Xinghua Qu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 53

Top Topics

Reinforcement Learning

Top Venues

Publications

Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
Large Language Models as Evolutionary Optimizers. CEC (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2 (3) (2024)
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
Large Language Models for Intent-Driven Session Recommendations. SIGIR (2024)
Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS (2023)
Hang Xu, Xinghua Qu, Zinovi Rabinovich
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning. CoRR (2023)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR (2023)
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong
Large Language Models for Intent-Driven Session Recommendations. CoRR (2023)
Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. 53 (7) (2023)
Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR (2023)
Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
Large Language Models as Evolutionary Optimizers. CoRR (2023)
Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma
AudioQR: Deep Neural Audio Watermarks For QR Code. IJCAI (2023)
Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma
S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. INTERSPEECH (2023)
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR (2023)
Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma
Dynamic Transfer Gaussian Process Regression. CIKM (2022)
Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma
Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks. CoRR (2022)
Xiao Bo Liang, Xinghua Qu, YuanJun Zhang, Lianyin Xu, Fumin Zhang
Vision-based target point tracking and aiming method. Ind. Robot 49 (2) (2022)
Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
Importance Prioritized Policy Distillation. KDD (2022)
Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma
Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks. ICASSP (2022)
Hang Xu, Xinghua Qu, Zinovi Rabinovich
Spiking Pitch Black: Poisoning an Unknown Environment to Attack Unknown Reinforcement Learners. AAMAS (2022)
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR (2022)
Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR (2022)
Qiong Niu, Mingyu Song, Jihui Zheng, Linhua Jia, Junchen Liu, Lingman Ni, Ju Nian, Xingrui Cheng, Fumin Zhang, Xinghua Qu
Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb. Sensors 22 (14) (2022)
Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD (2022)
Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. 52 (11) (2022)
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52 (8) (2022)
Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI (2022)
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR (2022)
Binbin Zhang, Fumin Zhang, Xinghua Qu
A method of locating the 3D centers of retroreflectors based on deep learning. Ind. Robot 48 (3) (2021)
Hongyang Liu, Zhu Sun, Xinghua Qu, Fuyong Yuan
Top-aware recommender distillation with deep reinforcement learning. Inf. Sci. 576 (2021)
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13 (4) (2021)
Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu
A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. IJCNN (2020)
Guoying Ren, Xinghua Qu, Xiangjun Chen
Performance Evaluation and Compensation Method of Trigger Probes in Measurement Based on the Abbé Principle. Sensors 20 (8) (2020)
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR (2020)
Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS (2020)
Jin-dong Wang, Jiajia Jiang, Fajie Duan, Fumin Zhang, Wei Liu, Xinghua Qu
A Novel Fast Resonance Frequency Tracking Method Based on the Admittance Circle for Ultrasonic Transducers. IEEE Trans. Ind. Electron. 67 (8) (2020)
Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR (2020)
Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys (2020)
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR (2019)
Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen
Memetic Evolution Strategy for Reinforcement Learning. CEC (2019)
Yaqing Hou, N. Jiang, H. Ge, Q. Zhang, Xinghua Qu, L. Feng, Abhishek Gupta
Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. CEC (2019)
Xinghua Qu, Ran Zhang, Bo Liu, Huifeng Li
An improved TLBO based memetic algorithm for aerodynamic shape optimization. Eng. Appl. Artif. Intell. 57 (2017)
Peng Li, Yixin Yang, Xiying Du, Xinghua Qu, Keyang Wang, Bo Liu
Iterated local search for distributed multiple assembly no-wait flowshop scheduling. CEC (2017)
Xiaoyi Feng, Mengchen Ji, Zhengyang Li, Xinghua Qu, Bo Liu
Team effectiveness based optimization. CEC (2017)
Xinghua Qu, Huifeng Li, Ran Zhang, Bo Liu
An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization. CEC (2016)
Xinghua Qu, Bo Liu, Zhengyang Li, Wenzhe Duan, Ran Zhang, Wei Zhang, Huifeng Li
A novel improved teaching-learning based optimization for functional optimization. ICCA (2016)
Wei Feng, Fumin Zhang, Xinghua Qu, Shiwei Zheng
Per-Pixel Coded Exposure for High-Speed and High-Resolution Imaging Using a Digital Micromirror Device Camera. Sensors 16 (3) (2016)
Bailing Liu, Fumin Zhang, Xinghua Qu, Xiaojia Shi
A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence. Sensors 16 (2) (2016)
Bailing Liu, Fumin Zhang, Xinghua Qu
A Method for Improving the Pose Accuracy of a Robot Manipulator Based on Multi-Sensor Combined Measurement and Data Fusion. Sensors 15 (4) (2015)
Zhe Chen, Fumin Zhang, Xinghua Qu, Baoqiu Liang
Fast Measurement and Reconstruction of Large Workpieces with Freeform Surfaces by Combining Local Scanning and Global Position Data. Sensors 15 (6) (2015)
Fumin Zhang, Xinghua Qu, Jianfei Ouyang
An Automated Inner Dimensional Measurement System Based on a Laser Displacement Sensor for Long-Stepped Pipes. Sensors 12 (5) (2012)
Wanli Liu, Xinghua Qu, Jianfei Ouyang
Modeling and simulation of laser tracking systems. Kybernetes 41 (9) (2012)
Wanli Liu, Xinghua Qu, Jianfei Ouyang, Zhankui Wang
Design and CAD-directed inspection planning of laser-guided measuring robot. Comput. Graph. 32 (6) (2008)
Wanli Liu, Jianfei Ouyang, Xinghua Qu, Yonggang Yan
CAD-directed Inspection Planning for Laser Guided Measurement Robot. CAD/Graphics (2007)