Zhaoyang Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
17
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Concise Math Reasoning via Difficulty-Aware Distillation. | Yifan Wu, Jingze Shi, Bingheng Wu, Jiayi Zhang, Xiaotian Lin, Yizhang Zhu, Zhaoyang Yu, Bang Liu, Chenglin Wu, Nan Tang, Yuyu Luo |
| 2025 | EMNLP | Self-Supervised Prompt Optimization. | Jinyu Xiang, Jiayi Zhang, Zhaoyang Yu, Xinbing Liang, Fengwei Teng, Jinhao Tu, Fashen Ren, Xiangru Tang, Sirui Hong, Chenglin Wu, Yuyu Luo |
| 2025 | ICLR | AFlow: Automating Agentic Workflow Generation. | Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu |
| 2024 | CCGRID | Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. | Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei |
| 2024 | IWQoS | Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient. | Guanglei He, Xiaohui Nie, Ruming Tang, Kun Wang, Zhaoyang Yu, Xidao Wen, Kanglin Yin, Dan Pei |
| 2024 | KDD | Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. | Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei |
| 2024 | WWW | Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems. | Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei |
| 2023 | DASFAA | Meta Pseudo Labels for Anomaly Detection via Partially Observed Anomalies. | Sinong Zhao, Zhaoyang Yu, Xiaofei Wang, Trent G. Marbach, Gang Wang, Xiaoguang Liu |
| 2023 | ISSRE | AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. | Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei |
| 2023 | Mobiquitous | RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing. | Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung |
| 2022 | ICDM | MSDN: A Multi-Subspace Deviation Net for Anomaly Detection. | Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Xiaoguang Liu |
| 2022 | ICSOC | DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. | Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung |
| 2022 | UIC | Interference-Aware Task Allocation with QoS Guarantee on Edge. | Wenwen Liu, Zhaoyang Yu, Gang Wang, Xiaoguang Liu |
| 2021 | ICDM | Attention-based Feature Interaction for Efficient Online Knowledge Distillation. | Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu |
| 2021 | IWQoS | Drag-JDEC: A Deep Reinforcement Learning and Graph Neural Network-based Job Dispatching Model in Edge Computing. | Zhaoyang Yu, Wenwen Liu, Xiaoguang Liu, Gang Wang |
| 2021 | NPC | A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm in MEC. | Wenwen Liu, Zhaoyang Yu, Meng Yan, Gang Wang, Xiaoguang Liu |
| 2020 | ICANN | Compressing Genomic Sequences by Using Deep Learning. | Wenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang, Xiaoguang Liu |
| 2018 | COMPSAC | Load Prediction for Data Centers Based on Database Service. | Rui Cao, Zhaoyang Yu, Trent G. Marbach, Jing Li, Gang Wang, Xiaoguang Liu |
| 2018 | ICPADS | A Survey of Consensus and Incentive Mechanism in Blockchain Derived from P2P. | Zhaoyang Yu, Xiaoguang Liu, Gang Wang |