Audio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power Gating. - Zichen Fan; Hyochan An; Qirui Zhang 001; Boxun Xu; Li Xu 006; Chien-Wei Tseng; Yimai Peng; Ang Cao; Bowen Liu 001; Changwoo Lee 001; Zhehong Wang; Fanghao Liu; et al. (VLSI Technology and Circuits, 2022)

UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities. - Hejia Geng; Boxun Xu; Peng Li 001 (CoRR, 2023)

DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention. - Boxun Xu; Hejia Geng; Yuxuan Yin; Peng Li 001 (CoRR, 2023)

Spiking Transformer Hardware Accelerators in 3D Integration. - Boxun Xu; Junyoung Hwang; Pruek Vanna-Iampikul; Sung Kyu Lim; Peng Li 001 (ICCAD, 2024)

ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models. - Yuxuan Yin; Yu Wang 167; Boxun Xu; Peng Li 001 (ICCAD, 2024)

DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention. - Boxun Xu; Hejia Geng; Yuxuan Yin; Peng Li 001 (CoRR, 2024)

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search. - Boxun Xu; Yufei Song; Peng Li 001 (CoRR, 2024)

Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers. - Boxun Xu; Junyoung Hwang; Pruek Vanna-Iampikul; Yuxuan Yin; Sung Kyu Lim; Peng Li 001 (CoRR, 2024)

AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT Devices. - Zichen Fan; Qirui Zhang 001; Hyochan An; Boxun Xu; Li Xu 006; Chien-Wei Tseng; Yimai Peng; Andrea Bejarano-Carbo; Pierre Abillama; Ang Cao; Bowen Liu 001; Changwoo Lee 001; et al. (IEEE J. Solid State Circuits, 2024)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-constrained Pruning. - Boxun Xu; Yuxuan Yin; Vikram Iyer; Peng Li 001 (ISCA, 2025)

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks. - Boxun Xu; Richard Boone; Peng Li (CoRR, 2025)

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives. - Zihu Wang; Boxun Xu; Hejia Geng; Peng Li (CoRR, 2025)