Yunhai Tong

Orcid: 0000-0001-8735-2516

According to our database1, Yunhai Tong authored at least 88 papers between 2003 and 2024.

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Bibliography

2024
Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow.
Int. J. Comput. Vis., February, 2024

Toward Robust Referring Image Segmentation.
IEEE Trans. Image Process., 2024

Explore In-Context Segmentation via Latent Diffusion Models.
CoRR, 2024

RAP-SAM: Towards Real-Time All-Purpose Segment Anything.
CoRR, 2024

Towards Language-Driven Video Inpainting via Multimodal Large Language Models.
CoRR, 2024

2023
Convolution-Enhanced Evolving Attention Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Improving Video Instance Segmentation via Temporal Pyramid Routing.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection.
CoRR, 2023

Towards Open Vocabulary Learning: A Survey.
CoRR, 2023

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
CoRR, 2023

Multiple Connectivity Views for Session-based Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Label-Efficient Interactive Time-Series Anomaly Detection.
CoRR, 2022

Towards Robust Referring Image Segmentation.
CoRR, 2022

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow.
CoRR, 2022

Multi-Task Learning with Multi-query Transformer for Dense Prediction.
CoRR, 2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Query Learning of Both Thing and Stuff for Panoptic Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection.
Proceedings of the Conference on Lifelong Learning Agents, 2022

TS2Vec: Towards Universal Representation of Time Series.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Graph Pointer Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Global Aggregation Then Local Distribution for Scene Parsing.
IEEE Trans. Image Process., 2021

Towards Efficient Scene Understanding via Squeeze Reasoning.
IEEE Trans. Image Process., 2021

Improving Video Instance Segmentation via Temporal Pyramid Routing.
CoRR, 2021

BoundarySqueeze: Image Segmentation as Boundary Squeezing.
CoRR, 2021

Improving BERT With Self-Supervised Attention.
IEEE Access, 2021

End-to-End Video Object Detection with Spatial-Temporal Transformers.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Evolving Attention with Residual Convolutions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Dynamic Dual Sampling Module For Fine-Grained Semantic Segmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Enhanced Boundary Learning for Glass-like Object Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Competence-based Curriculum Learning for Multilingual Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Improving BERT with Self-Supervised Attention.
CoRR, 2020

Semantic Flow for Fast and Accurate Scene Parsing.
CoRR, 2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multivariate Time-series Anomaly Detection via Graph Attention Network.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Semantic Flow for Fast and Accurate Scene Parsing.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Semantic Segmentation via Decoupled Body and Edge Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Boundary Content Graph Neural Network for Temporal Action Proposal Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

AutoADR: Automatic Model Design for Ad Relevance.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Spherical Criteria for Fast and Accurate 360° Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

TextNAS: A Neural Architecture Search Space Tailored for Text Representation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Gated Fully Fusion for Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Three-Fast-Inter Incremental Association Markov Blanket learning algorithm.
Pattern Recognit. Lett., 2019

Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application.
CoRR, 2019

Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images.
CoRR, 2019

GFF: Gated Fully Fusion for Semantic Segmentation.
CoRR, 2019

Flow2Seg: Motion-Aided Semantic Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Dual Graph Convolutional Network for Semantic Segmentation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Global Aggregation then Local Distribution in Fully Convolutional Networks.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2017
GVoS: A General System for Near-Duplicate Video-Related Applications on Storm.
ACM Trans. Inf. Syst., 2017

Fast Parallel Path Concatenation for Graph Extraction.
IEEE Trans. Knowl. Data Eng., 2017

NetRating: Credit Risk Evaluation for Loan Guarantee Chain in China.
Proceedings of the Intelligence and Security Informatics - 12th Pacific Asia Workshop, 2017

A Structural Based Community Similarity Algorithm and Its Application in Scientific Event Detection.
Proceedings of the Intelligence and Security Informatics - 12th Pacific Asia Workshop, 2017

StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data.
Proceedings of the 2016 International Conference on Management of Data, 2016

Correlating Twitter with the stock market through non-Gaussian SVAR.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Multi-view clustering with exemplars for scientific mapping.
Scientometrics, 2015

2014
Efficient and effective Bayesian network local structure learning.
Frontiers Comput. Sci., 2014

Causal inference from financial factors: Continuous variable based local structure learning algorithm.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2011
Representing document as dependency graph for document clustering.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2008
Protecting the Publishing Identity in Multiple Tuples.
Proceedings of the Data and Applications Security XXII, 2008

T-rotation: Multiple Publications of Privacy Preserving Data Sequence.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
An Adaptive Approach to Schema Classification for Data Warehouse Modeling.
J. Comput. Sci. Technol., 2007

2006
An approach for identifying attribute correspondences in multilingual schemas.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Privacy-preserving OLAP based on output perturbation across multiple sites.
Proceedings of the 2006 International Conference on Privacy, 2006

KD<sup>3</sup> Scheme for Privacy Preserving Data Mining.
Proceedings of the Intelligence and Security Informatics, 2006

File Correspondences Dictionary Construction in Multilingual P2P File Sharing Systems.
Proceedings of the Emerging Directions in Embedded and Ubiquitous Computing, 2006

Triple-driven data modeling methodology in data warehousing: a case study.
Proceedings of the DOLAP 2006, 2006

Identifying Indirect Attribute Correspondences in Multilingual Schemas.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

A FP-Tree-Based Method for Inverse Frequent Set Mining.
Proceedings of the Flexible and Efficient Information Handling, 2006

2005
Mining Association Rules from Distorted Data for Privacy Preservation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Privacy Preserving Naive Bayes Classification.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Efficient Incremental Maintenance of Frequent Patterns with FP-Tree.
J. Comput. Sci. Technol., 2004

IECS: An Integrated E-Community System for Management, Decision and Service.
Proceedings of the Conceptual Modeling for Advanced Application Domains, 2004

2003
CyberETL: Towards Visual Debugging Transformations in Data Integration.
Proceedings of the Advances in Web-Age Information Management, 2003


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