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Xinghua Qu
11 papers at tracked venues · 11 at CORE A* · active 2024–2026
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Venues
AAAI
×2
ICCV
×2
NeurIPS
×2
SIGIR
×2
ICLR
×1
ICML
×1
SIGKDD
×1
Frequent coauthors
Yew Soon Ong
×8
Junhao Dong
×6
Piotr Koniusz
×5
Zhu Sun
×4
Yan Wang
×3
Yifei Zhang
×3
Hao Zhu
×3
Hongyang Liu
×2
Weiming Liu
×2
Kaidong Feng
×2
Tianjun Wei
×1
Jiajie Zhu
×1
Papers
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
BibTeX ⧉
AAAI 2026
·
Hongyang Liu
,
Zhu Sun
,
Tianjun Wei
,
Yan Wang
,
Jiajie Zhu
,
Xinghua Qu
Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
BibTeX ⧉
ICCV 2025
·
Junhao Dong
,
Jiao Liu
,
Xinghua Qu
,
Yew-Soon Ong
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
BibTeX ⧉
ICML 2025
·
Junhao Dong
,
Piotr Koniusz
,
Yifei Zhang
,
Hao Zhu
,
Weiming Liu
,
Xinghua Qu
,
Yew-Soon Ong
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
BibTeX ⧉
AAAI 2025
·
Yatong Sun
,
Xiaochun Yang
,
Zhu Sun
,
Yan Wang
,
Bin Wang
,
Xinghua Qu
Machine Unlearning via Task Simplex Arithmetic
BibTeX ⧉
NeurIPS 2025
·
Junhao Dong
,
Hao Zhu
,
Yifei Zhang
,
Xinghua Qu
,
Yew Soon Ong
,
Piotr Koniusz
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
BibTeX ⧉
NeurIPS 2025
·
Junhao Dong
,
Cong Zhang
,
Xinghua Qu
,
Zejun Ma
,
Piotr Koniusz
,
Yew Soon Ong
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
BibTeX ⧉
ICCV 2025
·
Junhao Dong
,
Piotr Koniusz
,
Liaoyuan Feng
,
Yifei Zhang
,
Hao Zhu
,
Weiming Liu
,
Xinghua Qu
,
Yew-Soon Ong
Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs
BibTeX ⧉
SIGKDD 2025
·
Junhao Dong
,
Piotr Koniusz
,
Xinghua Qu
,
Yew-Soon Ong
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
BibTeX ⧉
ICLR 2025
·
Yihong Luo
,
Xiaolong Chen
,
Xinghua Qu
,
Tianyang Hu
,
Jing Tang
Adaptive In-Context Learning with Large Language Models for Bundle Generation
BibTeX ⧉
SIGIR 2024
·
Zhu Sun
,
Kaidong Feng
,
Jie Yang
,
Xinghua Qu
,
Hui Fang
,
Yew-Soon Ong
,
Wenyuan Liu
Large Language Models for Intent-Driven Session Recommendations
BibTeX ⧉
SIGIR 2024
·
Zhu Sun
,
Hongyang Liu
,
Xinghua Qu
,
Kaidong Feng
,
Yan Wang
,
Yew Soon Ong