ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration. - Xiaoxuan Yang 001; Bonan Yan; Hai Li 001; Yiran Chen 001 (ICCAD, 2020)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. - Xiaoxuan Yang 001; Syrine Belakaria; Biresh Kumar Joardar; Huanrui Yang; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty; Hai Helen Li (ICCAD, 2021)

Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN). - Changming Wu; Xiaoxuan Yang 001; Heshan Yu; Ruoming Peng; Ichiro Takeuchi; Yiran Chen 001; Mo Li (CoRR, 2021)

On Building Efficient and Robust Neural Network Designs. - Xiaoxuan Yang 001; Huanrui Yang; Jingchi Zhang; Hai Helen Li; Yiran Chen 001 (IEEECONF, 2022)

HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. - Huanrui Yang; Xiaoxuan Yang 001; Neil Zhenqiang Gong; Yiran Chen 001 (DAC, 2022)

Approximate Computing and the Efficient Machine Learning Expedition. - Jörg Henkel; Hai Li 001; Anand Raghunathan; Mehdi B. Tahoori; Swagath Venkataramani; Xiaoxuan Yang 001; Georgios Zervakis 001 (ICCAD, 2022)

Tolerating Noise Effects in Processing-in-Memory Systems for Neural Networks: A Hardware-Software Codesign Perspective. - Xiaoxuan Yang 001; Changming Wu; Mo Li; Yiran Chen 001 (Adv. Intell. Syst., 2022)

Research Progress on Memristor: From Synapses to Computing Systems. - Xiaoxuan Yang 001; Brady Taylor; Ailong Wu; Yiran Chen 001; Leon O. Chua (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design. - Xiaoxuan Yang 001; Shiyu Li 001; Qilin Zheng; Yiran Chen 001 (ASP-DAC, 2023)

Biologically Plausible Learning on Neuromorphic Hardware Architectures. - Christopher Wolters; Brady Taylor; Edward Hanson; Xiaoxuan Yang 001; Ulf Schlichtmann; Yiran Chen 001 (MWSCAS, 2023)

Improving the Efficiency and Robustness of In-Memory Computing in Emerging Technologies. - Xiaoxuan Yang 001 (2023)

ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. - Xiaoxuan Yang 001; Huanrui Yang; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty; Hai Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation. - Brady Taylor; Xiaoxuan Yang 001; Hai Li 001 (AICAS, 2024)

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference. - Christopher Wolters; Xiaoxuan Yang 001; Ulf Schlichtmann; Toyotaro Suzumura (CoRR, 2024)

Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design. - Xiaoxuan Yang 001; Zhangyang Wang; X. Sharon Hu; Chris H. Kim; Shimeng Yu; Miroslav Pajic; Rajit Manohar; Yiran Chen 001; Hai Helen Li (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. - Xueying Wu; Edward Hanson; Nansu Wang; Qilin Zheng; Xiaoxuan Yang 001; Huanrui Yang; Shiyu Li 001; Feng Cheng; Partha Pratim Pande; Janardhan Rao Doppa; Krishnendu Chakrabarty; Hai Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration. - Peilin Chen; Xiaoxuan Yang 001 (ACM Great Lakes Symposium on VLSI, 2025)

AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems. - Feng Cheng; Tunhou Zhang; Junyao Zhang; Jonathan Hao-Cheng Ku; Yitu Wang; Xiaoxuan Yang 001; Hai Li 001; Yiran Chen 001 (ACM Great Lakes Symposium on VLSI, 2025)

Optimizing and Exploring System Performance in Compact Processing-in-Memory-based Chips. - Peilin Chen; Xiaoxuan Yang 001 (CoRR, 2025)