Meng Li
Orcid: 0000-0002-7212-2264Affiliations:
- Peking University, Beijing, China
- Meta / Facebook (former)
- University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA (former)
According to our database1,
Meng Li
authored at least 89 papers
between 2015 and 2024.
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Bibliography
2024
A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024
CoRR, 2024
CoRR, 2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization.
CoRR, 2024
CoRR, 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference.
CoRR, 2024
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the International Conference on 3D Vision, 2024
2023
AVATAR: An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
CoRR, 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Not your father's stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design.
Proceedings of the 15th IEEE International Conference on ASIC, 2023
2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the International Conference on Automated Machine Learning, 2022
2021
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
CoRR, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
CoRR, 2020
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix).
CoRR, 2020
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization.
CoRR, 2020
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview.
ACM Trans. Design Autom. Electr. Syst., 2019
IEEE Trans. Inf. Forensics Secur., 2019
Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
CoRR, 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
ACM Trans. Design Autom. Electr. Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
Proceedings of the IEEE International Test Conference, 2018
Proceedings of the 2018 International Symposium on Physical Design, 2018
Data Efficient Lithography Modeling with Residual Neural Networks and Transfer Learning.
Proceedings of the 2018 International Symposium on Physical Design, 2018
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018
2017
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control.
CoRR, 2017
UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper).
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Proceedings of the 2017 IEEE International Symposium on Hardware Oriented Security and Trust, 2017
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017
Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack.
Proceedings of the 54th Annual Design Automation Conference, 2017
2016
Proceedings of the 35th International Conference on Computer-Aided Design, 2016
Proceedings of the 53rd Annual Design Automation Conference, 2016
Proceedings of the 53rd Annual Design Automation Conference, 2016
2015
Proceedings of the 52nd Annual Design Automation Conference, 2015