Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study. - Yuchi Ma; Chunyan Qu; Tingting Liu; Ning Yang 001; Changjie Tang (WAIM Workshops, 2011)

Predicting Neighbor Distribution in Heterogeneous Information Networks. - Yuchi Ma; Ning Yang 001; Chuan Li 002; Lei Zhang 005; Philip S. Yu (SDM, 2015)

Explicable Location Prediction Based on Preference Tensor Model. - Duoduo Zhang; Ning Yang 001; Yuchi Ma (WAIM (1), 2016)

Spatial and semantical label inference for social media - A cross-network data fusion approach. - Yuchi Ma; Ning Yang 001; Lei Zhang 005; Philip S. Yu (Knowl. Inf. Syst., 2017)

Predicting neighbor label distributions in dynamic heterogeneous information networks. - Yuchi Ma; Ning Yang 001; Lei Zhang 005; Philip S. Yu (World Wide Web, 2017)

Towards Uniform Point Density: Evaluation of an Adaptive Terrestrial Laser Scanner. - Qinghua Li; Yuchi Ma; John Anderson 002; James Curry; Jie Shan (Remote. Sens., 2019)

Moving Object Detection and Tracking with Doppler LiDAR. - Yuchi Ma; John Anderson 002; Stephen Crouch; Jie Shan (Remote. Sens., 2019)

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning. - Luwei Feng; Zhou Zhang 001; Yuchi Ma; Qingyun Du; Parker Williams; Jessica L. Drewry; Brian D. Luck (Remote. Sens., 2020)

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning. - Chen Sun; Luwei Feng; Zhou Zhang 001; Yuchi Ma; Trevor Crosby; Mack Naber; Yi Wang (Sensors, 2020)

A meta-feature based unified framework for both cold-start and warm-start explainable recommendations. - Ning Yang 001; Yuchi Ma; Li Chen; Philip S. Yu (World Wide Web, 2020)

An adaptive adversarial domain adaptation approach for corn yield prediction. - Yuchi Ma; Zhou Zhang 001; Hsiuhan Lexie Yang; Zhengwei Yang (Comput. Electron. Agric., 2021)

A new attention-based CNN approach for crop mapping using time series Sentinel-2 images. - Yumiao Wang; Zhou Zhang 001; Luwei Feng; Yuchi Ma; Qingyun Du (Comput. Electron. Agric., 2021)

Logistics cost control in food processing enterprises based on TD-ABC. - Xiaokun Wang; Tingxue Du; Yuchi Ma; Miao Yu (J. Comput. Methods Sci. Eng., 2021)

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)

Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression. - Zeyu Cao; Yuchi Ma; Zhou Zhang 001 (CoRR, 2022)

Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images. - Luwei Feng; Zhou Zhang 001; Yuchi Ma; Yazhou Sun; Qingyun Du; Parker Williams; Jessica L. Drewry; Brian D. Luck (IEEE Geosci. Remote. Sens. Lett., 2022)

A Bayesian Domain Adversarial Neural Network for Corn Yield Prediction. - Yuchi Ma; Zhou Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield. - Shuo Chen; Weihang Liu; Puyu Feng; Tao Ye; Yuchi Ma; Zhou Zhang 001 (Remote. Sens., 2022)

Flame: A Centralized Cache Controller for Serverless Computing. - Yanan Yang; Laiping Zhao; Yiming Li; Shihao Wu; Yuechan Hao; Yuchi Ma; Keqiu Li (ASPLOS (4), 2023)

Robust Log-Based Anomaly Detection with Hierarchical Contrastive Learning. - Yuhui Zhao; Ruichun Yang; Ning Yang; Tao Lin; Qiuai Fu; Yuchi Ma (ICASSP, 2023)

Hue: A User-Adaptive Parser for Hybrid Logs. - Junjielong Xu; Qiuai Fu; Zhouruixing Zhu; Yutong Cheng; Zhijing Li 007; Yuchi Ma; Pinjia He (ESEC/SIGSOFT FSE, 2023)

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. - Gengchen Mai; Ni Lao; Weiwei Sun; Yuchi Ma; Jiaming Song; Chenlin Meng; Hongxu Ma; Jinmeng Rao; Ziyuan Li; Stefano Ermon (CoRR, 2023)

Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction. - Yuchi Ma; Zhengwei Yang; Zhou Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach. - Yuchi Ma; Zhengwei Yang; Qunying Huang; Zhou Zhang 001 (Remote. Sens., 2023)

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. - Hao Yu; Bo Shen; Dezhi Ran; Jiaxin Zhang 029; Qi Zhang 020; Yuchi Ma; Guangtai Liang; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ICSE, 2024)

Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection. - Boxi Yu; Jiayi Yao; Qiuai Fu; Zhiqing Zhong; Haotian Xie; Yaoliang Wu; Yuchi Ma; Pinjia He (ICSE, 2024)

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. - Lianghong Guo; Yanlin Wang 001; Ensheng Shi; Wanjun Zhong; Hongyu Zhang 002; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng (ISSTA, 2024)

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. - Fang Liu 032; Zhenwei Liu; Qianhui Zhao; Jing Jiang 005; Li Zhang 029; Zian Sun; Ge Li 001; Zhongqi Li; Yuchi Ma (ASE, 2024)

MRCA: Metric-level Root Cause Analysis for Microservices via Multi-Modal Data. - Yidan Wang; Zhouruixing Zhu; Qiuai Fu; Yuchi Ma; Pinjia He (ASE, 2024)

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data. - Shenglin Zhang; Jun Zhu; Bowen Hao; Yongqian Sun; Xiaohui Nie; Jingwen Zhu; Xilin Liu; Xiaoqian Li; Yuchi Ma; Dan Pei (SIGSOFT FSE Companion, 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)

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Ruikai Zhang; Yuchi Ma; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

RLCoder: Reinforcement Learning for Repository-Level Code Completion. - Yanlin Wang 001; Daya Guo; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng (CoRR, 2024)

Iterative Knowledge Distillation through Feedback-Driven Learning Cycles. - Yujia Chen; Yang Ye; Zhongqi Li; Yuchi Ma; Cuiyun Gao (CoRR, 2024)

RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation. - Yanli Wang; Yanlin Wang 001; Suiquan Wang; Daya Guo; Jiachi Chen; John C. Grundy; Xilin Liu; Yuchi Ma; Mingzhi Mao; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

On Efficient Large Sparse Matrix Chain Multiplication. - Chunxu Lin; Wensheng Luo 002; Yixiang Fang; Chenhao Ma 001; Xilin Liu; Yuchi Ma (Proc. ACM Manag. Data, 2024)

Revisiting Log Parsing: The Present, the Future, and the Uncertainties. - Zhijing Li 007; Qiuai Fu; Zhijun Huang; Jianbo Yu; Yiqian Li; Yuanhao Lai; Yuchi Ma (IEEE Trans. Reliab., 2024)

RLCoder: Reinforcement Learning for Repository-Level Code Completion. - Yanlin Wang 001; Yanli Wang; Daya Guo; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng (ICSE, 2025)

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Ruikai Zhang; Yuchi Ma; Hongyu Zhang 002; Zibin Zheng (ICSE, 2025)

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware. - Yujia Chen; Mingyu Chen; Cuiyun Gao; Zhihan Jiang; Zhongqi Li; Yuchi Ma (SIGSOFT FSE Companion, 2025)

Smaller but Better: Self-Paced Knowledge Distillation for Lightweight yet Effective LCMs. - Yujia Chen; Yang Ye; Zhongqi Li; Yuchi Ma; Cuiyun Gao 001 (Proc. ACM Softw. Eng., 2025)

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution. - Lianghong Guo; Wei Tao 003; Runhan Jiang; Yanlin Wang 001; Jiachi Chen; Xilin Liu; Yuchi Ma; Mingzhi Mao; Hongyu Zhang 002; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models. - Yanlin Wang 001; Tianyue Jiang; Mingwei Liu 002; Jiachi Chen; Mingzhi Mao; Xilin Liu; Yuchi Ma; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation. - Ziyao Zhang; Chong Wang 013; Yanlin Wang 001; Ensheng Shi; Yuchi Ma; Wanjun Zhong; Jiachi Chen; Mingzhi Mao; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation. - Shu Wang; Yixiang Fang; Yingli Zhou; Xilin Liu; Yuchi Ma (CoRR, 2025)

In-depth Analysis of Graph-based RAG in a Unified Framework. - Yingli Zhou; Yaodong Su; Youran Sun; Shu Wang; Taotao Wang; Runyuan He; Yongwei Zhang; Sicong Liang; Xilin Liu; Yuchi Ma; Yixiang Fang (CoRR, 2025)

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond. - Wenchao Gu; Juntao Chen; Yanlin Wang 001; Tianyue Jiang; Xingzhe Li; Mingwei Liu 002; Xilin Liu; Yuchi Ma; Zibin Zheng (CoRR, 2025)

Towards an Understanding of Context Utilization in Code Intelligence. - Yanlin Wang 001; Kefeng Duan; Dewu Zheng; Ensheng Shi; Fengji Zhang; Yanli Wang; Jiachi Chen; Xilin Liu; Yuchi Ma; Hongyu Zhang 002; Qianxiang Wang; Zibin Zheng (CoRR, 2025)

Agents in software engineering: survey, landscape, and vision. - Yanlin Wang 001; Wanjun Zhong; Yanxian Huang; Ensheng Shi; Min Yang 002; Jiachi Chen; Hui Li 057; Yuchi Ma; Qianxiang Wang; Zibin Zheng (Autom. Softw. Eng., 2025)