Yibo Yan

Orcid: 0009-0006-2546-1403

According to our database1, Yibo Yan authored at least 28 papers between 2017 and 2025.

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

Timeline

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Links

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Bibliography

2025
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
Inf. Fusion, 2025

2024
Improving Needle Tip Tracking and Detection in Ultrasound-Based Navigation System Using Deep Learning-Enabled Approach.
IEEE J. Biomed. Health Informatics, May, 2024

MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models.
CoRR, 2024

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.
CoRR, 2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
CoRR, 2024

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.
CoRR, 2024

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.
CoRR, 2024

Learning Geospatial Region Embedding with Heterogeneous Graph.
CoRR, 2024

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.
CoRR, 2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR, 2024

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.
Proceedings of the ACM on Web Conference 2024, 2024

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing.
J. Mach. Learn. Res., 2023

When Urban Region Profiling Meets Large Language Models.
CoRR, 2023

GitHub OSS Governance File Dataset.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022
Open Source Software Sustainability: Combining Institutional Analysis and Socio-Technical Networks.
Proc. ACM Hum. Comput. Interact., 2022

2020
SF-Sketch: A Two-Stage Sketch for Data Streams.
IEEE Trans. Parallel Distributed Syst., 2020

Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series.
Remote. Sens., 2020

Priority-Aware Per-flow Measurement using Cuckoo Sketch.
Proceedings of the 2020 IFIP Networking Conference, 2020

2019
Longest Prefix Matching with Pruning.
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019

Shifting Hash Table: An Efficient Hash Table with Delicate Summary.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
Single Hash: Use One Hash Function to Build Faster Hash Based Data Structures.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
SF-sketch: slim-fat-sketch with GPU assistance.
CoRR, 2017

SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017


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