommendation Method with Multilayer Perception Applied on Real World Data. - Liyang Bi; Yongji Wang 002; Dacheng Qu; Bei Guan (ACAI, 2018)

A Domain is only as Good as its Buddies: Detecting Stealthy Malicious Domains via Graph Inference. - Issa M. Khalil; Bei Guan; Mohamed Nabeel; Ting Yu 001 (CODASPY, 2018)

Research on Satellite Orbit Prediction Based on Neural Network Algorithm. - Haoli Ren; Xiaolin Chen; Bei Guan; Yongji Wang 002; Tiantian Liu; Kongyang Peng (HPCCT/BDAI, 2019)

An Efficient Approach for Mitigating Covert Storage Channel Attacks in Virtual Machines by the Anti-Detection Criterion. - Chong Wang; Nasro Min-Allah; Bei Guan; Yuqi Lin; Jingzheng Wu; Yongji Wang 002 (J. Comput. Sci. Technol., 2019)

Following Passive DNS Traces to Detect Stealthy Malicious Domains Via Graph Inference. - Mohamed Nabeel; Issa M. Khalil; Bei Guan; Ting Yu 001 (ACM Trans. Priv. Secur., 2020)

Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning. - Xiaolin Chen; Shuai Zhou 001; Bei Guan; Kai Yang; Hao Fao; Hu Wang; Yongji Wang 002 (IEEE BigData, 2021)

When Language Model Meets Private Library. - Daoguang Zan; Bei Chen 008; Zeqi Lin; Bei Guan; Yongji Wang 002; Jian-Guang Lou (EMNLP (Findings), 2022)

Enhancing Sequential Recommendation via Decoupled Knowledge Graphs. - Bingchao Wu; Chenglong Deng; Bei Guan; Yongji Wang 002; Yuxuan Kangyang (ESWC, 2022)

CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. - Daoguang Zan; Bei Chen 008; Dejian Yang; Zeqi Lin; Minsu Kim; Bei Guan; Yongji Wang 002; Weizhu Chen; Jian-Guang Lou (IJCAI, 2022)

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. - Daoguang Zan; Sirui Wang; Hongzhi Zhang; Kun Zhou 002; Wei Wu 014; Wayne Xin Zhao; Bingchao Wu; Bei Guan; Yongji Wang 002 (IJCNN, 2022)

S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. - Daoguang Zan; Sirui Wang; Hongzhi Zhang; Yuanmeng Yan; Wei Wu 014; Bei Guan; Yongji Wang 002 (PAKDD (3), 2022)

When Neural Model Meets NL2Code: A Survey. - Daoguang Zan; Bei Chen 008; Fengji Zhang; Dianjie Lu; Bingchao Wu; Bei Guan; Yongji Wang 002; Jian-Guang Lou (CoRR, 2022)

Large Language Models Meet NL2Code: A Survey. - Daoguang Zan; Bei Chen 008; Fengji Zhang; Dianjie Lu; Bingchao Wu; Bei Guan; Yongji Wang 002; Jian-Guang Lou (ACL (1), 2023)

Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. - Bingchao Wu; Yangyuxuan Kang; Daoguang Zan; Bei Guan; Yongji Wang 002 (ICME, 2023)

We Are Not So Similar: Alleviating User Representation Collapse in Social Recommendation. - Bingchao Wu; Yangyuxuan Kang; Bei Guan; Yongji Wang 002 (ICMR, 2023)

CodeM: Less Data Yields More Versatility via Ability Matrix. - Daoguang Zan; Ailun Yu; Wei Liu 007; Bo Shen; Shaoxin Lin; Yongshun Gong; Yafen Yao; Yan Liu; Bei Guan; Weihua Luo; Yongji Wang 002; Qianxiang Wang; et al. (ACL (Findings), 2024)

A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning. - Xiaolin Chen; Daoguang Zan; Wei Li; Bei Guan; Yongji Wang (ICC, 2024)

FIA-TE: Feature Inference Attack on Decision Tree Ensembles in Vertical Federated Learning. - Xiaolin Chen; Daoguang Zan; Wei Li; Bei Guan; Yongji Wang (ICME, 2024)

Improving Natural Language Capability of Code Large Language Model. - Wei Li; Daoguang Zan; Bei Guan; Ailun Yu; Xiaolin Chen; Yongji Wang (CoRR, 2024)

CodeS: Natural Language to Code Repository via Multi-Layer Sketch. - Daoguang Zan; Ailun Yu; Wei Liu 007; Dong Chen 015; Bo Shen; Wei Li; Yafen Yao; Yongshun Gong; Xiaolin Chen; Bei Guan; Zhiguang Yang; Yongji Wang 002; et al. (CoRR, 2024)

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. - Daoguang Zan; Zhirong Huang; Ailun Yu; Shaoxin Lin; Yifan Shi; Wei Liu 007; Dong Chen 015; Zongshuai Qi; Hao Yu 016; Lei Yu; Dezhi Ran; Muhan Zeng; et al. (CoRR, 2024)

DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. - Daoguang Zan; Ailun Yu; Bo Shen; Bei Chen 008; Wei Li; Yongshun Gong; Xiaolin Chen; Yafen Yao; Weihua Luo; Bei Guan; Yan Liu; Yongji Wang 002; et al. (Proc. ACM Softw. Eng., 2024)

Improved Pipeline Disease Grading Detection Method for Visual Inspection of Sewer Pipeline Robots. - Ce Li; Shuo Li; Xinyi Duan; Bei Guan (ICMEW, 2025)

Private-library-oriented code generation with large language models. - Daoguang Zan; Bei Chen 008; Yongshun Gong; Junzhi Cao; Fengji Zhang; Bingchao Wu; Bei Guan; Yilong Yin; Yongji Wang 002 (Knowl. Based Syst., 2025)