Chujie Chen

According to our database, Chujie Chen authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models.

Cangyuan Li, Chujie Chen, Yudong Pan, Wenjun Xu, Yiqi Liu, Kaiyan Chang, Yujie Wang, Mengdi Wang, Huawei Li, Yinhe Han, Ying Wang

ACM Trans. Design Autom. Electr. Syst., November, 2025

UAVScenes: A Multi-Modal Dataset for UAVs.

Sijie Wang, Siqi Li, Yawei Zhang, Shangshu Yu, Shenghai Yuan, Rui She, Quanjiang Guo, Jinxuan Zheng, Ong Kang Howe, Leonrich Chandra, Shrivarshann Srijeyan, Aditya Sivadas, Toshan Aggarwal, Heyuan Liu, Hongming Zhang, Chujie Chen, Junyu Jiang, Lihua Xie, Wee Peng Tay

CoRR, July, 2025

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs.

Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen, Chengjie Liu, Yi Liu, Yunhao Zhou, Yuxiang Zhao, Hefei Feng, Yinan Zhu, Gwok-Waa Wan, Xin Cheng, Weiyu Chen, Yongqi Fu, Chujie Chen, Chenhao Xue, Guangyu Sun, Ying Wang, Yibo Lin, Jun Yang, Ning Xu, Xi Wang, Qiang Xu

CoRR, July, 2025

ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning.

Zhirong Chen, Kaiyan Chang, Zhuolin Li, Xinyang He, Chujie Chen, Cangyuan Li, Mengdi Wang, Haobo Xu, Yinhe Han, Ying Wang

CoRR, July, 2025

2024

Automated Scoring of Asynchronous Interview Videos Based on Multi-Modal Window-Consistency Fusion.

Jianming Lv, Chujie Chen, Zequan Liang

IEEE Trans. Affect. Comput., 2024

2023

Observation of high-energy neutrinos from the Galactic plane.

Rasha U. Abbasi, Markus Ackermann, Jenni Adams, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, Antonio Augusto Alves Jr., Najia Moureen Amin, Karen Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., Steven W. Barwick, Vedant Basu, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, M. Boddenberg, F. Bontempo, J. Y. Book, J. Borowka, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, Federica Bradascio, J. Braun, B. Brinson, Stephanie Bron, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, Janet Marie Conrad, et al.

CoRR, 2023

2022

Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube.

Rasha U. Abbasi, Markus Ackermann, Jenni Adams, N. Aggarwal, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, Antonio Augusto Alves Jr., Najia Moureen Amin, Karen Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., M. Baricevic, Steven W. Barwick, Vedant Basu, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, F. Bontempo, J. Y. Book, J. Borowka, C. Boscolo Meneguolo, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Braun, B. Brinson, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, Janet Marie Conrad, et al.

CoRR, 2022

2021

GPS-ReID: A Benchmark for Cross-Modal Pedestrian Retrieval.

Shaochuan Lin, Jianming Lv, Yaquan Wang, Chujie Chen

Proceedings of the International Joint Conference on Neural Networks, 2021