Kaiqi Zhao

15 papers A 4Misc 2Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Smart Blue Light Pole-Based Real-Time Crowd Counting for Smart Campuses.
ICDCS
Yitao Chen, Kaiqi Zhao, Krishna Gundu, Zohair Zaidi, Ming Zhao
2024 A conf
Self-Supervised Quantization-Aware Knowledge Distillation.
AISTATS
Kaiqi Zhao, Ming Zhao
2024 J jnl
Self-Supervised Quantization-Aware Knowledge Distillation.
CoRR
Kaiqi Zhao, Ming Zhao
2023 Misc conf
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning.
ICASSP
Kaiqi Zhao, Yitao Chen, Ming Zhao
2023 J jnl
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning.
CoRR
Kaiqi Zhao, Yitao Chen, Ming Zhao
2023 A conf
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions.
AISTATS
Kaiqi Zhao, Animesh Jain, Ming Zhao
2023 J jnl
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions.
CoRR
Kaiqi Zhao, Animesh Jain, Ming Zhao
2023 Misc conf
Poster: Self-Supervised Quantization-Aware Knowledge Distillation.
SEC
Kaiqi Zhao, Ming Zhao
2023 J jnl
Poster: Self-Supervised Quantization-Aware Knowledge Distillation.
CoRR
Kaiqi Zhao, Ming Zhao
2022 J jnl
Adaptive Activation-based Structured Pruning.
CoRR
Kaiqi Zhao, Animesh Jain, Ming Zhao
2022 J jnl
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer.
CoRR
Kaiqi Zhao, Yitao Chen, Ming Zhao
2022 J jnl
Iterative Activation-based Structured Pruning.
CoRR
Kaiqi Zhao, Animesh Jain, Ming Zhao
2022 A conf
Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer.
INTERSPEECH
Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao
2019 — conf
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources.
HotEdge
Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao
2019 — conf
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks.
OpML
Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao