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Kaiqi Zhao 0002
Person information
- affiliation: Arizona State University, AZ, USA
Other persons with the same name
- Kaiqi Zhao 0001
— University of Auckland, New Zealand
- Kaiqi Zhao 0003 (aka: Kai-qi Zhao 0003) — Harbin Engineering University, College of Automation, China
- Kaiqi Zhao 0004
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2020 – today
- 2024
- [c7]Kaiqi Zhao, Ming Zhao:
Self-Supervised Quantization-Aware Knowledge Distillation. AISTATS 2024: 4375-4383 - [i7]Kaiqi Zhao, Ming Zhao:
Self-Supervised Quantization-Aware Knowledge Distillation. CoRR abs/2403.11106 (2024) - 2023
- [c6]Kaiqi Zhao, Animesh Jain, Ming Zhao:
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. AISTATS 2023: 10470-10486 - [c5]Kaiqi Zhao, Yitao Chen, Ming Zhao:
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning. ICASSP 2023: 1-5 - [c4]Kaiqi Zhao
Poster: Self-Supervised Quantization-Aware Knowledge Distillation. SEC 2023: 250-252 - [i6]Kaiqi Zhao, Yitao Chen, Ming Zhao:
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning. CoRR abs/2303.07599 (2023) - [i5]Kaiqi Zhao, Animesh Jain, Ming Zhao:
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. CoRR abs/2303.08595 (2023) - [i4]Kaiqi Zhao, Ming Zhao:
Poster: Self-Supervised Quantization-Aware Knowledge Distillation. CoRR abs/2309.13220 (2023) - 2022
- [c3]Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao:
Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer. INTERSPEECH 2022: 4436-4440 - [i3]Kaiqi Zhao, Animesh Jain, Ming Zhao:
Iterative Activation-based Structured Pruning. CoRR abs/2201.09881 (2022) - [i2]Kaiqi Zhao, Animesh Jain, Ming Zhao:
Adaptive Activation-based Structured Pruning. CoRR abs/2201.10520 (2022) - [i1]Kaiqi Zhao, Yitao Chen, Ming Zhao:
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer. CoRR abs/2201.10947 (2022)
2010 – 2019
- 2019
- [c2]Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao:
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. HotEdge 2019 - [c1]Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao:
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. OpML 2019: 47-49
Coauthor Index
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last updated on 2024-11-26 20:49 CET by the dblp team
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