Sixu Li
Orcid: 0000-0002-9105-9299
According to our database1,
Sixu Li
authored at least 37 papers
between 2015 and 2025.
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Bibliography
2025
Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach.
IEEE Trans. Intell. Transp. Syst., July, 2025
Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits.
CoRR, May, 2025
AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics.
CoRR, May, 2025
Virtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Safety Analysis.
CoRR, April, 2025
CoRR, March, 2025
Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Shallow Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentinel-2 Data.
Remote. Sens., 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization.
J. Mach. Learn. Res., 2024
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization.
CoRR, 2024
Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations.
CoRR, 2024
Why Anticipatory Sensing Matters in Commercial ACC Systems under Cut-In Scenarios: A Perspective from Stochastic Safety Analysis.
CoRR, 2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.
CoRR, 2024
Overview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow.
CoRR, 2024
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
2023
NVP: A Flexible and Efficient Processor Architecture for Accelerating Diverse Computer Vision Tasks including DNN.
IEEE Trans. Circuits Syst. II Express Briefs, 2023
Achievable rate as affected by active elements distribution in reconfigurable intelligent surfaces for wireless communication.
PeerJ Comput. Sci., 2023
Beyond 1D and oversimplified kinematics: A generic analytical framework for surrogate safety measures.
CoRR, 2023
Sequencing-enabled Hierarchical Cooperative CAV On-ramp Merging Control with Enhanced Stability and Feasibility.
CoRR, 2023
Sequencing-Enabled Hierarchical Cooperative On-Ramp Merging Control for Connected and Automated Vehicles.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning.
IEEE Trans. Biomed. Circuits Syst., 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks.
CoRR, 2022
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
An energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022
2021
A Fast and Energy-Efficient SNN Processor With Adaptive Clock/Event-Driven Computation Scheme and Online Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
2020
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle.
CoRR, 2020
2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
2015
Proceedings of the Social Media Processing - 4th National Conference, 2015