A Multi-Supports-Based Sequential Pattern Mining Algorithm. - Yun Xiong; Yangyong Zhu (CIT, 2005)

Incremental Mining of Sequential Patterns Using Prefix Tree. - Yue Chen; Jiankui Guo; Yaqin Wang; Yun Xiong; Yangyong Zhu (PAKDD, 2007)

An Agent-Based Approach to Mine Transcriptional Regulatory Elements. - Yun Xiong; Guangyong Zheng; Qing Yang; Yangyong Zhu (Web Intelligence/IAT Workshops, 2008)

ITFP: an integrated platform of mammalian transcription factors. - Guangyong Zheng; Kang Tu; Qing Yang; Yun Xiong; Chaochun Wei; Lu Xie; Yangyong Zhu; Yixue Li (Bioinform., 2008)

Data Explosion, Data Nature and Dataology. - Yangyong Zhu; Ning Zhong 001; Yun Xiong (Brain Informatics, 2009)

Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. - Yun Xiong; Yangyong Zhu (ICDM, 2009)

A Cost-Effective LSH Filter for Fast Pairwise Mining. - Gang Zhao; Yun Xiong; Longbing Cao; Dan Luo 001; Xuchun Su; Yangyong Zhu (ICDM, 2009)

A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements. - Yun Xiong; Guangyong Zheng; Qing Yang; Yangyong Zhu (IEEE Intell. Syst., 2009)

TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement. - Yun Xiong; Junhua He; Yangyong Zhu (BIBM Workshops, 2010)

A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity. - Li Xue; Yun Xiong; Yangyong Zhu (Brain Informatics, 2010)

User Navigation Behavior Mining Using Multiple Data Domain Description. - Li Xue; Ming Chen; Yun Xiong; Yangyong Zhu (Web Intelligence/IAT Workshops, 2010)

Mining hub-based protein complexes in massive biological networks. - Zhijie Lin; Yan Chen; Shiwei Wu; Yun Xiong; Yangyong Zhu; Guangyong Zheng (BIBM Workshops, 2012)

FIND - A Data Cloud Platform for Financial Data Services. - Zhicheng Liao; Yun Xiong; Yangyong Zhu (DATA, 2012)

Clustering Based on Yukawa Potential. - Xue Bai; Zezhen Lin; Yun Xiong; Yangyong Zhu (SDM, 2012)

Link Prediction Using BenefitRanks in Weighted Networks. - Zhijie Lin; Yun Xiong; Yangyong Zhu (Web Intelligence, 2012)

Towards Cohesive Anomaly Mining. - Yun Xiong; Yangyong Zhu; Philip S. Yu; Jian Pei 001 (AAAI, 2013)

Co-anomaly Event Detection in Multiple Temperature Series. - Xue Bai; Yun Xiong; Yangyong Zhu; Qi Liu 003; Zhiyuan Chen 003 (KSEM, 2013)

Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion. - Li Xue; Yun Xiong; Yangyong Zhu; Jianfeng Wu; Zhiyuan Chen 003 (PAKDD (2), 2013)

Time Series Representation: A Random Shifting Perspective. - Xue Bai; Yun Xiong; Yangyong Zhu; Hengshu Zhu (WAIM, 2013)

Mining high-temperature event space-time regions in geo-referenced temperature series data. - Xue Bai; Yitong Wang; Heng Jiang; Zhicheng Liao; Yun Xiong; Xibin Shi (FSKD, 2014)

An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks. - Congcong Li; Jing Sun 008; Yun Xiong; Guangyong Zheng (PAKDD Workshops, 2014)

Multi-source Information Fusion for Personalized Restaurant Recommendation. - Jing Sun 008; Yun Xiong; Yangyong Zhu; Junming Liu; Chu Guan; Hui Xiong 001 (SIGIR, 2015)

Defining Data Science. - Yangyong Zhu; Yun Xiong (CoRR, 2015)

Towards Data Science. - Yangyong Zhu; Yun Xiong (Data Sci. J., 2015)

Top-k Similarity Join in Heterogeneous Information Networks. - Yun Xiong; Yangyong Zhu; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2015)

NetCycle: Collective Evolution Inference in Heterogeneous Information Networks. - Yizhou Zhang; Yun Xiong; Xiangnan Kong; Yangyong Zhu (KDD, 2016)

ConfMapper: Automated Variable Finding for Configuration Items in Source Code. - Shulin Zhou; Xiaodong Liu 004; Shanshan Li 001; Wei Dong 006; Xiangke Liao; Yun Xiong (QRS Companion, 2016)

Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map. - Chunlei Tang; Haohan Zhang; Kenneth H. Lai; Yuxuan She; Yun Xiong; Li Zhou 007 (BIBM, 2017)

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

Easier Said Than Done: Diagnosing Misconfiguration via Configuration Constraints Analysis: A Study of the Variance of Configuration Constraints in Source Code. - Shulin Zhou; Shanshan Li 001; Xiaodong Liu 004; Xiangyang Xu; Si Zheng 003; Xiangke Liao; Yun Xiong (EASE, 2017)

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

How the Passengers Flow in Complex Metro Networks? - Guandong Sun; Yun Xiong; Yangyong Zhu (SSDBM, 2017)

RegionAl: an Optimized Regional Classifier to Predict Mortality in Chronic Obstructive Pulmonary Disease Patients. - Haohan Zhang; Chunlei Tang; Joseph M. Plasek; Yun Xiong; Jing Ma; Li Zhou 007; David W. Bates (AMIA, 2018)

Automatic Generation of Pseudocode with Attention Seq2seq Model. - Shaofeng Xu; Yun Xiong (APSEC, 2018)

A Deep Learning Approach to Handling Temporal Variation in Chronic Obstructive Pulmonary Disease Progression. - Chunlei Tang; Joseph M. Plasek; Haohan Zhang; Yun Xiong; David W. Bates; Li Zhou 007 (BIBM, 2018)

Predicting Disease-related Associations by Heterogeneous Network Embedding. - Yun Xiong; Lu Ruan 002; Mengjie Guo; Chunlei Tang; Xiangnan Kong; Yangyong Zhu; Wei Wang 010 (BIBM, 2018)

Tracking Dynamic Magnet Communities: Insights from a Network Perspective. - Chang Liao; Yun Xiong; Xiangnan Kong; Yangyong Zhu (DASFAA (1), 2018)

Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions. - Chang Liao; Yun Xiong; Xiangnan Kong; Yangyong Zhu; Shimin Zhao; Shanshan Li 001 (DASFAA (1), 2018)

ConfigFile++: Automatic comment enhancement for misconfiguration prevention. - Yuanliang Zhang; Shanshan Li 001; Xiangyang Xu; Xiangke Liao; Shazhou Yang; Yun Xiong (MaLTeSQuE, 2018)

Deep Collective Classification in Heterogeneous Information Networks. - Yizhou Zhang; Yun Xiong; Xiangnan Kong; Shanshan Li 001; Jinhong Mi; Yangyong Zhu (WWW, 2018)

NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks. - Yun Xiong; Yizhou Zhang; Xiangnan Kong; Yangyong Zhu (IEEE Trans. Knowl. Data Eng., 2018)

Data Reconstruction Based on Temporal Expressions in Clinical Notes. - Zhikun Zhang; Chunlei Tang; Joseph M. Plasek; Yun Xiong; Min-Jeoung Kang; Patricia C. Dykes; David W. Bates; Li Zhou 007 (BIBM, 2019)

Metapath Enhanced Graph Attention Encoder for HINs Representation Learning. - Yuwei Fu; Yun Xiong; Philip S. Yu; Tianyi Tao; Yangyong Zhu (IEEE BigData, 2019)

Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. - Yizhu Jiao; Yun Xiong; Jiawei Zhang 001; Yangyong Zhu (CIKM, 2019)

EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. - Xiancheng Xie; Yun Xiong; Philip S. Yu; Yangyong Zhu (CIKM, 2019)

Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation. - Xiancheng Xie; Yun Xiong; Philip S. Yu; Kangan Li; Suhua Zhang; Yangyong Zhu (DASFAA (3), 2019)

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)

Net2Text: An Edge Labelling Language Model for Personalized Review Generation. - Shaofeng Xu; Yun Xiong; Xiangnan Kong; Yangyong Zhu (DASFAA (1), 2019)

GAN-Based Deep Matrix Factorization for Recommendation Systems. - Qingqin Wang; Yun Xiong; Yangyong Zhu (ICDS, 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)

A Novel Failure Mode and Effect Analysis Approach Integrating Probabilistic Linguistic Term Sets and Fuzzy Petri Nets. - Xiao-Yang Li 006; Ze-Ling Wang; Yun Xiong; Hu-Chen Liu (IEEE Access, 2019)

Failure mode and effect analysis using interval type-2 fuzzy sets and fuzzy Petri nets. - Xiao-Yang Li 006; Yun Xiong; Chun-Yan Duan; Hu-Chen Liu (J. Intell. Fuzzy Syst., 2019)

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes. - Chunlei Tang; Joseph M. Plasek; Haohan Zhang; Min-Jeoung Kang; Haokai Sheng; Yun Xiong; David W. Bates; Li Zhou 007 (BMC Medical Informatics Decis. Mak., 2019)

Real-Time Kinematic Precise Orbit Determination for LEO Satellites Using Zero-Differenced Ambiguity Resolution. - Xingxing Li; Jiaqi Wu; Keke Zhang; Xin Li 117; Yun Xiong; Qian Zhang 100 (Remote. Sens., 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)

KASR: Knowledge-Aware Sequential Recommendation. - Qingqin Wang; Yun Xiong; Yangyong Zhu; Philip S. Yu (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)

TI-GCN: A Dynamic Network Embedding Method with Time Interval Information. - Yali Xiang; Yun Xiong; Yangyong Zhu (IEEE BigData, 2020)

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

SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. - Huidi Chen; Yun Xiong; Changdong Wang 001; Yangyong Zhu; Wei Wang 010 (DASFAA (3), 2020)

MinSR: Multi-level Interests Network for Session-Based Recommendation. - Tao Lei; Yun Xiong; Peng Tian; Yangyong Zhu (DASFAA (2), 2020)

SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction. - Yi Xie 003; Yun Xiong; Yangyong Zhu (DASFAA (1), 2020)

Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. - Yun Xiong; Shaofeng Xu; Keyao Rong; Xinyue Liu 003; Xiangnan Kong; Shanshan Li 001; Philip S. Yu; Yangyong Zhu (DASFAA (3), 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)

ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting. - Yi Xie 003; Yun Xiong; Yangyong Zhu (CoRR, 2020)

Bipolar fuzzy Petri nets for knowledge representation and acquisition considering non-cooperative behaviors. - Xue-Guo Xu; Yun Xiong; Dong-Hui Xu; Hu-Chen Liu (Int. J. Mach. Learn. Cybern., 2020)

Precise Orbit and Clock Products of Galileo, BDS and QZSS from MGEX Since 2018: Comparison and PPP Validation. - Xingxing Li; Yiting Zhu; Kai Zheng 022; Yongqiang Yuan; Gege Liu; Yun Xiong (Remote. Sens., 2020)

Grey Reasoning Petri Nets for Large Group Knowledge Representation and Reasoning. - Hu-Chen Liu; Xue Luan; Wanlong Lin; Yun Xiong (IEEE Trans. Fuzzy Syst., 2020)

An annotated dataset of tongue images. - Chunlei Tang; Dan Shi; Xiao Shi; Yun Xiong (IEEE DataPort, 2020)

Addressing Disparities in Diabetes Using Temporal Fairness Models. - Joseph M. Plasek; Chunlei Tang; Xiaoxia Wang; Yun Xiong; Yangyong Zhu; Yanming He; Patricia C. Dykes; David W. Bates; Li Zhou 007 (AMIA, 2021)

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)

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Jiawei Zhang 001; Yun Xiong; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

Improving Chinese Character Representation with Formation Graph Attention Network. - Xiaosu Wang; Yun Xiong; Hao Niu; Jingwen Yue; Yangyong Zhu; Philip S. Yu (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)

Exploring the Role of Intermediaries in Dual-Special Purpose Vehicle Mode REITs. - Jingxia Xu; Jijin Geng; Yang Yu; Yun Xiong (ICBDT, 2021)

BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. - Xiaosu Wang; Yun Xiong; Hao Niu; Jingwen Yue; Yangyong Zhu; Philip S. Yu (ICDM, 2021)

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

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

Highly Liquid Temporal Interaction Graph Embeddings. - Huidi Chen; Yun Xiong; Yangyong Zhu; Philip S. Yu (WWW, 2021)

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance. - Chunlei Tang; Joseph M. Plasek; Xiao Shi; Meihan Wan; Haohan Zhang; Min-Jeoung Kang; Liqin Wang; Sevan M. Dulgarian; Yun Xiong; Jing Ma; David W. Bates; Li Zhou 007 (IEEE J. Biomed. Health Informatics, 2021)

GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks. - Yun Xiong; Yizhou Zhang; Xiangnan Kong; Huidi Chen; Yangyong Zhu (IEEE Trans. Knowl. Data Eng., 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)

Pythagorean Fuzzy Petri Nets for Knowledge Representation and Reasoning in Large Group Context. - Hu-Chen Liu; Dong-Hui Xu; Chunyan Duan; Yun Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2021)

GeoGTI: Towards a General, Transferable and Interpretable Site Recommendation. - Yunfan Gao; Dong Han; Haofen Wang; Maohong Zhang; Fangjie Hou; Dongqing Yu; Yun Xiong (WISA, 2022)

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)

Concurrent Transformer for Spatial-Temporal Graph Modeling. - Yi Xie 003; Yun Xiong; Yangyong Zhu; Philip S. Yu; Cheng Jin; Qiang Wang; Haihong Li (DASFAA (3), 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)

Algorithmic Trading Strategies for Informed Traders. - Jingxia Xu; Yun Xiong (ICBDT, 2022)

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. - Deze Wang; Zhouyang Jia; Shanshan Li 001; Yue Yu 001; Yun Xiong; Wei Dong 006; Xiangke Liao (ICSE, 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)

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)

Using an optimized generative model to infer the progression of complications in type 2 diabetes patients. - Xiaoxia Wang; Yifei Lin; Yun Xiong; Suhua Zhang; Yanming He; Yuqing He; Zhikun Zhang; Joseph M. Plasek; Li Zhou 007; David W. Bates; Chunlei Tang (BMC Medical Informatics Decis. Mak., 2022)

A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning. - Hu-Chen Liu; Xue Luan; MengChu Zhou; Yun Xiong (IEEE Trans. Knowl. Data Eng., 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)

Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction. - Yang Luo; Zehao Gu; Shiyang Zhou; Yun Xiong; Xiaofeng Gao 001 (ICDM, 2023)

CLIP: Accelerating Features Deployment for Programmable Switch. - Tingting Xu; Xiaoliang Wang 001; Chen Tian 001; Yun Xiong; Yun Lin; Baoliu Ye (INFOCOM, 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)

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System. - Yunfan Gao; Tao Sheng; Youlin Xiang; Yun Xiong; Haofen Wang; Jiawei Zhang 001 (CoRR, 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)

Joint Learning of Local and Global Features for Aspect-based Sentiment Classification. - Hao Niu; Yun Xiong; Xiaosu Wang; Philip S. Yu (CoRR, 2023)

Graph Prompt Learning: A Comprehensive Survey and Beyond. - Xiangguo Sun; Jiawen Zhang 001; Xixi Wu; Hong Cheng 001; Yun Xiong; Jia Li 009 (CoRR, 2023)

Retrieval-Augmented Generation for Large Language Models: A Survey. - Yunfan Gao; Yun Xiong; Xinyu Gao; Kangxiang Jia; Jinliu Pan; Yuxi Bi; Yi Dai; Jiawei Sun; Qianyu Guo; Meng Wang 009; Haofen Wang (CoRR, 2023)

Practical black-box adversarial attack on open-set recognition: Towards robust autonomous driving. - Yanfei Wang; Kai Zhang 016; Kejie Lu; Yun Xiong; Mi Wen (Peer Peer Netw. Appl., 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)

Enhancing Code Generation Through Retrieval of Cross-Lingual Semantic Graphs. - Zhijie Jiang; Zejian Shi; Xinyu Gao; Yun Xiong (APSEC, 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 002 (CIKM, 2024)

Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation. - Zhuoxi Bai; Ning Wu; Fengyu Cai; Xinyi Zhu; Yun Xiong (CIKM, 2024)

MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting. - Zehao Gu; Shiyang Zhou; Yun Xiong; Yang Luo; Hongrun Ren; Qiang Wang; Xiaofeng Gao 001; Philip S. Yu (CIKM, 2024)

Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering. - Shuaibin Huang; Yun Xiong; Yi Xie 003; Tianyu Qiu; Guangzhong Wang (CIKM, 2024)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. - Yingying Wang; Yun Xiong; Xixi Wu; Xiangguo Sun; Jiawei Zhang 001; Guangyong Zheng (CIKM, 2024)

GetCom: An Efficient and Generalizable Framework for Community Detection. - Kaiyu Xiong; Yucheng Jin; Yun Xiong; Jiawei Zhang 001 (CIKM, 2024)

ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory. - Biao Yang; Yun Xiong; Xi Chen 072; Xuejing Feng; Meng Wang 009; Jun Ma 036 (CIKM, 2024)

REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting. - Shiyang Zhou; Zehao Gu; Yun Xiong; Yang Luo; Qiang Wang; Xiaofeng Gao 001 (CIKM, 2024)

Enhancing Crowding Event Detection on Campus with Multidimensional Logs: A Meta-Heuristic Search Approach. - Maoyi Wang; Jiajie Shen; Jack Mao; Jihan Dai; Bochun Wu; Yun Xiong; Xin Wang 002 (COCOON (2), 2024)

Linking Adaptive Structure Induction and Neuron Filtering: A Spectral Perspective for Aspect-based Sentiment Analysis. - Hao Niu; Maoyi Wang; Yun Xiong; Biao Yang; Xing Jia; Zhonglei Guo (LREC/COLING, 2024)

Improving Alignment and Uniformity of Expert Representation with Contrastive Learning for Mixture-of-Experts Model. - Zhuoxi Bai; Kuo Su; Xinyi Zhu; Yun Xiong (DASFAA (7), 2024)

Beyond the Known: Novel Class Discovery for Open-World Graph Learning. - Yucheng Jin; Yun Xiong; Juncheng Fang; Xixi Wu; Dongxiao He; Xing Jia; Bingchen Zhao; Philip S. Yu (DASFAA (6), 2024)

An Approach for APT Attack Scenario Construction Based on Dynamic Attack Graphs. - Mingsi Jiang; Mi Wen; Yun Xiong; Weiwei Li (GLOBECOM, 2024)

How Does Textual Information Selection Influence Time Series Forecasting? A Cross-modal Perspective on Financial Volatility Prediction. - Hao Niu; Yun Xiong; Xiaosu Wang; Biao Yang; Yao Zhang (ICME, 2024)

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation. - Xinyu Gao; Yun Xiong; Deze Wang; Zhenhan Guan; Zejian Shi; Haofen Wang; Shanshan Li 001 (ASE, 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)

Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance. - Yi Xie 003; Tianyu Qiu; Yun Xiong; Xiuqi Huang; Xiaofeng Gao 001; Chao Chen 004; Qiang Wang; Haihong Li (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)

Can Graph Learning Improve Planning in LLM-based Agents? - Xixi Wu; Yifei Shen; Caihua Shan; Kaitao Song; Siwei Wang; Bohang Zhang; Jiarui Feng; Hong Cheng; Wei Chen; Yun Xiong; Dongsheng Li (NeurIPS, 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)

DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model. - Yu Feng; Xing Shi; Mengli Cheng; Yun Xiong (CoRR, 2024)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. - Yingying Wang; Yun Xiong; Xixi Wu; Xiangguo Sun; Jiawei Zhang 001 (CoRR, 2024)

Finetuning Large Language Model for Personalized Ranking. - Zhuoxi Bai; Ning Wu; Fengyu Cai; Xinyi Zhu; Yun Xiong (CoRR, 2024)

Can Graph Learning Improve Task Planning? - Xixi Wu; Yifei Shen; Caihua Shan; Kaitao Song; Siwei Wang; Bohang Zhang; Jiarui Feng; Hong Cheng; Wei Chen; Yun Xiong; Dongsheng Li (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)

Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks. - Yunfan Gao; Yun Xiong; Meng Wang 009; Haofen Wang (CoRR, 2024)

Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need. - Sijia Peng; Yun Xiong; Yangyong Zhu; Zhiqiang Shen (CoRR, 2024)

An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis. - Yi Xie 003; Tianyu Qiu; Yun Xiong; Xiuqi Huang; Xiaofeng Gao 001; Chao Chen 004 (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)

Bridging distribution gaps: invariant pattern discovery for dynamic graph learning. - Yucheng Jin; Maoyi Wang; Yun Xiong; Zhizhou Ren; Cuiying Huo; Feng Zhu; Jiawei Zhang; Guangzhong Wang; Haoran Chen (World Wide Web (WWW), 2024)

Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data. - Yunfan Gao; Yun Xiong; Zhongyuan Hu; Yiming Zhang; Meng Wang 009; Haofen Wang (AAAI, 2025)

Enhancing Masked Time-Series Modeling via Dropping Patches. - Tianyu Qiu; Yi Xie 003; Hao Niu; Yun Xiong; Xiaofeng Gao 001 (AAAI, 2025)

LGAT: A novel model for multivariate time series anomaly detection with improved anomaly transformer and learning graph structures. - Mi Wen; Zhehui Chen; Yun Xiong; Yichuan Zhang (Neurocomputing, 2025)

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)

U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack. - Yunfan Gao; Yun Xiong; Wenlong Wu; Zijing Huang; Bohan Li; Haofen Wang (CoRR, 2025)

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models. - Siwei Zhang 001; Yun Xiong; Yateng Tang; Xi Chen 072; Zian Jia; Zehao Gu; Jiarong Xu; Jiawei Zhang 001 (CoRR, 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)

Synergizing RAG and Reasoning: A Systematic Review. - Yunfan Gao; Yun Xiong; Yijie Zhong 001; Yuxi Bi; Ming Xue; Haofen Wang (CoRR, 2025)

Rethinking Time Encoding via Learnable Transformation Functions. - Xi Chen 072; Yateng Tang; Jiarong Xu; Jiawei Zhang 001; Siwei Zhang 001; Sijia Peng; Xuehao Zheng; Yun Xiong (CoRR, 2025)

A 2D Semantic-Aware Position Encoding for Vision Transformers. - Xi Chen; Shiyang Zhou; Muqi Huang; Jiaxu Feng; Yun Xiong; Kun Zhou; Biao Yang; Yuhui Zhang; Huishuai Bao; Sijia Peng; Chuan Li; Feng Shi (CoRR, 2025)

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models. - Luolin Xiong; Haofen Wang; Xi Chen 072; Lu Sheng; Yun Xiong; Jingping Liu; Yanghua Xiao; Huajun Chen; Qing-Long Han; Yang Tang (IEEE CAA J. Autom. Sinica, 2025)

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing. - Biao Yang; Muqi Huang; Yuhui Zhang; Yun Xiong; Kun Zhou; Xi Chen; Shiyang Zhou; Huishuai Bao; Chuan Li; Feng Shi; Hualei Liu (CoRR, 2025)

The language of time: a language model perspective on time-series foundation models. - Yi Xie 003; Yun Xiong; Zejian Shi; Hao Niu; Zhengfu Liu (CoRR, 2025)