Xinghua Qu
Xinghua Qu
Bytedance (Seed)
Verified email at - Homepage
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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
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
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
Large language models as evolutionary optimizers
S Liu, C Chen, X Qu, K Tang, YS Ong
arXiv preprint arXiv:2310.19046, 2023
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Z Sun, J Yang, K Feng, H Fang, X Qu, YS Ong
SIGIR Proceedings of the 45th International ACM SIGIR Conference on Research …, 2022
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
L Zhang, Z Sun, Z Wu, J Zhang, YS Ong, X Qu
IJCAI, 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
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
Subdomain adaptation with manifolds discrepancy alignment
P Wei, Y Ke, X Qu, TY Leong
IEEE Transactions on Cybernetics 52 (11), 11698-11708, 2021
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
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
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
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
Generative multiform Bayesian optimization
Z Guo, H Liu, YS Ong, X Qu, Y Zhang, J Zheng
IEEE Transactions on Cybernetics 53 (7), 4347-4360, 2022
Top-aware recommender distillation with deep reinforcement learning
H Liu, Z Sun, X Qu, F Yuan
Information Sciences 576, 642-657, 2021
Memetic evolution strategy for reinforcement learning
X Qu, YS Ong, Y Hou, X Shen
2019 IEEE congress on evolutionary computation (CEC), 1922-1928, 2019
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
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
Large Language Models for Intent-Driven Session Recommendations
Z Sun, H Liu, X Qu, K Feng, Y Wang, YS Ong
arXiv preprint arXiv:2312.07552, 2023
Adversary Agnostic Robust Deep Reinforcement Learning
X Qu, A Gupta, YS Ong, Z Sun
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
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