Changran Xu

According to our database, Changran Xu authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers.

Xiangyu Wen, Yuang Zhao, Xiaoyu Xu, Lingjun Chen, Changran Xu, Shu Chi, Jianrong Ding, Zeju Li, Haomin Li, Li Jiang, Fangxin Liu, Qiang Xu

CoRR, April, 2026

CktEvo: Repository-Level RTL Code Benchmark for Design Evolution.

Zhengyuan Shi, Jingxin Wang, Tairan Cheng, Changran Xu, Weikang Qian, Qiang Xu

CoRR, March, 2026

2025

From Craft to Constitution: A Governance-First Paradigm for Principled Agent Engineering.

Qiang Xu, Xiangyu Wen, Changran Xu, Zeju Li, Jianyuan Zhong

CoRR, October, 2025

DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis.

Zeju Li, Changran Xu, Zhengyuan Shi, Zedong Peng, Yi Liu, Yunhao Zhou, Lingfeng Zhou, Chengyu Ma, Jianyuan Zhong, Xi Wang, Jieru Zhao, Zhufei Chu, Xiaoyan Yang, Qiang Xu

CoRR, February, 2025

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model.

Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Speculative Decoding for Verilog: Speed and Quality, All in One.

Changran Xu, Yi Liu, Yunhao Zhou, Shan Huang, Ningyi Xu, Qiang Xu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

DeepRTL2: A Versatile Model for RTL-Related Tasks.

Yi Liu, Hongji Zhang, Yunhao Zhou, Zhengyuan Shi, Changran Xu, Qiang Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SAM-dPCR: Real-Time and High-throughput Absolute Quantification of Biological Samples Using Zero-Shot Segment Anything Model.

Yuanyuan Wei, Shanhang Luo, Changran Xu, Yingqi Fu, Qingyue Dong, Yi Zhang, Fuyang Qu, Guangyao Cheng, Yi-Ping Ho, Ho-Pui Ho, Wu Yuan

CoRR, 2024

Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis.

Muxi Chen, Yi Liu, Jian Yi, Changran Xu, Qiuxia Lai, Hongliang Wang, Tsung-Yi Ho, Qiang Xu

CoRR, 2024