Chenhao Xue

Orcid: 0009-0004-8369-338X

According to our database1, Chenhao Xue authored at least 30 papers between 2016 and 2026.

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Timeline

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Bibliography

2026
AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator.
CoRR, April, 2026

A Full-Stack Performance Evaluation Infrastructure for 3D-DRAM-based LLM Accelerators.
CoRR, April, 2026

Constructing Composite Features for Interpretable Music-Tagging.
CoRR, March, 2026

Hardware-Software Co-design for 3D-DRAM-based LLM Serving Accelerator.
CoRR, March, 2026

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models.
Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025
Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2025

Proactive synergistic control of PM <sub>2.5</sub> and ozone through urban planning: longitudinal data analysis of 274 Chinese cities from 2005 to 2020.
Geo spatial Inf. Sci., November, 2025

AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification.
CoRR, August, 2025

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs.
CoRR, July, 2025

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.
CoRR, May, 2025

DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization.
CoRR, March, 2025

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators.
CoRR, March, 2025

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Orthrus: Dual-Loop Automated Framework for System-Technology Co-Optimization.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Quantifying Compositionality of Classic and State-of-the-Art Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Lembda: Optimizing LLM Inference on Embedded Platforms via CPU/FPGA Co-processing.
Proceedings of the Advanced Parallel Processing Technologies, 2025

2024
Theseus: Towards High-Efficiency Wafer-Scale Chip Design Space Exploration for Large Language Models.
CoRR, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.
CoRR, 2024

LLM Inference Unveiled: Survey and Roofline Model Insights.
CoRR, 2024

Erratum to: Large circuit models: opportunities and challenges.
Sci. China Inf. Sci., 2024

Large circuit models: opportunities and challenges.
Sci. China Inf. Sci., 2024

Design of Driver Stress Prediction Model with CNN-LSTM: Exploration of Feature Space using Genetic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2024

Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A Software-Hardware Co-design Solution for 3D Inner Structure Reconstruction.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2022
Latency-aware Spatial-wise Dynamic Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
PTQ4ViT: Post-Training Quantization Framework for Vision Transformers.
CoRR, 2021

PTQ-SL: Exploring the Sub-layerwise Post-training Quantization.
CoRR, 2021

LPX: Overlapping community detection based on X-means and label propagation algorithm in attributed networks.
Comput. Intell., 2021

2016
A machine learning based software process model recommendation method.
J. Syst. Softw., 2016


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