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Yao Zhang 0009
Person information
- affiliation: Fudan University, School of Computer Science, Shanghai, China
Other persons with the same name
- Yao Zhang — disambiguation page
- Yao Zhang 0001 — University of California, Davis, Department of Electrical and Computer Engineering, CA, USA
- Yao Zhang 0002 — Nanjing University, Jinlin College, China
- Yao Zhang 0003 — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
- Yao Zhang 0004 — Columbia University, Department of Earth and Environmental Engineering, New York, NY, USA (and 1 more)
- Yao Zhang 0005 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Yao Zhang 0006 — Northeastern University, School of Business Administration, Department of Operations and Logistics Management, Shenyang, China
- Yao Zhang 0007 — Queen Mary University of London, UK
- Yao Zhang 0008 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
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2020 – today
- 2024
- [j9]Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang:
DynamiSE: dynamic signed network embedding for link prediction. Mach. Learn. 113(7): 4037-4053 (2024) - [j8]Yi Xie, Yun Xiong, Xiaofeng Gao, Jiadong Chen, Yao Zhang, Xian Wu, Chao Chen:
LAMEE: a light all-MLP framework for time series prediction empowering recommendations. World Wide Web (WWW) 27(2): 13 (2024) - [c48]Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang:
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CIKM 2024: 301-311 - [c47]Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
ProCom: A Few-shot Targeted Community Detection Algorithm. KDD 2024: 3414-3424 - [c46]Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang:
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. KDD 2024: 4290-4301 - [c45]Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei:
Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. KDD 2024: 6049-6060 - [c44]Zian Jia, Yun Xiong, Yuhong Nan, Yao Zhang, Jinjing Zhao, Mi Wen:
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning. USENIX Security Symposium 2024 - [i17]Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang:
Prompt Learning on Temporal Interaction Graphs. CoRR abs/2402.06326 (2024) - [i16]Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang:
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. CoRR abs/2406.11891 (2024) - [i15]Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang:
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CoRR abs/2407.18523 (2024) - [i14]Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
ProCom: A Few-shot Targeted Community Detection Algorithm. CoRR abs/2408.07369 (2024) - 2023
- [j7]Yucheng Jin, Yun Xiong, Dan Shi, Yifei Lin, Lifang He, Yao Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang:
Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding. J. Am. Medical Informatics Assoc. 30(3): 438-446 (2023) - [j6]Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu:
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. Knowl. Inf. Syst. 65(11): 4687-4712 (2023) - [c43]Beichen Kang, Yao Zhang, Yun Xiong, Xing Jia, Jianbo Jiao, Ji Li:
Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation. BIBM 2023: 1202-1209 - [c42]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
Dual Intents Graph Modeling for User-centric Group Discovery. CIKM 2023: 2716-2725 - [c41]Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu:
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CIKM 2023: 3174-3183 - [c40]Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang:
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CIKM 2023: 3216-3225 - [c39]Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang:
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. DASFAA (4) 2023: 250-265 - [c38]Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu:
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) 2023: 266-275 - [c37]Mingxia Wang, Peng Tian, Yun Xiong, Jingwen Yue, Yao Zhang, Chunlei Tang:
MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs. DASFAA (2) 2023: 732-741 - [c36]Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang:
DynamiSE: Dynamic Signed Network Embedding for Link Prediction. DSAA 2023: 1-2 - [c35]Xing Jia, Yun Xiong, Yao Zhang, Li Luo:
Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation. ECAI 2023: 1140-1147 - [c34]Hao Niu, Yun Xiong, Xiaosu Wang, Wenjing Yu, Yao Zhang, Zhonglei Guo:
Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective. EMNLP (Findings) 2023: 1113-1126 - [c33]Hao Niu, Yun Xiong, Xiaosu Wang, Wenjing Yu, Yao Zhang, Weizu Yang:
KeFVP: Knowledge-enhanced Financial Volatility Prediction. EMNLP (Findings) 2023: 11499-11513 - [c32]Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li:
Explaining Temporal Graph Models through an Explorer-Navigator Framework. ICLR 2023 - [c31]Zejian Shi, Yun Xiong, Yao Zhang, Zhijie Jiang, Jinjing Zhao, Lei Wang, Shanshan Li:
Improving Code Search with Multi-Modal Momentum Contrastive Learning. ICPC 2023: 280-291 - [c30]Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye:
ReCo: A Dataset for Residential Community Layout Planning. ACM Multimedia 2023: 397-405 - [c29]Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong, Shanshan Li:
Automatic Code Annotation Generation Based on Heterogeneous Graph Structure. SANER 2023: 497-508 - [c28]Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu:
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. WSDM 2023: 904-912 - [c27]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW 2023: 240-250 - [c26]Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu:
TIGER: Temporal Interaction Graph Embedding with Restarts. WWW 2023: 478-488 - [d1]Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye:
ReCo:Residential Community Layout Planning Dataset. IEEE DataPort, 2023 - [i13]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR abs/2302.03555 (2023) - [i12]Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu:
TIGER: Temporal Interaction Graph Embedding with Restarts. CoRR abs/2302.06057 (2023) - [i11]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
Dual Intents Graph Modeling for User-centric Group Discovery. CoRR abs/2308.05013 (2023) - [i10]Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun:
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding. CoRR abs/2308.14129 (2023) - [i9]Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang:
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CoRR abs/2309.02012 (2023) - [i8]Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu:
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CoRR abs/2309.02025 (2023) - [i7]Zian Jia, Yun Xiong, Yuhong Nan, Yao Zhang, Jinjing Zhao, Mi Wen:
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning. CoRR abs/2310.09831 (2023) - 2022
- [j5]Yazhen Ye, Yao Zhang, Yangyong Zhu:
Exploring the form of big data products and the supporting systems. J. Big Data 9(1): 48 (2022) - [j4]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs. Knowl. Inf. Syst. 64(1): 235-260 (2022) - [j3]Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task attributed graphical lasso and its application in fund classification. World Wide Web 25(3): 1425-1446 (2022) - [c25]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu:
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. BIBM 2022: 1574-1579 - [c24]Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu:
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. CIKM 2022: 2651-2660 - [c23]Hao Niu, Yun Xiong, Jian Gao, Zhongchen Miao, Xiaosu Wang, Hongrun Ren, Yao Zhang, Yangyong Zhu:
Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification. COLING 2022: 6827-6836 - [c22]Zian Jia, Xiaosu Wang, Yun Xiong, Yao Zhang, Jinjing Zhao:
AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat. DSC 2022: 360-366 - [c21]Zejian Shi, Yun Xiong, Xiaolong Zhang, Yao Zhang, Shanshan Li, Yangyong Zhu:
Cross-Modal Contrastive Learning for Code Search. ICSME 2022: 94-105 - [c20]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu:
CLARE: A Semi-supervised Community Detection Algorithm. KDD 2022: 2059-2069 - [c19]Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu:
Triangle Graph Interest Network for Click-through Rate Prediction. WSDM 2022: 401-409 - [i6]Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu:
Triangle Graph Interest Network for Click-through Rate Prediction. CoRR abs/2202.02698 (2022) - [i5]Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye:
ReCo: A Dataset for Residential Community Layout Planning. CoRR abs/2206.04678 (2022) - [i4]Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu:
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. CoRR abs/2208.07211 (2022) - [i3]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu:
CLARE: A Semi-supervised Community Detection Algorithm. CoRR abs/2210.08274 (2022) - 2021
- [j2]Yao Zhang, Yun Xiong, Xiangnan Kong, Zhuang Niu, Yangyong Zhu:
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs. IEEE Trans. Knowl. Data Eng. 33(3): 1032-1044 (2021) - [c18]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang:
Radiology Report Generation for Rare Diseases via Few-shot Transformer. BIBM 2021: 1347-1352 - [c17]Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang, Yangyong Zhu:
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation. BIBM 2021: 1569-1574 - [c16]Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? CIKM 2021: 1619-1629 - [c15]Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu:
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM 2021: 2627-2636 - [c14]Yu Duan, Yun Xiong, Yao Zhang, Yuwei Fu, Yangyong Zhu:
HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval. ICMR 2021: 82-91 - [c13]Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li:
Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS 2021: 22523-22533 - [c12]Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu:
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. WSDM 2021: 788-796 - [i2]Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? CoRR abs/2108.07567 (2021) - 2020
- [j1]Yazhen Ye, Yao Zhang, Guohua Liu, Yangyong Zhu:
A measure based pricing framework for data products. Web Intell. 18(4): 249-260 (2020) - [c11]Tianyi Tao, Yun Xiong, Guosen Wang, Yao Zhang, Peng Tian, Yangyong Zhu:
IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking. APWeb/WAIM (1) 2020: 394-408 - [c10]Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task Attributed Graphical Lasso. APWeb/WAIM (1) 2020: 670-684 - [c9]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu:
Few-shot Radiology Report Generation for Rare Diseases. BIBM 2020: 601-608 - [c8]Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu:
CommDGI: Community Detection Oriented Deep Graph Infomax. CIKM 2020: 1843-1852 - [c7]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. ICDM 2020: 222-231 - [c6]Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu:
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD 2020: 1103-1113 - [i1]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. CoRR abs/2009.10273 (2020)
2010 – 2019
- 2019
- [c5]Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu:
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. DASFAA (1) 2019: 536-552 - [c4]Yao Zhang, Yun Xiong, Lu Ruan, Xiangnan Kong, Yangyong Zhu:
NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks. WI (Companion) 2019: 21-28 - 2017
- [c3]Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu:
Learning Node Embeddings in Interaction Graphs. CIKM 2017: 397-406 - [c2]Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong:
BiCycle: Item Recommendation with Life Cycles. ICDM 2017: 297-306 - [c1]Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu:
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. SDM 2017: 642-650
Coauthor Index
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last updated on 2024-12-11 20:45 CET by the dblp team
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