| 2026 | AAAI | SynerDetect: Hierarchical Synergistic Learning for Generalizable AI-Generated Image Detection. | Shuaibo Li, Yijun Yang, Zhaohu Xing, Hongqiu Wang, Pengfei Hao, Xingyu Li, Zekai Liu, Qing Zhang, Lei Zhu |
| 2026 | AAAI | Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models. | Yijun Yang, Lichao Wang, Jianping Zhang, Chi Harold Liu, Lanqing Hong, Qiang Xu |
| 2026 | WWW | Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data. | Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi |
| 2025 | ACL | Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data. | Xin-Cheng Wen, Yijun Yang, Cuiyun Gao, Yang Xiao, Deheng Ye |
| 2025 | CVPR | Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine. | Zhaohu Xing, Lihao Liu, Yijun Yang, Hongqiu Wang, Tian Ye, Sixiang Chen, Wenxue Li, Guang Liu, Lei Zhu |
| 2025 | ICCV | Genhaze: Pioneering Controllable One-Step Realistic Haze Generation for Real-World Dehazing. | Sixiang Chen, Tian Ye, Yunlong Lin, Yeying Jin, Yijun Yang, Haoyu Chen, Jianyu Lai, Song Fei, Zhaohu Xing, Fugee Tsung, Lei Zhu |
| 2025 | ICCV | CECT-Mamba: A Hierarchical Contrast-Enhanced-Aware Model for Pancreatic Tumor Subtyping from Multi-Phase CECT. | Zhifang Gong, Shuo Gao, Ben Zhao, Yingjing Xu, Yijun Yang, Shenghong Ju, Guangquan Zhou |
| 2025 | ICCV | Autoregressive-Conditioned Diffusion for Semi-Supervised Thyroid Ultrasound Segmentation with Optical Flow-Based Pseudo Labels. | Xiaorui Liu, Yijun Yang, Yingjing Xu, Lei Zhu |
| 2025 | ICCV | GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training. | Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye |
| 2025 | ICCV | Medical World Model. | Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen |
| 2025 | ICLR | From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle. | Kaustubh Vyas, Damien Graux, Yijun Yang, Sbastien Montella, Chenxin Diao, Wendi Zhou, Pavlos Vougiouklis, Ruofei Lai, Yang Ren, Keshuang Li, Jeff Z. Pan |
| 2025 | MICCAI | HRVVS: A High-Resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors. | Xincheng Yao, Yijun Yang, Kangwei Guo, Ruiqiang Xiao, Haipeng Zhou, Haisu Tao, Jian Yang, Lei Zhu |
| 2025 | NAACL | Evaluating and Improving Graph to Text Generation with Large Language Models. | Jie He, Yijun Yang, Wanqiu Long, Deyi Xiong, Vctor Gutirrez-Basulto, Jeff Z. Pan |
| 2024 | COLING | EEE-QA: Exploring Effective and Efficient Question-Answer Representations. | Zhanghao Hu, Yijun Yang, Junjie Xu, Yifu Qiu, Pinzhen Chen |
| 2024 | CVPR | Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance. | Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang |
| 2024 | CVPR | Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. | Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi |
| 2024 | CVPR | MMA-Diffusion: MultiModal Attack on Diffusion Models. | Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu |
| 2024 | CVPR | Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. | Yijun Yang, Hongtao Wu, Angelica I. Avils-Rivero, Yulun Zhang, Jing Qin, Lei Zhu |
| 2024 | ECCV | Semi-supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization. | Hongtao Wu, Yijun Yang, Angelica I. Avils-Rivero, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu |
| 2024 | ICML | Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning. | Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho |
| 2024 | IJCAI | MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. | Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He |
| 2024 | MICCAI | Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning. | Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, Lei Zhu |
| 2024 | MICCAI | Cross-conditioned Diffusion Model for Medical Image to Image Translation. | Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu |
| 2024 | MICCAI | SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation. | Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu |
| 2024 | MICCAI | LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. | Huihui Xu, Yijun Yang, Angelica I. Avils-Rivero, Guang Yang, Jing Qin, Lei Zhu |
| 2024 | NAACL | UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing. | Yijun Yang, Jie He, Pinzhen Chen, Vctor Gutirrez-Basulto, Jeff Z. Pan |
| 2024 | PRICAI | Distributed Population-Based Simultaneous Perturbation Stochastic Approximation for Fine-Tuning Large Language Models. | Yajing Tan, Yuwei Huang, Qiqi Duan, Yijun Yang, Yuhui Shi |
| 2023 | ICCV | Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. | Yijun Yang, Angelica I. Avils-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu |
| 2023 | ICML | Continual Task Allocation in Meta-Policy Network via Sparse Prompting. | Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi |
| 2023 | MICCAI | DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. | Yijun Yang, Huazhu Fu, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb, Lei Zhu |
| 2022 | ECCV | Out-of-Distribution Detection with Semantic Mismatch Under Masking. | Yijun Yang, Ruiyuan Gao, Qiang Xu |
| 2022 | GECCO | Distributed evolution strategies for large-scale optimization. | Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang, Yuhui Shi |
| 2022 | ICLR | Pareto Policy Pool for Model-based Offline Reinforcement Learning. | Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi |
| 2022 | NDSS | What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. | Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu |
| 2022 | PPSN | Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization. | Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang, Yuhui Shi |
| 2017 | GLOBECOM | Security Enhancement for Multiple Multi-Antenna Relaying Networks. | Yijun Yang, Jinlong Wang, Yuzhen Huang, Jin Chen, Yutao Jiao |