Chang Yao

According to our database, Chang Yao authored at least 43 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

CoRR, September, 2025

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

Proc. VLDB Endow., August, 2025

CoLA: Model Collaboration for Log-based Anomaly Detection.

Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, Chang Yao, Quanqing Xu, Gang Chen

Proc. VLDB Endow., July, 2025

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

CoRR, July, 2025

A Quantum Framework for Combinatorial Optimization Problem over Graphs.

Meng Shi, Sai Wu, Ying Li, Gongsheng Yuan, Chang Yao, Gang Chen

Data Sci. Eng., June, 2025

GUIRoboTron-Speech: Towards Automated GUI Agents Based on Speech Instructions.

Wenkang Han, Zhixiong Zeng, Jing Huang, Shu Jiang, Liming Zheng, Longrong Yang, Haibo Qiu, Chang Yao, Jingyuan Chen, Lin Ma

CoRR, June, 2025

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

CoRR, May, 2025

Boosting GNN-Based Link Prediction via PU-AUC Optimization.

Yuren Mao, Yu Hao, Xin Cao, Yunjun Gao, Chang Yao, Xuemin Lin

IEEE Trans. Knowl. Data Eng., April, 2025

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO.

Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song

CoRR, March, 2025

Towards Robust Incremental Learning Under Ambiguous Supervision.

Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao

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.

Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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, 2025

CoLA: Collaborative Low-Rank Adaptation.

Yiyun Zhou, Chang Yao, Jingyuan Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality.

Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

T²DR: 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

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.

Guoyan Liang, Qin Zhou, Zhe Wang, Jingyuan Chen, Lin Gu, Chang Yao, Sai Wu, Bingcang Huang, Kai Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Proc. VLDB Endow., October, 2024

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 Trans. Audio Speech Lang. Process., 2024

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

CoRR, 2024

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

Qiushi Zheng, Zhanhao Zhao, Wei Lu, Chang Yao, Yuxing Chen, Anqun Pan, Xiaoyong Du

CoRR, 2024

Quantum Storage Design for Tables in RDBMS.

Tuodu Li, Gongsheng Yuan, Chang Yao, Meng Shi, Ziyue Wang, Ling Qian, Jiaheng Lu

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Improved Regret for Bandit Convex Optimization with Delayed Feedback.

Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedPAM: Federated Personalized Augmentation Model for Text-to-Image Retrieval.

Yueying Feng, Fan Ma, Wang Lin, Chang Yao, Jingyuan Chen, Yi Yang

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

CoMAL: Contrastive Active Learning for Multi-Label Text Classification.

Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen

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.

Guoyan Liang, Qin Zhou, Jingyuan Chen, Zhe Wang, Chang Yao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Non-stationary Online Convex Optimization with Arbitrary Delays.

Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, 2024

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, 2024

MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning.

Zhenlong Dai, Chang Yao, WenKang Han, Yuanying Yuanying, Zhipeng Gao, Jingyuan Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

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.

Yingying Jiao, Haipeng Chen, Chang Yao, Pengxiang Su, Chong Fu, Xiang Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

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, 2022

SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT.

Ling-Ze Meng, Chang Yao, Meihui Zhang, Zhongle Xie

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2020

Malware Detection by Exploiting Deep Learning over Binary Programs.

Panpan Qi, Zhaoqi Zhang, Wei Wang, Chang Yao

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Scaling distributed transaction processing and recovery based on dependency logging.

Chang Yao, Meihui Zhang, Qian Lin, Beng Chin Ooi, Jiatao Xu

VLDB J., 2018

2016

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 Trans. Knowl. Data Eng., 2016

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 2016 International Conference on Management of Data, 2016

2015

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 Rec., 2015

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

Chang Yao, Divyakant Agrawal, Pengfei Chang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Meihui Zhang

CoRR, 2015

Adaptive Logging for Distributed In-memory Databases.

Chang Yao, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Sai Wu

CoRR, 2015