Zhan, Yibing

36 publications

AAAI 2025 AGMixup: Adaptive Graph Mixup for Semi-Supervised Node Classification Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao

AAAI 2025 Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding

ICCV 2025 Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Mian Zou, Nan Zhong, Baosheng Yu, Yibing Zhan, Kede Ma

CVPR 2025 End-to-End HOI Reconstruction Transformer with Graph-Based Encoding Zhenrong Wang, Qi Zheng, Sihan Ma, Maosheng Ye, Yibing Zhan, Dongjiang Li

AAAI 2025 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao

AAAI 2025 Modeling All Response Surfaces in One for Conditional Search Spaces Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao

ICLR 2025 NoVo: Norm Voting Off Hallucinations with Attention Heads in Large Language Models Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

ICML 2024 A Dual-Module Framework for Counterfactual Estimation over Time Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen

ICML 2024 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

IJCAI 2024 Gradformer: Graph Transformer with Exponential Decay Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu

CVPR 2024 Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID Wentan Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao

IJCAI 2024 Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao

IJCAI 2024 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

AAAI 2024 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

ICLR 2024 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

AAAI 2024 TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao

IJCAI 2024 Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu

ICCV 2023 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

IJCAI 2023 Gapformer: Graph Transformer with Graph Pooling for Node Classification Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu

IJCAI 2023 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

CVPR 2023 Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen

CVPR 2023 Token Contrast for Weakly-Supervised Semantic Segmentation Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du

CVPR 2022 Contrastive Boundary Learning for Point Cloud Segmentation Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao

NeurIPS 2022 Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu

CVPR 2022 HL-Net: Heterophily Learning Network for Scene Graph Generation Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao

ECCV 2022 Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt

ICML 2022 Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu

CVPR 2022 Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du

ECCV 2022 Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao

ECML-PKDD 2022 Masked Graph Auto-Encoder Constrained Graph Pooling Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu

NeurIPS 2022 Pluralistic Image Completion with Gaussian Mixture Models Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu

CVPR 2022 RU-Net: Regularized Unrolling Network for Scene Graph Generation Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao

AAAI 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

NeurIPS 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong

AAAI 2021 Deep Graph-Neighbor Coherence Preserving Network for Unsupervised Cross-Modal Hashing Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao

ICCV 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du