Automatically Constructing of Association Semantic Link Enabled Subject Cognitive Mapping. - Pingyi Zhou; Jin Liu; Xianzhao Yang; Xu Chen; Shunxiang Zhang (IIKI, 2015)

Automatically constructing course dependence graph based on association semantic link model. - Pingyi Zhou; Jin Liu 016; Xianzhao Yang; Xiaohui Cui; Liang Chang 003; Shunxiang Zhang (Pers. Ubiquitous Comput., 2016)

Constructing Drug Ingredient Interaction Network to Ensure Medication Security. - Zhiren Mao; Pingyi Zhou; Jiaxiang Zhong; Luojia Jiang; Chongzhi Deng; Jin Liu (SEKE, 2017)

Improving Bug Triage with Relevant Search. - Xinyu Peng; Pingyi Zhou; Jin Liu; Xu Chen (SEKE, 2017)

Scalable tag recommendation for software information sites. - Pingyi Zhou; Jin Liu 016; Zijiang Yang 006; Guangyou Zhou (SANER, 2017)

FastTagRec: fast tag recommendation for software information sites. - Jin Liu 016; Pingyi Zhou; Zijiang Yang 006; Xiao Liu 004; John Grundy 001 (Autom. Softw. Eng., 2018)

Is deep learning better than traditional approaches in tag recommendation for software information sites? - Pingyi Zhou; Jin Liu 016; Xiao Liu 004; Zijiang Yang 006; John C. Grundy (Inf. Softw. Technol., 2019)

ServiceBERT: A Pre-trained Model for Web Service Tagging and Recommendation. - Xin Wang 114; Pingyi Zhou; Yasheng Wang; Xiao Liu 004; Jin Liu 016; Hao Wu 010 (ICSOC, 2021)

CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model. - Xin Wang 114; Yasheng Wang; Pingyi Zhou; Fei Mi; Meng Xiao; Yadao Wang; Li Li 029; Xiao Liu 004; Hao Wu 010; Jin Liu 016; Xin Jiang 002 (CoRR, 2021)

Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization. - Juncai Guo 003; Jin Liu 016; Yao Wan 001; Li Li 029; Pingyi Zhou (ACL (1), 2022)

Compilable Neural Code Generation with Compiler Feedback. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Fei Mi; Yitong Li; Pingyi Zhou; Jin Liu 016; Hao Wu 010; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation. - Yihe Wang; Yitong Li; Yasheng Wang; Fei Mi; Pingyi Zhou; Xin Wang 114; Jin Liu 016; Xin Jiang 002; Qun Liu 001 (COLING, 2022)

Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation. - Xin Wang 114; Xiao Liu 004; Pingyi Zhou; Qixia Liu; Jin Liu 016; Hao Wu 010; Xiaohui Cui (ASE, 2022)

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Jiawei Wang 003; Pingyi Zhou; Li Li 029; Hao Wu 010; Jin Liu 016 (NAACL-HLT (Findings), 2022)

PanGu-Coder: Program Synthesis with Function-Level Language Modeling. - Fenia Christopoulou; Gerasimos Lampouras; Milan Gritta; Guchun Zhang; Yinpeng Guo; Zhongqi Li; Qi Zhang; Meng Xiao; Bo Shen; Lin Li; Hao Yu 005; Li Yan; et al. (CoRR, 2022)

MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. - Zi Gong; Yinpeng Guo; Pingyi Zhou; Cuiyun Gao 001; Yasheng Wang; Zenglin Xu (CoRR, 2022)

History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt. - Yihe Wang; Yitong Li; Yasheng Wang; Fei Mi; Pingyi Zhou; Jin Liu 016; Xin Jiang 002; Qun Liu 001 (ICASSP, 2023)

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing. - Xiaozhe Ren; Pingyi Zhou; Xinfan Meng; Xinjing Huang; Yadao Wang; Weichao Wang; Pengfei Li; Xiaoda Zhang; Alexander Podolskiy; Grigory Arshinov; Andrey Bout; Irina Piontkovskaya; et al. (CoRR, 2023)

Extending Context Window of Large Language Models via Semantic Compression. - Weizhi Fei; Xueyan Niu 001; Pingyi Zhou; Lu Hou; Bo Bai 001; Lei Deng 001; Wei Han 004 (ACL (Findings), 2024)

XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference. - Shengnan Wang; Youhui Bai; Lin Zhang; Pingyi Zhou; Shixiong Zhao; Gong Zhang 001; Sen Wang 004; Renhai Chen; Hua Xu; Hongwei Sun (CoRR, 2024)