Profile

Dr Wenjie Ruan

Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 |

2020

• Huang X, Kroening D, Ruan W, Sharp J, Sun Y, Thamo E, Wu M, Yi X. (2020) A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability, Computer Science Review, volume 37, DOI:10.1016/j.cosrev.2020.100270. [PDF]
• Chen D, Wang J, Ruan W, Ni Q, Helal S. (2020) Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study, arXiv preprint arXiv:2005.01423.
• Ma L, Ma X, Gao J, Zhang C, Yu Z, Jiao X, Ruan W, Wang Y, Tang W, Wang J. (2020) CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis, arXiv preprint arXiv:2007.08848.
• Ma L, Zhang C, Wang Y, Ruan W, Wang J, Tang W, Ma X, Gao X, Gao J. (2020) ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context, The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, pages 833-840. [PDF]
• Ma L, Gao J, Wang Y, Zhang C, Wang J, Ruan W, Tang W, Gao X, Ma X. (2020) AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration, The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, pages 825-832. [PDF]
• Wu M, Wicker M, Ruan W, Huang X, Kwiatkowska M. (2020) A game-based approximate verification of deep neural networks with provable guarantees, Theoretical Computer Science, volume 807, pages 298-329, DOI:10.1016/j.tcs.2019.05.046.

2019

• Huang W, Sun Y, Sharp J, Ruan W, Meng J, Huang X. (2019) Coverage Guided Testing for Recurrent Neural Networks.
• Ma L, Zhang C, Wang Y, Ruan W, Wang J, Tang W, Ma X, Gao X, Gao J. (2019) ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context, CoRR, volume abs/1911.12216. [PDF]
• Ma L, Gao J, Wang Y, Zhang C, Wang J, Ruan W, Tang W, Gao X, Ma X. (2019) AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration, CoRR, volume abs/1911.12205. [PDF]
• Ruan W, Wu M, Sun Y, Huang X, Kroening D, Kwiatkowska M. (2019) Global robustness evaluation of deep neural networks with provable guarantees for the hamming distance, IJCAI International Joint Conference on Artificial Intelligence, volume 2019-August, pages 5944-5952, DOI:10.24963/ijcai.2019/824. [PDF]
• Wu M, Louw T, Lahijanian M, Ruan W, Huang X, Merat N, Kwiatkowska M. (2019) Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles, IEEE International Conference on Intelligent Robots and Systems, pages 6210-6216, DOI:10.1109/IROS40897.2019.8967779.

2018

• Wu M, Wicker M, Ruan W, Huang X, Kwiatkowska M. (2018) A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees, CoRR, volume abs/1807.03571. [PDF]
• Ruan W, Huang X, Kwiatkowska M. (2018) Reachability Analysis of Deep Neural Networks with Provable Guarantees, CoRR, volume abs/1805.02242. [PDF]
• Sun Y, Wu M, Ruan W, Huang X, Kwiatkowska M, Kroening D. (2018) Concolic Testing for Deep Neural Networks, CoRR, volume abs/1805.00089. [PDF]
• Ruan W, Wu M, Sun Y, Huang X, Kroening D, Kwiatkowska M. (2018) Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm, CoRR, volume abs/1804.05805. [PDF]
• Zhang WE, Sheng QZ, Lau JH, Abebe E, Ruan W. (2018) Duplicate Detection in Programming Question Answering Communities, ACM Trans. Internet Techn, volume 18, pages 37:1-37:21, article no. 3, DOI:10.1145/3169795. [PDF]
• Alfazi A, Sheng QZ, Babar A, Ruan W, Qin Y. (2018) Toward Unified Cloud Service Discovery for Enhanced Service Identification, Lecture Notes in Business Information Processing, volume 234, pages 149-163, DOI:10.1007/978-3-319-76587-7_10.
• Yao L, Sheng QZ, Li X, Gu T, Tan M, Wang X, Wang S, Ruan W. (2018) Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength, IEEE Transactions on Mobile Computing, volume 17, no. 2, pages 293-306, DOI:10.1109/TMC.2017.2706282.
• Ruan W, Sheng QZ, Yao L, Li X, Falkner NJG, Yang L. (2018) Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach, Journal of Network and Computer Applications, volume 104, pages 78-96, DOI:10.1016/j.jnca.2017.12.010.
• Ruan W, Sheng QZ, Xu P, Yang L, Gu T, Shangguan L. (2018) Making Sense of Doppler Effect for Multi-Modal Hand Motion Detection, IEEE Transactions on Mobile Computing, volume 17, no. 9, pages 2087-2100, DOI:10.1109/TMC.2017.2762677.
• Zhang WE, Sheng QZ, Tang Z, Ruan W. (2018) Related or duplicate: Distinguishing similar CQA questions via convolutional neural networks, 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, pages 1153-1156, DOI:10.1145/3209978.3210110.
• Ruan W, Huang X, Kwiatkowska M. (2018) Reachability analysis of deep neural networks with provable guarantees, IJCAI International Joint Conference on Artificial Intelligence, volume 2018-July, pages 2651-2659, DOI:10.24963/ijcai.2018/368. [PDF]
• Sun Y, Huang X, Wu M, Kwiatkowska M, Ruan W, Kroening D. (2018) Concolic testing for deep neural networks, ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, pages 109-119, DOI:10.1145/3238147.3238172. [PDF]

2017

• Ruan W, Xu P, Sheng QZ, Falkner NJG, Li X, Zhang WE. (2017) Recovering missing values from corrupted spatio-temporal sensory data via robust low-rank tensor completion, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 10177 LNCS, pages 607-622, DOI:10.1007/978-3-319-55753-3_38.
• Xu P, Ruan W, Sheng QZ, Gu T, Yao L. (2017) Interpolating the missing values for multi-dimensional spatial-temporal sensor data: A tensor SVD approach, ACM International Conference Proceeding Series, pages 442-451, DOI:10.1145/3144457.3144474.

2016

• Ruan W, Sheng QZ, Yao L, Yang L, Gu T. (2016) HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 14th - 18th Mar 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), DOI:10.1109/percomw.2016.7457055.
• Ruan W. (2016) Unobtrusive human localization and activity recognition for supporting independent living of the elderly, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, DOI:10.1109/PERCOMW.2016.7457085.
• Ruan W, Sheng QZ, Yao L, Tran NK, Yang YC. (2016) PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, DOI:10.1109/PERCOMW.2016.7457071.
• Qin Y, Peng H, Ruan W. (2016) Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights, Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), volume 47, no. 8, pages 2676-2684, DOI:10.11817/j.issn.1672-7207.2016.08.019.
• Ruan W, Xu P, Sheng QZ, Tran NK, Falkner NJG, Li X, Zhang WE. (2016) When Sensor Meets Tensor, CIKM'16: ACM Conference on Information and Knowledge Management, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, DOI:10.1145/2983323.2983900.
• Ruan W, Sheng QZ, Xu P, Tran NK, Falkner NJG, Li X, Zhang WE. (2016) Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model, CIKM'16: ACM Conference on Information and Knowledge Management, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, DOI:10.1145/2983323.2983899.
• Ruan W, Chea L, Sheng QZ, Yao L. (2016) Recognizing daily living activity using embedded sensors in smartphones: A data-driven approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 10086 LNAI, pages 250-265, DOI:10.1007/978-3-319-49586-6_17.
• Zhou F, Peng H, Ruan W, Wang D, Liu M, Gu Y, Li L. (2016) Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process, Neural Computing and Applications, volume 30, no. 4, pages 1039-1053, DOI:10.1007/s00521-016-2735-4.
• Ruan W, Sheng QZ, Yang L, Gu T, Xu P, Shangguan L. (2016) AudioGest: Enabling fine-grained hand gesture detection by decoding echo signal, UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 474-485, DOI:10.1145/2971648.2971736.
• Ruan W, Sheng QZ, Yao L, Gu T, Ruta M, Shangguan L. (2016) Device-free indoor localization and tracking through Human-Object Interactions, WoWMoM 2016 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks, DOI:10.1109/WoWMoM.2016.7523524.

2015

• Ruan W, Yao L, Sheng QZ, Falkner NJG, Li X, Gu T. (2015) TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags, Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2015, Coimbra, Portugal, July 22-24, 2015, pages 140-149, DOI:10.4108/eai.22-7-2015.2260072. [PDF]
• Lina Yao, Sheng QZ, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang. (2015) Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength, 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS), 14th - 17th Dec 2015, 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS), DOI:10.1109/icpads.2015.23.
• Yao L, Sheng QZ, Ruan W, Gu T, Li X, Falkner N, Yang Z. (2015) RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array, 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 22nd - 24th Jul 2015, Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, DOI:10.4108/eai.22-7-2015.2260064.
• Yao L, Sheng QZ, Li X, Wang S, Gu T, Ruan W, Zou W. (2015) Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data, 2015 IEEE International Conference on Data Mining (ICDM), 14th - 17th Nov 2015, 2015 IEEE International Conference on Data Mining, DOI:10.1109/icdm.2015.102.
• Yao L, Sheng QZ, Ruan W, Gu T, Li X, Falkner NJG, Yang Z. (2015) RF-care: Device-free posture recognition for elderly people using a passive RFID tag array, Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, pages 110-119, DOI:10.4108/icst.mobiquitous.2015.260064.
• Yao L, Wang X, Sheng QZ, Ruan W, Zhang W. (2015) Service Recommendation for Mashup Composition with Implicit Correlation Regularization, Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015, pages 217-224, DOI:10.1109/ICWS.2015.38.

2014

• Qin Y, Peng H, Ruan W, Wu J, Gao J. (2014) A modeling and control approach to magnetic levitation system based on state-dependent ARX model, Journal of Process Control, volume 24, no. 1, pages 93-112, DOI:10.1016/j.jprocont.2013.10.016.
• Wang X, Peng X, Yang Y, Peng H, Ruan W. (2014) RBF-ARX model·based optimal control method for moisture content in output dried cut tobacco, Tobacco Science and Technology, no. 1, pages 26-30.
• Ruan W, Yao L, Sheng QZ, Falkner NJG, Li X. (2014) TagTrack: Device-free localization and tracking using passive RFID tags, MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pages 80-89, DOI:10.4108/icst.mobiquitous.2014.258004.
• Yao L, Ruan W, Sheng QZ, Li X, Falkner NJG. (2014) Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches, CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, pages 1799-1802, DOI:10.1145/2661829.2661873.

Showing 45 publications from Symplectic.