Xinghua Qu

According to our database, Xinghua Qu authored at least 67 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Does Knowledge Distillation Matter for Large Language Model-Based Bundle Generation?

Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu

ACM Trans. Inf. Syst., May, 2026

FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video Generation.

Weiting Tan, Andy T. Liu, Ming Tu, Xinghua Qu, Philipp Koehn, Lu Lu

CoRR, March, 2026

SwiftDistill: Efficient robust knowledge transfer via dual-branch adversarial distillation and hardness-balanced augmentation.

Junhao Dong, Yuqing Wen, Zhengdao Li, Weijun Gao, Zhixuan Zhang, Siheng Wang, Xinghua Qu, Yew-Soon Ong

Pattern Recognit., 2026

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation.

Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents.

Weiting Tan, Xinghua Qu, Ming Tu, Meng Ge, Andy T. Liu, Philipp Koehn, Lu Lu

CoRR, September, 2025

Generative Multi-Form Bayesian Optimization.

Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng

CoRR, January, 2025

Machine Unlearning via Task Simplex Arithmetic.

Junhao Dong, Hao Zhu, Yifei Zhang, Xinghua Qu, Yew Soon Ong, Piotr Koniusz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs.

Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices.

Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs.

Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness.

Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Robustifying Zero-Shot Vision Language Models by Subspaces Alignment.

Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation.

Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Revisiting Bundle Recommendation for Intent-aware Product Bundling.

Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu

Trans. Recomm. Syst., September, 2024

Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training.

Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong

CoRR, 2024

Large Language Models for Intent-Driven Session Recommendations.

Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Adaptive In-Context Learning with Large Language Models for Bundle Generation.

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models.

Xinghua Qu, Zhu Sun, Shanshan Feng, Caishun Chen, Tian Tian

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Large Language Models as Evolutionary Optimizers.

Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Adversary Agnostic Robust Deep Reinforcement Learning.

Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun

IEEE Trans. Neural Networks Learn. Syst., September, 2023

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.

Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression.

Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Generative Multiform Bayesian Optimization.

Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng

IEEE Trans. Cybern., 2023

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

CoRR, 2023

Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning.

Hang Xu, Xinghua Qu, Zinovi Rabinovich

CoRR, 2023

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects.

Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion.

Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

AudioQR: Deep Neural Audio Watermarks For QR Code.

Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Subdomain Adaptation With Manifolds Discrepancy Alignment.

Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong

IEEE Trans. Cybern., 2022

Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies.

Xinghua Qu, Yew-Soon Ong, Abhishek Gupta

IEEE Trans. Cybern., 2022

Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb.

Qiong Niu, Mingyu Song, Jihui Zheng, Linhua Jia, Junchen Liu, Lingman Ni, Ju Nian, Xingrui Cheng, Fumin Zhang, Xinghua Qu

Sensors, 2022

Vision-based target point tracking and aiming method.

Xiao Bo Liang, Xinghua Qu, YuanJun Zhang, Lianyin Xu, Fumin Zhang

Ind. Robot, 2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma

CoRR, 2022

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.

Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Synthesising Audio Adversarial Examples for Automatic Speech Recognition.

Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Importance Prioritized Policy Distillation.

Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences.

Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks.

Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma

Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Transfer Gaussian Process Regression.

Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spiking Pitch Black: Poisoning an Unknown Environment to Attack Unknown Reinforcement Learners.

Hang Xu, Xinghua Qu, Zinovi Rabinovich

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Adversarial robustness of deep reinforcement learning

Xinghua Qu

PhD thesis, 2021

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.

Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei

IEEE Trans. Cogn. Dev. Syst., 2021

Top-aware recommender distillation with deep reinforcement learning.

Hongyang Liu, Zhu Sun, Xinghua Qu, Fuyong Yuan

Inf. Sci., 2021

A method of locating the 3D centers of retroreflectors based on deep learning.

Binbin Zhang, Fumin Zhang, Xinghua Qu

Ind. Robot, 2021

2020

A Novel Fast Resonance Frequency Tracking Method Based on the Admittance Circle for Ultrasonic Transducers.

Jin-dong Wang, Jiajia Jiang, Fajie Duan, Fumin Zhang, Wei Liu, Xinghua Qu

IEEE Trans. Ind. Electron., 2020

Performance Evaluation and Compensation Method of Trigger Probes in Measurement Based on the Abbé Principle.

Guoying Ren, Xinghua Qu, Xiangjun Chen

Sensors, 2020

Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.

Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun

CoRR, 2020

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.

Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling.

Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.

Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.

Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta

CoRR, 2019

Memetic Evolution Strategy for Reinforcement Learning.

Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memetic Multi-agent Optimization in High Dimensions using Random Embeddings.

Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2017

An improved TLBO based memetic algorithm for aerodynamic shape optimization.

Xinghua Qu, Ran Zhang, Bo Liu, Huifeng Li

Eng. Appl. Artif. Intell., 2017

Iterated local search for distributed multiple assembly no-wait flowshop scheduling.

Peng Li, Yixin Yang, Xiying Du, Xinghua Qu, Keyang Wang, Bo Liu

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Team effectiveness based optimization.

Xiaoyi Feng, Mengchen Ji, Zhengyang Li, Xinghua Qu, Bo Liu

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence.

Bailing Liu, Fumin Zhang, Xinghua Qu, Xiaojia Shi

Sensors, 2016

Per-Pixel Coded Exposure for High-Speed and High-Resolution Imaging Using a Digital Micromirror Device Camera.

Wei Feng, Fumin Zhang, Xinghua Qu, Shiwei Zheng

Sensors, 2016

A novel improved teaching-learning based optimization for functional optimization.

Xinghua Qu, Bo Liu, Zhengyang Li, Wenzhe Duan, Ran Zhang, Wei Zhang, Huifeng Li

Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization.

Xinghua Qu, Huifeng Li, Ran Zhang, Bo Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A Method for Improving the Pose Accuracy of a Robot Manipulator Based on Multi-Sensor Combined Measurement and Data Fusion.

Bailing Liu, Fumin Zhang, Xinghua Qu

Sensors, 2015

Fast Measurement and Reconstruction of Large Workpieces with Freeform Surfaces by Combining Local Scanning and Global Position Data.

Zhe Chen, Fumin Zhang, Xinghua Qu, Baoqiu Liang

Sensors, 2015

2012

An Automated Inner Dimensional Measurement System Based on a Laser Displacement Sensor for Long-Stepped Pipes.

Fumin Zhang, Xinghua Qu, Jianfei Ouyang

Sensors, 2012

Modeling and simulation of laser tracking systems.

Wanli Liu, Xinghua Qu, Jianfei Ouyang

Kybernetes, 2012

2008

Design and CAD-directed inspection planning of laser-guided measuring robot.

Wanli Liu, Xinghua Qu, Jianfei Ouyang, Zhankui Wang

Comput. Graph., 2008

2007

CAD-directed Inspection Planning for Laser Guided Measurement Robot.

Wanli Liu, Jianfei Ouyang, Xinghua Qu, Yonggang Yan

Proceedings of the 10th International Conference on Computer-Aided Design and Computer Graphics, 2007