Recorded Talks
Invited talks
Exploring Bit-Level Patterns for Efficient NN Quantization and Deployment
Robust DNN Inference under Input, Quantization and On-Chip Stochastic Noises
Stories of the Generation Z AI Researchers
Towards Efficient DNN Architecture
Conference talks
Global Vision Transformer Pruning with Hessian-Aware Saliency
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification
DAC 2023 online oral presentation (to be appeared)
Hero: Hessian-enhanced robust optimization for unifying and improving generalization and quantization performance
DAC 2022 online oral presentation (to be appeared)
ASP-DAC 2023 Designer's Forum oral presentation (to be appeared)
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
DVERGE: diversifying vulnerabilities for enhanced robust generation of ensembles
Online presentation at TechBeat (in Chinese)
Online presentation at AI TIME PhD Series (in Chinese)
Online presentation at VALSE Student Webinar (in Chinese)
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
Deephoyer: Learning sparser neural network with differentiable scale-invariant sparsity measures
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment