Yibing Zhan

Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026 ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026 AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification AAAI 2025 Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution AAAI 2025 Bi-Level Optimization for Self-Supervised AI-Generated Face Detection ICCV 2025 End-to-End HOI Reconstruction Transformer with Graph-based Encoding CVPR 2025 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025 Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models ICLR 2025 A Dual-module Framework for Counterfactual Estimation over Time ICML 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 Gradformer: Graph Transformer with Exponential Decay IJCAI 2024 Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID CVPR 2024 Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024 MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models IJCAI 2024 Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models AAAI 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024 TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation AAAI 2024 Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders IJCAI 2024 Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023 Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023 Gapformer: Graph Transformer with Graph Pooling for Node Classification IJCAI 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation CVPR 2023 Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023 Contrastive Boundary Learning for Point Cloud Segmentation CVPR 2022 Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning NeurIPS 2022 Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection ECCV 2022 HL-Net: Heterophily Learning Network for Scene Graph Generation CVPR 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers CVPR 2022 Learning Graph Neural Networks for Image Style Transfer ECCV 2022 Pluralistic Image Completion with Gaussian Mixture Models NeurIPS 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022 RU-Net: Regularized Unrolling Network for Scene Graph Generation CVPR 2022 TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022 Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing AAAI 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search ICCV 2021 On Exploring Undetermined Relationships for Visual Relationship Detection CVPR 2019