NaturalCC: An Open-Source Toolkit for Code Intelligence. - Yao Wan 001; Yang He; Zhangqian Bi; Jianguo Zhang 005; Yulei Sui; Hongyu Zhang 002; Kazuma Hashimoto; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (ICSE-Companion, 2022)

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. - Zhangqian Bi; Yao Wan 001; Zheng Wang 001; Hongyu Zhang 002; Batu Guan; Fangxin Lu; Zili Zhang; Yulei Sui; Hai Jin 001; Xuanhua Shi (ACL (Findings), 2024)

AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints. - Yu-Zhe Shi; Haofei Hou; Zhangqian Bi; Fanxu Meng; Xiang Wei; Lecheng Ruan; Qining Wang (ACL (1), 2024)

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. - Batu Guan; Yao Wan 001; Zhangqian Bi; Zheng Wang 001; Hongyu Zhang 002; Pan Zhou 001; Lichao Sun 001 (EMNLP (Findings), 2024)

Expert-level protocol translation for self-driving labs. - Yu-Zhe Shi; Fanxu Meng; Haofei Hou; Zhangqian Bi; Qiao Xu; Lecheng Ruan; Qining Wang (NeurIPS, 2024)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. - Yao Wan 001; Zhangqian Bi; Yang He; Jianguo Zhang 005; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001; Philip S. Yu (ACM Comput. Surv., 2024)

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. - Yu-Zhe Shi; Mingchen Liu; Fanxu Meng; Qiao Xu; Zhangqian Bi; Kun He 001; Lecheng Ruan; Qining Wang (ICLR, 2025)

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. - Zhangqian Bi; Yao Wan 001; Zhaoyang Chu; Yufei Hu; Junyi Zhang; Hongyu Zhang 002; Guandong Xu; Hai Jin 001 (SANER, 2025)