Yuchi Ma

Orcid: 0009-0002-3304-1389

According to our database1, Yuchi Ma authored at least 49 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Agents in software engineering: survey, landscape, and vision.
Autom. Softw. Eng., November, 2025

Towards an Understanding of Context Utilization in Code Intelligence.
CoRR, April, 2025

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond.
CoRR, March, 2025

In-depth Analysis of Graph-based RAG in a Unified Framework.
CoRR, March, 2025

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation.
CoRR, February, 2025

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
Proc. ACM Softw. Eng., 2025

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
Proc. ACM Softw. Eng., 2025

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution.
Proc. ACM Softw. Eng., 2025

Smaller but Better: Self-Paced Knowledge Distillation for Lightweight yet Effective LCMs.
Proc. ACM Softw. Eng., 2025

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

RLCoder: Reinforcement Learning for Repository-Level Code Completion.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Revisiting Log Parsing: The Present, the Future, and the Uncertainties.
IEEE Trans. Reliab., September, 2024

On Efficient Large Sparse Matrix Chain Multiplication.
Proc. ACM Manag. Data, 2024

RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation.
CoRR, 2024

Iterative Knowledge Distillation through Feedback-Driven Learning Cycles.
CoRR, 2024

RLCoder: Reinforcement Learning for Repository-Level Code Completion.
CoRR, 2024

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond.
CoRR, 2024

CodeR: Issue Resolving with Multi-Agent and Task Graphs.
CoRR, 2024

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

MRCA: Metric-level Root Cause Analysis for Microservices via Multi-Modal Data.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach.
Remote. Sens., September, 2023

Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction.
IEEE Trans. Geosci. Remote. Sens., 2023

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution.
CoRR, 2023

Hue: A User-Adaptive Parser for Hybrid Logs.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Robust Log-Based Anomaly Detection with Hierarchical Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Flame: A Centralized Cache Controller for Serverless Computing.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield.
Remote. Sens., 2022

A Bayesian Domain Adversarial Neural Network for Corn Yield Prediction.
IEEE Geosci. Remote. Sens. Lett., 2022

Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression.
CoRR, 2022

PanGu-Coder: Program Synthesis with Function-Level Language Modeling.
CoRR, 2022

2021
Logistics cost control in food processing enterprises based on TD-ABC.
J. Comput. Methods Sci. Eng., 2021

A new attention-based CNN approach for crop mapping using time series Sentinel-2 images.
Comput. Electron. Agric., 2021

An adaptive adversarial domain adaptation approach for corn yield prediction.
Comput. Electron. Agric., 2021

2020
A meta-feature based unified framework for both cold-start and warm-start explainable recommendations.
World Wide Web, 2020

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
Sensors, 2020

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning.
Remote. Sens., 2020

2019
Moving Object Detection and Tracking with Doppler LiDAR.
Remote. Sens., 2019

Towards Uniform Point Density: Evaluation of an Adaptive Terrestrial Laser Scanner.
Remote. Sens., 2019

2017
Predicting neighbor label distributions in dynamic heterogeneous information networks.
World Wide Web, 2017

Spatial and semantical label inference for social media - A cross-network data fusion approach.
Knowl. Inf. Syst., 2017

2016
Explicable Location Prediction Based on Preference Tensor Model.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

2015
Predicting Neighbor Distribution in Heterogeneous Information Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2011
Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study.
Proceedings of the Web-Age Information Management, 2011


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