1. Junjie Chen, Jibesh Patra, Michael Pradel, Yingfei Xiong, Hongyu Zhang, Dan Hao, Lu Zhang: A Survey of Compiler Testing. ACM Comput. Surv. 53(1): 4:1-4:36 (2020).
2. Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui: SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. 29(5): 945-972 (2020).
3. F. Ma, X.M. Wang, P. Wang. Dense networks with scale-free feature. Phys. Rev. E.101, 052317, 2020. (SCI检索, 影响因子4.2).
4. F. Ma, X.M. Wang, P. Wang. Scale-free networks with invariable diameter and density feature: Counterexamples. Phys. Rev. E.101, 022315 (2020). (SCI检索，影响因子4.2.
5. Haiyu Pan, Yongzhi Cao, Liang Chang, Junyan Qian, Yuming Lin, Fuzzy alternating refinement relations under the Godel semantics, IEEE Transactions on Fuzzy Systems, online, Jan. 2020,
6. Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui: Hunting multiple bumps in graphs. Proc. VLDB Endow. 13(5): 656-669 (2020).
7. X. Tan and M. Zhou, "Scaling Open Source Software Communities: Challenges and Practices of Decentralization," in IEEE Software,
8. Leye Wang, Daqing Zhang, Dingqi Yang, Brian Lim, Xiao Han, and Xiaojuan Ma, Sparse Mobile Crowdsensing with Differential and Distortion Location Privacy. IEEE Trans. Information Forensics and Security, 15(1): 2735-2749, DOI: 10.1109/TIFS.2020.2975925,2020.
9. Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin: Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29(4): 31:1-31:23 (2020).
10. Mengwei Xu, Feng Qian, Mengze Zhu, Feifan Huang, Saumay Pushp, Xuanzhe Liu. DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning. IEEE Transactions on Mobile Computing, 2020, 19(2): 314-330.
11. Wei Zhang, Hong Mei. A constructive model for collective intelligence. National Science Review, Volume 7, Issue 8, August 2020, Pages 1273–1277,
12. Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang: How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. ASE 2020.
13. Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu. A Comprehensive Study on Challenges in Deploying Deep Learning Based Software. Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020), Sacramento, California, United States, November 8-13, 2020.
14. Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong, Distance Metric Learning with Joint Representation Diversification, 37th International Conference on Machine Learning (ICML 2020). 2020.
15. Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun, StageNet: Stage-Aware Neural Networks for Health Risk Prediction, In: Proceedings of The Web Conference 2020. 2020, pp. 530-540.
16. Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui: Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132.
17. Yuanduo He, Xu Chu, Yasha Wang, Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining, IEEE 36th International Conference on Data Engineering (ICDE 2020). IEEE, 2020. pp. 373-384.
18. Yangyu Hu, Haoyu Wang, Ren He, Li Li, Gareth Tyson, Ignacio Castro, Yao Guo, Lei Wu and Guoai Xu. "Mobile App Squatting", In The Web Conference 2020 (WWW'20), Taipei, April 2020. Best Student Paper Award.
19. Ruyi Ji, Jingjing Liang, Yingfei Xiong, Lu Zhang, Zhenjiang Hu, Question Selection for Interactive Program Synthesis, 41st ACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI 2020), June 15-20, 2020.
20. Ruyi Ji, Yican Sun, Yingfei Xiong, Zhenjiang Hu, Guiding Dynamic Programing via Structural Probability for Accelerating Programming by Example, Proceedings of the ACM on Programming Languages (PACMPL) (OOPSLA 2020), Chicago, USA, November 15 - November 20, 2020.
21. Wing Lam, Stefan Winter, Anjiang Wei, Tao Xie, Darko Marinov, and Jonathan Bell. A Large-Scale Longitudinal Study of Flaky Tests. In Proceedings of ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2020), Chicago, Illinois, November 2020.
22. Wing Lam, August Shi, Reed Oei, Sai Zhang, Michael D. Ernst and Tao Xie. Dependent-Test-Aware Regression Testing Techniques. In Proceedings of the 2020 International Symposium on Software Testing and Analysis (ISSTA 2020), Los Angeles, California, July 2020.
23. Shengjie Li, Zhaopeng Liu, Yue Zhang, Qin Lv, Xiaopeng Niu, Leye Wang, and Daqing Zhang. 2020. WiBorder: Precise Wi-Fi based Boundary Sensing via Through-wall Discrimination. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 2, Article 89, 30 pages. DOI:https://doi.org/10.1145/3411834, 2020
24. Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui: Efficient Automatic CASH via Rising Bandits. AAAI 2020: 4763-4771.
25. Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, Xiangqun Chen, "PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing". ACM IMWUT (UbiComp 2021). (Accepted)
26. Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin, Multi-task Learning based Pre-trained Language Model for Code Completion, the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020).
27. Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawende F. Bissyande and Jacques Klein, "MadDroid: Characterising and Detecting Devious Ad Content for Android Apps". In The Web Conference 2020 (WWW'20), Taipei, April 2020.
28. Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang, "K-BERT: Enabling Language Representation with Knowledge Graph." Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
29. Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang: Can automated program repair refine fault localization? a unified debugging approach. ISSTA 2020: 75-87.
30. Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang: Understanding Build Issue Resolution in Practice: Symposiums and Fix Patterns. FSE 2020.
31. Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma, AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 825-832.
32. Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao, Concare: Personalized clinical feature embedding via capturing the healthcare context, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 833-840.
33. M. Ma, P. Wang, J-M. Xu, Y. Wang and P-F. Chen, "AutoMAP: Diagnose Your Microservice-based Web Applications Automatically", The Web Conference (WWW), 2020.
34. Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen: Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. SIGMOD Conference 2020: 1797-1812.
35. Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li, Jun Gao:PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. ICDE 2020: 157-168.
36. Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang. TreeGen: A Tree-Based Transformer Architecture for Code Generation. AAAI'20: Thirty-Fourth AAAI Conference on Artificial Intelligence, January 2020.
37. Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang, “Automatic Testing and Improvement of Machine Translation,” Proceedings of 42nd International Conference on Software Engineering (ICSE 2020), May 2020, pp. 974-985.
38. Xin Tan, Minghui Zhou, and Brian Fitzgerald. 2020. Scaling open source communities: an empirical study of the Linux kernel. ICSE '20, 42nd International Conference on Software Engineering, May 23-29, Seoul, South Korea. 1222–1234.
39. Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu, Programmable View Update Strategies on Relations , 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, August 31 - September 4, 2020. pp.726-739.
40. Christos Tsigkanos, Nianyu Li, Zhi Jin, Zhenjiang Hu, Carlo Ghezzi, Scalable Multiple-View Analysis of Reactive Systems via Bidirectional Model Transformations , 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), Melbourne, Australia, September 21-25, 2020. (Distinguished Paper Award).
41. Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang, Multi-type resource allocation with partial preferences, in the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, Feb. 7-12, 2020, pp. 2260-2267.
42. Heyuan Wang, Tengjiao Wang, Yi Li. Incorporating Expert-based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. AAAI 2020.
43. Jiangtao Wang, Junyi Ma, Yasha Wang, Ning Wang, Leye Wang, Daqing Zhang, Feng Wang, Qin Lv, Will Online Digital Footprints Reveal Your Relationship Status? An Empirical Study of Social Applications for Sexual-Minority Men. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp 2020), 2020, 4(1): 1-23.
44. Purui Wang, Lilei Feng, Guojun Chen, Chenren Xu, Yue Wu, Kenuo Xu, Guobin Shen, Tuntai Du, Gang Huang, Xuanzhe Liu. Renovating Road Signs for Infrastructure-to-Vehicle Networking: A Visible Light Backscatter Communication and Networking Approach. Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020, 6:1-6:13. (CCF A类会议).
45. Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin, Retrieve and Refine: Exemplar-based Neural Comment Generation, the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020).
46. Dan Wu, Ruiyang Gao, Youwei Zeng, Jinyi Liu, Leye Wang, Tao Gu, Daqing Zhang. 2020. FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 1, Article 31, 2020
47. Jue Wu, Junyi Ma, Yasha Wang, Jiangtao Wang, Understanding and Predicting the Burst of Burnout via Social Media, 23rd ACM Conference on Computer-Supported Cooperative Work (CSCW 2020), 2020.
48. Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin. Approximate Query Service on Autonomous IoT Cameras. Proceedings of the 18th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2020, 191-205.
49. Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie. "COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment." Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI’20), 2020, NewYork, USA.
50. Youwei Zeng, Dan Wu, Jie Xiong, Jinyi Liu, Zhaopeng Liu, and Daqing Zhang. MultiSense: Enabling Multi-person Respiration Sensing with Commodity WiFi. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 3, Article 102, 2020
51. Fusang Zhang, Zhaoxin Chang, Kai Niu, Jie Xiong, Beihong Jin, Qin Lv, and Daqing Zhang. Exploring LoRa for Long-range Through-wall Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 2, Article 68, 27 pages. 2020.
52. Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin, Generating Adversarial Examples for Holding Robustness of Source Code Processing Models, Proceedings of the 34th AAAI Conference on Artificial Intelligence, New York, USA, Feb 7-12, 2020. (AAAI'20, CCF Rank A)
53. Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang. NLocalSAT: Boosting Local Search with Solution Prediction. IJCAI'20: 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, July 2020.
54. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui: Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE 2020: 73-84.
55. Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui: Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference 2020: 1399-1414.
56. Yuhao Zhang, Luyao Ren, Liqian Chen, Yingfei Xiong, Shing-Chi Cheung, Tao Xie. Detecting Numerical Bugs in Neural Network Architectures. ESEC/FSE'20: ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, November 2020.
57. Yuxia Zhang, Minghui Zhou, Klaas-Jan Stol, Jianyu Wu, Zhi Jin: How do companies collaborate in open source ecosystems? an empirical study of OpenStack. ICSE 2020: 1196-1208。
58. Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang: ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. ICDE 2020: 1513-1524.
59. Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu, "Dynamic Slicing for Deep Neural Networks", In FSE 2020
60. Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang. OCoR: An Overalpping-Aware Code Retriever. ASE'20: 35th IEEE/ACM International Conference on Automated Software Engineering, September 2020.
61. Daming Zou, Muhan Zeng, Yingfei Xiong, Zhoulai Fu, Lu Zhang, Zhendong Su. Detecting Floating-Point Errors via Atomic Conditions. POPL'20: 47th ACM SIGPLAN Symposium on Principles of Programming Languages, New Orleans, Louisiana, United States, January 2020.
二、国际期刊
1. Di Chai, Leye Wang, Kai Chen, and Qiang Yang, Secure Federated Matrix Factorization. Intelligent Systems, early access, DOI: 10.1109/MIS.2020.3014880, 2020.
2. Junjie Chen, Jibesh Patra, Michael Pradel, Yingfei Xiong, Hongyu Zhang, Dan Hao, Lu Zhang: A Survey of Compiler Testing. ACM Comput. Surv. 53(1): 4:1-4:36 (2020).
3. Yong Chen, Guohui Lin, Tian Liu, Taibo Luo, Bing Su, Yao Xu, Peng Zhang: A (1.4 + ε )-approximation algorithm for the 2-Max-Duo problem. J. Comb. Optim. 40(3): 806-824 (2020).
4. Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin: Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. 25(3): 2179-2217 (2020).
5. Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui: SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. 29(5): 945-972 (2020).
6. Nianyu Li, Christos Tsigkanos, Zhi Jin, Zhenjiang Hu, Carlo Ghezzi, Early Validation of Cyber-Physical Space Systems via Multi-Concerns Integration, Journal of Systems and Software, Vol. 170, December 2020.
7. Caihua Liu, Didar Zowghi, Amir Talaei-Khoei, Zhi Jin: Empirical study of Data Completeness in Electronic Health Records in China. Pac. Asia J. Assoc. Inf. Syst. 12(2): 4 (2020).
8. Fang Liu, Lu Zhang, and Zhi Jin, Modeling Programs Hierarchically with Stack-Augmented LSTM, Journal of Systems and Software 164 (2020): 110547.
9. Xuanzhe Liu, Sam Xun Sun, Gang Huang. Decentralized Services Computing Paradigm for Blockchain-Based Data Governance: Programmability, Interoperability, and Intelligence. IEEE Transactions on Services Computing, 2020, 13(2): 343-355.
10. F. Ma, X.M. Wang, P. Wang*. Dense networks with scale-free feature. Phys. Rev. E.101, 052317, 2020. (SCI检索, 影响因子4.2).
11. F. Ma, X.M. Wang, P. Wang*. Scale-free networks with invariable diameter and density feature: Counterexamples. Phys. Rev. E.101, 022315 (2020). (SCI检索，影响因子4.2.
12. Yun Ma, Ziniu Hu, Diandian Gu, Li Zhou, Jian Tang, Qiaozhu Mei, Gang Huang, Xuanzhe Liu. Roaming Through the Castle Tunnels: an Empirical Analysis of Inter-App Navigation of Android Apps. ACM Transactions on the Web, 2020, 14(3): 1-24. (CCF B类期刊).
13. Wei-Feng Mi, Xiao-Min Chen, Teng-Teng Fan, Serik Tabarak, Jing-Bo Xiao, Yong-Zhi Cao, et al., Identifying modifiable risk factors for relapse in patients with schizophrenia in China, Frontiers in Psychiatry, 11(2020), Article 574763.
14. Haiyu Pan, Yongzhi Cao, Liang Chang, Junyan Qian, Yuming Lin, Fuzzy alternating refinement relations under the Godel semantics, IEEE Transactions on Fuzzy Systems, online, Jan. 2020, doi: 10.1109/TFUZZ.2020.2965860.
15. Yi Qin, Tao Xie, Chang Xu, Angello Astorga, and Jian Lu., "CoMID: Context-Based Multiinvariant Detection for Monitoring Cyber-Physical Software," in IEEE Transactions on Reliability, vol. 69, no. 1, pp. 106-123, March 2020
16. Qi Shen, Shijun Wu, Yanzhen Zou, Zixiao Zhu, and Bing Xie. From API to NLI: A new interface for library reuse. Journal of Systems and Software. Elsevier, 2020. vol 169. p. 110728.
17. Junshuai Song, Zhao Li, Chang Zhou, Jinze Bai, Zhenpeng Li, Jian Li, Jun Gao: Co-Displayed Items Aware List Recommendation. IEEE Access 8: 64591-64602 (2020).
18. Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui: Hunting multiple bumps in graphs. Proc. VLDB Endow. 13(5): 656-669 (2020).
19. X. Tan and M. Zhou, "Scaling Open Source Software Communities: Challenges and Practices of Decentralization," in IEEE Software, doi: 10.1109/MS.2020.3025959.
20. Chunhui Wang, Wei Zhang, Haiyan Zhao, Zhi Jin. Towards a fictional collective programming scenario: an approach based on the EIF loop. Empirical Software Engineering volume 25, pages 3671–3710(2020).
21. D. Wang, P. Wang*, C-Y. Wang, "Efficient Multi-Factor User Authentication Protocol with Forward Secrecy for Real-Time Data Access in WSNs", ACM Transactions on Cyber-Physical Systems 4(3): 30:1-30:26, 2020. (SCI检索).
22. Leye Wang, Daqing Zhang, Dingqi Yang, Brian Lim, Xiao Han, and Xiaojuan Ma, Sparse Mobile Crowdsensing with Differential and Distortion Location Privacy. IEEE Trans. Information Forensics and Security, 15(1): 2735-2749, DOI: 10.1109/TIFS.2020.2975925,2020.
23. Leye Wang, and Ouri Wolfson. Grand Challenges for the Spatial Information Community. Journal of Spatial Information Science 20: 79-85, DOI:10.5311/JOSIS.2020.20.667, 2020.
24. Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin: Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29(4): 31:1-31:23 (2020).
25. Mengwei Xu, Feng Qian, Mengze Zhu, Feifan Huang, Saumay Pushp, Xuanzhe Liu. DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning. IEEE Transactions on Mobile Computing, 2020, 19(2): 314-330. (CCF A类期刊).
26. Su Zhang, Huaqian Cai, Yun Ma, Tian-Yue Fan, Ying Zhang, Gang Huang. SmartPipe: Towards Interoperability of Industrial Applications via Computational Reflection. Journal of Computer Science and Technology, 2020, 35(1): 161-178. (CCF B类期刊).
27. Wei Zhang, Hong Mei. A constructive model for collective intelligence. National Science Review, Volume 7, Issue 8, August 2020, Pages 1273–1277, https://doi.org/10.1093/nsr/nwaa092
28. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui: Snapshot boosting: a fast ensemble framework for deep neural networks. Sci. China Inf. Sci. 63(1): 112102 (2020).
29. Xin Zhou, Yohei Murakami, Toru Ishida, Xuanzhe Liu, Gang Huang. ARM: Toward Adaptive and Robust Model for Reputation Aggregation. IEEE Transactions on Automation Science and Engineering, 2020, 17(1): 88-99. (CCF B类期刊).
30. Zirun Zhu, Hsiang-Shang Ko, Yongzhe Zhang, Pedro Martins, Joao Saraiva, Zhenjiang Hu, Unifying Parsing and Reflective Printing for Fully Disambiguated Grammars, New Generation Computing 38, 423--476 (2020).
三、国际会议
1. Yasuhito Asano, Zhenjiang Hu, Yasunori Ishihara, Makoto Onizuka, Masato Takeichi, Masatoshi Yoshikawa, Data Integration Models and Architectures for Service Alliances, Fourth Workshop on Software Foundations for Data Interoperability (SFDI 2020), Tokyo, Japan, September 4-5, 2020.
2. Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Jiaming Huang, Pengrui Hui, Jun Gao, Ji Zhang, and Zujie Ren. Recommendation on Heterogeneous Information Network with Type-sensitive Sampling. In Proc of DASFFA 2020.
3. Liia Butler, Geoffrey Challen, and Tao Xie. Data-Driven Investigation into Variants of Code Writing Questions. In Proceedings of the IEEE International Conference on Software Engineering Education & Training (CSEE&T 2020), Munich, Germany, November 2020.
4. Yongzhi Cao, Yoshinori Ezawa, Guoqing Chen and Haiyu Pan, Modeling and specification of nondeterministic fuzzy discrete-event systems, In: Ceberio M., Kreinovich V. (eds) Decision Making under Constraints. Studies in Systems, Decision and Control, vol 276, 45-58, 2020, Springer.
5. Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang: How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. ASE 2020.
6. Weiyan Chen, Kai Niu, Deng Zhao, Rong Zheng, Dan Wu, Wei Wang, Daqing Zhang, Robust Dynamic Hand Gesture Interaction using LTE Terminals, 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2020.
7. Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu. A Comprehensive Study on Challenges in Deploying Deep Learning Based Software. Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020) , Sacramento, California, United States, November 8-13, 2020. (CCF A类会议).
8. Wenjie Chu, Haiyan Zhao, Zhi Jin, Zhenjiang Hu, Adaptive Data Sharing and Computation Offloading in Cloud-Edge Computing with Resource Constraints, 2020 IEEE International Conference on Systems, Man and Cybernetics (SMC).
9. Xu Chu, Yang Lin, Yasha Wang*, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong, Distance Metric Learning with Joint Representation Diversification, 37th International Conference on Machine Learning (ICML 2020). 2020.
10. Jinhao Dong, Yiling Lou, Dan Hao: SRRTA: Regression Testing Acceleration via State Reuse. NIER Track, ASE 2020.
11. Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu, Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation, 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020.
12. Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun, StageNet: Stage-Aware Neural Networks for Health Risk Prediction, In: Proceedings of The Web Conference 2020. 2020, pp. 530-540.
13. Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui: Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132.
14. Xiaofeng Guo, Xin Peng, Hanzhang Wang, Wanxue Li, Huai Jiang, Dan Ding, Tao Xie, and Liangfei Su. Graph-based Trace Analysis for Microservice Architecture Understanding and Problem Diagnosis. In Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020), Industry Paper, Sacramento, California, November 2020.
15. Ningyu He, Lei Wu, Haoyu Wang, Yao Guo, and Xuxian Jiang, "Characterizing Code Clones in the Ethereum Smart Contract Ecosystem", In The 24th International Conference on Financial Cryptography and Data Security 2020 (FC'20), Kota Kinabalu, Malaysia, Feb 2020.
16. Yuanduo He, Xu Chu, Yasha Wang, Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining, IEEE 36th International Conference on Data Engineering (ICDE 2020). IEEE, 2020. pp. 373-384.
17. Yangyu Hu, Haoyu Wang, Ren He, Li Li, Gareth Tyson, Ignacio Castro, Yao Guo, Lei Wu and Guoai Xu. "Mobile App Squatting", In The Web Conference 2020 (WWW'20), Taipei, April 2020. Best Student Paper Award.
18. Yuheng Huang, Haoyu Wang, Lei Wu, Gareth Tyson, Xiapu Luo, Run Zhang, Gang Huang, Xuanzhe Liu, Xuxian Jiang. Understanding (Mis)Behavior on the EOSIO Blockchain. Proceedings of the ACM on Measurement and Analysis of Computing Systems, SIGMETRICS 2020, 4(2): 37:1-37:28. (CCF B类会议).
19. Ru Ji, Ningyu He, Lei Wu, Haoyu Wang, Guangdong Bai and Yao Guo. "DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts". The 25th International Conference on Engineering of Complex Computer Systems (ICECCS 2020).
20. Ruyi Ji, Jingjing Liang, Yingfei Xiong, Lu Zhang, Zhenjiang Hu, Question Selection for Interactive Program Synthesis, 41st ACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI 2020), June 15-20, 2020.
21. Ruyi Ji, Yican Sun, Yingfei Xiong, Zhenjiang Hu, Guiding Dynamic Programing via Structural Probability for Accelerating Programming by Example, Proceedings of the ACM on Programming Languages (PACMPL) (OOPSLA 2020), Chicago, USA, November 15 - November 20, 2020.
22. Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang. How to Mitigate the Incident? An Effective Troubleshooting Guide Recommendation Technique for Online Service Systems. ESEC/FSE'20: ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industrial Track, September 2020.
23. Dian Jin, Yan Li, Donggang Cao, CloudMeter: A Tool to Evaluate and Select the Desired VMs[C]//2020 IEEE International Conference on Jointcloud Computing (JCC). IEEE, Oxford, UK, Aug 3-6, 2020。
24. Wing Lam, Stefan Winter, Anjiang Wei, Tao Xie, Darko Marinov, and Jonathan Bell. A Large-Scale Longitudinal Study of Flaky Tests. In Proceedings of ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2020), Chicago, Illinois, November 2020.
25. Wing Lam, August Shi, Reed Oei, Sai Zhang, Michael D. Ernst and Tao Xie. Dependent-Test-Aware Regression Testing Techniques. In Proceedings of the 2020 International Symposium on Software Testing and Analysis (ISSTA 2020), Los Angeles, California, July 2020.
26. Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu and Zhenjiang Hu, Dynamic Gas Estimation of Loops using Machine Learning, 2020 International Conference on Blockchain and Trustworthy Systems (BlockSys 2020), August 6-7, 2020.
27. Linyi Li, Zhenwen Li, Weijie Zhang, Jun Zhou, Pengcheng Wang, Jing Wu, Guanghua He, Xia Zeng, Yuetang Deng, and Tao Xie. Clustering Test Steps in Natural Language Toward Automating Test Automation. In Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020), Industry Paper, Sacramento, California, November 2020.
28. Nianyu Li, Javier Camara, David Garlan and Bradley Schmerl. Reasoning about When to Provide Explanation for Human-in-the-loop Self-Adaptive systems. In Proceedings of the 2020 IEEE Conference on Autonomic Computing and Self-organizing Systems (ACSOS’20), Washington, D.C., 19-23 August 2020.
29. Nianyu Li, Sridhar Adepu, Eunsuk Kang and David Garlan. Explanations for Human-on-the-loop: A Probabilistic Model Checking Approach. In Proceedings of the 15th International Symposium on Software Engineering for Adaptive and Self-managing Systems (SEAMS’20), 29 June – 3 July 2020.
30. Shengjie Li, Zhaopeng Liu, Yue Zhang, Qin Lv, Xiaopeng Niu, Leye Wang, and Daqing Zhang. 2020. WiBorder: Precise Wi-Fi based Boundary Sensing via Through-wall Discrimination. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 2, Article 89, 30 pages. DOI:https://doi.org/10.1145/3411834, 2020
31. Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei, SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud[C]//2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS). IEEE, Singapore, Nov 29-Dec 1, 2020。
32. Yan Li, Junming Ma, Donggang Cao, Cross-domain Workloads Performance Prediction via Runtime Metrics Transferring[C]//2020 IEEE International Conference on Jointcloud Computing (JCC). IEEE, Oxford, UK, Aug 3-6, 2020。
33. Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui: Efficient Automatic CASH via Rising Bandits. AAAI 2020: 4763-4771.
34. Yangxin Lin, Yang Zhou, Shengyue Yao, Fan Ding, and Ping Wang, "Real-time Fine-grained Freeway Traffic State Estimation under Sparse Observation", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020. (已接收，CCF B类会议)
35. Chunyang Ling, Zeqi Lin, Yanzhen Zou, Bing Xie. Adaptive Deep Code Search. The 28th ACM/IEEE International Conference on Program Comprehension (ICPC 2020). Accepted.
36. Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, Xiangqun Chen, "PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing". ACM IMWUT (UbiComp 2021). (Accepted)
37. Fang Liu, Ge Li, Xin Xia, Bolin Wei, Zhi Jin, A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning, Proceedings of the 28th IEEE/ACM International Conference on Program Comprehension, Seoul, South Korea, May 23-24, 2020. (ICPC 2020) (ACM Distinguish Paper Award)
38. Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin, Multi-task Learning based Pre-trained Language Model for Code Completion, the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), Accepted.
39. Liu K, Zhang X, Arcaini P, et al. Leveraging Test Logs for Building a Self-Adaptive Path Planner[C]//Proceedings of the 15th International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'20). 2020.
40. Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawende F. Bissyande and Jacques Klein, "MadDroid: Characterising and Detecting Devious Ad Content for Android Apps". In The Web Conference 2020 (WWW'20), Taipei, April 2020.
41. Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang, "K-BERT: Enabling Language Representation with Knowledge Graph." Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. (Regular paper, CCF A类会议, EI检索）
42. Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang: Can automated program repair refine fault localization? a unified debugging approach. ISSTA 2020: 75-87.
43. Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang: Understanding Build Issue Resolution in Practice: Symposiums and Fix Patterns. FSE 2020.
44. Yixing Luo, Yijun Yu, Zhi Jin, Yao Li, Zuohua Ding, Yuan Zhou, Yang Liu: Privacy-Aware UAV Flights through Self-Configuring Motion Planning. ICRA 2020: 1169-1175.
45. Junming Ma, Yan Li, Xiangqun Chen, Donggang Cao. PrTaurus: An Availability-Enhanced EMR Service on Preemptible Cloud Instances// 2020 IEEE International Conference on Web Services (ICWS 2020). IEEE, Beijing, China, Oct 18-24, 2020.
46. Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma, AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 825-832.
47. Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao, Concare: Personalized clinical feature embedding via capturing the healthcare context, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 833-840.
48. M. Ma, P. Wang*, J-M. Xu, Y. Wang and P-F. Chen, "AutoMAP: Diagnose Your Microservice-based Web Applications Automatically", The Web Conference (WWW), 2020.
49. Zhiyi Ma, Hongjie Chen, Yanwei Bai, and Ye Qiu. Research on the Input Methods of Cardboard. Computational Science and Its Applications – ICCSA 2020.
50. D-S. Pan, X-Z. Zheng, W-J. Liu, M-Y. Li, M. Ma, Z. Ying*, L. Yang, P. Wang*, "Multi-label Classification for Clinical Text with Feature-level Attention", in Proceedings of the IEEE International Conference on High Performance and Smart Computing (HPSC), 2020. (EI检索)
51. Ye Qiu, Xiaolong Gong, Zhiyi Ma. BusinessDetect: An Advanced Business Information Mining Application for Intelligent Marketing. 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI).
52. Ye Qiu, Zhiyi Ma, Xiaolong Gong, Xi Chen. An Informative Semi-Supervised Method for Multi-label Classification. The 9th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC2020)
53. Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao. Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. In Proc of CIKM 2020.
54. Shudi Shao, Zhengyi Qiu, Xiao Yu, Wei Yangz, Guoliang Jin, Tao Xie, and Xintao Wu. Database-Access Performance Antipatterns in Database-Backed Web Applications. In Proceedings of 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020), Adelaide, Australia, September-October 2020.
55. Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen: Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. SIGMOD Conference 2020: 1797-1812.
56. Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li, Jun Gao:PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems.ICDE 2020: 157-168.
57. Yanchun Sun, Hang Yin, Jiu Wen, Zhiyu Sun. Urban Region Function Mining Service Based on Social Media Text Analysis. Proceedings of the 13th International Conference on Service Science ( ICSS 2020), Qinghai, China。
58. Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang. TreeGen: A Tree-Based Transformer Architecture for Code Generation. AAAI'20: Thirty-Fourth AAAI Conference on Artificial Intelligence, January 2020.
59. Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang, “Automatic Testing and Improvement of Machine Translation,” Proceedings of 42nd International Conference on Software Engineering (ICSE 2020), May 2020, pp. 974-985.
60. Xin Tan, Minghui Zhou, and Brian Fitzgerald. 2020. Scaling open source communities: an empirical study of the Linux kernel. ICSE '20, 42nd International Conference on Software Engineering, May 23-29, Seoul, South Korea. 1222–1234.
61. Jumpei Tanaka, Van-Dang Tran, Zhenjiang Hu, Toward Programmable Strategy for Co-existence of Relational Schemes, Fourth Workshop on Software Foundations for Data Interoperability (SFDI 2020), Tokyo, Japan, September 4-5, 2020.
62. Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu, A Counterexample-Guided Debugger for Non-Recursive Datalog , 18th Asian Symposium on Programming Languages and Systems (APLAS 2020), Fukuoka City, Japan, November 30 - December 2, 2020.
63. Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu, Programmable View Update Strategies on Relations , 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, August 31 - September 4, 2020. pp.726-739.
64. Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu, BIRDS: Programming view update strategies in Datalog (demo paper), 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, August 31 - September 4, 2020. pp.726-739.
65. Christos Tsigkanos, Nianyu Li, Zhi Jin, Zhenjiang Hu, Carlo Ghezzi, Scalable Multiple-View Analysis of Reactive Systems via Bidirectional Model Transformations , 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), Melbourne, Australia, September 21-25, 2020. (Distinguished Paper Award).
66. Kanae Tsushima, Bach Nguyen Trong, Robert Gluck and Zhenjiang Hu, An Efficient Composition of Bidirectional Programs by Memoization and Lazy Update, 15th International Symposium on Functional and Logic Programming (FLOPS 2020), Japan, 2020.
67. Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang, Multi-type resource allocation with partial preferences, in the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, Feb. 7-12, 2020, pp. 2260-2267.
68. Heyuan Wang, Tengjiao Wang, Yi Li. Incorporating Expert-based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. AAAI 2020.
69. Jiangtao Wang, Junyi Ma, Yasha Wang, Ning Wang, Leye Wang, Daqing Zhang, Feng Wang, Qin Lv, Will Online Digital Footprints Reveal Your Relationship Status? An Empirical Study of Social Applications for Sexual-Minority Men. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp 2020), 2020, 4(1): 1-23.
70. Jie Wang, Yunguang Wu, Gang Zhou, Yiming Yu, Zhenyu Guo, Yingfei Xiong. Scaling Static Taint Analysis to Industrial SOA Applications: A Case Study at Alibaba. ESEC/FSE'20: ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industrial Track, September 2020.
71. Purui Wang, Lilei Feng, Guojun Chen, Chenren Xu, Yue Wu, Kenuo Xu, Guobin Shen, Tuntai Du, Gang Huang, Xuanzhe Liu. Renovating Road Signs for Infrastructure-to-Vehicle Networking: A Visible Light Backscatter Communication and Networking Approach. Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020, 6:1-6:13. (CCF A类会议).
72. Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin, Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree, Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution and Reengineering London, Ontario, Canada, February 18-21, 2020. (SANER 2020)
73. Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin, Retrieve and Refine: Exemplar-based Neural Comment Generation, the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), Accepted.
74. Maria K Wolters, Shuobing Li, Haoyu Wang, Xinyu Yang, and Yao Guo, "Does the Presence of Privacy Relevant Information Affect App Market Choice?", The ACM CHI Conference on Human Factors in Computing Systems (ACM CHI'20), Late-Breaking Work, Honolulu, Hawai, April 2020.
75. Dan Wu, Ruiyang Gao, Youwei Zeng, Jinyi Liu, Leye Wang, Tao Gu, Daqing Zhang. 2020. FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 1, Article 31, 27 pages. https://doi.org/10.1145/3380981, 2020
76. Jue Wu, Junyi Ma, Yasha Wang, Jiangtao Wang, Understanding and Predicting the Burst of Burnout via Social Media, 23rd ACM Conference on Computer-Supported Cooperative Work (CSCW 2020), 2020.
77. Zhenhao Wu, Jiashuo Zhang, Jianbo Gao, Yue Li, Qingshan Li, Zhi Guan, Zhong Chen, "Kaya: A Testing Framework for Blockchain-based Decentralized Applications." 36th IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
78. Qun Xia, Zhongzhu Zhou, Zhihao Li, Bin Xu, Wei Zou, Zishun Chen, Huafeng Ma, Gangqiang Liang, Haochuan Lu, Shiyu Guo, Ting Xiong, Yuetang Deng, and Tao Xie. JSidentify: A Hybrid Framework for Detecting Plagiarism Among JavaScript Code in Online Mini Games. In Proceedings of the 42nd International Conference on Software Engineering (ICSE 2020), Software Engineering in Practice (SEIP), Seoul, South Korea, May 2020.
79. Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin. Approximate Query Service on Autonomous IoT Cameras. Proceedings of the 18th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2020, 191-205. (CCF B类会议).
80. Wentian Yan, Jianbo Gao, Zhenhao Wu, Yue Li, Zhi Guan, Qingshan Li, and Zhong Chen. 2020. EShield: protect smart contracts against reverse engineering. In Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2020). Association for Computing Machinery, New York, NY, USA, 553–556. DOI:https://doi.org/10.1145/3395363.3404365
81. Dechuan Yang, Qiyu Wu, Wei Chen*, Tengjiao Wang, Zhen Qiu, Di Liu and Yingbao Cui. Stance Detection with Stance-Wise Convolution Network. NLPCC 2020.
82. Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie. "COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment." Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI’20), 2020, NewYork, USA.
83. Youwei Zeng, Dan Wu, Jie Xiong, Jinyi Liu, Zhaopeng Liu, and Daqing Zhang. MultiSense: Enabling Multi-person Respiration Sensing with Commodity WiFi. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 3, Article 102, 2020
84. Fusang Zhang, Zhaoxin Chang, Kai Niu, Jie Xiong, Beihong Jin, Qin Lv, and Daqing Zhang. Exploring LoRa for Long-range Through-wall Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 2, Article 68, 27 pages. DOI:https://doi.org/10.1145/3397326, 2020.
85. Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin, Generating Adversarial Examples for Holding Robustness of Source Code Processing Models, Proceedings of the 34th AAAI Conference on Artificial Intelligence, New York, USA, Feb 7-12, 2020. (AAAI'20, CCF Rank A)
86. J. Zhang, M. Ma, P. Wang*. "Lead Time-Aware Proactive Adaptation for Service-Oriented Systems", 2020 IEEE International Conference on Web Services (ICWS). (已接收,2020年10月, Regular Paper, EI检索, CCF B类会议)
87. Jingzhuo Zhang, Weijie Liu, Ping Wang*, "Drug Drug Interaction Extraction from Chinese Biomedical Literature using Distant Supervision”, IEEE International Conference on Knowledge Graph (ICKG), 2020. (EI检索).
88. Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang. NLocalSAT: Boosting Local Search with Solution Prediction. IJCAI'20: 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, July 2020.
89. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui: Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE 2020: 73-84.
90. Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui: Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference 2020: 1399-1414.
91. Xing Zhang, Van-Dang Tran, Zhenjiang Hu, A Cheap Implementation of Resugaring in BIRDS based on Bidirectional Transformation, Fourth Workshop on Software Foundations for Data Interoperability (SFDI 2020), Tokyo, Japan, September 4-5, 2020.
92. Yongzhe Zhang, Ariful Azad, Zhenjiang Hu, FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence, SIAM Conference on Parallel Processing for Scientific Computing (PP 2020), Seatle, Washington, United States, February 13-15, 2020.
93. Yuhao Zhang, Luyao Ren, Liqian Chen, Yingfei Xiong, Shing-Chi Cheung, Tao Xie. Detecting Numerical Bugs in Neural Network Architectures. ESEC/FSE'20: ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, November 2020.
94. Yuxia Zhang, Minghui Zhou, Klaas-Jan Stol, Jianyu Wu, Zhi Jin: How do companies collaborate in open source ecosystems? an empirical study of OpenStack. ICSE 2020: 1196-1208。
95. Zhaoxu Zhang, Hengcheng Zhu, Ming Wen, Yida Tao, Yepang Liu, Yingfei Xiong. How Do Python Framework APIs Evolve? An Exploratory Study. SANER'20: 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, February 2020.
96. Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang: ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. ICDE 2020: 1513-1524.
97. Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu, "Dynamic Slicing for Deep Neural Networks", In FSE 2020
98. Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, Dan Hao: Cost-Effective Testing of a Deep Learning Model through Input Reduction, ISSRE 2020.
99. Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang. OCoR: An Overalpping-Aware Code Retriever. ASE'20: 35th IEEE/ACM International Conference on Automated Software Engineering, September 2020.
100. Daming Zou, Muhan Zeng, Yingfei Xiong, Zhoulai Fu, Lu Zhang, Zhendong Su. Detecting Floating-Point Errors via Atomic Conditions. POPL'20: 47th ACM SIGPLAN Symposium on Principles of Programming Languages, New Orleans, Louisiana, United States, January 2020.
四、中文期刊
1. 张心怡，张智鹏，张铁赢，崔斌，范举：RLO: 一个基于强化学习的连接优化方法。中国科学:信息科学 2020年第50卷第5期:637–648
2. 王博, 卢思睿, 姜佳君, 熊英飞. 基于动态分析的软件不变量综合技术. 软件学报, 31(6):1681−1702, 2020年6月.
3. 张明悦，金芝，赵海燕，罗懿行.机器学习赋能的软件自适应性综述. 2020,31(8):2404-2431 .
4. 牛凯, 张扶桑, 吴丹, 张大庆，用菲涅尔区模型探究 WiFi 感知系统的稳定性，《计算机科学与探索》, 1-15，2020.
5. 李晟洁, 李翔, 张越, 王亚沙， 张大庆，基于Wi-Fi 信道状态信息的行走识别与行走参数估计，《软件学报》, 1-18，2020.
五、国内会议
1. 武家伟,孙艳春.一种基于知识图谱和社交媒体的问诊推荐系统.第十一届中国计算机学会服务计算学术会议(NCSC 2020), 2020年8月24-26, 青海西宁, 中国.
2. 曾有为，吴丹，张大庆，基于Wi-Fi的多人呼吸感知的理解和建模，第十六届全国普适计算学术会议(PCC 2020)，2020。
3. 陈蔚燕，张扶桑，刘俊杰，张大庆，基于IR-UWB的多视角融合动态目标追踪，第十六届全国普适计算学术会议(PCC 2020)，2020
4. 陈李越，柴迪，王乐业，UCTB：时空人群流动预测工具箱，第十六届全国普适计算学术会议(PCC 2020)，2020
5. 王乐业, A Survey of Geographic Local Differential Privacy for Spatial Crowdsourcing ，第十六届全国普适计算学术会议(PCC 2020)，2020