Publications

(2022). Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. In International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022.

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(2022). SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. In Conference on Computer Vision and Pattern Recognition (CVPR) 2022.

(2022). Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. In Conference on Computer Vision and Pattern Recognition (CVPR) 2022.

(2022). NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. In Conference on Learning Representations (ICLR) 2022.

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(2021). DNA: Differentiable Network-Accelerator Co-Search. In International Symposium on Low Power Electronics and Design (ISLPED) 2021.

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(2021). AlphaNet: Improved Training of Supernets with Alpha-Divergence. In Conference on Machine Learning (ICML) 2021 (Long Oral).

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(2021). AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. In Conference on Computer Vision and Pattern Recognition (CVPR) 2021.

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(2021). Improving efficiency in neural network accelerator using operands hamming distance optimization. In Asia and South Pacific Design Automation Conference (ASP-DAC) 2021.

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(2020). KeepAugment: A Simple Information-Preserving Data Augmentation Approach. In Conference on Computer Vision and Pattern Recognition (CVPR) 2021.

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(2020). Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks. In ACM/IEEE Design Automation Conference (DAC) 2020.

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(2018). TimingSAT: Decamouflaging timing-based logic obfuscation. In IEEE International Test Conference (ITC) 2018.

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(2018). A Synergistic Framework for Hardware IP Privacy and Integrity Protection. In Springer (2018).

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(2018). A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (2018).

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(2018). Federated Learning with Non-IID Data. In arXiv:1806.00582 (2018).

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(2018). A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion. In Asia and South Pacific Design Automation Conference (ASP-DAC) 2018.

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(2018). PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training. In arXiv:1709:06161 (2018).

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(2017). Provably secure camouflaging strategy for IC protection. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (2018).

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(2017). Provably secure camouflaging strategy for IC protection. In ACM/IEEE International Conference on Computer Aided Design (ICCAD) 2017.

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(2017). Cross-level monte carlo framework for system vulnerability evaluation against fault attack. In ACM/IEEE Design Automation Conference (DAC) 2017.

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(2017). AppSAT: Approximately Deobfuscating Integrated Circuits. In IEEE International Symposium on Hardware Oriented Security and Trust (HOST) 2017 (Best Paper Award).

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(2016). Practical public PUF enabled by solving max-flow problem on chip. In ACM/IEEE Design Automation Conference (DAC) 2016.

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(2016). A monte carlo simulation flow for seu analysis of sequential circuits. In ACM/IEEE Design Automation Conference (DAC) 2016.

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(2013). Characterization of Random Telegraph Noise in Scaled High-κ/Metal-Gate MOSFETs with SiO2/HfO2 Gate Dielectrics. In ECS Transactions, 52 (1) 941-946 (2013).

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