An empirical investigation of missing data handling in cloud node failure prediction

- Ma, Minghua, Liu, Yudong, Rajmohan, Saravanakumar, Lin, Qingwei, Tong, Yuang, Li, Haozhe, Zhao, Pu, Xu, Yong, Zhang, Hongyu, He, Shilin, Wang, Lu, Dang, Yingnong

Cross-Domain Deep Code Search with Meta Learning

- Chai, Yitian, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong

Cross-Language Binary-Source Code Matching with Intermediate Representations

- Gui, Yi, Wan, Yao, Zhang, Hongyu, Huang, Huifang, Sui, Yulei, Xu, Guandong, Shao, Zhiyuan, Jin, Hai

Diet code is healthy: simplifying programs for pre-trained models of code

- Zhang, Zhaowei, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong

DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization

- Qi, Binhang, Sun, Hailong, Yuan, Wei, Zhang, Hongyu, Meng, Xiangxin

Exploring Representation-Level Augmentation for Code Search

- Li, Haochen, Miao, Chunyan, Leung, Cyril, Huang, Yanxian, Huang, Yuan, Zhang, Hongyu, Wang, Yanlin

HELoC: Hierarchical Contrastive Learning of Source Code Representation

- Wang, Xiao, Wu, Qiong, Zhang, Hongyu, Lyu, Chen, Jiang, Xue, Zheng, Zhuoran, Lyu, Lei, Hu, Songlin

Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge

- Meng, Xiangxin, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Liu, Xudong

LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries

- Tang, Wei, Wang, Yanlin, Zhang, Hongyu, Han, Shi, Luo, Ping, Zhang, Dongmei

Log-based Anomaly Detection with Deep Learning: How Far Are We?

- Le, Van-Hoang, Zhang, Hongyu

LogGD: Detecting Anomalies from System Logs with Graph Neural Networks

- Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

- Liu, Yudong, Yang, Hailan, Zhang, Chenjian, Wang, Paul, Dang, Yingnong, Rajmohan, Saravan, Zhang, Dongmei, Zhao, Pu, Ma, Minghua, Wen, Chengwu, Zhang, Hongyu, Luo, Chuan, Lin, Qingwei, Yi, Chang, Wang, Jiaojian

NaturalCC: An Open-Source Toolkit for Code Intelligence

- Wan, Yao, He, Yang, Yu, Philip S., Bi, Zhangqian, Zhang, Jianguo, Sui, Yulei, Zhang, Hongyu, Hashimoto, Kazuma, Jin, Hai, Xu, Guandong, Xiong, Caiming

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

- Wang, Lu, Zhao, Pu, Zhang, Hongyu, Rajmohan, Saravan, Zhang, Dongmei, Du, Chao, Luo, Chuan, Su, Mengna, Yang, Fangkai, Liu, Yudong, Lin, Qingwei, Wang, Min, Dang, Yingnong

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence

- Wang, Chaozheng, Yang, Yuanhang, Gao, Cuiyun, Peng, Yun, Zhang, Hongyu, Lyu, Michael R.

On the Evaluation of Neural Code Summarization

- Shi, Ensheng, Wang, Yanlin, Du, Lun, Chen, Junjie, Han, Shi, Zhang, Hongyu, Zhang, Dongmei, Sun, Hongbin

Patching Weak Convolutional Neural Network Models through Modularization and Composition

- Qi, Binhang, Sun, Hailong, Gao, Xiang, Zhang, Hongyu

RACE: Retrieval-Augmented Commit Message Generation

- Shi, Ensheng, Wang, Yanlin, Tao, Wei, Du, Lun, Zhang, Hongyu, Han, Shi, Zhang, Dongmei, Sun, Hongbin

REFTY: Refinement Types for Valid Deep Learning Models

- Gao, Yanjie, Li, Zhengxian, Lin, Haoxiang, Zhang, Hongyu, Wu, Ming, Yang, Mao

SamplingCA: effective and efficient sampling-based pairwise testing for highly configurable software systems

- Luo, Chuan, Zhao, Qiyuan, Cai, Shaowei, Zhang, Hongyu, Hu, Chunming