Tzu-Hsuan Yang

According to our database1, Tzu-Hsuan Yang authored at least 13 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
Cameras as Rays: Pose Estimation via Ray Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023

2021
Saw It or Triggered It: Exploring the Threshold of Implicit and Explicit Interaction for Eye-tracking Technique in Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

2020
HEY!: Exploring Virtual Character Interaction for Immersive Storytelling via Electroencephalography.
Proceedings of the SIGGRAPH Asia 2020 Posters, 2020

2019
Using heuristic and iterative greedy algorithms for the total weighted completion time order scheduling with release times.
Swarm Evol. Comput., 2019

Tardiness minimisation for a customer order scheduling problem with sum-of-processing-time-based learning effect.
J. Oper. Res. Soc., 2019

A High Accuracy Constant-On-Time Buck Converter with Spur-Free On-Time Generator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Driver Fatigue Prediction Using Different Sensor Data with Deep Learning.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

2018
Bicriterion total flowtime and maximum tardiness minimization for an order scheduling problem.
Comput. Ind. Eng., 2018

A Transient-Enhanced Constant On-Time Buck Converter with Light-Load Efficiency Optimization.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018

2017
deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

2016
Recurrent neural network-based language models with variation in net topology, language, and granularity.
Proceedings of the 2016 International Conference on Asian Language Processing, 2016

Verifying the long-range dependency of RNN language models.
Proceedings of the 2016 International Conference on Asian Language Processing, 2016


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