| 2026 | AAAI | 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 |
| 2025 | AAAI | LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation. | Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness. | Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | KDD | Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. | Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong |
| 2024 | CEC | Large Language Models as Evolutionary Optimizers. | Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong |
| 2024 | SIGIR | 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 |
| 2024 | SIGIR | Large Language Models for Intent-Driven Session Recommendations. | Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong |
| 2023 | IJCAI | AudioQR: Deep Neural Audio Watermarks For QR Code. | Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma |
| 2023 | Interspeech | 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 |
| 2023 | SIGIR | 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 |
| 2022 | CIKM | Dynamic Transfer Gaussian Process Regression. | Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma |
| 2022 | ICASSP | Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks. | Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma |
| 2022 | IJCAI | Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. | Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu |
| 2022 | KDD | Importance Prioritized Policy Distillation. | Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma |
| 2022 | KDD | Synthesising Audio Adversarial Examples for Automatic Speech Recognition. | Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma |
| 2022 | SIGIR | 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 |
| 2020 | IJCNN | 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 |
| 2020 | RecSys | 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 |
| 2019 | CEC | Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. | Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta |
| 2019 | CEC | Memetic Evolution Strategy for Reinforcement Learning. | Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen |
| 2017 | CEC | Team effectiveness based optimization. | Xiaoyi Feng, Mengchen Ji, Zhengyang Li, Xinghua Qu, Bo Liu |
| 2017 | CEC | Iterated local search for distributed multiple assembly no-wait flowshop scheduling. | Peng Li, Yixin Yang, Xiying Du, Xinghua Qu, Keyang Wang, Bo Liu |
| 2016 | CEC | An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization. | Xinghua Qu, Huifeng Li, Ran Zhang, Bo Liu |