Recurrent knowledge graph embedding for effective recommendation Z Sun, J Yang, J Zhang, A Bozzon, LK Huang, C Xu Proceedings of the 12th ACM conference on recommender systems, 297-305, 2018 | 315 | 2018 |
Learning to dispatch for job shop scheduling via deep reinforcement learning C Zhang, W Song, Z Cao, J Zhang, PS Tan, X Chi Advances in Neural Information Processing Systems 33, 1621-1632, 2020 | 203 | 2020 |
A unified neural coherence model HC Moon, T Mohiuddin, S Joty, X Chi arXiv preprint arXiv:1909.00349, 2019 | 49 | 2019 |
Delay-dependent threshold selection for UWB TOA estimation C Xu, CL Law IEEE communications letters 12 (5), 380-382, 2008 | 40 | 2008 |
Learning variable ordering heuristics for solving constraint satisfaction problems W Song, Z Cao, J Zhang, C Xu, A Lim Engineering Applications of Artificial Intelligence 109, 104603, 2022 | 28 | 2022 |
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. Z Sun, J Yang, J Zhang, A Bozzon, Y Chen, C Xu IJCAI, 2807-2813, 2017 | 26 | 2017 |
High-resolution UWB ranging based on phase-only correlator Y Zhou, YL Guan, CL Law, C Xu 2007 IEEE International Conference on Ultra-Wideband, 100-104, 2007 | 25 | 2007 |
Adaptive two-stage feature selection for sentiment classification X Chi, TP Siew, E Cambria 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 22 | 2017 |
A framework for mining RFID data from schedule-based systems G Ertek, X Chi, AN Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (11), 2967-2984, 2016 | 19 | 2016 |
TOA estimator for UWB backscattering RFID system with clutter suppression capability C Xu, CL Law EURASIP Journal on Wireless Communications and Networking 2010, 1-14, 2010 | 18 | 2010 |
Text mining analysis of wind turbine accidents: An ontology-based framework G Ertek, X Chi, AN Zhang, S Asian 2017 IEEE International Conference on Big Data (Big Data), 3233-3241, 2017 | 14 | 2017 |
Sparsity adjusted information gain for feature selection in sentiment analysis BY Ong, SW Goh, C Xu 2015 IEEE International Conference on Big Data (Big Data), 2122-2128, 2015 | 14 | 2015 |
GLIMG: Global and local item graphs for top-N recommender systems Z Lin, L Feng, R Yin, C Xu, CK Kwoh Information Sciences 580, 1-14, 2021 | 13 | 2021 |
Forecast UPC-level FMCG demand, Part I: Exploratory analysis and visualization D Yang, GSW Goh, C Xu, AN Zhang, O Akcan 2015 IEEE International Conference on Big Data (Big Data), 2106-2112, 2015 | 11 | 2015 |
Artificial intelligence, social media and supply chain management: the way forward A Khatua, A Khatua, X Chi, E Cambria Electronics 10 (19), 2348, 2021 | 10 | 2021 |
Complex and intelligent systems in manufacturing S Jiang, C Xu, A Gupta, L Feng, YS Ong, AN Zhang, PS Tan IEEE Potentials 35 (4), 23-28, 2016 | 10 | 2016 |
Performance evaluation of ethereum-based on-chain sensor data management platform for industrial IoT K Toyoda, M Shakeri, X Chi, AN Zhang 2019 IEEE International Conference on Big Data (Big Data), 3939-3946, 2019 | 8 | 2019 |
Coping with big data in transfer optimization M Shakeri, A Gupta, YS Ong, X Chi, AZ NengSheng 2019 IEEE International Conference on Big Data (Big Data), 3925-3932, 2019 | 8 | 2019 |
Attention over self-attention: Intention-aware re-ranking with dynamic transformer encoders for recommendation Z Lin, S Zang, R Wang, Z Sun, J Senthilnath, C Xu, CK Kwoh IEEE Transactions on Knowledge and Data Engineering, 2022 | 6 | 2022 |
Experimental evaluation of UWB ranging performance for correlation and ED receivers in dense multipath environment C Xu, CL Law Future Generation Communication and Networking (FGCN 2007) 2, 186-192, 2007 | 6 | 2007 |