Xiaoxuan Yang

29 papers A* 1A 3Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
End-to-End Transformer Acceleration Through Processing-in-Memory Architectures.
CoRR
Xiaoxuan Yang, Peilin Chen, Tergel Molom-Ochir, Yiran Chen
2025 — conf
AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems.
ACM Great Lakes Symposium on VLSI
Feng Cheng, Tunhou Zhang, Junyao Zhang, Jonathan Hao-Cheng Ku, Yitu Wang, Xiaoxuan Yang, Hai Li, Yiran Chen
2025 J jnl
AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems.
CoRR
Feng Cheng, Tunhou Zhang, Junyao Zhang, Jonathan Hao-Cheng Ku, Yitu Wang, Xiaoxuan Yang, Hai Li, Yiran Chen
2025 — conf
Norm-Q: Effective Compression Method for Hidden Markov Models in Neuro-Symbolic Applications.
IEEECONF
Hanyuan Gao, Xiaoxuan Yang
2025 — conf
Optimizing and Exploring System Performance in Compact Processing-in-Memory-based Chips.
AICAS
Peilin Chen, Xiaoxuan Yang
2025 J jnl
Optimizing and Exploring System Performance in Compact Processing-in-Memory-based Chips.
CoRR
Peilin Chen, Xiaoxuan Yang
2025 — conf
Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration.
ACM Great Lakes Symposium on VLSI
Peilin Chen, Xiaoxuan Yang
2025 J jnl
Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration.
CoRR
Peilin Chen, Xiaoxuan Yang
2024 J jnl
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
2024 J jnl
Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference.
CoRR
Christopher Wolters, Xiaoxuan Yang, Ulf Schlichtmann, Toyotaro Suzumura
2024 J jnl
Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design.
IEEE Trans. Circuits Syst. II Express Briefs
Xiaoxuan Yang, Zhangyang Wang, X. Sharon Hu, Chris H. Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li
2024 — conf
Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation.
AICAS
Brady Taylor, Xiaoxuan Yang, Hai Li
2023 — conf
Biologically Plausible Learning on Neuromorphic Hardware Architectures.
MWSCAS
Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen
2023 J jnl
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators.
CoRR
Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
2023 J jnl
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
2023 — —
Improving the Efficiency and Robustness of In-Memory Computing in Emerging Technologies.
Xiaoxuan Yang
2023 — conf
Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design.
ASP-DAC
Xiaoxuan Yang, Shiyu Li, Qilin Zheng, Yiran Chen
2022 A conf
Approximate Computing and the Efficient Machine Learning Expedition.
ICCAD
Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis
2022 J jnl
Approximate Computing and the Efficient Machine Learning Expedition.
CoRR
Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis
2022 J jnl
Biologically Plausible Learning on Neuromorphic Hardware Architectures.
CoRR
Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen
2022 A* conf
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance.
DAC
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
2022 — conf
On Building Efficient and Robust Neural Network Designs.
IEEECONF
Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen
2022 J jnl
Research Progress on Memristor: From Synapses to Computing Systems.
IEEE Trans. Circuits Syst. I Regul. Pap.
Xiaoxuan Yang, Brady Taylor, Ailong Wu, Yiran Chen, Leon O. Chua
2022 J jnl
Tolerating Noise Effects in Processing-in-Memory Systems for Neural Networks: A Hardware-Software Codesign Perspective.
Adv. Intell. Syst.
Xiaoxuan Yang, Changming Wu, Mo Li, Yiran Chen
2021 J jnl
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance.
CoRR
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
2021 J jnl
Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN).
CoRR
Changming Wu, Xiaoxuan Yang, Heshan Yu, Ruoming Peng, Ichiro Takeuchi, Yiran Chen, Mo Li
2021 A conf
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.
ICCAD
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li
2021 J jnl
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.
CoRR
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
2020 A conf
ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration.
ICCAD
Xiaoxuan Yang, Bonan Yan, Hai Li, Yiran Chen