ReCePS: Reward Certification for Policy Smoothed Reinforcement Learning

Mu, R., Soriano Marcolino, L., Zhang, T., Zhang, Y., Huang, X. & Ruan, W., 10/12/2023, (Accepted/In press) Conference on Artificial Intelligence (AAAI-24): SRRAI Special Track.

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Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning

Mu, R., Ruan, W., Soriano Marcolino, L., Jin, G. & Ni, Q., 7/02/2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI

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EV Charging Recommendation Concerning Preemptive Service and Charging Urgency Policy

Liu, S., Cao, Y., Ruan, W., Ni, Q., Nati, M. & Suthaputchakun, C., 15/02/2021, 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). IEEE, 5 p.

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AdaCare: Explainable Clinical Health Status Representation Learning via Scale Adaptive Feature Extraction and Recalibration

Ma, L., Gao, J., Wang, Y., Wang, J., Ruan, W., Zhang, C., Tang, W., Gao, X. & Ma, X., 3/04/2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020. AAAI, p. 825-832 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 1).

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ConCarE: Personalized Clinical Feature Embedding via Capturing the Healthcare Context

Ma, L., Zhang, C., Wang, Y., Ruan, W., Wang, J., Tang, W., Ma, X., Gao, X. & Gao, J., 3/04/2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020. AAAI, p. 833-840 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 1).

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Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles

Wu, M., Louw, T., Lahijanian, M., Ruan, W., Huang, X., Merat, N. & Kwiatkowska, M., 27/01/2020, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, p. 6210-6216 7 p.

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Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance

Ruan, W., Wu, M., Sun, Y., Huang, X., Kroening, D. & Kwiatkowska, M., 31/07/2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), August 10-16, 2019, Macau, China. IJCAI, p. 5944-5952 9 p.

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Concolic testing for deep neural networks

Sun, Y., Wu, M., Ruan, W., Huang, X., Kwiatkowska, M. & Kroening, D., 3/09/2018, Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, ASE 2018, Montpellier, France, September 3-7, 2018. New York: Association for Computing Machinery (ACM), p. 109-119 11 p.

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Reachability analysis of deep neural networks with provable guarantees

Ruan, W., Huang, X. & Kwiatkowska, M., 13/07/2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2018. p. 2651-2659 9 p.

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Related or duplicate: Distinguishing similar CQA questions via convolutional neural networks

Zhang, W. E., Sheng, Q. Z., Tang, Z. & Ruan, W., 27/06/2018, SIGIR '18 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. New York: Association for Computing Machinery, Inc, p. 1153-1156 4 p.

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Toward Unified Cloud Service Discovery for Enhanced Service Identification

Alfazi, A., Sheng, Q. Z., Babar, A., Ruan, W. & Qin, Y., 1/04/2018, Service Research and Innovation: 5th and 6th Australasian Symposium, ASSRI 2015 and ASSRI 2017, Revised Selected Papers. Beheshti, A., Zhang, W. E., Dong, H. & Hashmi, M. (eds.). Springer Verlag, p. 149-163 15 p. (Lecture Notes in Business Information Processing; vol. 234).

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Interpolating the missing values for multi-dimensional spatial-temporal sensor data: A tensor SVD approach

Xu, P., Ruan, W., Sheng, Q. Z., Gu, T. & Yao, L., 7/11/2017, 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. Association for Computing Machinery (ACM), p. 442-451 10 p.

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Recovering missing values from corrupted spatio-temporal sensory data via robust low-rank tensor completion

Ruan, W., Xu, P., Sheng, Q. Z., Falkner, N. J. G., Li, X. & Zhang, W. E., 1/04/2017, Database Systems for Advanced Applications . Candan, S., Chen, L., Pedersen, T., Chang, L. & Hua, W. (eds.). Cham: Springer, p. 607-622 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10177).

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Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

Ruan, W., Sheng, Q. Z., Xu, P., Tran, N. K., Falkner, N. J. G., Li, X. & Zhang, W. E., 24/10/2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 2021-2024 4 p.

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When sensor meets tensor: Filling missing sensor values through a tensor approach

Ruan, W., Xu, P., Sheng, Q. Z., Tran, N. K., Falkner, N. J. G., Li, X. & Zhang, W. E., 24/10/2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 2025-2028 4 p.

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AudioGest: Enabling fine-grained hand gesture detection by decoding echo signal

Ruan, W., Sheng, Q. Z., Yang, L., Gu, T., Xu, P. & Shangguan, L., 12/09/2016, UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York: Association for Computing Machinery, Inc, p. 474-485 12 p.

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Device-free indoor localization and tracking through Human-Object Interactions

Ruan, W., Sheng, Q. Z., Yao, L., Gu, T., Ruta, M. & Shangguan, L., 26/07/2016, WoWMoM 2016 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks. IEEE, p. 1-9 9 p. 7523524

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PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness

Ruan, W., Sheng, Q. Z., Yao, L., Tran, N. K. & Yang, Y. C., 14/03/2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. IEEE, p. 1-3 3 p. 7457071

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HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion

Ruan, W., Sheng, Q. Z., Yao, L., Yang, L. & Gu, T., 14/03/2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. IEEE, p. 1-4 4 p. 7457055

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Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

Yao, L., Sheng, Q. Z., Ruan, W., Li, X., Wang, S. & Yang, Z., 15/01/2016, Proceedings - 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015. IEEE, p. 116-123 8 p. 7384286

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Freedom: Online activity recognition via dictionary-based sparse representation of RFID sensing data

Yao, L., Sheng, Q. Z., Li, X., Wang, S., Gu, T., Ruan, W. & Zou, W., 5/01/2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Zhou, Z-H., Aggarwal, C., Xiong, H., Tuzhilin, A. & Wu, X. (eds.). IEEE, p. 1087-1092 6 p. 7373440

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Service Recommendation for Mashup Composition with Implicit Correlation Regularization

Yao, L., Wang, X., Sheng, Q. Z., Ruan, W. & Zhang, W., 13/08/2015, Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015. Zhu, H. & Miller, J. A. (eds.). IEEE, p. 217-224 8 p. 7195572

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RF-care: Device-free posture recognition for elderly people using a passive RFID tag array

Yao, L., Sheng, Q. Z., Ruan, W., Gu, T., Li, X., Falkner, N. J. G. & Yang, Z., 1/01/2015, Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), p. 110-119 10 p.

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