Bei Guan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Decision Tree Ensembles

Question Answering

Top Venues

Publications

Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang
Improving Natural Language Capability of Code Large Language Model. CoRR (2024)
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
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang
A GAN-based data poisoning framework against anomaly detection in vertical federated learning. CoRR (2024)
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
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR (2024)
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
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) (2024)
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
Private-Library-Oriented Code Generation with Large Language Models. CoRR (2023)
Bingchao Wu, Yangyuxuan Kang, Bei Guan, Yongji Wang
We Are Not So Similar: Alleviating User Representation Collapse in Social Recommendation. ICMR (2023)
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation. CoRR (2023)
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou
Large Language Models Meet NL2Code: A Survey. ACL (1) (2023)
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang
Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. ICME (2023)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation. CoRR (2022)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
When Language Model Meets Private Library. EMNLP (Findings) (2022)
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou
When Neural Model Meets NL2Code: A Survey. CoRR (2022)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
When Language Model Meets Private Library. CoRR (2022)
Zan Daoguang, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang
QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. PAKDD (3) (2022)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. IJCAI (2022)
Bingchao Wu, Chenglong Deng, Bei Guan, Yongji Wang, Yuxuan Kangyang
Enhancing Sequential Recommendation via Decoupled Knowledge Graphs. ESWC (2022)
Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. IJCNN (2022)
Xiaolin Chen, Shuai Zhou, Bei Guan, Kai Yang, Hao Fao, Hu Wang, Yongji Wang
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning. IEEE BigData (2021)
Mohamed Nabeel, Issa M. Khalil, Bei Guan, Ting Yu
Following Passive DNS Traces to Detect Stealthy Malicious Domains Via Graph Inference. ACM Trans. Priv. Secur. 23 (4) (2020)
Chong Wang, Nasro Min-Allah, Bei Guan, Yuqi Lin, Jingzheng Wu, Yongji Wang
An Efficient Approach for Mitigating Covert Storage Channel Attacks in Virtual Machines by the Anti-Detection Criterion. J. Comput. Sci. Technol. 34 (6) (2019)
Haoli Ren, Xiaolin Chen, Bei Guan, Yongji Wang, Tiantian Liu, Kongyang Peng
Research on Satellite Orbit Prediction Based on Neural Network Algorithm. HPCCT/BDAI (2019)
Issa M. Khalil, Bei Guan, Mohamed Nabeel, Ting Yu
A Domain is only as Good as its Buddies: Detecting Stealthy Malicious Domains via Graph Inference. CODASPY (2018)
Liyang Bi, Yongji Wang, Dacheng Qu, Bei Guan
A Hybrid Recommendation Method with Multilayer Perception Applied on Real World Data. ACAI (2018)
Issa Khalil, Bei Guan, Mohamed Nabeel, Ting Yu
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage. CoRR (2017)
Issa Khalil, Ting Yu, Bei Guan
Discovering Malicious Domains through Passive DNS Data Graph Analysis. AsiaCCS (2016)
Bei Guan, JingZheng Wu, Yongji Wang, Samee Ullah Khan
CIVSched: A Communication-Aware Inter-VM Scheduling Technique for Decreased Network Latency between Co-Located VMs. IEEE Trans. Cloud Comput. 2 (3) (2014)
Bei Guan, Yanjun Wu, Liping Ding, Yongji Wang
CIVSched: Communication-aware Inter-VM Scheduling in Virtual Machine Monitor Based on the Process. CCGRID (2013)
Baozeng Ding, Yanjun Wu, Yeping He, Shuo Tian, Bei Guan, Guowei Wu
Return-Oriented Programming Attack on the Xen Hypervisor. ARES (2012)
Bei Guan, Yanjun Wu, Yongji Wang
A Novel Security Scheme for Online Banking Based on Virtual Machine. SERE (Companion) (2012)