Wenxun Wang

According to our database, Wenxun Wang authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Improving Transformer Inference Through Optimized Nonlinear Operations With Quantization-Approximation-Based Strategy.

Wenxun Wang, Wenyu Sun, Yongpan Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2025

CCE: A 28nm Content Creation Engine with Asymmetric Computing, Semantic-Driven Instruction Generation and Collision-Free Outlier Mapper for Video Generation.

Chen Tang, Zongle Huang, Wenxun Wang, Yifan He, Shupei Fan, Xiaoyu Feng, Wenyu Sun, Yongpan Liu

Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

A 28nm 3.14 TFLOP/W BF16 LLM Fine-Tuning Processor with Asymmetric Quantization Computing for AI PC.

Xinyuan Lin, Leran Huang, Chenhan Wei, Wenbin Jia, Hedi Wang, Wenxun Wang, Hongyang Jia, Huazhong Yang, Yongpan Liu

Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

Pro-Cache-CIM: A 28nm 69.4TOPS/W Product-Cache-based Digital-Compute-in-Memory Macro Leveraging Data Locality Pattern in Vision AI Tasks.

Wenbin Jia, Yifan He, Xiang Li, Yixuan Xie, Zongle Huang, Wenxun Wang, Boju Chen, Yaolei Li, Jinshan Yue, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu

Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

2024

A Fully Quantized Training Accelerator for Diffusion Network With Tensor Type & Noise Strength Aware Precision Scheduling.

Ruoyang Liu, Wenxun Wang, Chen Tang, Weichen Gao, Huazhong Yang, Yongpan Liu

IEEE Trans. Circuits Syst. II Express Briefs, December, 2024

A Dynamic Execution Neural Network Processor for Fine-Grained Mixed-Precision Model Training Based on Online Quantization Sensitivity Analysis.

Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Binbin Yuan, Huazhong Yang, Yongpan Liu

IEEE J. Solid State Circuits, September, 2024

2023

SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference.

Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

A 28nm 1.07TFLOPS/mm² Dynamic-Precision Training Processor with Online Dynamic Execution and Multi- Level-Aligned Block-FP Processing.

Yixiong Yang, Ruoyang Liu, Chenhan Wei, Wenxun Wang, Wenyu Sun, Jinshan Yue, Huazhong Yang, Yongpan Liu

Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics.

Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Huazhong Yang, Yongpan Liu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Efficient Neural Networks with Spatial Wise Sparsity Using Unified Importance Map.

Chen Tang, Wenyu Sun, Wenxun Wang, Zhuqing Yuan, Yongpan Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Dynamic CNN Accelerator Supporting Efficient Filter Generator with Kernel Enhancement and Online Channel Pruning.

Chen Tang, Wenyu Sun, Wenxun Wang, Yongpan Liu

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022