Haozhe Sun

According to our database, Haozhe Sun authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Modularity in deep learning. (Modularité dans l'apprentissage profond).

Haozhe Sun

PhD thesis, 2023

Modularity in Deep Learning: A Survey.

Haozhe Sun, Isabelle Guyon

CoRR, 2023

RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network.

Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Research on a Fiber Optic Oxygen Sensor Based on All-Phase Fast Fourier Transform (apFFT) Phase Detection.

Pengkai Xia, Haiyang Zhou, Haozhe Sun, Qingfeng Sun, Rupert Griffiths

Sensors, 2022

LTU Attacker for Membership Inference.

Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon

Algorithms, 2022

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification.

Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Effectiveness of Optimization Algorithms in Deep Image Classification.

Zhaoyang Zhu, Haozhe Sun, Chi Zhang

CoRR, 2021

OmniPrint: A Configurable Printed Character Synthesizer.

Haozhe Sun, Wei-Wei Tu, Isabelle Guyon

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin

Proceedings of the NeurIPS 2022 Competition Track, 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021