Collaborated with:X.Gu S.K.0001 D.Zhang Q.Lin J.Lou C.Li M.Z.0001 Z.Gu M.G.0001 J.Lin S.Cai C.Luo R.Wu Xiao Xiao 0003 S.Cheung C.Zhang A.Jain G.Khandelwal C.Kaushik S.Ge W.Hu S.He M.R.Lyu Y.Dang Y.Xu R.Yao M.Chintalapati K.Hsieh K.Sui C.Li Y.Wu X.Zhang B.Qiao C.Xie X.Yang Q.Cheng Z.Li J.C.0003 X.He F.Shen
Talks about:log (3) approach (2) develop (2) analysi (2) system (2) servic (2) kernel (2) effici (2) code (2) base (2)
Person: Hongyu Zhang 0002
DBLP: 0002:Hongyu_Zhang
Contributed to:
2016
2018
20192019
2016Wrote 9 papers:
- FSE-2016-GuZZK #api #learning
- Deep API learning (XG, HZ0, DZ, SK0), pp. 631–642.
- FSE-2016-ZhangJKKGH #developer #recommendation
- Bing developer assistant: improving developer productivity by recommending sample code (HZ0, AJ, GK, CK, SG, WH), pp. 956–961.
- ESEC-FSE-2018-HeLLZLZ #analysis #identification #problem
- Identifying impactful service system problems via log analysis (SH, QL, JGL, HZ0, MRL, DZ), pp. 60–70.
- ESEC-FSE-2018-LinHDZSXLLWYCZ #predict
- Predicting Node failure in cloud service systems (QL, KH, YD, HZ0, KS, YX, JGL, CL, YW, RY, MC, DZ), pp. 480–490.
- ASE-2019-Gu00 #api #approach #graph #kernel #named
- CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples (XG, HZ0, SK0), pp. 590–601.
- ASE-2019-Li0G00 #fault #named #specification #static analysis
- Ares: Inferring Error Specifications through Static Analysis (CL, MZ0, ZG, MG0, HZ0), pp. 1174–1177.
- ESEC-FSE-2019-LinCLLZ #algorithm #combinator #generative #metaheuristic #performance #testing #towards
- Towards more efficient meta-heuristic algorithms for combinatorial test generation (JL, SC, CL, QL, HZ0), pp. 212–222.
- ESEC-FSE-2019-ZhangXLQZDXYCLC #detection #robust
- Robust log-based anomaly detection on unstable log data (XZ, YX, QL, BQ, HZ0, YD, CX, XY, QC, ZL, JC0, XH, RY, JGL, MC, FS, DZ), pp. 807–817.
- POPL-2016-WuXCZZ #approach #named #performance
- Casper: an efficient approach to call trace collection (RW, XX0, SCC, HZ0, CZ), pp. 678–690.