Kaiqi Zhao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Iterative Optimization

Automatic Speech Recognition

Knowledge Transfer

Top Venues

Publications

Kaiqi Zhao, Ming Zhao
Self-Supervised Quantization-Aware Knowledge Distillation. AISTATS (2024)
Kaiqi Zhao, Ming Zhao
Self-Supervised Quantization-Aware Knowledge Distillation. CoRR (2024)
Kaiqi Zhao, Animesh Jain, Ming Zhao
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. CoRR (2023)
Kaiqi Zhao, Yitao Chen, Ming Zhao
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning. ICASSP (2023)
Kaiqi Zhao, Animesh Jain, Ming Zhao
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. AISTATS (2023)
Kaiqi Zhao, Ming Zhao
Poster: Self-Supervised Quantization-Aware Knowledge Distillation. sec (2023)
Kaiqi Zhao, Ming Zhao
Poster: Self-Supervised Quantization-Aware Knowledge Distillation. CoRR (2023)
Kaiqi Zhao, Yitao Chen, Ming Zhao
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning. CoRR (2023)
Kaiqi Zhao, Animesh Jain, Ming Zhao
Iterative Activation-based Structured Pruning. CoRR (2022)
Kaiqi Zhao, Yitao Chen, Ming Zhao
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer. CoRR (2022)
Kaiqi Zhao, Animesh Jain, Ming Zhao
Adaptive Activation-based Structured Pruning. CoRR (2022)
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)
Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. OpML (2019)
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)