Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (CoRR, 2020)

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. - Junjie Huang 008; Duyu Tang; Linjun Shou; Ming Gong 001; Ke Xu 001; Daxin Jiang; Ming Zhou 001; Nan Duan (ACL/IJCNLP (1), 2021)

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (Canadian AI, 2021)

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. - Junjie Huang 008; Duyu Tang; Wanjun Zhong; Shuai Lu; Linjun Shou; Ming Gong 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2021)

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Shuai Lu; Daya Guo; Shuo Ren; Junjie Huang 008; Alexey Svyatkovskiy; Ambrosio Blanco; Colin B. Clement; Dawn Drain; Daxin Jiang; Duyu Tang; Ge Li 001; Lidong Zhou; et al. (NeurIPS Datasets and Benchmarks, 2021)

CodeExp: Explanatory Code Document Generation. - Haotian Cui; Chenglong Wang; Junjie Huang 008; Jeevana Priya Inala; Todd Mytkowicz; Bo Wang; Jianfeng Gao 001; Nan Duan (EMNLP (Findings), 2022)

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. - Junjie Huang 008; Wanjun Zhong; Qian Liu 012; Ming Gong 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2022)

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. - Wanjun Zhong; Junjie Huang 008; Qian Liu 012; Ming Zhou 001; Jiahai Wang; Jian Yin 001; Nan Duan (IJCAI, 2022)

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. - Wanjun Zhong; Junjie Huang 008; Qian Liu 012; Ming Zhou 001; Jiahai Wang; Jian Yin 001; Nan Duan (CoRR, 2022)

Execution-based Evaluation for Data Science Code Generation Models. - Junjie Huang 008; Chenglong Wang; Jipeng Zhang; Cong Yan; Haotian Cui; Jeevana Priya Inala; Colin B. Clement; Nan Duan; Jianfeng Gao 001 (CoRR, 2022)

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. - He Zhu; Chong Zhang; Junjie Huang 008; Junran Wu; Ke Xu 001 (ACL (1), 2023)

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. - Jinyang Liu 002; Zhihan Jiang; Jiazhen Gu; Junjie Huang 008; Zhuangbin Chen; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ASE, 2023)

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. - Jinyang Liu 002; Junjie Huang 008; Yintong Huo; Zhihan Jiang; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Minzhi Yan; Michael R. Lyu (CoRR, 2023)

A Large-scale Benchmark for Log Parsing. - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (CoRR, 2023)

LLMParser: A LLM-based Log Parsing Framework. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (CoRR, 2023)

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. - Junjie Huang 008; Jinyang Liu 002; Zhuangbin Chen; Zhihan Jiang; Yichen Li 003; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ICSE-SEIP, 2024)

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. - Jinxi Kuang; Jinyang Liu 002; Junjie Huang 008; Renyi Zhong; Jiazhen Gu; Lan Yu; Rui Tan 006; Zengyin Yang; Michael R. Lyu (ICSE-SEIP, 2024)

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. - Junjie Huang 008; Zhihan Jiang; Jinyang Liu 002; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Hui Dong; Zengyin Yang; Michael R. Lyu (ISSRE, 2024)

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (ISSTA, 2024)

Contextualized Data-Wrangling Code Generation in Computational Notebooks. - Junjie Huang 008; Daya Guo; Chenglong Wang; Jiazhen Gu; Shuai Lu; Jeevana Priya Inala; Cong Yan; Jianfeng Gao 001; Nan Duan; Michael R. Lyu (ASE, 2024)

ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. - Junjie Huang 008; Zhihan Jiang; Zhuangbin Chen; Michael R. Lyu (CoRR, 2024)

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Go Static: Contextualized Logging Statement Generation. - Yichen Li 003; Yintong Huo; Renyi Zhong; Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Jiazhen Gu; Pinjia He; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Guangba Yu; Zhuangbin Chen; Yichen Li 003; Renyi Zhong; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

No More Labelled Examples? An Unsupervised Log Parser with LLMs. - Junjie Huang 008; Zhihan Jiang; Zhuangbin Chen; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Zhuangbin Chen; Yichen Li 003; Guangba Yu; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (CoRR, 2025)

Hierarchical Prediction-based Management for LMaaS Systems. - Zhihan Jiang; Yujie Huang; Guangba Yu; Junjie Huang 008; Jiazhen Gu; Michael R. Lyu (CoRR, 2025)