LIP

CCF-B

Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo, Alexander Egyed.
Utilizing Creator Profiles for Predicting Valuable User Enhancement Reports. Accepted by JSEP 2025.

CCF-C

Jianbo Lin, Yuang Zhang, Chuanyi Li, Wentao Zou, Jidong Ge, Bin Luo.
Retrieval-Augmented Code Generation of Low-Resource Programming Languages. accepted by APSEC 2025 ERA Track.

CCF-A

Chi, Kuo; Niu, Changan; Yang, Zhou; Li, Chuanyi; Feng, Yi; Ge, Jidong; Luo, Bin; Lo, David; Ng, Vincent.
YourCoLo: Leveraging One-to-Many Relationships and Inter-Code Connections for User Review-Based Code Localization. accepted by ACM TOSEM, 2025.09

CCF-A

Yang, Yaopeng; Li, Chuanyi; Han, Zhifeng; Li, Rui; Xu, Kui; Li, Qingyuan; Zhong, Wenkang; Shen, Zongwen; Fei, Zhiwei; Ge, Jidong; Luo, Bin.
Patch Generation in APR: A Survey from the Perspectives of Utilizing LLMs and Using APR-Specific Information. accepted by ACM TOSEM, 2025.08

CCF-B

Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley Klewerton Guez Assunção, Chuanyi Li, Jidong Ge and Alexander Egyed.
Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. Accepted by ISSRE 2025.

CCF-A

Li, Qingyuan; Yin, Zhixin; Yang, Yaopeng; Li, Chuanyi; Shen, Zongwen; Ge, Jidong; Zhong, Wenkang; Luo, Bin; Ng, Vincent.
IMPACT: Identifying and Classifying Multiple Sourced and Categorized Self-Admitted Technical Debts. accepted by ACM TOSEM, 2025.06

TOP J

Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo.
When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. accepted by ACM Computing Surveys, 2025-05.

CCF-C

Zhihao Li, Chuanyi Li, Changan Niu, Ying Yan, Jidong Ge, Bin Luo.
API-Repo: API-centric Repository-level Code Completion. accepted by Internetware 2025.

CCF-C

Haosheng Zuo, Feifei Niu, Chuanyi Li.
Enhancement Report Approval Prediction: A Comparative Study of Large Language Models. accepted by Internetware 2025.

CCF-A

Zou, Wentao; Shen, Zongwen; Li, Qi; Ge, Jidong; Li, Chuanyi; Chen, Xiang; Shen, Xiaoyu; Huang, LiGuo ; Luo, Bin.
Experimental Evaluation of Parameter-Efficient Fine-Tuning for Software Engineering Tasks. accepted by ACM TOSEM, 2025.03

CCF-B

Yuning Li, Wenkang Zhong, Zongwen Shen, Chuanyi Li, Xiang Chen, Jidong Ge, Bin Luo.
An Empirical Study on the Code Naturalness Modeling Capability for LLMs in Automated Patch Correctness Assessment. ASE Journal, 32(2): 35 (2025)

CCF-A

Shen, Zongwen; Li, Yuning; Ge, Jidong; Chen, Xiang; Li, Chuanyi; Huang, LiGuo; Luo, Bin.
An Empirical Study of Code Simplification Methods in Code Intelligence Tasks. accepted by ACM TOSEM, 2025.02

Jianbo Lin, Yi Shen, Chuanyi Li, Changan Niu, Bin Luo.
OptCodeTrans: Boost LLMs on Low-Resource Programming Language Translation. Forge@ICSE 2025: 67-72.

Chuanyi Li, Jiwei Shang, Yi Feng, Bin Luo.
HyRACC: A Hybrid Retrieval-Augmented Framework for More Efficient Code Completion. Forge@ICSE 2025: 61-66.

CCF-A

Zhiwei Fei, Jidong Ge, Chuanyi Li, Tianqi Wang, Yuning Li, Haodong Zhang, LiGuo Huang, Bin Luo.
Patch Correctness Assessment: A Survey. ACM TOSEM, 34(2): 55:1-55:50 (2025)

CCF-A

Wentao Zou, Qi Li, Chuanyi Li, Jidong Ge, Xiang Chen, LiGuo Huang, Bin Luo.
Improving Source Code Pre-training via Type-Specific Masking. ACM TOSEM, 34(3): 80:1-80:34 (2025)

中文-A

曹帅, 牛菲菲, 李传艺, 陈俊洁, 刘逵, 葛季栋, 骆斌.
深度学习在基于信息检索的缺陷定位中的应用综述(Survey on Deep Learning Applications in Information Retrieval-based Bug Localization). accepted by 软件学报(Ruan Jian Xue Bao/Journal of Software), 2024.

CCF-A

Fan, Ye; Li, Chuanyi; Ge, Jidong; Huang, LiGuo ; Luo, Bin.
Effective Hard Negative Mining for Contrastive Learning-based Code Search. ACM TOSEM, 34(3): 76:1-76:35 (2025)

CCF-A

Zhong, Wenkang; Li, Chuanyi; LIU, Kui; Ge, Jidong; Luo, Bin; Bissyande, Tegawende; Ng, Vincent.
Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java. ACM TOSEM, 34(1): 11:1-11:35 (2025)

CCF-C

Kuo Chi, Chuanyi Li, Jidong Ge, Bin Luo.
An Empirical Study on Code Search Pre-trained Models: Academic Progresses vs. Industry Requirements. Internetware 2024.

CCF-C

Wentao Zou, Zongwen Shen, Jidong Ge, Chuanyi Li, Bin Luo.
CCAF: Learning Code Change via AdapterFusion. Internetware 2024.

CCF-A

Zhihao Li, Chuanyi Li, Ze Tang, Wanhong Huang, Jidong Ge, Bin Luo, Vincent Ng, Ting Wang, Yucheng Hu, Xiaopeng Zhang.
PTM-APIRec: Leveraging Pre-trained Models of Source Code in API Recommendation. ACM TOSEM 2024, 33((3), 72:1-72:30.【Preprint】

Changan Niu, Ting Zhang, Chuanyi Li, Bin Luo, Vincent Ng.
On Evaluating the Efficiency of Source Code Generated by LLMs. FORGE 2024: 103-107.

Feifei Niu, Junqian S, Chaofan X, Christoph M, Wesley K. G. A, LiGuo H, Chuanyi L, Jidong G, Bin L.
RAT: A Refactoring-Aware Tool for Tracking Code History. ICSE Companion 2024: 104-108.

中文-A

申宗汶, 牛菲菲, 李传艺, 陈翔, 李奇, 葛季栋, 骆斌.
融合信息检索和深度模型特征的软件缺陷定位方法(Two-Stage Bug Location Method Combining Information Retrieval and Deep Model Features). accepted by 软件学报(Ruan Jian Xue Bao/Journal of Software), 2023.【Link】

中文-A

李卿源, 钟文康, 李传艺, 葛季栋, 骆斌.
神经程序修复领域数据泄露问题的实证研究(An Empirical Study on the Data Leakage Problem in Neural Program Repair). accepted by 软件学报(Ruan Jian Xue Bao/Journal of Software), 2023.【Link】

CCF-A

ACM SIGSOFT Distinguished Paper Award!
Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bịn Luo.
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. ICSE 2024, 33:1-33:12.【Link】

CCF-A

Wenkang Zhong, Chuanyi Li, Kui Liu, Tongtong Xu, Jidong Ge, Tegawendé F. Bissyandé, Bin Luo, Vincent Ng.
Practical Program Repair via Preference-based Ensemble Strategy. ICSE 2024, 5:1-5:13.【Link】

CCF-B

Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo.
PassSum: Leveraging Paths of Abstract Syntax Trees and Self-Supervision for Code Summarization. JSEP, 36(6) (2024).

CCF-B

Changan Niu, Chuanyi Li, Vincent Ng, Bin Luo.
Comparing the Pre-trained Models of Source Code by Re-pre-training under a Unified Setup. IEEE TNNLS, 35(12): 17768-17778 (2024).

CCF-A

ACM SIGSOFT Distinguished Paper Award!
Ze Tang, Jidong Ge, Shangqing Liu, Tingwei Zhu, Tongtong Xu, Liguo Huang, Bin Luo.
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases. ASE 2023: 421-433.

CCF-A

Wenkang Zhong, Chuanyi Li, Yunfei Zhang, Ziwen Ge, Jingyu Wang, Jidong Ge, Bin Luo.
An Automated and Flexible Multilingual Bug-Fix Dataset Construction System. ASE 2023: 1881-1886.

CCF-C

ACM SIGSOFT Distinguished Paper Award!
Feifei Niu, Christoph Mayr-Dorn, Wesley K. G. Assunção, LiGuo Huang, Jidong Ge, Bin Luo, Alexander Egyed.
The ABLoTS Approach for Bug Localization: is it replicable and generalizable?. MSR 2023: 576-587.

CCF-B

Hongliang Ge, Wenkang Zhong, Chuanyi Li, Jidong Ge, Hao Hu, Bin Luo.
RobustNPR: Evaluating the robustness of Neural Program Repair Models. Journal of Software: Evolution and Process, JSEP 2024, 36(4).

CCF-A

Changan Niu, Chuanyi Li, Vincent Ng, Bịn Luo.
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. ICSE 2023: 537-549.【Preprint】

CCF-A

Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, Bin Luo.
An Empirical Comparison of Pre-Trained Models of Source Code. ICSE 2023: 2136-2148.【Preprint】

CCF-A

Feifei Niu, Wesley K. G. Assunção, LiGuo Huang, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed.
RAT: A Refactoring-Aware Traceability Model for Bug Localization. ICSE 2023: 196-207.

CCF-A

Wenkang Zhong, Hongfei Ai, Hongliang Ge, Chuanyi Li*, Kui Liu, Jidong Ge* and Bin Luo.
StandUp4NPR: Standardizing Setup for Empirically Comparing Neural Program Repair Systems. ASE 2022: 97:1-97:13.

CCF-A

Xinwen Hu, Yu Guo, Jianjie Lu, Zheling Zhu, Chuanyi Li*, Jidong Ge, Liguo Huang and Bin Luo.
Lighting Up Supervised Learning in User Review-Based Code Localization: Dataset and Benchmark. ESEC/SIGSOFT FSE 2022: 533-545.

CCF-C

Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge and Bin Luo.
Towards Just-In-Time Feature Request Approval Prediction. Internetware 2022: 262-271. 【Video】

CCF-C

Wenkang Zhong, Chuanyi Li, Jidong Ge and Bin Luo.
Neural Program Repair: Systems, Challenges and Solutions. Internetware 2022: 96-106. 【Video】

CCF-A

Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng.
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code. IJCAI 2022: 5546-5555. 【PDF】

CCF-A

Changan Niu, Chuanyi Li*, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo.
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. ICSE 2022: 1-13. 【LINK】

CCF-A

Ze Tang, Xiaoyu Shen, Chuanyi Li*, Jidong Ge, Liguo Huang, Zheling Zhu, Bin Luo.
AST-Trans: Code Summarization with Efficient Tree-Structured Attention. ICSE 2022: 150-162. 【LINK】

中文-A

Niu FF, Li CY*, Ge JD, Luo B.
A Survey of User Feature Requests Analysis and Processing(用户特征请求分析与处理研究综述). Ruan Jian Xue Bao/Journal of Software(软件学报), 2022.(In Chinese) 【LINK】

中文-A

Tang Z, Li CY*, Ge JD, Luo B.
A Method of API Completing Based on Object Type(基于对象类型的API补全方法). Ruan Jian Xue Bao/Journal of Software(软件学报), 2022.(In Chinese) 【LINK】

Ze Tang, Chuanyi Li*, Jidong Ge, Xiaoyu Shen, Zheling Zhu, Bin Luo.
AST-Transformer: Encoding Abstract Syntax TreesEfficiently for Code Summarization. ASE 2021: 1193-1195. 【LINK】

中文-A

Niu C, Ge JD, Tang Z, Li CY*, Zhou Y, Luo B.
Automatic generation model of source code comments based on pointer-generator Network(基于指针生成网络的代码注释自动生成模型). Ruan Jian Xue Bao/Journal of Software(软件学报), 2021, 32(7): 1-25.(In Chinese)【PDF】

中文-A

Zhong WK, Ge JD, Chen X, Li CY*, Tang Z, Luo B.
Multi-granularity metamorphic testing for neural machine translation system(面向神经机器翻译系统的多粒度蜕变测试). Ruan Jian Xue Bao/Journal of Software(软件学报), 2021, 32(4): 1-17.(In Chinese)【PDF】

Feifei Niu, Chuanyi Li*, Bin Luo.
A Deep Classifier for Crowdsourcing User Requests. Modern Industrial IoT, Big Data and Supply Chain: Proceedings of the IIoTBDSC 2020.【PDF】

FU Guangyu, LI Chuanyi*, GE Jidong, LUO Bin.
Retrieving Reusable Software by Constructing Functional Descriptions. Journal of Applied Sciences, vol.38, issue 5, pp.682-694, 2020(in Chinese).【PDF】

Chuanyi Li, Jidong Ge*, Victor Chang, Bin Luo.
Retrieving Similar Software from Large-scale Open-source Repository by Constructing Representation of Project Description. IoTBDS 2020, Prague, Czech Republic, 7-9 May, 2020.【PDF】

CCF-A

Xiaoyu Liu, Liguo Huang, Jidong Ge, Vincent Ng.
Predicting Licenses for Changed Source Code. the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), pp.686-697, 2019

CCF-B

Xiaoyu Liu, Liguo Huang*, Chuanyi Li, Vincent Ng.
Linking Source Code to Untangled Change Intents. the 34th IEEE International Conference on Software Maintenance and Evolution (ICSME), Madrid, Spain, September 23-29, 2018

CCF-B

Chuanyi Li, Liguo Huang, Jidong Ge*, Bin Luo, Vincent Ng.
Automatically classifying user requests in crowdsourcing requirements engineering. Journal of Systems and Software, JSS, 138: 108-123, 2018.【PDF】

CCF-A

Zhuo Han, Yi Yang, Yi Feng, Wanhong Huang, Ding Xuxing, Chuanyi Li, Jidong Ge, Vincent Ng
LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts. Accepted by NeurIPS 2025 Datasets and Benchmarks Track.

CCF-B

Yi Feng, Chuanyi Li, Jiatong He, Zhenyu Hou, Vincent Ng
Multi-Modal Neural Machine Translation: A Survey of the State of the Art. Accepted by EMNLP 2025 Main Conference.

CCF-A

Yi Feng, Chuanyi Li, Vincent Ng.
Understanding Advertisements. AAAI 2025. 28576-28585.

CCF-B

Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, Dawei Zhu, Xiao Wang, Jidong Ge and Vincent Ng.
InternLM-Law: An Open-Sourced Chinese Legal Large Language Model. accepted by COLING 2025.

CCF-B

Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng.
LawBench: Benchmarking Legal Knowledge of Large Language Models. EMNLP 2024,7933–7962.

CCF-A

Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, Vincent Ng.
CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset. ACL (Findings) 2024: 5895-5906.

CCF-A

Yuan Zhang, Wanhong Huang, Yi Feng, Chuanyi Li, Zhiwei Fei, Jidong Ge, Bin Luo, Vincent Ng.
LJPCheck: Functional Tests for Legal Judgment Prediction. ACL (Findings) 2024: 5878-5894.

CCF-A

Yi Feng, Chuanyi Li, Vincent Ng.
Legal Case Retrieval: A Survey of the State of the Art. ACL (1) 2024: 6472-6485.

CCF-B

Zhiqiang Hao, Chuanyi Li, Xiao Fu, Bin Luo, Xiaojiang Du.
Leveraging Hierarchies: HMCAT for Efficiently Mapping CTI to Attack Techniques. ESORICS (4) 2024: 65-85.

CCF-C

Yuan Zhang, Chuanyi Li, Yu Sheng, Jidong Ge, Bin Luo.
Judicial Intelligent Assistant System: Extracting Events from Chinese Divorce Cases to Detect Disputes for the Judge. Expert Systems, 2024, 41(7).

CCF-A

Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang and Bin Luo.
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Transactions on Image Processing (TIP), 32: 3442-3454 (2023).

CCF-B

Chuanyi Li, Jidong Ge, Kun Cheng, Bin Luo, Victor Chang.
Statute Recommendation: Re-ranking Statutes by Modeling Case-Statute Relation with Interpretable Hand-crafted Features. Information Sciences, Volume 607, August 2022, Pages 1023-1040 【PDF】【Video】

CCF-A

Li Kong, Chuanyi Li, Vincent Ng.
Deexaggeration. IJCAI 2022: 4185-4192. 【PDF】

CCF-A

Yi Feng, Chuanyi Li, Vincent Ng.
Legal Judgment Prediction: A Survey of the State of the Art. IJCAI 2022: 5461-5469. 【PDF】

CCF-A

Yi Feng, Chuanyi Li*, Vincent Ng.
Legal Judgment Prediction via Event Extraction with Constraints. ACL (1) 2022: 648-664. 【Slides】 【PDF】

CCF-A

Li Kong, Chuanyi Li*, Jidong Ge, Vincent Ng, Bin Luo.
Predicting Product Review Helpfulness – A Hybrid Method. IEEE Transactions on Services Computing, IEEE TSC, 15(4): 2213-2225, 2022.【LINK】

CCF-B

Jidong Ge, Yunyun Huang, Xiaoyu Shen, Chuanyi Li*, and Wei Hu.
Learning Fine-grained Fact-Article Correspondence in Legal Cases. IEEE/ACM Transactions on Audio, Speech and Language Processing, IEEE/ACM T-ASL 2021, 29: 3694-3706.【LINK】

Yi Feng, Ting Wang, Chuanyi Li*, Vincent Ng, Jidong Ge, Bin Luo, Yucheng Hu and Xiaopeng Zhang.
Don't Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting. Findings of the Association for Computational Linguistics: EMNLP 2021, pp.1493–1503.【PDF】

中文-A

FENG Yi, ZHOU Xiaosong, LI Chuanyi*, WANG Ting, GE Jidong, HU Yucheng, ZHANG Xiaopeng, LUO Bin.
A Multi-modal Feature Fusion Embedding Method for Similar Ad Retrieving (基于多模态特征融合嵌入的相似广告检索方法). CHINESE JOURNAL OF COMPUTERS (计算机学报) 2021 (In Chinese). 【PDF】

CCF-A

Yuxiang Liu, Jidong Ge*, Chuanyi Li, Jie Gui*.
Delving into variance transmission and normalization: Shift of average gradient makes the network collapse. AAAI Conference on Artificial Intelligence, AAAI 2021: 2216-2224.【LINK】

CCF-B

Yi Feng, Chuanyi Li*, Jidong Ge, Bin Luo, Vincent Ng.
Recommending Statutes: A Portable Method Based on Neural Networks. ACM Transactions on Knowledge Discovery from Data, ACM TKDD, 15(2):1-22, March 2021.【LINK】

CCF-B

Li Kong, Chuanyi Li*, Jidong Ge, Bin Luo, Vincent Ng.
Identifying Exaggerated Language. 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020: 7024-7034.【Data】【PDF】

CCF-B

Li Kong, Chuanyi Li*, Jidong Ge, Feifei Zhang, Yi Feng, Bin Luo.
Leveraging Multiple Features for Document Sentiment Classification. Information Sciences, vol.518, pp.39-55, 2020.【LINK】

CCF-C

Yi Feng, Chuanyi Li*, Jidong Ge, Bin Luo.
Improving Statute Prediction via Mining Correlations between Statutes. ACML 2019, Nagoya, Japan, November 17-19, 2019: 710-725.【PDF】

Chuanyi Li, Yu Sheng, Jidong Ge*, Bin Luo.
Apply event extraction techniques to the judicial field. UbiComp/ISWC Adjunct 2019, London, UK, September 9-13, 2019:492-497.【PDF】

CCF-C

Chuanyi Li, Jingjing Ye, Jidong Ge*, Li Kong, Haiyang Hu, Bin Luo.
A Novel Convolutional Neural Network for Statutes Recommendation. The 15th Pacific Rim International Conference on Artificial Intelligence, 2018: 851-863【PDF】

CCF-C

Li Kong, Chuanyi Li*, Jidong Ge, Yufan Yang, Feifei Zhang, Bin Luo.
Construction of Microblog-Specific Chinese Sentiment Lexicon Based on Representation Learning. The 15th Pacific Rim International Conference on Artificial Intelligence, 2018: 204-216【PDF】

CCF-C

Yi Feng, Jidong Ge, Chuanyi Li*, Li Kong, Feifei Zhang, Bin Luo.
Statutes Recommendation Using Classification and Co-occurrence Between Statutes. PRICAI 2018: 326-334

CCF-C

Xiaosong Zhou, Chuanyi Li*, Jidong Ge, Zhongjin Li, Xiaoyu Zhou, Bin Luo.
Automatically Classifying Chinese Judgment Documents Using Character-Level Convolutional Neural Networks. PRICAI 2018: 430-437

CCF-A

Feifei Zhang, Mao Li, Jidong Ge, Fenghui Tang, Sheng Zhang, Jie Wu, and Bin Luo.
Privacy-Preserving Federated Neural Architecture Search With Enhanced Robustness for Edge Computing. accepted by IEEE Transactions on Mobile Computing (TMC) 2024.

CCF-A

Ye Fan, Jidong Ge, Sheng Zhang, Jie Wu and Bin Luo.
Decentralized Scheduling for Concurrent Tasks in Mobile Edge Computing via Deep Reinforcement Learning. accepted by IEEE Transactions on Mobile Computing (TMC) 2023.

CCF-A

Liang, Yu and Ge, Jidong and Zhang, Sheng and Wu, Jie and Pan, Lingwei and Zhang, Tengfei and Luo, Bin.
Interaction-Oriented Service Entity Placement in Edge Computing. IEEE Transactions on Mobile Computing, Volume: 20, Issue: 3, March 1 2021.

CCF-C

Feifei Zhang,Jidong Ge*,Chifong Wong,Sheng Zhang,Chuanyi Li,Bin Luo.
Optimizing Federated Edge Learning on Non-IID Data via Neural Architecture Search. accepted by 2021 IEEE Global Communications Conference, GLOBECOM 2021.

CCF-A

Liang, Yu and Ge, Jidong and Zhang, Sheng and Wu, Jie and Tang, Ze and Luo, Bin.
A Utility-Based Optimization Framework for Edge Service Entity Caching. IEEE Transactions on Parallel and Distributed Systems, Volume: 30, Issue: 11, Nov. 1 2019.

CCF-B

Yu Liang, Jidong Ge, Sheng Zhang, Bin Luo.
Modeling and deploying hybrid tenant requests with shared networklets. Computer Networks, 153:63-72, 2019.

CCF-B

Feifei Zhang, Jidong Ge*, Chifong Wong, Chuanyi Li, Xingguo Chen, Sheng Zhang, Bin Luo, He Zhang, Victor Chang.
Online learning offloading framework for heterogeneous mobile edge computing system. Journal of Parallel Distributed Computing, JPDC, 128: 167-183, 2019.

CCF-C

Feifei Zhang, Jidong Ge*, Zhongjin Li, Chuanyi Li, Chifong Wong, Li Kong, Bin Luo, Victor Chang.
A load-aware resource allocation and task scheduling for the emerging cloudlet system. Future Generation Computer Systems, FGCS, vol 87: 438-456, 2018.

CCF-C

Zhongjin Li, Jidong Ge*, Chuanyi Li, Hongji Yang, Haiyang Hu, Bin Luo, and Victor Chang.
Minimization with Job Security Guarantee in Internet Data Center. Future Generation Computer Systems, FGCS, 73: 63-78, 2017.

CCF-A

Feifei Niu, Chuanyi Li*, Jidong Ge, Lijie Wen, Zhongjin Li, and Bin Luo.
Measuring Business Process Behavioral Similarity Based on Token Log Profile. IEEE Transactions on Services Computing, 15(6): 3344-3357 (2022).【LINK】

CCF-C

Chuanyi Li, Jidong Ge*, Lijie Wen, Li Kong, Victor Chang, Liguo Huang, Bin Luo.
A Novel Completeness Definition of Event Logs Corresponding Generating Algorithm. Expert Systems - The Journal of Knowledge Engineering, 37(4), 2020【PDF】

Li Kong, Chuanyi Li*, Jidong Ge, Zhongjin Li, Feifei Zhang, Bin Luo.
An Efficient Heuristic Method for Repairing Event Logs Independent of Process Models. Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, IoTBDS 2019:83-93.【PDF】

CCF-B

Chuanyi Li, Jidong Ge*, Zhongjin Li, Liguo Huang, Hongji Yang, and Bin Luo.
Monitoring Interactions across Multi Business Processes with Token Carried Data. IEEE Transactions on Services Computing, IEEE TSC, 12(6): 941-954, 2019.【LINK】

CCF-B

Haiyang Hu, Zhongjin Li*, Hua Hu, Jie Chen, Jidong Ge, Chuanyi Li, Victor Chang.
Multi-objective scheduling for scientific workflow in multicloud environment. Journal of Network and Computer Applications, JNCA, vol 114: 108-122, 2018.

CCF-B

Chuanyi Li, Jidong Ge*, Liguo Huang, Haiyang Hu, Budan Wu, Hao Hu, Bin Luo.
Software Cybernetics in BPM: Modeling Software Behavior as Feedback for Evolution by a Novel Discovery Method Based on Augmented Event Logs. Journal of Systems and Software, JSS, 124: 260-273, 2017.【PDF】

CCF-B

Chuanyi Li, Jidong Ge*, Liguo Huang, Haiyang Hu, Budan Wu, Hongji Yang, Hao Hu, Bin Luo.
Process Mining with Token Carried Data. Information Sciences, 328: 558-576, 2016.【PDF】

中文-A

Zhou YM, Li ZJ, Ge JD*, Li CY, Zhou XY, Luo B.
Multi-Objective Workflow Scheduling Based on Delay Transmission in Mobile Cloud Computing. Journal of Software, 2018, 29(11): 3306-3325(in Chinese).

中文-A

LI Chuan-Yi, GE Ji-Dong*, HU Hai-Yang, HU Hao, LUO Bin.
Method for Conformance Checking Based on Token Log. Ruan Jian Xue Bao/ Journal of Software, 2015, 26(3):509-532(in Chinese).