Wenxun Wang - RankMe

16 papers A 1C 1Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CCE: A Content Creation Engine With Outlier and Mixed-Representation Computing, Semantic-Defined Instruction Generation for Video Diffusion. IEEE J. Solid State Circuits Chen Tang, Zongle Huang, Wenxun Wang, Xiaoyu Feng, Yifan He, Shupei Fan, Kecheng Wang, Wenyu Sun, Yongpan Liu
2026	—	`conf`	Phase-Based Invisible Backdoor Attack. CNML Chengyi Qiu, Ke Xu, Wenxun Wang, Keping Xiao
2025	—	`conf`	A 28nm 3.14 TFLOP/W BF16 LLM Fine-Tuning Processor with Asymmetric Quantization Computing for AI PC. CICC Xinyuan Lin, Leran Huang, Chenhan Wei, Wenbin Jia, Hedi Wang, Wenxun Wang, Hongyang Jia, Huazhong Yang, Yongpan Liu
2025	—	`conf`	CCE: A 28nm Content Creation Engine with Asymmetric Computing, Semantic-Driven Instruction Generation and Collision-Free Outlier Mapper for Video Generation. CICC Chen Tang, Zongle Huang, Wenxun Wang, Yifan He, Shupei Fan, Xiaoyu Feng, Wenyu Sun, Yongpan Liu
2025	J	`jnl`	Improving Transformer Inference Through Optimized Nonlinear Operations With Quantization-Approximation-Based Strategy. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Wenxun Wang, Wenyu Sun, Yongpan Liu
2025	—	`conf`	Pro-Cache-CIM: A 28nm 69.4TOPS/W Product-Cache-based Digital-Compute-in-Memory Macro Leveraging Data Locality Pattern in Vision AI Tasks. CICC 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
2025	J	`jnl`	SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. CoRR Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu
2025	J	`jnl`	TASP: Topology-aware Sequence Parallelism. CoRR Yida Wang, Ke Hong, Xiuhong Li, Yuanchao Xu, Wenxun Wang, Guohao Dai, Yu Wang
2024	J	`jnl`	A Dynamic Execution Neural Network Processor for Fine-Grained Mixed-Precision Model Training Based on Online Quantization Sensitivity Analysis. IEEE J. Solid State Circuits Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Binbin Yuan, Huazhong Yang, Yongpan Liu
2024	J	`jnl`	A Fully Quantized Training Accelerator for Diffusion Network With Tensor Type & Noise Strength Aware Precision Scheduling. IEEE Trans. Circuits Syst. II Express Briefs Ruoyang Liu, Wenxun Wang, Chen Tang, Weichen Gao, Huazhong Yang, Yongpan Liu
2023	—	`conf`	A 28nm 1.07TFLOPS/mm CICC Yixiong Yang, Ruoyang Liu, Chenhan Wei, Wenxun Wang, Wenyu Sun, Jinshan Yue, Huazhong Yang, Yongpan Liu
2023	—	`conf`	Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics. ASP-DAC Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Huazhong Yang, Yongpan Liu
2023	A	`conf`	SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. ICCAD Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu
2022	J	`jnl`	Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics. CoRR Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Huazhong Yang, Yongpan Liu
2022	—	`conf`	Dynamic CNN Accelerator Supporting Efficient Filter Generator with Kernel Enhancement and Online Channel Pruning. ASP-DAC Chen Tang, Wenyu Sun, Wenxun Wang, Yongpan Liu
2022	C	`conf`	Efficient Neural Networks with Spatial Wise Sparsity Using Unified Importance Map. ISCAS Chen Tang, Wenyu Sun, Wenxun Wang, Zhuqing Yuan, Yongpan Liu