Xiaobo Xia

24 papers at tracked venues · 23 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3615-0919 ↗

Venues

NeurIPS ×6 ACL ×5 ICML ×4 AAAI ×3 ICLR ×2 ACM MM ×1 CIKM ×1 CVPR ×1 ICCV ×1

Frequent coauthors

Tongliang Liu

×9

Min Yang

×6

Tat-Seng Chua

×5

Run Luo

×5

Longze Chen

×5

Yunshui Li

×4

Lei Zhang

×4

Shuo Yang

×3

Xiaohao Liu

×3

See-Kiong Ng

×3

Ting-En Lin

×3

Hamid Alinejad-Rokny

×3

Papers

LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
ACL 2026 ·
Shipeng Li
,
Zhiqin Yang
,
Shikun Li
, Xiaobo Xia,
Hengyu Liu
,
Xinghua Zhang
,
Gaode Chen
,
Dong Fang
,
Ying Tai
,
Zhe Peng
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
AAAI 2026 ·
Yuchen Zhou
,
Jiayu Tang
,
Shuo Yang
,
Xiaoyan Xiao
,
Yuqin Dai
,
Wenhao Yang
,
Chao Gou
, Xiaobo Xia,
Tat-Seng Chua
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
ACL 2026 ·
Hao Zheng
,
Zirui Pang
,
Ling Li
,
Zhijie Deng
,
Yuhan Pu
,
Zhaowei Zhu
, Xiaobo Xia,
Jiaheng Wei
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
AAAI 2026 ·
Jiajie Su
,
Zihan Nan
,
Yunshan Ma
, Xiaobo Xia,
Xiaohua Feng
,
Weiming Liu
,
Xiang Chen
,
Xiaolin Zheng
,
Chaochao Chen
SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
ACL 2026 ·
Weijiang Lv
,
Yaoxuan Feng
, Xiaobo Xia,
Jiayu Wang
,
Yan Jing
,
Wenchao Chen
,
Bo Chen
Continual Multimodal Contrastive Learning
NeurIPS 2025 ·
Xiaohao Liu
, Xiaobo Xia,
See-Kiong Ng
,
Tat-Seng Chua
DEEM: Diffusion models serve as the eyes of large language models for image perception
ICLR 2025 ·
Run Luo
,
Yunshui Li
,
Longze Chen
,
Wanwei He
,
Ting-En Lin
,
Ziqiang Liu
,
Lei Zhang
,
Zikai Song
,
Hamid Rokny
, Xiaobo Xia,
Tongliang Liu
,
Binyuan Hui
,
Min Yang
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
ICML 2025 ·
Zhenglin Zhou
, Xiaobo Xia,
Fan Ma
,
Hehe Fan
,
Yi Yang
,
Tat-Seng Chua
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
AAAI 2025 ·
Lei Zhang
,
Yunshui Li
,
Jiaming Li
, Xiaobo Xia,
Jiaxi Yang
,
Run Luo
,
Minzheng Wang
,
Longze Chen
,
Junhao Liu
,
Qiang Qu
,
Min Yang
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
NeurIPS 2025 ·
Xiaohao Liu
, Xiaobo Xia,
Weixiang Zhao
,
Manyi Zhang
,
Xianzhi Yu
,
Xiu Su
,
Shuo Yang
,
See-Kiong Ng
,
Tat-Seng Chua
LaVin-DiT: Large Vision Diffusion Transformer
CVPR 2025 ·
Zhaoqing Wang
, Xiaobo Xia,
Runnan Chen
,
Dongdong Yu
,
Changhu Wang
,
Mingming Gong
,
Tongliang Liu
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
ACL 2025 ·
Run Luo
,
Haonan Zhang
,
Longze Chen
,
Ting-En Lin
,
Xiong Liu
,
Yuchuan Wu
,
Min Yang
,
Yongbin Li
,
Minzheng Wang
,
Pengpeng Zeng
,
Lianli Gao
,
Heng Tao Shen
,
Yunshui Li
,
Hamid Alinejad-Rokny
, Xiaobo Xia,
Jingkuan Song
,
Fei Huang
OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis
NeurIPS 2025 ·
Run Luo
,
Ting-En Lin
,
Haonan Zhang
,
Yuchuan Wu
,
Xiong Liu
,
Yongbin Li
,
Longze Chen
,
Jiaming Li
,
Lei Zhang
, Xiaobo Xia,
Hamid Alinejad-Rokny
,
Fei Huang
,
Min Yang
Towards Modality Generalization: A Benchmark and Prospective Analysis
ACM MM 2025 ·
Xiaohao Liu
, Xiaobo Xia,
Zhuo Huang
,
See-Kiong Ng
,
Tat-Seng Chua
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
NeurIPS 2025 ·
Jiyu Guo
,
Shuo Yang
,
Yiming Huang
,
Yancheng Long
, Xiaobo Xia,
Xiu Su
,
Bo Zhao
,
Zeke Xie
,
Liqiang Nie
VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning
NeurIPS 2025 ·
Run Luo
,
Renke Shan
,
Longze Chen
,
Ziqiang Liu
,
Lu Wang
,
Min Yang
, Xiaobo Xia
Where, What, Why: Towards Explainable Driver Attention Prediction
ICCV 2025 ·
Yuchen Zhou
,
Jiayu Tang
,
Xiaoyan Xiao
,
Yueyao Lin
,
Linkai Liu
,
Zipeng Guo
,
Hao Fei
, Xiaobo Xia,
Chao Gou
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
CIKM 2024 ·
Ling-Hao Chen
,
Yuanshuo Zhang
,
Taohua Huang
,
Liangcai Su
,
Zeyi Lin
,
Xi Xiao
, Xiaobo Xia,
Tongliang Liu
Few-Shot Adversarial Prompt Learning on Vision-Language Models
NeurIPS 2024 ·
Yiwei Zhou
, Xiaobo Xia,
Zhiwei Lin
,
Bo Han
,
Tongliang Liu
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
ICLR 2024 ·
Shaokun Zhang
, Xiaobo Xia,
Zhaoqing Wang
,
Ling-Hao Chen
,
Jiale Liu
,
Qingyun Wu
,
Tongliang Liu
Mitigating Label Noise on Graphs via Topological Sample Selection
ICML 2024 ·
Yuhao Wu
,
Jiangchao Yao
, Xiaobo Xia,
Jun Yu
,
Ruxin Wang
,
Bo Han
,
Tongliang Liu
One-Shot Learning as Instruction Data Prospector for Large Language Models
ACL 2024 ·
Yunshui Li
,
Binyuan Hui
, Xiaobo Xia,
Jiaxi Yang
,
Min Yang
,
Lei Zhang
,
Shuzheng Si
,
Ling-Hao Chen
,
Junhao Liu
,
Tongliang Liu
,
Fei Huang
,
Yongbin Li
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
ICML 2024 · Xiaobo Xia,
Jiale Liu
,
Shaokun Zhang
,
Qingyun Wu
,
Hongxin Wei
,
Tongliang Liu
Towards Realistic Model Selection for Semi-supervised Learning
ICML 2024 ·
Muyang Li
, Xiaobo Xia,
Runze Wu
,
Fengming Huang
,
Jun Yu
,
Bo Han
,
Tongliang Liu