I work as Sr. Staff Deep Learning Engineer at Qualcomm AI Research in San Diego. My research interests include deep generative models, neural data compression (image/video/speech compression), and machine learning for combinatorial optimization (e.g., graph-level compiler optimization). I am passionate about designing deep learning solutions to challenging problems and deploying them to edge devices.
I received my Ph.D. from the Ohio State University in 2015 on wireless networking. Before joining AI Research, I worked on wireless physical layer design (reference signal, channel estimation, tracking loop), channel coding design, and standardization for 5G NR (patent).
|Mar 18, 2022||Completed Chapter 2 Normalizing Flows of our deep generative models book|
|Mar 5, 2022||Post Quantization for Neural Networks is up!|
|Aug 1, 2021||My research focus is transitioned from neural data compression to MLCO.|
|Jun 19, 2021||Checkout my team’s demo: Real-time on-device neural video decoding (CVPR 2021); More|
|May 7, 2021||Co-organized ICLR 2021 Neural Compression Workshop|
|Apr 3, 2021||Post on how to enforce Lipschitz constant in neural networks is up!|
ICLRTransformer-based Transform CodingIn International Conference on Learning Representations (ICLR) 2022
ICIPProgressive Neural Image Compression With Nested Quantization And Latent OrderingIn IEEE International Conference on Image Processing (ICIP) 2021
JSPTransform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color SpacesIn IEEE Open Journal of Signal Processing 2021
ICASSPFeedback Recurrent AutoencoderIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
ACCVFeedback Recurrent Autoencoder for Video CompressionIn Asian Conference on Computer Vision (ACCV) 2020
CVPRGuided Variational Autoencoder for Disentanglement LearningIn IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020
ICASSPAutomatic Grammar Augmentation for Robust Voice Command RecognitionIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019
CVPR-WPhase Selective ConvolutionIn IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops on Embedded Vision 2021