Ka-band 1 W GaN MMIC Power Amplifier Design. - Lin Peng; Shaoxin Lin; Jianqiang Chen; Jiajin Li; Gary Zhang (ICSPCC, 2021)

ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification. - Jiaxin Zhang 011; Jie Liu 007; Shaowei Chen; Shaoxin Lin; Bingquan Wang; Shanpeng Wang (PAKDD (1), 2022)

CodeM: Less Data Yields More Versatility via Ability Matrix. - Daoguang Zan; Ailun Yu; Wei Liu 007; Bo Shen; Shaoxin Lin; Yongshun Gong; Yafen Yao; Yan Liu; Bei Guan; Weihua Luo; Yongji Wang 002; Qianxiang Wang; et al. (ACL (Findings), 2024)

CodeR: Issue Resolving with Multi-Agent and Task Graphs. - Dong Chen 015; Shaoxin Lin; Muhan Zeng; Daoguang Zan; Jian-Gang Wang; Anton Cheshkov; Jun Sun 001; Hao Yu; Guoliang Dong; Artem Aliev; Jie Wang; Xiao Cheng; et al. (CoRR, 2024)

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. - Daoguang Zan; Zhirong Huang; Ailun Yu; Shaoxin Lin; Yifan Shi; Wei Liu 007; Dong Chen 015; Zongshuai Qi; Hao Yu; Lei Yu; Dezhi Ran; Muhan Zeng; et al. (CoRR, 2024)

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution. - Han Li; Yuling Shi; Shaoxin Lin; Xiaodong Gu; Heng Lian; Xin Wang; Yantao Jia; Tao Huang; Qianxiang Wang (CoRR, 2025)

SWE-Exp: Experience-Driven Software Issue Resolution. - Silin Chen; Shaoxin Lin; Xiaodong Gu; Yuling Shi; Heng Lian; Longfei Yun; Dong Chen; Weiguo Sun; Lin Cao; Qianxiang Wang (CoRR, 2025)

Wenwang: Toward Effectively Generating Code Beyond Standalone Functions via Generative Pre-trained Models. - Hao Yu; Bo Shen; Jiaxin Zhang 029; Shaoxin Lin; Lin Li; Guangtai Liang; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ACM Trans. Softw. Eng. Methodol., 2025)