Learning Node Embeddings in Interaction Graphs. - Yao Zhang 009; Yun Xiong; Xiangnan Kong; Yangyong Zhu (CIKM, 2017)

BiCycle: Item Recommendation with Life Cycles. - Xinyue Liu 003; Yuanfang Song; Charu C. Aggarwal; Yao Zhang 009; Xiangnan Kong (ICDM, 2017)

Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. - Yao Zhang 009; Yun Xiong; Xinyue Liu 003; Xiangnan Kong; Yangyong Zhu (SDM, 2017)

DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. - Yun Xiong; Yao Zhang 009; Hanjie Fu; Wei Wang 010; Yangyong Zhu; Philip S. Yu (DASFAA (1), 2019)

NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks. - Yao Zhang 009; Yun Xiong; Lu Ruan 002; Xiangnan Kong; Yangyong Zhu (WI (Companion), 2019)

IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking. - Tianyi Tao; Yun Xiong; Guosen Wang; Yao Zhang 009; Peng Tian; Yangyong Zhu (APWeb/WAIM (1), 2020)

Multi-task Attributed Graphical Lasso. - Yao Zhang 009; Yun Xiong; Xiangnan Kong; Xinyue Liu 003; Yangyong Zhu (APWeb/WAIM (1), 2020)

Few-shot Radiology Report Generation for Rare Diseases. - Xing Jia; Yun Xiong; Jiawei Zhang 001; Yao Zhang 009; Yangyong Zhu (BIBM, 2020)

CommDGI: Community Detection Oriented Deep Graph Infomax. - Tianqi Zhang; Yun Xiong; Jiawei Zhang 001; Yao Zhang 009; Yizhu Jiao; Yangyong Zhu (CIKM, 2020)

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. - Yizhu Jiao; Yun Xiong; Jiawei Zhang 001; Yao Zhang 009; Tianqi Zhang; Yangyong Zhu (ICDM, 2020)

SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. - Yao Zhang 009; Yun Xiong; Yun Ye; Tengfei Liu; Weiqiang Wang; Yangyong Zhu; Philip S. Yu (KDD, 2020)

A measure based pricing framework for data products. - Yazhen Ye; Yao Zhang 009; Guohua Liu; Yangyong Zhu (Web Intell., 2020)

Radiology Report Generation for Rare Diseases via Few-shot Transformer. - Xing Jia; Yun Xiong; Jiawei Zhang 001; Yao Zhang 009; Suzanne V. Blackley; Yangyong Zhu; Chunlei Tang (BIBM, 2021)

C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation. - Xiaosu Wang; Yun Xiong; Hao Niu; Yao Zhang 009; Yangyong Zhu (BIBM, 2021)

How Powerful is Graph Convolution for Recommendation? - Yifei Shen; Yongji Wu; Yao Zhang 009; Caihua Shan; Jun Zhang 004; Khaled B. Letaief; Dongsheng Li 002 (CIKM, 2021)

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. - Yao Zhang 009; Yun Xiong; Dongsheng Li 002; Caihua Shan; Kan Ren; Yangyong Zhu (CIKM, 2021)

HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval. - Yu Duan; Yun Xiong; Yao Zhang 009; Yuwei Fu; Yangyong Zhu (ICMR, 2021)

Reinforcement Learning Enhanced Explainer for Graph Neural Networks. - Caihua Shan; Yifei Shen; Yao Zhang 009; Xiang Li 067; Dongsheng Li 002 (NeurIPS, 2021)

AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. - Qingqin Wang; Yun Xiong; Yao Zhang 009; Jiawei Zhang 001; Yangyong Zhu (WSDM, 2021)

IGE+: A Framework for Learning Node Embeddings in Interaction Graphs. - Yao Zhang 009; Yun Xiong; Xiangnan Kong; Zhuang Niu; Yangyong Zhu (IEEE Trans. Knowl. Data Eng., 2021)

Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. - Xing Jia; Yun Xiong; Jiawei Zhang 001; Yao Zhang 009; Yangyong Zhu; Philip S. Yu (BIBM, 2022)

RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. - Yao Zhang 009; Yun Xiong; Yiheng Sun; Caihua Shan; Tian Lu; Hui Song; Yangyong Zhu (CIKM, 2022)

Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification. - Hao Niu; Yun Xiong; Jian Gao; Zhongchen Miao; Xiaosu Wang; Hongrun Ren; Yao Zhang 009; Yangyong Zhu (COLING, 2022)

AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat. - Zian Jia; Xiaosu Wang; Yun Xiong; Yao Zhang 009; Jinjing Zhao (DSC, 2022)

Cross-Modal Contrastive Learning for Code Search. - Zejian Shi; Yun Xiong; Xiaolong Zhang; Yao Zhang 009; Shanshan Li 001; Yangyong Zhu (ICSME, 2022)

CLARE: A Semi-supervised Community Detection Algorithm. - Xixi Wu; Yun Xiong; Yao Zhang 009; Yizhu Jiao; Caihua Shan; Yiheng Sun; Yangyong Zhu; Philip S. Yu (KDD, 2022)

Triangle Graph Interest Network for Click-through Rate Prediction. - Wensen Jiang; Yizhu Jiao; Qingqin Wang; Chuanming Liang; Lijie Guo; Yao Zhang 009; Zhijun Sun; Yun Xiong; Yangyong Zhu (WSDM, 2022)

Exploring the form of big data products and the supporting systems. - Yazhen Ye; Yao Zhang 009; Yangyong Zhu (J. Big Data, 2022)

Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs. - Yizhu Jiao; Yun Xiong; Jiawei Zhang 001; Yao Zhang 009; Tianqi Zhang; Yangyong Zhu (Knowl. Inf. Syst., 2022)

Multi-task attributed graphical lasso and its application in fund classification. - Yao Zhang 009; Sijia Peng; Yun Xiong; Xiangnan Kong; Xinyue Liu 003; Yangyong Zhu (World Wide Web, 2022)

Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation. - Beichen Kang; Yao Zhang 009; Yun Xiong; Xing Jia; Jianbo Jiao; Ji Li (BIBM, 2023)

Dual Intents Graph Modeling for User-centric Group Discovery. - Xixi Wu; Yun Xiong; Yao Zhang 009; Yizhu Jiao; Jiawei Zhang 001 (CIKM, 2023)

iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. - Siwei Zhang 001; Yun Xiong; Yao Zhang 009; Xixi Wu; Yiheng Sun; Jiawei Zhang 001 (CIKM, 2023)

RDGSL: Dynamic Graph Representation Learning with Structure Learning. - Siwei Zhang 001; Yun Xiong; Yao Zhang 009; Yiheng Sun; Xi Chen 072; Yizhu Jiao; Yangyong Zhu (CIKM, 2023)

Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. - Beichen Kang; Xiaosu Wang; Yun Xiong; Yao Zhang 009; Chaofan Zhou; Yangyong Zhu; Jiawei Zhang 001; Chunlei Tang (DASFAA (4), 2023)

MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs. - Mingxia Wang; Peng Tian; Yun Xiong; Jingwen Yue; Yao Zhang 009; Chunlei Tang (DASFAA (2), 2023)

Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. - Mingxia Wang; Yun Xiong; Yao Zhang 009; Philip S. Yu; Yangyong Zhu (DASFAA (4), 2023)

Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation. - Xing Jia; Yun Xiong; Yao Zhang 009; Li Luo (ECAI, 2023)

Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective. - Hao Niu; Yun Xiong; Xiaosu Wang; Wenjing Yu; Yao Zhang 009; Zhonglei Guo (EMNLP (Findings), 2023)

KeFVP: Knowledge-enhanced Financial Volatility Prediction. - Hao Niu; Yun Xiong; Xiaosu Wang; Wenjing Yu; Yao Zhang 009; Weizu Yang (EMNLP (Findings), 2023)

Explaining Temporal Graph Models through an Explorer-Navigator Framework. - Wenwen Xia; Mincai Lai; Caihua Shan; Yao Zhang 009; Xinnan Dai; Xiang Li 067; Dongsheng Li 002 (ICLR, 2023)

Improving Code Search with Multi-Modal Momentum Contrastive Learning. - Zejian Shi; Yun Xiong; Yao Zhang 009; Zhijie Jiang; Jinjing Zhao; Lei Wang; Shanshan Li 001 (ICPC, 2023)

ReCo: A Dataset for Residential Community Layout Planning. - Xi Chen 072; Yun Xiong; Siqi Wang; Haofen Wang; Tao Sheng; Yao Zhang 009; Yu Ye 002 (ACM Multimedia, 2023)

Automatic Code Annotation Generation Based on Heterogeneous Graph Structure. - Zhijie Jiang; Haixu Xiong; Yingwei Ma; Yao Zhang 009; Yan Ding; Yun Xiong; Shanshan Li 001 (SANER, 2023)

Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. - Xiaosu Wang; Yun Xiong; Beichen Kang; Yao Zhang 009; Philip S. Yu; Yangyong Zhu (WSDM, 2023)

ConsRec: Learning Consensus Behind Interactions for Group Recommendation. - Xixi Wu; Yun Xiong; Yao Zhang 009; Yizhu Jiao; Jiawei Zhang 001; Yangyong Zhu; Philip S. Yu (WWW, 2023)

TIGER: Temporal Interaction Graph Embedding with Restarts. - Yao Zhang 009; Yun Xiong; Yongxiang Liao; Yiheng Sun; Yucheng Jin; Xuehao Zheng; Yangyong Zhu (WWW, 2023)

SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding. - Xi Chen 072; Yongxiang Liao; Yun Xiong; Yao Zhang 009; Siwei Zhang 001; Jiawei Zhang 001; Yiheng Sun (CoRR, 2023)

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding. - Yucheng Jin; Yun Xiong; Dan Shi; Yifei Lin; Lifang He 001; Yao Zhang 009; Joseph M. Plasek; Li Zhou 007; David W. Bates; Chunlei Tang (J. Am. Medical Informatics Assoc., 2023)

ReCo:Residential Community Layout Planning Dataset. - Xi Chen 072; Yun Xiong; Siqi Wang; Haofen Wang; Tao Sheng; Yao Zhang 009; Yu Ye 002 (IEEE DataPort, 2023)

Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. - Yi Xie 003; Yun Xiong; Jiawei Zhang 001; Chao Chen 004; Yao Zhang 009; Jie Zhao 022; Yizhu Jiao; Jinjing Zhao; Yangyong Zhu (Knowl. Inf. Syst., 2023)

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. - Xi Chen 072; Yun Xiong; Siwei Zhang 001; Jiawei Zhang 001; Yao Zhang 009; Shiyang Zhou; Xixi Wu; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang 002 (CIKM, 2024)

Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. - Siwei Zhang 001; Xi Chen 072; Yun Xiong; Xixi Wu; Yao Zhang 009; Yongrui Fu; Yinglong Zhao; Jiawei Zhang 001 (KDD, 2024)

ProCom: A Few-shot Targeted Community Detection Algorithm. - Xixi Wu; Kaiyu Xiong; Yun Xiong; Xiaoxin He; Yao Zhang 009; Yizhu Jiao; Jiawei Zhang 001 (KDD, 2024)

Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. - Zhe Xie; Shenglin Zhang; Yitong Geng; Yao Zhang 009; Minghua Ma; Xiaohui Nie; Zhenhe Yao; Longlong Xu; Yongqian Sun; Wentao Li; Dan Pei (KDD, 2024)

MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning. - Zian Jia; Yun Xiong; Yuhong Nan; Yao Zhang 009; Jinjing Zhao; Mi Wen (USENIX Security Symposium, 2024)

Prompt Learning on Temporal Interaction Graphs. - Xi Chen 072; Siwei Zhang 001; Yun Xiong; Xixi Wu; Jiawei Zhang 001; Xiangguo Sun; Yao Zhang 009; Feng Zhao; Yulin Kang (CoRR, 2024)

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. - Xi Chen 072; Yun Xiong; Siwei Zhang 001; Jiawei Zhang 001; Yao Zhang 009; Shiyang Zhou; Xixi Wu; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang (CoRR, 2024)

LAMEE: a light all-MLP framework for time series prediction empowering recommendations. - Yi Xie 003; Yun Xiong; Xiaofeng Gao 001; Jiadong Chen; Yao Zhang 009; Xian Wu; Chao Chen 004 (World Wide Web (WWW), 2024)

DynamiSE: dynamic signed network embedding for link prediction. - Haiting Sun; Peng Tian; Yun Xiong; Yao Zhang 009; Yali Xiang; Xing Jia; Haofen Wang (Mach. Learn., 2024)

CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation. - Yao Zhang 009; Yun Xiong; Yiheng Sun; Yucheng Jin; Caihua Shan; Tian Lu; Hui Song; Shengli Sun (IEEE Trans. Knowl. Data Eng., 2025)

Deep reinforcement learning for community architectural layout generation. - Tao Sheng; Yun Xiong; Haofen Wang; Yao Zhang 009; Siqi Wang; Weinan Zhang 001 (Knowl. Inf. Syst., 2025)