Yuchen Bian

Orcid: 0000-0002-0685-3771

According to our database1, Yuchen Bian authored at least 28 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Interpreting Graph Neural Networks with In-Distributed Proxies.
CoRR, 2024

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Random Walk on Multiple Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

Effects of Digital Transformation on Dynamic Capital Structure Adjustment: Evidence from China.
Syst., July, 2023

Probing the limit of hydrologic predictability with the Transformer network.
CoRR, 2023

2022
Emerging trends: General fine-tuning (gft).
Nat. Lang. Eng., 2022

Data-Driven Adaptive Simultaneous Machine Translation.
CoRR, 2022

Training on Lexical Resources.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

W-CTC: a Connectionist Temporal Classification Loss with Wild Cards.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
On Attention Redundancy: A Comprehensive Study.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Automatic Channel Pruning with Hyper-parameter Search and Dynamic Masking.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SSPF: a Simple and Scalable Parameter Free Clustering Method.
Proceedings of the 2021 International Conference on Data Mining, 2021

Isotropy in the Contextual Embedding Space: Clusters and Manifolds.
Proceedings of the 9th International Conference on Learning Representations, 2021

Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Correction to: Memory-based random walk for multi-query local community detection.
Knowl. Inf. Syst., 2020

Memory-based random walk for multi-query local community detection.
Knowl. Inf. Syst., 2020

Pauses for Detection of Alzheimer's Disease.
Frontiers Comput. Sci., 2020

Attentive Social Recommendation: Towards User And Item Diversities.
CoRR, 2020

Deep Multi-Graph Clustering via Attentive Cross-Graph Association.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Local Community Detection in Multiple Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Rethinking Local Community Detection: Query Nodes Replacement.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
The multi-walker chain and its application in local community detection.
Knowl. Inf. Syst., 2019

Constrained Local Graph Clustering by Colored Random Walk.
Proceedings of the World Wide Web Conference, 2019

2018
Second-order random walk-based proximity measures in graph analysis: formulations and algorithms.
VLDB J., 2018

On Multi-query Local Community Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures.
Proc. VLDB Endow., 2016


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