| 2026 | AAAI | Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction. | Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu |
| 2026 | AAAI | ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao |
| 2025 | AAAI | Modeling All Response Surfaces in One for Conditional Search Spaces. | Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao |
| 2025 | AAAI | AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao |
| 2025 | AAAI | Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. | Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding |
| 2025 | AAAI | Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. | Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao |
| 2025 | APWEB | MIMIC-RxBench: Benchmarking Large Language Models for Prescription Error Classification. | Shuanglin Zu, Yanhong Li, Yibing Zhan, Dapeng Tao |
| 2025 | COLING | Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. | Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong |
| 2025 | CVPR | End-to-End HOI Reconstruction Transformer with Graph-based Encoding. | Zhenrong Wang, Qi Zheng, Sihan Ma, Maosheng Ye, Yibing Zhan, Dongjiang Li |
| 2025 | ICASSP | Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. | Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma |
| 2025 | ICCV | Bi-Level Optimization for Self-Supervised AI-Generated Face Detection. | Mian Zou, Nan Zhong, Baosheng Yu, Yibing Zhan, Kede Ma |
| 2025 | ICDE | SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). | Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao |
| 2025 | ICLR | NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. | Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao |
| 2024 | AAAI | TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. | Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao |
| 2024 | AAAI | Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. | Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao |
| 2024 | CVPR | Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID. | Wentao Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao |
| 2024 | ICLR | Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. | Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao |
| 2024 | ICML | A Dual-module Framework for Counterfactual Estimation over Time. | Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen |
| 2024 | ICML | Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. | Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao |
| 2024 | IJCAI | Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. | Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2024 | IJCAI | Gradformer: Graph Transformer with Exponential Decay. | Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu |
| 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 | IJCAI | Joint Input and Output Coordination for Class-Incremental Learning. | Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao |
| 2023 | ACL | Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. | Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo |
| 2023 | CVPR | Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. | Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen |
| 2023 | CVPR | Token Contrast for Weakly-Supervised Semantic Segmentation. | Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du |
| 2023 | ICCV | Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. | Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu |
| 2023 | IJCAI | Gapformer: Graph Transformer with Graph Pooling for Node Classification. | Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2023 | IJCAI | Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. | Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao |
| 2023 | WSDM | CLNode: Curriculum Learning for Node Classification. | Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu |
| 2022 | AAAI | Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. | Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du |
| 2022 | CVPR | HL-Net: Heterophily Learning Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao |
| 2022 | CVPR | RU-Net: Regularized Unrolling Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao |
| 2022 | CVPR | Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. | Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du |
| 2022 | CVPR | Contrastive Boundary Learning for Point Cloud Segmentation. | Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao |
| 2022 | ECCV | Learning Graph Neural Networks for Image Style Transfer. | Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao |
| 2022 | ECCV | Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. | Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt |
| 2022 | EMNLP | TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. | Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao |
| 2022 | ICML | Improving Adversarial Robustness via Mutual Information Estimation. | Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu |
| 2022 | MMSP | Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. | Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao |
| 2022 | WWW | Dual-branch Density Ratio Estimation for Signed Network Embedding. | Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu |
| 2022 | SIGIR | Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. | Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao |
| 2021 | AAAI | Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. | Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao |
| 2021 | ICCV | Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. | Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du |
| 2021 | SIGIR | Comprehensive Linguistic-Visual Composition Network for Image Retrieval. | Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie |
| 2020 | ICIP | Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval. | Xueying Chen, Rong Zhang, Yibing Zhan |
| 2019 | CVPR | On Exploring Undetermined Relationships for Visual Relationship Detection. | Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao |
| 2018 | IGARSS | Attention-Based Convolutional Neural Network for the Detection of Built-Up Areas in High-Resolution SAR Images. | Yunfei Wu, Rong Zhang, Yibing Zhan |
| 2016 | ICASSP | A new haze image database with detailed air quality information and a novel no-reference image quality assessment method for haze images. | Yibing Zhan, Rong Zhang, Qian Wu, You Wu |
| 2016 | ICIP | A novel structural variation detection strategy for image quality assessment. | Yibing Zhan, Rong Zhang |
| 2015 | ICASSP | Image quality assessment based on structure variance classification. | Yibing Zhan, Rong Zhang |