个人简介
姚畅, 博士, 浙江大学软件学院“百人计划”研究员, 博士生导师. 主要研究兴趣为分布式系统、医学领域大模型及人工智能应用，作为项目负责人主持国家自然科学基金和浙江省重点研发项目，作为核心骨干参与多项国家重点研发项目和省级重点研发项目，在国际顶级会议或期刊发表论文60余篇。
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代表性论文
* 通讯作者 # 指导学生
会议论文
2026
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[42] A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning
Yiyun Zhou, Zhonghua Jiang, Wenkang Han#, Kunxi Li, Mingjing Xu, Chang Yao, Jingyuan Chen
The 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026 -
[41] Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning
Qin Zhou, Guoyan Liang#, Qianyi Yang#, Jingyuan Chen, Sai Wu, Chang Yao*, Zhe Wang
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026 -
[40] QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement
Zhensheng Luo, Sai Wu, Yuan Qiu, Chang Yao, Gang Chen, Xiu Tang
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026 -
[C39] Bridge-SQL: Bridging Single- and Multi-Turn Text-to-SQL via Preference-Aligned Question Rewriting
Xuhang Zhu, Xiu Tang, Sai Wu, Yixuan Tang, Haobo Wang, Chang Yao, Ruichen Xia, Gang Chen
31st International Conference on Database Systems for Advanced Applications (DASFAA), 2026 -
[C38] Causal-Steer: Disentangled Continuous Style Control without Parallel Corpora
Qingsong Wang#, Chang Yao, Jingyuan Chen
The Fourteenth International Conference on Learning Representations (ICLR), 2026 -
[C37] Debugging Engine Enhanced by Prior Knowledge: Can We Teach LLM How to Debug?
Kunyi Li, Sai Wu, Xiu Tang, Chang Yao, Songhao Bu, Quanqing Xu, Gang Chen
The ACM International Conference on the Foundations of Software Engineering (FSE), 2026 -
[C36] Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
Zhenlong Dai#, Zhuoluo Zhao#, Hengning Wang, Xiu Tang, Sai Wu, Chang Yao*, Zhipeng Gao, Jingyuan Chen
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
2025
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[C35] SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
Hanwen Liu, Longjiao Zhang, Rui Wang, Tongya Zheng, Sai Wu, Chang Yao, Mingli Song
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 -
[C34] Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation
Qingsong Wang#, Tao Wu, Wang Lin, Yueying Feng#, Gongsheng Yuan, Chang Yao, Jingyuan Chen
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP-Findinds), 2025 -
[C33] Towards Reverse Engineering of Language Models: A Survey
Xinpeng Ti, Wentao Ye, Zhifang Zhang, Junbo Zhao, Chang Yao, Lei Feng, Haobo Wang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP-Findinds), 2025 -
[C32] Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration
WenKang Han#, Wang Lin, Yiyun Zhou, Qi Liu#, Shulei Wang, Chang Yao, Jingyuan Chen
The 33rd ACM International Conference on Multimedia (MM), 2025 -
[C31] Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
Qin Zhou, Guoyan Liang#, Xindi Li#, Jingyuan Chen, Zhe Wang, Chang Yao*, Sai Wu
International Conference on Computer Vision (ICCV), 2025 -
[C30] Boosting MLLM Reasoning with Text-Debiased Hint-GRPO
Qihan Huang, Weilong Dai, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song
International Conference on Computer Vision (ICCV), 2025 -
[C29] CoLA: Collaborative Low-Rank Adaptation
Yiyun Zhou, Chang Yao, Jingyuan Chen
Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2025 -
[C28] Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation
Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen
Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2025 -
[C27] T^2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning
Han Lin, Xiu Tang, Huan Li, Wenxue Cao, Sai Wu, Chang Yao, Lidan Shou, Gang Chen
Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2025 -
[C26] Revisiting Differentially Private Algorithms for Decentralized Online Learning
Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, Yuanyu Wan
Forty-second International Conference on Machine Learning (ICML), 2025 -
[C25] CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq
Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025 -
[C24] Towards Robust Incremental Learning under Ambiguous Supervision
Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao*
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025 -
[C23] Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
Wenkang Han#, Wang Lin, Liya Hu, Zhenlong Dai#, Yiyun Zhou, Mengze Li, Zemin Liu, Chang Yao, Jingyuan Chen
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025 -
[C22] Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders
Wang Lin, QingSong Wang#, Yueying Feng#, Shulei Wang, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 -
[C21] Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
Guoyan Liang#, Qin Zhou, Zhe Wang, Jingyuan Chen, Lin Gu, Chang Yao*, Sai Wu, Bingcang Huang, Kai Chen
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025 -
[C20] Less is More: Adaptive Program Repair with Bug Localization and Preference Learning
Zhenlong Dai#, Bingrui Chen, Zhuoluo Zhao#, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025 -
[C19] CoLA: Model Collaboration for Log-based Anomaly Detection
Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, Chang Yao, Quanqing Xu, Gang Chen
51st International Conference on Very Large Data Bases (VLDB), 2025 -
[C18] A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code
Wenhao Liu, Xiu Tang, Sai Wu, Chang Yao, Gongsheng Yuan, Gang Chen
51st International Conference on Very Large Data Bases (VLDB), 2025 -
[C17] QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes
Xiu Tang, Wenhao Liu, Sai Wu, Chang Yao*, Gongsheng Yuan, Shanshan Ying, Gang Chen
51st International Conference on Very Large Data Bases (VLDB), 2025
2024
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[C16] E3: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
Wang Lin, Yueying Feng#, WenKang Han#, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS) 2024 -
[C15] Improved Regret for Bandit Convex Optimization with Delayed Feedback
Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS) 2024 -
[C14] CoMAL: Contrastive Active Learning for Multi-Label Text Classification
Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen
30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 -
[C13] MPCoder:Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning
Zhenlong Dai#, Chang Yao, Wenkang Han#, Ying Yuan, Zhipeng Gao, Jingyuan Chen
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024 -
[C12] Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang
Forty-first International Conference on Machine Learning (ICML), 2024 -
[C11] Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
Guoyan Liang#, Qin Zhou, Jingyuan Chen, Zhe Wang*, Chang Yao*
The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024 -
[C10] FedPAM: Federated Personalized Augmentation Model for Text-to-Image Retrieval
Yueying Feng#, Fan Ma, Wang Lin, Chang Yao, Jingyuan Chen, Yi Yang
The 14th International Conference on Multimedia Retrieval (ICMR), 2024 -
[C9] Lion:Minimizing Distributed Transactions through Adaptive Replica Provision
Qiushi Zheng, Zhanhao Zhao, Wei Lu, Chang Yao, Yuxing Chen, Anqun Pan, Xiaoyong Du
Proceedings of the 40th IEEE International Conference on Data Engineering (ICDE), 2024 -
[C8] Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao*, Gang Chen, Junbo Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 -
[C7] Quantum Storage Design for Tables in RDBMS
Tuodu Li, Gongsheng Yuan*, Chang Yao*, Meng Shi, Ziyue Wang, Ling Qian, Jiaheng Lu
VLDB 2024 Workshop: The Second International Workshop on Quantum Data Science and Management (QDSM’24).
2023 and Before
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[C6] Quantum Computing for Databases: A Short Survey and Vision
Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen
VLDB 2023 Workshop: International Workshop on Quantum Data Science and Management (QDSM’23) -
[C5] SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT
Lingze Zeng, Chang Yao*, Meihui Zhang, Zhongle Xie
APWeb-WAIM, 2023 -
[C4] Spatial-temporal correlation modeling for motion prediction
Yingying Jiao, Haipeng Chen, Chang Yao, Pengxiang Su, Chong Fu, Xiang Wang
IEEE International Conference on Multimedia and Expo (ICME), 2022 -
[C3] ELDA: Learning explicit dual-interactions for healthcare analytics
Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao
Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE), 2022 -
[C2] Malware Detection by Exploiting Deep Learning over Binary Programs
Panpan Qi, Zhaoqi Zhang, Wei Wang, Chang Yao
International Conference on Pattern Recognition(ICPR), 2020 -
[C1] Adaptive logging: Optimizing logging and recovery costs in distributed in-memory databases
Chang Yao, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Sai Wu
Proceedings of the ACM International Conference on Management of Data (SIGMOD), 2016
期刊论文
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[J10] Unsupervised Brain Anomaly Detection Using Structure-Preserving Noise Generation and Multi-Scale Dual-Expert Ensembles
Qianyi Yang#, Bingcang Huang, Qin Zhou, Zhe Wang, Kai Chen, Xiu Tang, Chang Yao, Sai Wu
IEEE Journal of Biomedical and Health Informatics（JBHI), 2025 -
[J9] OMCR: An Online Multivariate Forecaster for Cloud Resource Management
Xu Gao, Xiu Tang*, Chang Yao*, Sai Wu, Gongsheng Yuan, Wenchao Zhou, Feifei Li, Gang Chen.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 -
[J8] JIT编译技术在数据库系统中的若干研究
袁巩生, 杜晨路, 朱阅岸, 陈育兴, 唐秀, 姚畅, 陈刚
《软件学报》, 2025 -
[J7] 医学大模型与多模态数据融合在智慧医疗中的机会、挑战与实践
姚畅, 王贵宣, 相鹏, 陈刚
《中国卫生信息管理杂志》, 2025 -
[J6] A Quantum Framework for Combinatorial Optimization Problem over Graphs
Meng Shi, Sai Wu, Ying Li, Gongsheng Yuan, Chang Yao, Gang Chen
Data Science and Engineering (DSE), 2025 -
[J5] Boosting GNN-based Link Prediction via PU-AUC Optimization
Yuren Mao, Yu Hao, Xin Cao, Yunjun Gao*, Chang Yao*, Xuemin Lin
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 -
[J4] Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification
Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao*
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2024 -
[J3] Scaling distributed transaction processing and recovery based on dependency logging
Chang Yao, Meihui Zhang, Qian Lin, Beng Chin Ooi, Jiatao Xu
The VLDB Journal (VLDBJ), 2018 -
[J2] Exploiting single-threaded model in multi-core in-memory systems
Chang Yao, Divyakant Agrawal, Gang Chen, Qian Lin, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016 -
[J1] In-memory databases: Challenges and opportunities from software and hardware perspectives
Kian-Lee Tan, Qingchao Cai, Beng Chin Ooi, Weng-Fai Wong, Chang Yao, Hao Zhang
SIGMOD Record, 2015
学术服务与兼职
会议审稿:
- Annual Meeting of the Association for Computational Linguistics (ACL): 2025(Area Chair), 2026
- ACM International Conference on Multimedia (MM): 2025, 2026
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): 2025, 2026
- Annual Conference on Neural Information Processing Systems (NeurIPS): 2025, 2026
- International Conference on Computer Vision (ICCV): 2025
- The Conference on Information and Knowledge Management (CIKM): 2025
- Winter Conference on Applications of Computer Vision (WACV): 2026
- International Conference on Learning Representations (ICLR): 2026
- International Conference on Machine Learning (ICML): 2026
- International Joint Conference on Artificial Intelligence (IJCAI): 2026
期刊审稿:
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- Journal of Medical Internet Research, Aging (JMIR Aging)
学术兼职:
- 中国卫生信息与健康医疗大数据学会, 人工智能创新应用转化分会, 委员
- 浙江数字经济学会, 数智医疗专业委员会, 副主任委员
- 浙江省数字经济百人会, 委员
- 浙江省医院协会, 医院标准化专业委员会, 委员
- 浙江省预防医学会, 数智健康专业委员会, 委员
- 浙江省妇幼健康协会, 辅助生殖与生殖健康促进专业委员会, 委员
教学与交流
开设课程
- 高级数据库技术, 专业选修课, 32课时（2023年秋, 2024年秋, 2025年秋）
- 医学人工智能关键技术及前沿应用, 专业选修课, 32课时（2023年冬, 2024年冬, 2025年冬）
部分公开课及学术报告
- 《AI大模型如何破局智慧医疗》, 浙江大学DeepSeek系列专题线上公开课, 2025年3月31日
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