| Are we evaluating rigorously? benchmarking recommendation for reproducible evaluation and fair comparison Z Sun, D Yu, H Fang, J Yang, X Qu, J Zhang, C Geng Fourteenth ACM conference on recommender systems, 23-32, 2020 | 85 | 2020 |
| An improved TLBO based memetic algorithm for aerodynamic shape optimization X Qu, R Zhang, B Liu, H Li Engineering Applications of Artificial Intelligence 57, 1-15, 2017 | 45 | 2017 |
| Minimalistic attacks: How little it takes to fool deep reinforcement learning policies X Qu, Z Sun, YS Ong, A Gupta, P Wei IEEE Transactions on Cognitive and Developmental Systems 13 (4), 806-817, 2020 | 24 | 2020 |
| Iterated local search for distributed multiple assembly no-wait flowshop scheduling P Li, Y Yang, X Du, X Qu, K Wang, B Liu 2017 IEEE Congress on evolutionary computation (CEC), 1565-1571, 2017 | 18 | 2017 |
| Memetic multi-agent optimization in high dimensions using random embeddings Y Hou, N Jiang, H Ge, Q Zhang, X Qu, L Feng, A Gupta 2019 IEEE Congress on Evolutionary Computation (CEC), 135-141, 2019 | 9 | 2019 |
| Language adaptive cross-lingual speech representation learning with sparse sharing sub-networks Y Lu, M Huang, X Qu, P Wei, Z Ma ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| A novel improved teaching-learning based optimization for functional optimization X Qu, B Liu, Z Li, W Duan, R Zhang, W Zhang, H Li 2016 12th IEEE International Conference on Control and Automation (ICCA …, 2016 | 8 | 2016 |
| Subdomain adaptation with manifolds discrepancy alignment P Wei, Y Ke, X Qu, TY Leong IEEE Transactions on Cybernetics 52 (11), 11698-11708, 2021 | 6 | 2021 |
| Defending adversarial attacks without adversarial attacks in deep reinforcement learning X Qu, YS Ong, A Gupta, Z Sun arXiv preprint arXiv:2008.06199, 2020 | 6 | 2020 |
| Memetic evolution strategy for reinforcement learning X Qu, YS Ong, Y Hou, X Shen 2019 IEEE Congress on Evolutionary Computation (CEC), 1922-1928, 2019 | 6 | 2019 |
| Top-aware recommender distillation with deep reinforcement learning H Liu, Z Sun, X Qu, F Yuan Information Sciences 576, 642-657, 2021 | 5 | 2021 |
| An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization X Qu, H Li, R Zhang, B Liu 2016 IEEE Congress on Evolutionary Computation (CEC), 3178-3185, 2016 | 5 | 2016 |
| Adversary Agnostic Robust Deep Reinforcement Learning X Qu, A Gupta, YS Ong, Z Sun IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 4 | 2021 |
| Adaptive knowledge transfer based on transfer neural kernel network P Wei, X Qu, Y Ke, TY Leong, YS Ong AAMAS Proceedings of the 19th International Conference on Autonomous Agents …, 2020 | 4 | 2020 |
| Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression P Wei, TV Vo, X Qu, YS Ong, Z Ma IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 3* | 2022 |
| DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Z Sun, H Fang, J Yang, X Qu, H Liu, D Yu, YS Ong, J Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 2 | 2022 |
| Generative Multiform Bayesian Optimization Z Guo, H Liu, YS Ong, X Qu, Y Zhang, J Zheng IEEE Transactions on Cybernetics, 2022 | 2 | 2022 |
| Frame-correlation transfers trigger economical attacks on deep reinforcement learning policies X Qu, YS Ong, A Gupta IEEE Transactions on Cybernetics 52 (8), 7577-7590, 2021 | 2 | 2021 |
| Team effectiveness based optimization X Feng, M Ji, Z Li, X Qu, B Liu 2017 IEEE Congress on Evolutionary Computation (CEC), 2248-2257, 2017 | 2 | 2017 |
| Unsupervised Video Domain Adaptation: A Disentanglement Perspective P Wei, L Kong, X Qu, X Yin, Z Xu, J Jiang, Z Ma arXiv preprint arXiv:2208.07365, 2022 | 1 | 2022 |
