Bingchang Liu - RankMe

21 papers A* 6A 1B 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. AAAI Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang
2025	J	`jnl`	Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks. CoRR Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di
2025	J	`jnl`	Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. CoRR Codefuse, Wenting Cai, Yuchen Cao, Chaoyu Chen, Chen Chen, Siba Chen, Qing Cui, Peng Di, Junpeng Fang, Zi Gong, Ting Guo, Zhengyu He, Yang Huang, Cong Li, Jianguo Li, Zheng Li, Shijie Lian, Bingchang Liu, Songshan Luo, Shuo Mao, Min Shen, Jian Wu, Jiaolong Yang, Wenjie Yang, Tong Ye, Hang Yu, Wei Zhang, Zhenduo Zhang, Hailin Zhao, Xunjin Zheng, Jun Zhou
2025	J	`jnl`	LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. CoRR Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang
2024	A*	`conf`	CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. EMNLP Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li
2024	J	`jnl`	CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. CoRR Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li
2024	—	`conf`	CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. ICSE-SEIP Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
2024	A*	`conf`	MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. KDD Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li
2024	—	`conf`	MicroFuzz: An Efficient Fuzzing Framework for Microservices. ICSE-SEIP Peng Di, Bingchang Liu, Yiyi Gao
2024	J	`jnl`	MicroFuzz: An Efficient Fuzzing Framework for Microservices. CoRR Peng Di, Bingchang Liu, Yiyi Gao
2024	J	`jnl`	Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code. Trans. Mach. Learn. Res. Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang
2023	J	`jnl`	A Survey on Language Models for Code. CoRR Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang
2023	—	`conf`	An Empirical Study on Change-induced Incidents of Online Service Systems. ICSE-SEIP Yifan Wu, Bingxu Chai, Ying Li, Bingchang Liu, Jianguo Li, Yong Yang, Wei Jiang
2023	J	`jnl`	CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. CoRR Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
2023	J	`jnl`	MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. CoRR Bingchang Liu, Chaoyu Chen, Cong Liao, Zi Gong, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Hang Yu, Jianguo Li
2020	A*	`conf`	A large-scale empirical study on vulnerability distribution within projects and the lessons learned. ICSE Bingchang Liu, Guozhu Meng, Wei Zou, Qi Gong, Feng Li, Min Lin, Dandan Sun, Wei Huo, Chao Zhang
2020	—	`conf`	DCDFNE: build dataset to evaluate binary codes diffing tools and train deep learning models. ISPA/BDCloud/SocialCom/SustainCom Ke Zhan, Zhonghua Lu, Bingchang Liu
2020	B	`conf`	Exploiting the Trust Between Boundaries: Discovering Memory Corruptions in Printers via Driver-Assisted Testing. LCTES Xiaoyu He, Erick Bauman, Feng Li, Lei Yu, Linyu Li, Bingchang Liu, Aihua Piao, Kevin W. Hamlen, Wei Huo, Wei Zou
2019	A	`conf`	1dVul: Discovering 1-Day Vulnerabilities through Binary Patches. DSN Jiaqi Peng, Feng Li, Bingchang Liu, Lili Xu, Binghong Liu, Kai Chen, Wei Huo
2018	A*	`conf`	Revery: From Proof-of-Concept to Exploitable. CCS Yan Wang, Chao Zhang, Xiaobo Xiang, Zixuan Zhao, Wenjie Li, Xiaorui Gong, Bingchang Liu, Kaixiang Chen, Wei Zou
2018	A*	`conf`	αDiff: cross-version binary code similarity detection with DNN. ASE Bingchang Liu, Wei Huo, Chao Zhang, Wenchao Li, Feng Li, Aihua Piao, Wei Zou