1. Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao: Personalized Bundle List Recommendation. WWW 2019: 60-71
2. Junjie Chen, Jiaqi Han, Peiyi Sun, Lingming Zhang, Dan Hao and Lu Zhang, “Compiler Bug Isolation via Effective Witness Test Program Generation,” Proceedings of 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), August 26-30, 2019, pp. 223-234.
3. Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Continuous Incident Triage for Large-Scale Online Service Systems, the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)，November, 2019.
4. Junjie Chen, Guancheng Wang, Dan Hao, Yingfei Xiong, Hongyu Zhang, Lu Zhang, History-Guided Configuration Diversification for Compiler Test-Program Generation, the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)，November, 2019. ACM SIGSOFT Distinguished Paper Award
5. Xiaohong Chen, Zhiwei Zhong, Zhi Jin, Min Zhang, Tong Li, Xiang Chen and Tingliang Zhou, Automating Consistency Verification of Safety Requirements for Railway Interlocking Systems, Proceedings of the 27th IEEE International Requirements Engineering Conference (RE'19), 2019
6. Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu. Type Sequence Preserving Heterogeneous Information Network Embedding. AAAI 2019.
7. Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. Proceedings of the 2019 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019), 841-852. (CCF A)
8. Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. Proceedings of the 2019 World Wide Web Conference (WWW 2019), 251-262. (CCF A)
9. Haibo Cheng, Zhixiong Zheng, Wenting Li, Ping Wang and Chao-Hsien Chu, Probability Model Transforming Encoders Against Encoding Attacks, USENIX Security, 2019.
10. Zhang Cheng, Zhiyu Wang, Yan Liu, Jing Yang, Xinxin Zhang, Linqiang Pan, Yonggang Ke, Hao Yan. Nicking Assisted Reactant Recycle to Implement Entropy-Driven DNA Circuit, J. Am. Chem. Soc., 2019, 141, 43, 17189. (IF: 14.7)
11. Xu Chu, Yang Lin, Yasha Wang*, Leye Wang, Jiangtao Wang, Jingyue Gao, MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction, the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019: 4518-4524.
12. Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui: An Experimental Evaluation of Large Scale GBDT Systems. PVLDB 12(11): 1357-1370 (2019)
13. Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie, Explainable Recommendation Through Attentive Multi-View Learning, the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019 : 3622-3629.
14. Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui: Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. KDD 2019: 1984-1992
15. Jiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming Zhang. Inferring Program Transformations From Singular Examples via Big Code. ASE'19: 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, California, United States , November 2019.
16. Jiajun Jiang, Ran Wang, Yingfei Xiong, Xiangping Chen, Lu Zhang. Combining Spectrum-Based Fault Localization and Statistical Debugging: An Empirical Study. ASE'19: 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, California, United States, November 2019.
17. Yanjie Jiang, Hui Liu and Lu Zhang, “Semantic Relation Based Expansion of Abbreviations,” Proceedings of 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), August 26-30, 2019, pp. 131-141.
18. Bingyan Liu, Yao Guo and Xiangqun Chen, "WealthAdapt: A General Network Adaptation Framework for Small Data Tasks", in 27th ACM International Conference on Multimedia (MM 2019), Nice, France, Oct 2019.
19. Hongzhi Liu, Yingpeng Du, Zhonghai Wu. AEM: Attentional Ensemble Model for Personalized Classifier Weight Learning. Pattern Recognition, 2019
20. Tianming Liu, Haoyu Wang, Li Li, Guangdong Bai, Yao Guo, Guoai Xu, "DaPanda: Detecting Aggressive Push Notification in Android", in The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego, CA, Nov 2019.
21. Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang, History-driven Build Failure Fixing: How Far Are We? the 28th ACM International Symposium on Software Testing and Analysis (ISSTA), 2019. ACM SIGSOFT Distinguished Paper Award
22. Yixing Luo, Yijun Yu, Zhi Jin and Haiyan Zhao, Environment-Centric Safety Requirements for Autonomous Unmanned Systems, 27th IEEE International Requirements Engineering Conference (RE'19) :410-415
23. Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu. Moving Deep Learning into Web Browser: How Far Can We Go?. Proceedings of the 2019 World Wide Web Conference (WWW 2019), 1234-1244. (CCF A)
24. Linqiang Pan, Yingxin Hu, Taoli Ding, Zhiyu Wang, Chun Xie, Zhekun Chen, Jing Yang, Zhang Cheng. Aptamer-based regulation of transcription circuits, Chemical Communications, 2019, 55, 7378. (IF: 6.3)
25. Zhilei Ren, Changlin Liu, Xusheng Xiao, He Jiang, and Tao Xie Root Cause Localization for Unreproducible Builds via Causality Analysis over System Call Tracing. In Proceedings of 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Deigo, California, USA, November 2019.
26. Bo Shen, Wei Zhang, Haiyan Zhao, Guangtai Liang, Zhi Jin, Qianxiang Wang: IntelliMerge: a refactoring-aware software merging technique. PACMPL 3(OOPSLA): 170:1-170:28 (2019)
27. Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang, “A Grammar-Based Structural CNN Decoder for Code Generation,” Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), January 2019, pp. 7055-7062.
28. Xin Tan and Minghui Zhou. How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel. In Proceedings of the ACM on Human-Computer Interaction, Vol. 3, No. CSCW, Article 108, November 2019, ACM, New York, NY, USA. 26 pages. (CCF A)
29. Ding Wang, Ping Wang, Debiao He, Yuan Tian, "Birthday, Name and Bifacial-security: Understanding Passwords of Chinese Web Users. " USENIX Security, 2019.
30. Haoyu Wang, Hao Li and Yao Guo, "Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play", THE WEB CONFERENCE 2019 (WWW 2019), San Francisco, CA, May 2019.
31. Haoyu Wang, Hongxuan Liu, Xusheng Xiao, Guozhu Meng, Yao Guo, "Characterizing Android App Signing Issues", in The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego, CA, Nov 2019.
32. Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, and Qiang Yang. "Cross-city transfer learning for deep spatio-temporal prediction." IJCAI (2019): 1893-1899.
33. Leye Wang, Xu Geng, Xiaojuan Ma, Daqing Zhang and Qiang Yang. “Ridesharing car detection by transfer learning.” Artificial Intelligence 273 (2019): 1-18.
34. Min Wang, Zeqi Lin, Yanzhen Zou, Bing Xie. CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). Sun 10 - Fri 15 November 2019 San Diego, California, United States. Accept.
35. Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, and Zhaopeng Qiu. "Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing." IEEE Transactions on Mobile Computing 18, no. 7 (2019): 1661-1673.
36. Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, and Leye Wang. "Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors." IEEE Transactions on Mobile Computing 18, no. 9 (2019): 1979-1991.
37. Jiangtao Wang, Yasha Wang, Daqing Zhang, Qin Lv, and Chao Chen, Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions, IEEE Wireless Communications 26, no. 2 (2019): 86-92.
38. Puwei Wang, Ji Meng, Jinchuan Chen, Tao Liu, Ying Zhan, Wei-Tek Tsai, and Zhi Jin, Smart Contract-Based Negotiation for Adaptive for QoS-Aware Service Composition, IEEE Transactions on Parallel and Distributed Systems, 30(6): 1403-1420, 2019
39. Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu.Unified Embedding Model over Heterogeneous Information Network for Recommendation. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), August 10-16, 2019.
40. Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin, Code Generation as a Dual Task of Code Summarization, Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Accepted.
41. Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu. A First Look at Deep Learning Apps on Smartphones. Proceedings of the 2019 World Wide Web Conference (WWW 2019), 2125-2136. (CCF A)
42. Mengwei Xu, Feng Qian, Qiaozhu Mei, Kang Huang, Xuanzhe Liu. DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, UbiComp 2019. (CCF A)
43. Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li: Fast and accurate stream processing by filtering the cold. VLDB J. 28(5): 735-763 (2019)
44. Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang, “Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks”, Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.
45. Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui: MLlib*: Fast Training of GLMs Using Spark MLlib. ICDE 2019: 1778-1789
46. Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao: PS2: Parameter Server on Spark. SIGMOD Conference 2019: 376-388
47. Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao: AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. IJCAI 2019: 4419-4425
48. Xuedong Zheng, Jing Yang, Changjun Zhou, Zhang Cheng, Qiang Zhang, Xiaopeng Wei, Allosteric DNAzyme-based DNA logic circuit: operations and dynamic analysis, Nucleic Acids Research, 2019, 47,3, 1097. (IF: 11.2)
49. Yao Zhu, Hongzhi Liu, Zhonghai Wu, Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, November 3-7, 2019.
二、国际期刊
1. Xing Chen, Shihong Chen, Yun Ma, Bichun Liu, Ying Zhang, Gang Huang. An adaptive offloading framework for Android applications in mobile edge computing. SCIENCE CHINA Information Sciences 62(8): 82102:1-82102:17 (2019)
2. Zhang Cheng, Zhiyu Wang, Yan Liu, Jing Yang, Xinxin Zhang, Linqiang Pan, Yonggang Ke, Hao Yan. Nicking Assisted Reactant Recycle to Implement Entropy-Driven DNA Circuit, J. Am. Chem. Soc., 2019, 141, 43, 17189. (IF: 14.7)
3. Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin, Deep code comment generation with hybrid lexical and syntactical information, Empirical Software Engineering, Empirical Software Engineering, 18, June, 2019.
4. Gang Huang, Xuanzhe Liu, Yun Ma, Xuan Lu, Ying Zhang, Yingfei Xiong. Programming Situational Mobile Web Applications with Cloud-Mobile Convergence: An Internetware-Oriented Approach. IEEE Transactions on Services Computing, 12(1): 6-19 (2019).
5. Xiaolong Gong; Linpeng Huang ; Tiancheng Luo ; Zhiyi Ma . IEEE Access，7, Issue:1，On Page(s): 128097-128113，04 September 2019.
6. He Jiang, Xianchen Li, Zhilei Ren, Jifeng Xuan, and Zhi Jin, Towards Better Summarizing Bug Reports with Crowdsourced Attributes, IEEE Transactions on Reliability, 68(1): 2-22, 2019
7. Jiajun Jiang, Yingfei Xiong, Xin Xia. A Manual Inspection Of Defects4j Bugs And Its Implications For Automatic Program Repair. Science China Information Sciences, October 2019.
8. Wenting Li, and Ping Wang. "Two-factor authentication in industrial Internet-of-Things: Attacks, evaluation and new construction." Future Generation Computer Systems 101 (2019): 694-708.
9. Ling CY, Zou YZ, Lin ZQ et al. Graph embedding based API graph search and recommendation. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 34(5): 1–14 Sept. 2019. DOI 10.1007/s11390-015-0000-0
10. Hongzhi Liu, Yingpeng Du, Zhonghai Wu. AEM: Attentional Ensemble Model for Personalized Classifier Weight Learning. Pattern Recognition, 2019.
11. Wenbin Liu, Leye Wang, En Wang, Yongjian Yang, Djamal Zeghlache, and Daqing Zhang. "Reinforcement Learning-based Cell Selection in Sparse Mobile Crowdsensing." Computer Networks 161 (2019): 102-114.
12. Wenbin Liu, Yongjian Yang, En Wang, Leye Wang, Djamal Zeghlache, and Daqing Zhang. "Multi-Dimensional Urban Sensing in Sparse Mobile Crowdsensing." IEEE Access 7 (2019): 82066-82079.
13. Fei Ma, Ping Wang, Bing Yao. Generating Fibonacci-model as evolution of networks with vertex-velocity and time-memory. Physica A. 527 (2019) 121295.
14. Lionel Montrieux, Naoyasu Ubayashi, Tianqi Zhao, Zhi Jin, Zhenjiang Hu, Bidirectional Transformations for Self-Adaptive Systems , Engineering Adaptive Software Systems, Communications of NII Shonan Meetings, Springer, 2019. pp. 95-114.
15. Haiyu Pan, Fu Song, Yongzhi Cao, Junyan Qian, Fuzzy pushdown termination games, IEEE Transactions on Fuzzy Systems, 27 (2019), pp. 760-774.
16. Linqiang Pan, Yingxin Hu, Taoli Ding, Zhiyu Wang, Chun Xie, Zhekun Chen, Jing Yang, Zhang Cheng. Aptamer-based regulation of transcription circuits, Chemical Communications, 2019, 55, 7378. (IF: 6.3)
17. Abhik Roychoudhury, Yingfei Xiong. Automated Program Repair: A Step towards Software Automation. Science China Information Sciences, October 2019.
18. Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui: Fast De-anonymization of Social Networks with Structural Information. Data Science and Engineering 4(1): 76-92 (2019)
19. Lulu Wang, Junxiang Zheng, Yongzhi Cao*, and Hanpin Wang, Enhance PATE on complex tasks with knowledge transferred from non-private data, IEEE Access, 7 (2019), pp. 50081-50094.
20. Jiangtao Wang, Yasha Wang, Qin Lv, Crowd-Assisted Machine Learning: Current Issues and Future Directions, IEEE COMPUTER, 2019.
21. Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, and Zhaopeng Qiu. "Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing." IEEE Transactions on Mobile Computing 18, no. 7 (2019): 1661-1673.
22. Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, and Leye Wang. "Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors." IEEE Transactions on Mobile Computing 18, no. 9 (2019): 1979-1991.
23. Jiangtao Wang, Yasha Wang, Daqing Zhang, Qin Lv, and Chao Chen, Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions, IEEE Wireless Communications 26, no. 2 (2019): 86-92.
24. Leye Wang, Xu Geng, Xiaojuan Ma, Daqing Zhang and Qiang Yang. “Ridesharing car detection by transfer learning.” Artificial Intelligence 273 (2019): 1-18.
25. Ping Wang, Bin Li, Hongjin Shi, Yaosheng Shen, Ding Wang. Revisiting Anonymous Two-Factor Authentication Schemes for IoT-enabled devices in Cloud Computing Environments. Security and Communication Networks. 2019.
26. Puwei Wang, Ji Meng, Jinchuan Chen, Tao Liu, Ying Zhan, Wei-Tek Tsai, and Zhi Jin, Smart Contract-Based Negotiation for Adaptive for QoS-Aware Service Composition, IEEE Transactions on Parallel and Distributed Systems, 30(6): 1403-1420, 2019
27. Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li: Fast and accurate stream processing by filtering the cold. VLDB J. 28(5): 735-763 (2019)
28. Juling Zhang, Guowu Yang, William N. N. Hung, Tian Liu, Xiaoyu Song, Marek A. Perkowski, A Group Algebraic Approach to NPN Classification of Boolean Functions, ToCS (Theory of Computing Systems) 63(6): 1278-1297 (2019)
29. Xuedong Zheng, Jing Yang, Changjun Zhou, Zhang Cheng, Qiang Zhang, Xiaopeng Wei, Allosteric DNAzyme-based DNA logic circuit: operations and dynamic analysis, Nucleic Acids Research, 2019, 47,3, 1097. (IF: 11.2)
30. Siwen Zhu, Yi Tang, Junxiang Zheng, Yongzhi Cao*, Hanpin Wang, Yu Huang, and Marian Margraf, Sample essentiality and its application to modeling attacks on arbiter PUFs, ACM Transactions on Embedded Computing Systems, 18 (2019), Article 42.
三、国际会议
1. Bo An, Yan Li, Junming Ma, Gang Huang and Donggang Cao, DCStore: A Deduplication-Based Cloud-of-Clouds Storage Service, The 2019 IEEE World Congress on Services (IEEE SERVICES 2019), Milan, Italy, July 8-13, 2019
2. Yasuhito Asano, Zhenjiang Hu, Yasunori Ishihara, Hiroyuki Kato, Makoto Onizuka, Masatoshi Yoshikawa, Controlling and Sharing Distributed Data for Implementing Service Alliance Transformations, Second Workshop on Software Foundations for Data Interoperability (SFDI 2019), February 27, 2019, Kyoto University, Japan.
3. Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao: Personalized Bundle List Recommendation. WWW 2019: 60-71
4. Amel Bennaceur, Carlo Ghezzi, Kenji Tei, Timo Kehrer, Danny Weyns, Radu Calinescu, Schahram Dustdar , Zhenjiang Hu, Shinichi Honiden, Fuyuki Ishikawa, Zhi Jin, Jeffrey Kramer, Marin Litoiu, Michele Loreti, Gabriel A. Moreno, Hausi A. Müller, Laura Nenzi, Bashar Nuseibeh, Liliana Pasquale, Wolfgang Reisig, Heinz Schmidt, Christos Tsigkanos, Haiyan Zhao: Modelling and analysing resilient cyber-physical systems. SEAMS@ICSE 2019: 70-76
5. Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang and Dongmei Zhang, An Empirical Investigation of Incident Triage for Online Service Systems, the 41st International Conference on Software Engineering (ICSE), the Software Engineering in Practice Track, 2019.
6. Junjie Chen, Jiaqi Han, Peiyi Sun, Lingming Zhang, Dan Hao and Lu Zhang, "Compiler Bug Isolation via Effective Witness Test Program Generation," Proceedings of 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), August 26-30, 2019, pp. 223-234.
7. Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Continuous Incident Triage for Large-Scale Online Service Systems, the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)，November, 2019.
8. Junjie Chen, Guancheng Wang, Dan Hao, Yingfei Xiong, Hongyu Zhang, Lu Zhang, History-Guided Configuration Diversification for Compiler Test-Program Generation, the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)，November, 2019. ACM SIGSOFT Distinguished Paper Award
9. Xiaohong Chen, Zhiwei Zhong, Zhi Jin, Min Zhang, Tong Li, Xiang Chen and Tingliang Zhou, Automating Consistency Verification of Safety Requirements for Railway Interlocking Systems, Proceedings of the 27th IEEE International Requirements Engineering Conference (RE'19), 2019
10. Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu. Type Sequence Preserving Heterogeneous Information Network Embedding. AAAI 2019.
11. Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. Proceedings of the 2019 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019), 841-852. (CCF A)
12. Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. Proceedings of the 2019 World Wide Web Conference (WWW 2019), 251-262. (CCF A)
13. Haibo Cheng, Zhixiong Zheng, Wenting Li, Ping Wang and Chao-Hsien Chu, Probability Model Transforming Encoders Against Encoding Attacks, USENIX Security, 2019.
14. Xu Chu, Yang Lin, Yasha Wang*, Leye Wang, Jiangtao Wang, Jingyue Gao, MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction, the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019: 4518-4524.
15. Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui: An Experimental Evaluation of Large Scale GBDT Systems. PVLDB 12(11): 1357-1370 (2019)
16. Ying Han, Wei Chen, Xiaoliang Xiong,Qiang Li, Zhen Qiu, Tengjiao Wang. Wide & Deep Learning for improving Named Entity Recognition via Text-Aware Named Entity Normalization. AAAI workshop 2019.
17. Jianbo Gao, Han Liu, Chao Liu, Qingshan Li, Zhi Guan, Zhong Chen: EasyFlow: keep ethereum away from overflow. ICSE (Companion Volume) 2019: 23-26
18. Jianbo Gao, Han Liu, Yue Li, Chao Liu, Zhiqiang Yang, Qingshan Li, Zhi Guan, Zhong Chen: Towards automated testing of blockchain-based decentralized applications. ICPC 2019: 294-299
19. Jianbo Gao: Guided, automated testing of blockchain-based decentralized applications. ICSE (Companion Volume) 2019: 138-140
20. Jingyue Gao, Yuanduo He, Yasha Wang*, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu, STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints, the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), 2019: 1903-1912.
21. Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie, CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare, the 19th IEEE International Conference on Data Mining (ICDM'19), 2019.
22. Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie, Explainable Recommendation Through Attentive Multi-View Learning, the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019 : 3622-3629.
23. Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang, MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones, the 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'19), 2019.
24. Xin Gao, Chaohe Zhang, Liantao Ma, Yasha Wang*, Jiangtao Wang, Daqing Zhang, Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications, the 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'19), 2019.
25. Zhi Guan, Abba Garba, Anran Li, Zhong Chen, Nesrine Kaaniche: AuthLedger: A Novel Blockchain-based Domain Name Authentication Scheme. ICISSP 2019: 345-352
26. Liye Guo, Hsiang-Shang Ko, Keigo Imai, Nobuko Yoshida Zhenjiang Hu, Towards Bidirectional Synchronization between Communicating Processes and Session Types Second Workshop on Software Foundations for Data Interoperability (SFDI 2019), February 27, 2019, Kyoto University, Japan.
27. Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui: Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. KDD 2019: 1984-1992
28. Qian Guo, Haoyu Wang, Chenwei Zhang, Yao Guo, Guoai Xu. "AppNet: Understanding App Recommendation in Google Play". The 3rd International Workshop on App Market Analytics (WAMA 2019), co-located with ESEC/FSE 2019.
29. Xing Hu, Rui Men, Ge Li, Zhi Jin, Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens, Proceedings of IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC 2019): 159-168, 2019
30. Yangyu Hu, Haoyu Wang, Li Li, Yao Guo, Guoai Xu and Ren He, "Want to Earn a Few Extra Bucks? A First Look at Money-making Apps", IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China, Feb 2019.
31. Gang Huang, Chaoran Luo, Kaidong Wu, Yun Ma, Ying Zhang, Xuanzhe Liu. Software-Defined Infrastructure for Decentralized Data Lifecycle Governance: Principled Design and Open Challenges. Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019).
32. Zhi Jin, Forward and backward traceability: Requirements and challenges (Keynote). SANER 2019:3
33. Jiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming Zhang. Inferring Program Transformations From Singular Examples via Big Code. ASE'19: 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, California, United States , November 2019.
34. Jiajun Jiang, Ran Wang, Yingfei Xiong, Xiangping Chen, Lu Zhang. Combining Spectrum-Based Fault Localization and Statistical Debugging: An Empirical Study. ASE'19: 34th IEEE/ACM International Conference on Automated Software Engineering, San Diego, California, United States , November 2019.
35. Yanjie Jiang, Hui Liu and Lu Zhang, "Semantic Relation Based Expansion of Abbreviations," Proceedings of 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), August 26-30, 2019, pp. 131-141.
36. Zeliang Kan, Haoyu Wang, Lei Wu, Yao Guo and Guoai Xu. "Deobfuscating Android Native Binary Code". 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019), Poster Track (Invitation), Pages 322-323.
37. Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa, Blockchain-based Bidirectional Updates on Fine-grained Medical Data , First International Workshop on Blockchain and Data Management (BlockDM 2019), Macau SAR, China, Apr 8, 2019.
38. Nianyu Li, Zhengyin Chen, Zi-Long Li, Wenpin Jiao. A Conceptual Model of Self-Adaptive Systems based on Attribution Theory. CogSCI 2019, pp.657-663.
39. Nianyu Li, Christos Tsigkanos, Zhi Jin, Schahram Dustdar, Zhenjiang Hu and Carlo Ghezzi, POET: Privacy on the Edge with Bidirectional Data Transformations, 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom 2019): 1-10, 2019.
40. Wenting Li, and Ping Wang. "Cryptanalysis of Two Chaotic Maps-Based Authentication Schemes in Edge Computing." 2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2019 5th IEEE Inter-national Conference on Edge Computing and Scalable Cloud (EdgeCom).
41. Wenting Li, Haibo Cheng, and Ping Wang. "Secure Chaotic Maps-based Authentication Scheme for Real-Time Data Access In Internet of Things." 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security).
42. Yan Li, Bo An, Junming Ma and Donggang Cao, Comparison between Chunk-based and Layer-based Container Image Storage Approaches: an Empirical Study, the 10th IEEE International Workshop on Joint Cloud Computing, San Francisco, USA, April 4-9, 2019, pp. 197-202, DOI 10.1109/SOSE.2019.00034
43. Yuanchun Li, Ziyue Yang, Yao Guo, Xiangqun Chen, "Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing", in The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Tool Demonstration, San Diego, CA, Nov 2019.
44. Yue Li: Finding concurrency exploits on smart contracts. ICSE (Companion Volume) 2019: 144-146
45. Zhao Li, Junshuai Song, Shichang Hu, Shasha Ruan, Long Zhang, Zehong Hu, Jun Gao: FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform. ICDE 2019: 1898-1903
46. Jingjing Liang, Yaozong Hou, Shurui Zhou, Junjie Chen, Yingfei Xiong, Gang Huang. How to Explain a Patch: An Empirical Study of Patch Explanations in Open Source Projects. ISSRE'19: The 30th International Symposium on Software Reliability Engineering, Berlin, Germany, October 2019.
47. Bingyan Liu, Yao Guo and Xiangqun Chen, "WealthAdapt: A General Network Adaptation Framework for Small Data Tasks", in 27th ACM International Conference on Multimedia (MM 2019), Nice, France, Oct 2019.
48. Jinyang Liu，Ye Qiu ，Zhiyi Ma ，Zhonghai Wu. Autoencoder based API Recommendation System for Android Programming. The 14th International Conference on Computer Science & Education (ICCSE 2019) August 19-21, 2019. Toronto, Canada.
49. Ling Liu, Ping Wang, Ying Wang, Wei Wei, Zhoufan Wang. Dynamic Train Formation and Dispatching for Rail Transit Based on Virtually Coupled Train Set. IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE 2019.
50. Ling Liu, Ping Wang, Wei Wei, Qing Li, Bo ZHANG. Intelligent Dispatching and Coordinated Control Method at Railway Stations for Virtually Coupled Train Sets. IEEE Intelligent Transportation Systems Conference 2019.
51. Tianming Liu, Haoyu Wang, Li Li, Guangdong Bai, Yao Guo, Guoai Xu, "DaPanda: Detecting Aggressive Push Notification in Android", in The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego, CA, Nov 2019.
52. Weijie Liu, Anpeng Huang, Ping Wang, Hebin Yao. Trnasfer and Collaborative Learning Method for Personalized Noninvasive Blood Glucose Measurement Modeling, ICASSP 2019.
53. Weijie Liu, Guangyu Wang, Anpeng Huang, and Ping Wang*, “NIV-NGM - A Novel Non-invasive Blood Glucose Monitoring Method based on Near-infrared Videos”, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), November 18-21 2019. (Short Paper)
54. Yi Liu, Enze Xu, Yun Ma, Xuanzhe Liu. A First Look at Instant Service Consumption with Quick Apps on Mobile Devices. Proceedings of the 2019 IEEE International Conference on Web Services (ICWS 2019), 328-335.
55. Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang, History-driven Build Failure Fixing: How Far Are We? the 28th ACM International Symposium on Software Testing and Analysis (ISSTA), 2019. ACM SIGSOFT Distinguished Paper Award
56. Yixing Luo, Yijun Yu, Zhi Jin and Haiyan Zhao, Environment-Centric Safety Requirements for Autonomous Unmanned Systems, 27th IEEE International Requirements Engineering Conference (RE'19) :410-415
57. M. Ma, J. Yang, P. Wang, W-J. Liu, and J-Z. Zhang, “Light-weight and Scalable Hierarchical-MVC Architecture for Cloud Web Applications”, 2019 IEEE International Conference on Cyber Security and Cloud Computing.
58. M. Ma, W-L. Lin, D-S. Pan, P. Wang, “MS-Rank: Multi-Metric and Self-Adaptive Root Cause Diagnosis for Microservice Applications”, 2019 IEEE International Conference on Web Services (ICWS).
59. Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu. Moving Deep Learning into Web Browser: How Far Can We Go?. Proceedings of the 2019 World Wide Web Conference (WWW 2019), 1234-1244. (CCF A)
60. Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang, Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation, the 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'19), 2019.
61. Yun Ma, Yangyang Huang, Ziniu Hu, Xusheng Xiao, Xuanzhe Liu. Paladin: Automated Generation of Reproducible Test Cases for Android Apps. Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications (HotMobile 2019), 99-104.
62. Zhiyi Ma, Hongjie Chen, Xiaoxi Wang,Ye Qiu . A Modeling Tool for Sensor-based Mobile Applications. Proceedings of the 3rd International Conference on Computer Science and Application Engineering, Sanya, China - October 22 - 24, 2019.accepted
63. Jonathan Osei-Owusu, Angello Astorga, Liia Butler, Tao Xie, and Geoffrey Challen Grading-Based Test Suite Augmentation. In Proceedings of 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Short Paper, San Deigo, California, USA, November 2019.
64. Zhilei Ren, Changlin Liu, Xusheng Xiao, He Jiang, and Tao Xie Root Cause Localization for Unreproducible Builds via Causality Analysis over System Call Tracing. In Proceedings of 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Deigo, California, USA, November 2019.
65. Jialun Shao, Junming Ma, Yan Li, Bo An and Donggang Cao, GPU Scheduling for Short Tasks in Private Cloud, the 10th IEEE International Workshop on Joint Cloud Computing, San Francisco, USA, April 4-9, 2019, pp. 215-220, DOI 10.1109/SOSE.2019.00037
66. Bo Shen, Wei Zhang, Haiyan Zhao, Guangtai Liang, Zhi Jin, Qianxiang Wang: IntelliMerge: a refactoring-aware software merging technique. PACMPL 3(OOPSLA): 170:1-170:28 (2019)
67. Xin Tan and Minghui Zhou. How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel. In Proceedings of the ACM on Human-Computer Interaction, Vol. 3, No. CSCW, Article 108, November 2019, ACM, New York, NY, USA. 26 pages. (CCF A)
68. Q. Shen, B. Xie, Y. Zou, Z. Zhu, and S. Wu, Nli2code: Reusing libraries with natural language interface, in International Conference on Software and Systems Reuse. Springer, 2019, pp. 168-184. (Best Paper)
69. Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang, "A Grammar-Based Structural CNN Decoder for Code Generation," Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), January 2019, pp. 7055-7062.
70. Zhiyu Sun, Fang Peng,Junrui Guan,Yanchun Sun. In Proceedings of ACM Internetware 2019, Fukuoka, Japan, October 28-29, 2019.
71. Zhiyu Sun, Chao Xin, Yanchun Sun. An Automatic Semantic Code Repair Service Based on Deep Learning for Programs with Single Error. In Proceedings of IEEE SERVICES 2019, Milan, Italy, July 8-13, 2019.
72. Shuang Tang, Junfeng Zhao, Yasha Wang, Da Cui, HISMA: A Human-Machine Iterative Schema Matching Algorithm, the 5th IEEE Smart World Congress (SmartWorld'19), 2019.
73. Deyu Tian and Yun Ma. Understanding Quality of Experience on Different Mobile Browsers. Proceedings of the 9th Asia-Pacific Symposium on Internetware (Internetware 2019).
74. Ennio Visconti, Christos Tsigkanos, Zhenjiang Hu, Carlo Ghezzi, Model-Driven Design of City Spaces via Bidirectional Transformations IEEE/ACM 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS 2019), Munich, Germany, September 15-20, 2019.
75. Ding Wang, Ping Wang, Debiao He, Yuan Tian, "Birthday, Name and Bifacial-security: Understanding Passwords of Chinese Web Users." USENIX Security, 2019.
76. Haoyu Wang, Xupu Wang and Yao Guo. "Characterizing the Global Mobile App Developers: A Large-scale Empirical Study". Proceedings of the 6th International Conference on Mobile Software Engineering and Systems (MobileSoft 2019), pp. 150-161.
77. Haoyu Wang, Junjun Si, Hao Li and Yao Guo. "RmvDroid: Towards A Reliable Android Malware Dataset with App Metadata". The 16th International Conference on Mining Software Repositories (MSR 2019), Data Showcase Track, Pages 404-408.
78. Haoyu Wang, Hao Li and Yao Guo, "Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play", THE WEB CONFERENCE 2019 (WWW 2019), San Francisco, CA, May 2019.
79. Haoyu Wang, Hongxuan Liu, Xusheng Xiao, Guozhu Meng, Yao Guo, "Characterizing Android App Signing Issues", in The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego, CA, Nov 2019.
80. Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, and Qiang Yang. "Cross-city transfer learning for deep spatio-temporal prediction." IJCAI (2019): 1893-1899.
81. Min Wang, Zeqi Lin, Yanzhen Zou, Bing Xie. CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). Sun 10 - Fri 15 November 2019 San Diego, California, United States. Accept.
82. Wang M, Zou Y, Cao Y, et al. Searching Software Knowledge Graph with Question[C]//International Conference on Software and Systems Reuse. Springer, Cham, 2019, pp. 115-131.
83. P. Wang, F-H. Xu, M. Ma, L-H. Duan, “Efficient Spatial Big Data Storage and Query in HBase”, IEEE International Conference on Smart Cloud (SmartCloud), 2019.
84. Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu. Deep Learning Based Code Completion Models for Programming Codes. The 11th Asian Conference on Machine Learning 2019
85. Zekai Wang, Hongzhi Liu,Yingpeng Du,Zhonghai Wu.Unified Embedding Model over Heterogeneous Information Network for Recommendation.The 28th International Joint Conferenca on Artificial Intelligence(IJCAI 2019),August 10-16,2019,Macao,China(CCF A).
86. Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, and Zhi Jin, Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019): 7290-7294, 2019
87. Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin, Code Generation as a Dual Task of Code Summarization, Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Accepted.
88. Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu. A First Look at Deep Learning Apps on Smartphones. Proceedings of the 2019 World Wide Web Conference (WWW 2019), 2125-2136. (CCF A)
89. Mengwei Xu, Feng Qian, Qiaozhu Mei, Kang Huang, Xuanzhe Liu. DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, UbiComp 2019. (CCF A)
90. Zhenhui Xu, Qiang Li, Wei Chen, Yingbao Cui, Zhen Qiu, Tengjiao Wang. Opinion-Aware Knowledge Embedding for Stance Detection. ApWeb 2019.
91. Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui:FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. APWeb/WAIM (2) 2019: 27-41
92. Kai Yang, Wenqi Sun, Junfeng Zhao*, Yasha Wang, Bing Xie, Supervised Nonnegative Tucker Decomposition for Computational Phenotyping, the 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'19), 2019.
93. Hang Yin, Zhiyu Sun, Yanchun Sun(Corresponding Author), Wenpin Jiao. A Question-Driven Source Code Recommendation Service Based on Stack Overflow. In Proceedings of IEEE SERVICES 2019, Milan, Italy, July 8-13, 2019.
94. Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang, “Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks”, Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.
95. Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang, Neural detection of semantic code clones via tree-based convolution, Proceedings of the 27th International Conference on Program Comprehension, 2019, pp. 70-80.
96. Timothy A. K. Zakian, Ludovic A. R. Capelli, Zhenjiang Hu, Incrementalization of Vertex-Centric Programs 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), Rio de Janeiro, Brizil, May 20-24, 2019.
97. Jie Zhang, Lingming Zhang, Dan Hao, Meng Wang and Lu Zhang, Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness, the International Conference on Software Testing, Verification and Validation (ICST), 2019.
98. Jie Zhang, Lingming Zhang, Dan Hao, Lu Zhang, and Mark Harman, "An Empirical Comparison of Mutant Selection Assessment Metrics," Proceedings of 12th International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2019), 2019, pp. 90-101.
99. Xia Zhang, Xusheng Xiao, Liang He, Yun Ma, Yangyang Huang, Xuanzhe Liu, Wenyao Xu, Cong Liu. PIFA: An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing. Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2019), 54-64.
100. Yongzhe Zhang, Zhenjiang Hu, Composing Optimization Techniques for Vertex-Centric Graph Processing via Communication Channels 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), Rio de Janeiro, Brizil, May 20-24, 2019.
101. Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui: MLlib*: Fast Training of GLMs Using Spark MLlib. ICDE 2019: 1778-1789
102. Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao: PS2: Parameter Server on Spark. SIGMOD Conference 2019: 376-388
103. Yiming Zhao, Wenting Li, Zijian Zhang, Ping Wang*: Password Expiration Strategy: A Perspective of Ecological Memory. IEEE Big Data Service 2019.
104. Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao: AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. IJCAI 2019: 4419-4425
105. Chen Zhi, Jianwei Yin, Shuiguang Deng, Maoxin Ye, Min Fu, and Tao Xie. An Exploratory Study of Logging Configuration Practice in Java. In Proceedings of the 35th IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, Ohio, USA, September-October, 2019.
106. Yi Zong, Yao Guo, Xiangqun Chen, "Policy-based Access Control for Robotic Applications", International Workshop on Cloud/edge Computing in Robotic Systems (CCR 2019), co-located at SOSE 2019.
107. Yao Zhu, Hongzhi Liu,Zhonghai Wu Represention Learning with ordered Relation Paths for Knowledge Graph Completion.2019 Conference on Empirical Methods in Natural Language Processing(EMNLP 2019),Hong Kong,China,November3-7,2019.(CCF B).
四、中文期刊
1. 陈从周.DNA折纸术——全编程的信息工具[J].广州大学学报(自然科学版),2019,18(01):61-72.
2. 陈俊洁，胡文翔，郝丹，熊英飞，张洪宇，张路，一种静态的编译器重复缺陷报告识别方法，中国科学：信息科学， 2019年10月
3. 胡星，李戈，刘芳，金芝，基于深度学习的程序生成技术研究进展，软件学报，2019,30(5):1206-1223.
4. 李文婷, 汪定, 王平*. 无线传感器网络环境下多因素身份认证协议的内部人员攻击研究. 软件学报. 30(8):2375-2391
5. 凌春阳,邹艳珍,林泽琦,谢冰,赵俊峰.基于图嵌入的软件项目源代码检索方法.软件学报,2019,30(5):1481-1497.
6. 金芝,刘芳,李戈，程序理解:现状与未来，软件学报，2019,30(1):110-126.
7. 唐爽, 王亚沙*, 赵俊峰, 王江涛, 夏丁， 基于本体推理的终端用户数据查询构造方法， 软件学报, 2019, 30(05), 334-348。
8. 唐爽, 张灵箫, 赵俊峰*, 谢冰, 邹艳珍， 面向多源数据的可扩展主题建模分析框架， 计算机科学与探索, 2019, 13(05), 26-36。
9. 王春晖,金芝,赵海燕,刘璘,张伟,崔牧原.人机协作的用户故事场景提取与迭代演进.软件学报,2019,30(10): 3186–3205.
10. 张健, 张超, 玄跻峰, 熊英飞, 王千祥, 梁彬, 李炼, 窦文生, 陈振邦, 陈立前, 蔡彦. 程序分析研究进展. 软件学报, 2019年，30(1):80-109
11. 张子超, 郝蔚琳, 张伊凡. 一种复杂网络中节点安全重要性排序的度量方法[J]. 信息安全学报, 2019, 4(01):83-92.
12. 周明辉，张宇霞，谭鑫. 软件数字社会学. 中国科学 信息科学. 2019.10
五、国内会议
1. 林阳，初旭，王亚沙*，毛维嘉，赵俊峰，基于自注意力机制的跨模态食谱检索方法，第十五届全国普适计算学术会议(PCC 2019)，2019。
2. 刘少钦, 杨恺, 赵俊峰*, 王亚沙, 陈超, 基于自反馈神经网络的政务领域多源数据融合技术, 第十五届全国普适计算学术会议（PCC 2019）, 2019。
3. 孙文奇, 唐爽, 王丰, 赵俊峰*, 王亚沙， 一种基于众包的多源数据模式匹配方法，第十五届全国普适计算学术会议(PCC 2019), 2019。
4. 杨恺，刘少钦，赵俊峰*，王亚沙，谢冰，一种基于知识图谱结构和属性协同表示学习的实体对齐模型，第十五届全国普适计算学术会议（PCC 2019），2019。
5. 杨钊，彭广举，王亚沙*，陈朋，陈超， 城市政府服务热线电话记录的自动语义标注方法。 第十五届全国普适计算学术会议(PCC2019)， 2019。