Boxun Xu
Orcid: 0009-0003-2896-6632
According to our database1,
Boxun Xu authored at least 20 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection.
CoRR, May, 2026
Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation.
CoRR, April, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, December, 2025
VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering.
CoRR, December, 2025
CoRR, November, 2025
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks.
CoRR, May, 2025
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing.
Proceedings of the IEEE International Test Conference, 2025
Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-constrained Pruning.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025
3D Acceleration for Mixture-of-Experts and Multi-Head Attention Spiking Transformers with Dynamic Head Pruning.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025
Trimming Down Large Spiking Vision Transformers Via Heterogeneous Quantization Search.
Proceedings of the 36th IEEE International Conference on Application-specific Systems, 2025
2024
AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT Devices.
IEEE J. Solid State Circuits, October, 2024
Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers.
CoRR, 2024
CoRR, 2024
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
2023
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention.
CoRR, 2023
UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities.
CoRR, 2023
2022
Audio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power Gating.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022