Yibing Zhan

Orcid: 0000-0003-3180-0484

According to our database1, Yibing Zhan authored at least 104 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes.
Int. J. Comput. Vis., April, 2024

Few-Shot Learning With Dynamic Graph Structure Preserving.
IEEE Trans. Ind. Informatics, March, 2024

Attentional Composition Networks for Long-Tailed Human Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression.
IEEE Trans. Multim., 2024

Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition.
IEEE Trans. Multim., 2024

Towards Training A Chinese Large Language Model for Anesthesiology.
CoRR, 2024

Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning.
CoRR, 2024

Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond.
CoRR, 2024

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation.
CoRR, 2024

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
CoRR, 2024

Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning.
CoRR, 2024

TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation.
CoRR, 2024

Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph structure reforming framework enhanced by commute time distance for graph classification.
Neural Networks, November, 2023

A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison.
Inf. Fusion, November, 2023

On exploring node-feature and graph-structure diversities for node drop graph pooling.
Neural Networks, October, 2023

KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain.
Knowl. Based Syst., October, 2023

Channel-Correlation-Based Selective Knowledge Distillation.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Region-adaptive Concept Aggregation for Few-shot Visual Recognition.
Mach. Intell. Res., August, 2023

Multi-target Knowledge Distillation via Student Self-reflection.
Int. J. Comput. Vis., July, 2023

Expression snippet transformer for robust video-based facial expression recognition.
Pattern Recognit., June, 2023

Metapath-fused heterogeneous graph network for molecular property prediction.
Inf. Sci., June, 2023

Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments.
J. Frankl. Inst., 2023

Attribute-Image Person Re-identification via Modal-Consistent Metric Learning.
Int. J. Comput. Vis., 2023

Exploring Sparsity in Graph Transformers.
CoRR, 2023

SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification.
CoRR, 2023

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.
CoRR, 2023

Parameter Efficient Multi-task Model Fusion with Partial Linearization.
CoRR, 2023

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation.
CoRR, 2023

Chasing Consistency in Text-to-3D Generation from a Single Image.
CoRR, 2023

Free-Form Composition Networks for Egocentric Action Recognition.
CoRR, 2023

Noise-Resistant Multimodal Transformer for Emotion Recognition.
CoRR, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR, 2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR, 2023

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes.
CoRR, 2023

CLNode: Curriculum Learning for Node Classification.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gapformer: Graph Transformer with Graph Pooling for Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RGD-VNet: Raw, Generative, and Discriminant Views Network for Boosting Postoperative Complication Prediction.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Token Contrast for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pose-disentangled Contrastive Learning for Self-supervised Facial Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing.
IEEE Trans. Image Process., 2022

Divide-and-Conquer Predictor for Unbiased Scene Graph Generation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep relational self-Attention networks for scene graph generation.
Pattern Recognit. Lett., 2022

Multi-level graph learning network for hyperspectral image classification.
Pattern Recognit., 2022

An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection.
Pattern Recognit., 2022

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling.
Int. J. Comput. Vis., 2022

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation.
CoRR, 2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR, 2022

Vega-MT: The JD Explore Academy Translation System for WMT22.
CoRR, 2022

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
CoRR, 2022

CLNode: Curriculum Learning for Node Classification.
CoRR, 2022

Pluralistic Image Completion with Probabilistic Mixture-of-Experts.
CoRR, 2022

BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning.
CoRR, 2022

Exploring High-Order Structure for Robust Graph Structure Learning.
CoRR, 2022

A Review of Affective Generation Models.
CoRR, 2022

Hyper-relationship Learning Network for Scene Graph Generation.
CoRR, 2022

Dual-branch Density Ratio Estimation for Signed Network Embedding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.
Proceedings of the Seventh Conference on Machine Translation, 2022

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Masked Graph Auto-Encoder Constrained Graph Pooling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Pluralistic Image Completion with Gaussian Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving Adversarial Robustness via Mutual Information Estimation.
Proceedings of the International Conference on Machine Learning, 2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Graph Neural Networks for Image Style Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Contrastive Boundary Learning for Point Cloud Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RU-Net: Regularized Unrolling Network for Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HL-Net: Heterophily Learning Network for Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Relative Position Relationship Learning Network for Scene Graph Generation.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.
CoRR, 2021

Comprehensive Linguistic-Visual Composition Network for Image Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Collocation and Try-on Network: Whether an Outfit is Compatible.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Question Answering System for Unstructured Table Images.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multi-task Compositional Network for Visual Relationship Detection.
Int. J. Comput. Vis., 2020

Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing.
CoRR, 2020

Relationship graph learning network for visual relationship detection.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
On Exploring Undetermined Relationships for Visual Relationship Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
No-Reference Image Sharpness Assessment Based on Maximum Gradient and Variability of Gradients.
IEEE Trans. Multim., 2018

Comprehensive Distance-Preserving Autoencoders for Cross-Modal Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Attention-Based Convolutional Neural Network for the Detection of Built-Up Areas in High-Resolution SAR Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A Structural Variation Classification Model for Image Quality Assessment.
IEEE Trans. Multim., 2017

No-Reference JPEG Image Quality Assessment Based on Blockiness and Luminance Change.
IEEE Signal Process. Lett., 2017

2016
A novel structural variation detection strategy for image quality assessment.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A new haze image database with detailed air quality information and a novel no-reference image quality assessment method for haze images.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Image quality assessment based on structure variance classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Image quality assessment using a SVD-based structural projection.
Signal Process. Image Commun., 2014


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