Junlong Liu

According to our database1, Junlong Liu authored at least 14 papers between 2016 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings.
CoRR, 2024

2023
Self-Learning Symmetric Multi-view Probabilistic Clustering.
CoRR, 2023

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MPC: Multi-view Probabilistic Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Gear Shifting Control of a Novel Power-Cycling Variable Transmission.
IEEE Trans. Veh. Technol., 2021

2019
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning.
CoRR, 2019

Regression via Arbitrary Quantile Modeling.
CoRR, 2019

CP-MCNN: Multi-label Chest X-ray Diagnostic Based on Confidence Predictor and CNN.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2019

2017
Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN.
CoRR, 2016

A trajectory-based approach for object detection from video.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Faster Decision Tree Induction with Impurity-Based Heuristic Schema.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016


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