Xinhan Lin

According to our database, Xinhan Lin authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An adaptive hybrid algorithm with system participants classification for efficient convex hull pricing in electricity markets.

Shifei Chen, Linfeng Yang, Xinhan Lin, Cuo Zhang

Eur. J. Oper. Res., 2026

2025

RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts.

Yu Zhang, Shujun Peng, Nengwu Wu, Xinhan Lin, Yang Hu, Jie Tang

CoRR, February, 2025

2024

Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection.

Yu Zhang, Ruoyu Li, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, Yong Jiang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips.

Shaojun Wei, Xinhan Lin, Fengbin Tu, Yang Wang, Leibo Liu, Shouyi Yin

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2023

Wafer-scale Computing: Advancements, Challenges, and Future Perspectives.

Yang Hu, Xinhan Lin, Huizheng Wang, Zhen He, Xingmao Yu, Jiahao Zhang, Qize Yang, Zheng Xu, Sihan Guan, Jiahao Fang, Haoran Shang, Xinru Tang, Xu Dai, Shaojun Wei, Shouyi Yin

CoRR, 2023

2022

Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE J. Solid State Circuits, 2022

2021

A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

ADROIT: An Adaptive Dynamic Refresh Optimization Framework for DRAM Energy Saving In DNN Training.

Xinhan Lin, Liang Sun, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei, Shouyi Yin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019

Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory.

Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Jishen Zhao, Cong Xu, Shuangchen Li, Yuan Xie, Shaojun Wei

IEEE Trans. Parallel Distributed Syst., 2019

A High Throughput Acceleration for Hybrid Neural Networks With Efficient Resource Management on FPGA.

Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Shaojun Wei

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

2018

LCP: a layer clusters paralleling mapping method for accelerating inception and residual networks on FPGA.

Xinhan Lin, Shouyi Yin, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures (Abstract Only).

Shouyi Yin, Dajiang Liu, Lifeng Sun, Xinhan Lin, Leibo Liu, Shaojun Wei

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2016

Exploiting Parallelism of Imperfect Nested Loops on Coarse-Grained Reconfigurable Architectures.

Shouyi Yin, Xinhan Lin, Leibo Liu, Shaojun Wei

IEEE Trans. Parallel Distributed Syst., 2016

Exploiting parallelism of imperfect nested loops with sibling inner loops on coarse-grained reconfigurable architectures.

Xinhan Lin, Shouyi Yin, Leibo Liu, Shaojun Wei

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016