Chang Yao

Orcid: 0000-0002-1187-6257

Affiliations:
  • Zhejiang University, School of Software Technology, Institute of Blockchain and Data Security, Hangzhou, China
  • National University of Singapore, Department of Computer Science, Singapore (PhD 2017)


According to our database1, Chang Yao authored at least 56 papers between 2015 and 2026.

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Timeline

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Bibliography

2026
Unsupervised Brain Anomaly Detection Using Structure-Preserving Noise Generation and Multi-Scale Dual-Expert Ensembles.
IEEE J. Biomed. Health Informatics, June, 2026

A<sub>3</sub>B<sub>2</sub>: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning.
CoRR, May, 2026

OMCR: An Online Multivariate Forecaster for Cloud Resource Management.
IEEE Trans. Knowl. Data Eng., January, 2026

Bridge-SQL: Bridging Single- and Multi-Turn Text-to-SQL via Preference-Aligned Question Rewriting.
Proceedings of the Database Systems for Advanced Applications, 2026

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code.
Proc. VLDB Endow., August, 2025

CoLA: Model Collaboration for Log-based Anomaly Detection.
Proc. VLDB Endow., July, 2025

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration.
CoRR, July, 2025

A Quantum Framework for Combinatorial Optimization Problem over Graphs.
Data Sci. Eng., June, 2025

GUIRoboTron-Speech: Towards Automated GUI Agents Based on Speech Instructions.
CoRR, June, 2025

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer.
CoRR, May, 2025

Boosting GNN-Based Link Prediction via PU-AUC Optimization.
IEEE Trans. Knowl. Data Eng., April, 2025

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO.
CoRR, March, 2025

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Towards Robust Incremental Learning Under Ambiguous Supervision.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Revisiting Differentially Private Algorithms for Decentralized Online Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Towards Reverse Engineering of Language Models: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CoLA: Collaborative Low-Rank Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

T²DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes.
Proc. VLDB Endow., October, 2024

Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning.
CoRR, 2024

Lion: Minimizing Distributed Transactions through Adaptive Replica Provision (Extended Version).
CoRR, 2024

Quantum Storage Design for Tables in RDBMS.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Improved Regret for Bandit Convex Optimization with Delayed Feedback.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

E<sup>3</sup>: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FedPAM: Federated Personalized Augmentation Model for Text-to-Image Retrieval.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

CoMAL: Contrastive Active Learning for Multi-Label Text Classification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Non-stationary Online Convex Optimization with Arbitrary Delays.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lion: Minimizing Distributed Transactions Through Adaptive Replica Provision.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Improved Projection-free Online Continuous Submodular Maximization.
CoRR, 2023

Quantum Computing for Databases: A Short Survey and Vision.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022
Spatial-Temporal Correlation Modeling for Motion Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2020
Malware Detection by Exploiting Deep Learning over Binary Programs.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Scaling distributed transaction processing and recovery based on dependency logging.
VLDB J., 2018

2016
Exploiting Single-Threaded Model in Multi-Core In-Memory Systems.
IEEE Trans. Knowl. Data Eng., 2016

Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
In-memory Databases: Challenges and Opportunities From Software and Hardware Perspectives.
SIGMOD Rec., 2015

DGCC: A New Dependency Graph based Concurrency Control Protocol for Multicore Database Systems.
CoRR, 2015

Adaptive Logging for Distributed In-memory Databases.
CoRR, 2015


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