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2020 – today
- 2024
[j4]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): 406-426 (2024)- [c19]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: 714-729 - [c18]Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang:
A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning. ICC 2024: 3982-3987 - [c17]Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang:
FIA-TE: Feature Inference Attack on Decision Tree Ensembles in Vertical Federated Learning. ICME 2024: 1-6 - [i10]Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang:
A GAN-based data poisoning framework against anomaly detection in vertical federated learning. CoRR abs/2401.08984 (2024) - [i9]Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang:
Improving Natural Language Capability of Code Large Language Model. CoRR abs/2401.14242 (2024) - [i8]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 abs/2403.16443 (2024) - [i7]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:
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. CoRR abs/2408.14354 (2024) - 2023
- [c16]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: 7443-7464 - [c15]Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang:
Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. ICME 2023: 1050-1055 - [c14]Bingchao Wu, Yangyuxuan Kang, Bei Guan, Yongji Wang:
We Are Not So Similar: Alleviating User Representation Collapse in Social Recommendation. ICMR 2023: 378-387 - [i6]Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang:
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation. CoRR abs/2304.07506 (2023) - [i5]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 abs/2307.15370 (2023) - 2022
- [c13]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. EMNLP (Findings) 2022: 277-288 - [c12]Bingchao Wu, Chenglong Deng, Bei Guan, Yongji Wang, Yuxuan Kangyang:
Enhancing Sequential Recommendation via Decoupled Knowledge Graphs. ESWC 2022: 3-20 - [c11]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: 2369-2375 - [c10]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: 1-8 - [c9]Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang:
S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. PAKDD (3) 2022: 223-236 - [i4]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 abs/2206.06888 (2022) - [i3]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. CoRR abs/2210.17236 (2022) - [i2]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 abs/2212.09420 (2022) - 2021
- [c8]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: 1242-1248 - 2020
- [j3]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): 17:1-17:36 (2020)
2010 – 2019
- 2019
- [j2]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): 1351-1365 (2019) - [c7]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: 267-273 - 2018
- [c6]Liyang Bi, Yongji Wang, Dacheng Qu, Bei Guan:
A Hybrid Recommendation Method with Multilayer Perception Applied on Real World Data. ACAI 2018: 20:1-20:7 - [c5]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: 330-341 - 2017
- [i1]Issa Khalil, Bei Guan, Mohamed Nabeel, Ting Yu:
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage. CoRR abs/1711.00300 (2017) - 2016
- [c4]Issa Khalil, Ting Yu, Bei Guan:
Discovering Malicious Domains through Passive DNS Data Graph Analysis. AsiaCCS 2016: 663-674 - 2015
- [r1]JingZheng Wu, Yanjun Wu, Bei Guan, Yuqi Lin, Samee U. Khan, Nasro Min-Allah, Yongji Wang:
C2Hunter: Detection and Mitigation of Covert Channels in Data Centers. Handbook on Data Centers 2015: 961-996 - 2014
- [j1]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): 320-332 (2014) - 2013
- [c3]Bei Guan, Yanjun Wu, Liping Ding, Yongji Wang:
CIVSched: Communication-aware Inter-VM Scheduling in Virtual Machine Monitor Based on the Process. CCGRID 2013: 597-604 - 2012
- [c2]Baozeng Ding, Yanjun Wu, Yeping He, Shuo Tian, Bei Guan, Guowei Wu:
Return-Oriented Programming Attack on the Xen Hypervisor. ARES 2012: 479-484 - [c1]Bei Guan, Yanjun Wu, Yongji Wang:
A Novel Security Scheme for Online Banking Based on Virtual Machine. SERE (Companion) 2012: 12-17
Coauthor Index
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last updated on 2024-10-08 21:32 CEST by the dblp team
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