← Authors

Yibing Zhan

42 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (74) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ’Ž Century Club (40) πŸ—ƒοΈ Keyword Collector (171) πŸ”₯ Unstoppable (5)

Conferences

AAAI (10) CVPR (9) IJCAI (6) ICCV (3) ICML (3) NIPS (3) ECCV (2) EMNLP (2) ICLR (2) ACL (1) COLING (1)

Top co-authors

Dacheng Tao (19) Baosheng Yu (8) Dapeng Tao (7) Bo Du (7) Liang Ding (5) Tongliang Liu (5) Chuang Liu (5) Yong Luo (4) Wenbin Hu (4) Changxing Ding (4)

Keywords

graph neural network (9) attention mechanism (4) scene graph generation (4) large language model (4) contrastive learning (4) self-supervised learning (3) node classification (3) semantic segmentation (3) graph pooling (2) graph transformer (2) relationship prediction (2) message passing (2) image generation (2) multimodal large language model (2) semi-supervised learning (2) adversarial attack (2) transfer learning (2) object detection (2) logical reasoning (2) knowledge distillation (2)

Papers

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models ICLR 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
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution AAAI 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification AAAI 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025
TDΒ²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation AAAI 2024
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models AAAI 2024
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID CVPR 2024
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024
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
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models IJCAI 2024
Gradformer: Graph Transformer with Exponential Decay IJCAI 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders IJCAI 2024
Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024
Gapformer: Graph Transformer with Graph Pooling for Node Classification IJCAI 2023
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023
Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation CVPR 2023
Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022
Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers CVPR 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022
HL-Net: Heterophily Learning Network for Scene Graph Generation CVPR 2022
Contrastive Boundary Learning for Point Cloud Segmentation CVPR 2022
Learning Graph Neural Networks for Image Style Transfer ECCV 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection ECCV 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022
Improving Adversarial Robustness via Mutual Information Estimation ICML 2022
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning NIPS 2022
Pluralistic Image Completion with Gaussian Mixture Models NIPS 2022
RU-Net: Regularized Unrolling Network for Scene Graph Generation CVPR 2022
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing AAAI 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NIPS 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