Xinghua Qu - RankMe

73 papers A* 13A 5B 7Misc 1Journal 41Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. AAAI Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2026	J	`jnl`	FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video Generation. CoRR Weiting Tan, Andy T. Liu, Ming Tu, Xinghua Qu, Philipp Koehn, Lu Lu
2026	J	`jnl`	SwiftDistill: Efficient robust knowledge transfer via dual-branch adversarial distillation and hardness-balanced augmentation. Pattern Recognit. Junhao Dong, Yuqing Wen, Zhengdao Li, Weijun Gao, Zhixuan Zhang, Siheng Wang, Xinghua Qu, Yew-Soon Ong
2025	J	`jnl`	Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. CoRR Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2025	J	`jnl`	Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? CoRR Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu
2025	J	`jnl`	Generative Multi-Form Bayesian Optimization. CoRR Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
2025	A*	`conf`	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
2025	A*	`conf`	LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation. AAAI Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu
2025	J	`jnl`	Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents. CoRR Weiting Tan, Xinghua Qu, Ming Tu, Meng Ge, Andy T. Liu, Philipp Koehn, Lu Lu
2025	—	`conf`	Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. KDD (1) Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong
2025	A*	`conf`	You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs. ICLR Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang
2024	A*	`conf`	Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024	—	`conf`	Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models. CAI Xinghua Qu, Zhu Sun, Shanshan Feng, Caishun Chen, Tian Tian
2024	J	`jnl`	Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. CoRR Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong
2024	B	`conf`	Large Language Models as Evolutionary Optimizers. CEC Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2024	A*	`conf`	Large Language Models for Intent-Driven Session Recommendations. SIGIR Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
2024	J	`jnl`	Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
2023	J	`jnl`	Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
2023	A*	`conf`	AudioQR: Deep Neural Audio Watermarks For QR Code. IJCAI Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma
2023	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2023	J	`jnl`	Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2023	J	`jnl`	Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
2023	J	`jnl`	Large Language Models as Evolutionary Optimizers. CoRR Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2023	J	`jnl`	Large Language Models for Intent-Driven Session Recommendations. CoRR Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong
2023	J	`jnl`	Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning. CoRR Hang Xu, Xinghua Qu, Zinovi Rabinovich
2023	A	`conf`	S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. INTERSPEECH Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma
2023	A*	`conf`	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023	J	`jnl`	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023	J	`jnl`	Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma
2023	A*	`conf`	Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin
2022	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2022	A	`conf`	Dynamic Transfer Gaussian Process Regression. CIKM Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma
2022	J	`jnl`	Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. Xinghua Qu, Yew-Soon Ong, Abhishek Gupta
2022	A*	`conf`	Importance Prioritized Policy Distillation. KDD Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
2022	J	`jnl`	Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb. Sensors Qiong Niu, Mingyu Song, Jihui Zheng, Linhua Jia, Junchen Liu, Lingman Ni, Ju Nian, Xingrui Cheng, Fumin Zhang, Xinghua Qu
2022	Misc	`conf`	Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks. ICASSP Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma
2022	J	`jnl`	Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks. CoRR Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma
2022	A*	`conf`	Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
2022	A*	`conf`	Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2022	A	`conf`	Spiking Pitch Black: Poisoning an Unknown Environment to Attack Unknown Reinforcement Learners. AAMAS Hang Xu, Xinghua Qu, Zinovi Rabinovich
2022	J	`jnl`	Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
2022	A*	`conf`	Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma
2022	J	`jnl`	Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma
2022	J	`jnl`	Vision-based target point tracking and aiming method. Ind. Robot Xiao Bo Liang, Xinghua Qu, YuanJun Zhang, Lianyin Xu, Fumin Zhang
2021	J	`jnl`	A method of locating the 3D centers of retroreflectors based on deep learning. Ind. Robot Binbin Zhang, Fumin Zhang, Xinghua Qu
2021	—	`—`	Adversarial robustness of deep reinforcement learning Xinghua Qu
2021	J	`jnl`	Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei
2021	J	`jnl`	Top-aware recommender distillation with deep reinforcement learning. Inf. Sci. Hongyang Liu, Zhu Sun, Xinghua Qu, Fuyong Yuan
2020	J	`jnl`	A Novel Fast Resonance Frequency Tracking Method Based on the Admittance Circle for Ultrasonic Transducers. IEEE Trans. Ind. Electron. Jin-dong Wang, Jiajia Jiang, Fajie Duan, Fumin Zhang, Wei Liu, Xinghua Qu
2020	B	`conf`	A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. IJCNN Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu
2020	A	`conf`	Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
2020	A	`conf`	Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2020	J	`jnl`	Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
2020	J	`jnl`	Performance Evaluation and Compensation Method of Trigger Probes in Measurement Based on the Abbé Principle. Sensors Guoying Ren, Xinghua Qu, Xiangjun Chen
2020	J	`jnl`	Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
2019	B	`conf`	Memetic Evolution Strategy for Reinforcement Learning. CEC Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen
2019	B	`conf`	Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. CEC Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta
2019	J	`jnl`	Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta
2017	J	`jnl`	An improved TLBO based memetic algorithm for aerodynamic shape optimization. Eng. Appl. Artif. Intell. Xinghua Qu, Ran Zhang, Bo Liu, Huifeng Li
2017	B	`conf`	Iterated local search for distributed multiple assembly no-wait flowshop scheduling. CEC Peng Li, Yixin Yang, Xiying Du, Xinghua Qu, Keyang Wang, Bo Liu
2017	B	`conf`	Team effectiveness based optimization. CEC Xiaoyi Feng, Mengchen Ji, Zhengyang Li, Xinghua Qu, Bo Liu
2016	J	`jnl`	A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence. Sensors Bailing Liu, Fumin Zhang, Xinghua Qu, Xiaojia Shi
2016	—	`conf`	A novel improved teaching-learning based optimization for functional optimization. ICCA Xinghua Qu, Bo Liu, Zhengyang Li, Wenzhe Duan, Ran Zhang, Wei Zhang, Huifeng Li
2016	B	`conf`	An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization. CEC Xinghua Qu, Huifeng Li, Ran Zhang, Bo Liu
2016	J	`jnl`	Per-Pixel Coded Exposure for High-Speed and High-Resolution Imaging Using a Digital Micromirror Device Camera. Sensors Wei Feng, Fumin Zhang, Xinghua Qu, Shiwei Zheng
2015	J	`jnl`	A Method for Improving the Pose Accuracy of a Robot Manipulator Based on Multi-Sensor Combined Measurement and Data Fusion. Sensors Bailing Liu, Fumin Zhang, Xinghua Qu
2015	J	`jnl`	Fast Measurement and Reconstruction of Large Workpieces with Freeform Surfaces by Combining Local Scanning and Global Position Data. Sensors Zhe Chen, Fumin Zhang, Xinghua Qu, Baoqiu Liang
2012	J	`jnl`	An Automated Inner Dimensional Measurement System Based on a Laser Displacement Sensor for Long-Stepped Pipes. Sensors Fumin Zhang, Xinghua Qu, Jianfei Ouyang
2012	J	`jnl`	Modeling and simulation of laser tracking systems. Kybernetes Wanli Liu, Xinghua Qu, Jianfei Ouyang
2008	J	`jnl`	Design and CAD-directed inspection planning of laser-guided measuring robot. Comput. Graph. Wanli Liu, Xinghua Qu, Jianfei Ouyang, Zhankui Wang
2007	—	`conf`	CAD-directed Inspection Planning for Laser Guided Measurement Robot. CAD/Graphics Wanli Liu, Jianfei Ouyang, Xinghua Qu, Yonggang Yan
2007	J	`jnl`	Improved SFS 3D measurement based on BP neural network. Image Vis. Comput. Limei Song, Xinghua Qu, Shenghua Ye
2002	—	`conf`	Neural network and genetic algorithm technology in data mining of manufacturing quality information. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Limei Song, Xinghua Qu, Shenghua Ye