Yun Xiong

211 papers A* 29A 32B 6C 6Misc 3Journal 83Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
MLDSJ: a multi-level feature joint attribution method for APT group based on threat intelligence.
EURASIP J. Inf. Secur.
Longxuan Duan, Mi Wen, Yun Xiong
2026 J jnl
RADDI: A Retrieval Augmented Framework for Drug-Drug Interaction Prediction.
Big Data Min. Anal.
Hengbo Zhang, Yingying Wang, Xinyu Gao, Yun Xiong
2026 J jnl
RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization.
CoRR
Siwei Zhang, Yun Xiong, Xi Chen, Zian Jia, Renhong Huang, Jiarong Xu, Jiawei Zhang
2026 A* conf
Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective.
WWW
Yunhao Liu, Zian Jia, Xinyu Gao, Kanjun Xu, Yun Xiong
2026 J jnl
Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective.
CoRR
Yunhao Liu, Zian Jia, Xinyu Gao, Kanjun Xu, Yun Xiong
2026 A* conf
SLFM: Semi-Supervised Local Community Detection Based on Hyperbolic Flow Matching.
WWW
Haixu Xiong, Li Sun, Yun Xiong, Suyang Zhou, Hongrun Ren, Yangyong Zhu
2026 J jnl
Semantic Feedback-Based RAG for Radiology Report Generation.
Big Data Min. Anal.
Xing Jia, Yun Xiong, Songwen Pei, Yumeng Zhang, Cairong Yan, Zhijun Fang
2026 J jnl
ShapeCond: Fast Shapelet-Guided Dataset Condensation for Time Series Classification.
CoRR
Sijia Peng, Yun Xiong, Xi Chen, Yi Xie, Guanzhi Li, Yanwei Yu, Yangyong Zhu, Zhiqiang Shen
2026 J jnl
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-in-a-Haystack.
ACM Trans. Inf. Syst.
Yunfan Gao, Yun Xiong, Wenlong Wu, Bohan Li, Yijie Zhong, Haofen Wang
2025 J jnl
A 2D Semantic-Aware Position Encoding for Vision Transformers.
CoRR
Xi Chen, Shiyang Zhou, Muqi Huang, Jiaxu Feng, Yun Xiong, Kun Zhou, Biao Yang, Yuhui Zhang, Huishuai Bao, Sijia Peng, Chuan Li, Feng Shi
2025 J jnl
Accelerating Network Features Deployment With Heterogeneous Platforms.
IEEE Trans. Netw.
Tingting Xu, Xiaoliang Wang, Chen Tian, Yun Xiong, Baoliu Ye, Sanglu Lu, Cam-Tu Nguyen
2025 A* conf
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing.
IJCAI
Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu
2025 J jnl
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing.
CoRR
Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu
2025 J jnl
CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation.
IEEE Trans. Knowl. Data Eng.
Yao Zhang, Yun Xiong, Yiheng Sun, Yucheng Jin, Caihua Shan, Tian Lu, Hui Song, Shengli Sun
2025 A* conf
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data.
AAAI
Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang
2025 J jnl
Deep reinforcement learning for community architectural layout generation.
Knowl. Inf. Syst.
Tao Sheng, Yun Xiong, Haofen Wang, Yao Zhang, Siqi Wang, Weinan Zhang
2025 J jnl
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models.
CoRR
Luolin Xiong, Haofen Wang, Xi Chen, Lu Sheng, Yun Xiong, Jingping Liu, Yanghua Xiao, Huajun Chen, Qing-Long Han, Yang Tang
2025 J jnl
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models.
IEEE CAA J. Autom. Sinica
Luolin Xiong, Haofen Wang, Xi Chen, Lu Sheng, Yun Xiong, Jingping Liu, Yanghua Xiao, Huajun Chen, Qing-Long Han, Yang Tang
2025 A* conf
Enhancing Masked Time-Series Modeling via Dropping Patches.
AAAI
Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao
2025 — conf
FoRAGe: High-CTR Food Image Synthesis with Retrieval-Augmented Diffusion Model.
KDD (2)
Jiaxu Feng, Xinyu Gao, Muqi Huang, Kanjun Xu, Yun Xiong, Kun Zhou, Chuan Li, Feng Shi
2025 J jnl
LGAT: A novel model for multivariate time series anomaly detection with improved anomaly transformer and learning graph structures.
Neurocomputing
Mi Wen, Zhehui Chen, Yun Xiong, Yichuan Zhang
2025 J jnl
Molecular Property Prediction Based on Motif-Centric Multi-Grain Pretaining and Finetuning Strategy.
IEEE Trans. Comput. Biol. Bioinform.
Yongrui Fu, Yun Xiong, Siwei Zhang, Kangxiang Jia
2025 A* conf
Rethinking Time Encoding via Learnable Transformation Functions.
ICML
Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong
2025 J jnl
Rethinking Time Encoding via Learnable Transformation Functions.
CoRR
Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong
2025 A conf
SSH-T
CIKM
Zehao Gu, Yateng Tang, Jiarong Xu, Siwei Zhang, Xuehao Zheng, Xi Chen, Yun Xiong
2025 — conf
Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting.
KDD (2)
Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen
2025 J jnl
Synergizing RAG and Reasoning: A Systematic Review.
CoRR
Yunfan Gao, Yun Xiong, Yijie Zhong, Yuxi Bi, Ming Xue, Haofen Wang
2025 J jnl
The language of time: a language model perspective on time-series foundation models.
CoRR
Yi Xie, Yun Xiong, Zejian Shi, Hao Niu, Zhengfu Liu
2025 A conf
Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation.
CIKM
Liang Su, Mingyang Zhang, Kangxiang Jia, Tengfei Liu, Weiqiang Wang, Yun Xiong, Xixi Wu, Xinyu Gao, Yongrui Fu, Jiawei Zhang
2025 J jnl
TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets.
CoRR
Hongrun Ren, Yun Xiong, Lei You, Yingying Wang, Haixu Xiong, Yangyong Zhu
2025 J jnl
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack.
CoRR
Yunfan Gao, Yun Xiong, Wenlong Wu, Zijing Huang, Bohan Li, Haofen Wang
2025 J jnl
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models.
CoRR
Siwei Zhang, Yun Xiong, Yateng Tang, Xi Chen, Zian Jia, Zehao Gu, Jiarong Xu, Jiawei Zhang
2024 A conf
Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation.
CIKM
Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong
2024 B conf
An Approach for APT Attack Scenario Construction Based on Dynamic Attack Graphs.
GLOBECOM
Mingsi Jiang, Mi Wen, Yun Xiong, Weiwei Li
2024 J jnl
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis.
CoRR
Yi Xie, Tianyu Qiu, Yun Xiong, Xiuqi Huang, Xiaofeng Gao, Chao Chen
2024 — conf
Beyond the Known: Novel Class Discovery for Open-World Graph Learning.
DASFAA (6)
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024 J jnl
Beyond the Known: Novel Class Discovery for Open-world Graph Learning.
CoRR
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024 J jnl
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning.
World Wide Web (WWW)
Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen
2024 A* conf
Can Graph Learning Improve Planning in LLM-based Agents?
NeurIPS
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
2024 J jnl
Can Graph Learning Improve Task Planning?
CoRR
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
2024 A conf
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
CIKM
Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, Guangyong Zheng
2024 J jnl
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
CoRR
Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang
2024 A conf
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
CIKM
Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024 J jnl
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
CoRR
Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024 J jnl
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model.
CoRR
Yu Feng, Xing Shi, Mengli Cheng, Yun Xiong
2024 J jnl
DynamiSE: dynamic signed network embedding for link prediction.
Mach. Learn.
Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang
2024 C conf
Enhancing Code Generation Through Retrieval of Cross-Lingual Semantic Graphs.
APSEC
Zhijie Jiang, Zejian Shi, Xinyu Gao, Yun Xiong
2024 — conf
Enhancing Crowding Event Detection on Campus with Multidimensional Logs: A Meta-Heuristic Search Approach.
COCOON (2)
Maoyi Wang, Jiajie Shen, Jack Mao, Jihan Dai, Bochun Wu, Yun Xiong, Xin Wang
2024 J jnl
Enhancing Masked Time-Series Modeling via Dropping Patches.
CoRR
Tianyu Qiu, Yi Xie, Yun Xiong, Hao Niu, Xiaofeng Gao
2024 J jnl
Finetuning Large Language Model for Personalized Ranking.
CoRR
Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong
2024 A conf
GetCom: An Efficient and Generalizable Framework for Community Detection.
CIKM
Kaiyu Xiong, Yucheng Jin, Yun Xiong, Jiawei Zhang
2024 A conf
How Does Textual Information Selection Influence Time Series Forecasting? A Cross-modal Perspective on Financial Volatility Prediction.
ICME
Hao Niu, Yun Xiong, Xiaosu Wang, Biao Yang, Yao Zhang
2024 — conf
Improving Alignment and Uniformity of Expert Representation with Contrastive Learning for Mixture-of-Experts Model.
DASFAA (7)
Zhuoxi Bai, Kuo Su, Xinyi Zhu, Yun Xiong
2024 J jnl
LAMEE: a light all-MLP framework for time series prediction empowering recommendations.
World Wide Web (WWW)
Yi Xie, Yun Xiong, Xiaofeng Gao, Jiadong Chen, Yao Zhang, Xian Wu, Chao Chen
2024 — conf
Linking Adaptive Structure Induction and Neuron Filtering: A Spectral Perspective for Aspect-based Sentiment Analysis.
LREC/COLING
Hao Niu, Maoyi Wang, Yun Xiong, Biao Yang, Xing Jia, Zhonglei Guo
2024 A* conf
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning.
USENIX Security Symposium
Zian Jia, Yun Xiong, Yuhong Nan, Yao Zhang, Jinjing Zhao, Mi Wen
2024 A conf
MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting.
CIKM
Zehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao, Philip S. Yu
2024 J jnl
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.
CoRR
Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen
2024 J jnl
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks.
CoRR
Yunfan Gao, Yun Xiong, Meng Wang, Haofen Wang
2024 A* conf
Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation.
ASE
Xinyu Gao, Yun Xiong, Deze Wang, Zhenhan Guan, Zejian Shi, Haofen Wang, Shanshan Li
2024 J jnl
Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation.
CoRR
Xinyu Gao, Yun Xiong, Deze Wang, Zhenhan Guan, Zejian Shi, Haofen Wang, Shanshan Li
2024 A* conf
ProCom: A Few-shot Targeted Community Detection Algorithm.
KDD
Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2024 J jnl
ProCom: A Few-shot Targeted Community Detection Algorithm.
CoRR
Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2024 J jnl
Prompt Learning on Temporal Interaction Graphs.
CoRR
Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang
2024 A conf
REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting.
CIKM
Shiyang Zhou, Zehao Gu, Yun Xiong, Yang Luo, Qiang Wang, Xiaofeng Gao
2024 A conf
Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering.
CIKM
Shuaibin Huang, Yun Xiong, Yi Xie, Tianyu Qiu, Guangzhong Wang
2024 A conf
ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory.
CIKM
Biao Yang, Yun Xiong, Xi Chen, Xuejing Feng, Meng Wang, Jun Ma
2024 A* conf
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling.
KDD
Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang
2024 J jnl
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling.
CoRR
Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang
2024 A* conf
Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance.
KDD
Yi Xie, Tianyu Qiu, Yun Xiong, Xiuqi Huang, Xiaofeng Gao, Chao Chen, Qiang Wang, Haihong Li
2023 — conf
Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective.
EMNLP (Findings)
Hao Niu, Yun Xiong, Xiaosu Wang, Wenjing Yu, Yao Zhang, Zhonglei Guo
2023 A conf
Automatic Code Annotation Generation Based on Heterogeneous Graph Structure.
SANER
Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong, Shanshan Li
2023 — conf
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.
DASFAA (4)
Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang
2023 — conf
Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation.
BIBM
Beichen Kang, Yao Zhang, Yun Xiong, Xing Jia, Jianbo Jiao, Ji Li
2023 A* conf
CLIP: Accelerating Features Deployment for Programmable Switch.
INFOCOM
Tingting Xu, Xiaoliang Wang, Chen Tian, Yun Xiong, Yun Lin, Baoliu Ye
2023 J jnl
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.
CoRR
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang
2023 A* conf
ConsRec: Learning Consensus Behind Interactions for Group Recommendation.
WWW
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023 J jnl
ConsRec: Learning Consensus Behind Interactions for Group Recommendation.
CoRR
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023 A conf
Dual Intents Graph Modeling for User-centric Group Discovery.
CIKM
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2023 J jnl
Dual Intents Graph Modeling for User-centric Group Discovery.
CoRR
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2023 B conf
DynamiSE: Dynamic Signed Network Embedding for Link Prediction.
DSAA
Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang
2023 J jnl
Graph Prompt Learning: A Comprehensive Survey and Beyond.
CoRR
Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li
2023 — conf
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.
DASFAA (4)
Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023 A conf
Improving Code Search with Multi-Modal Momentum Contrastive Learning.
ICPC
Zejian Shi, Yun Xiong, Yao Zhang, Zhijie Jiang, Jinjing Zhao, Lei Wang, Shanshan Li
2023 J jnl
Joint Learning of Local and Global Features for Aspect-based Sentiment Classification.
CoRR
Hao Niu, Yun Xiong, Xiaosu Wang, Philip S. Yu
2023 — conf
KeFVP: Knowledge-enhanced Financial Volatility Prediction.
EMNLP (Findings)
Hao Niu, Yun Xiong, Xiaosu Wang, Wenjing Yu, Yao Zhang, Weizu Yang
2023 J jnl
Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding.
J. Am. Medical Informatics Assoc.
Yucheng Jin, Yun Xiong, Dan Shi, Yifei Lin, Lifang He, Yao Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang
2023 J jnl
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning.
CoRR
Zian Jia, Yun Xiong, Yuhong Nan, Yao Zhang, Jinjing Zhao, Mi Wen
2023 A* conf
Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction.
ICDM
Yang Luo, Zehao Gu, Shiyang Zhou, Yun Xiong, Xiaofeng Gao
2023 — conf
MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs.
DASFAA (2)
Mingxia Wang, Peng Tian, Yun Xiong, Jingwen Yue, Yao Zhang, Chunlei Tang
2023 A conf
Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation.
ECAI
Xing Jia, Yun Xiong, Yao Zhang, Li Luo
2023 J jnl
Practical black-box adversarial attack on open-set recognition: Towards robust autonomous driving.
Peer Peer Netw. Appl.
Yanfei Wang, Kai Zhang, Kejie Lu, Yun Xiong, Mi Wen
2023 A conf
RDGSL: Dynamic Graph Representation Learning with Structure Learning.
CIKM
Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu
2023 J jnl
RDGSL: Dynamic Graph Representation Learning with Structure Learning.
CoRR
Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu
2023 A* conf
ReCo: A Dataset for Residential Community Layout Planning.
ACM Multimedia
Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye
2023 A conf
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting.
WSDM
Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023 J jnl
Retrieval-Augmented Generation for Large Language Models: A Survey.
CoRR
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Qianyu Guo, Meng Wang, Haofen Wang
2023 J jnl
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding.
CoRR
Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun
2023 A* conf
TIGER: Temporal Interaction Graph Embedding with Restarts.
WWW
Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu
2023 J jnl
TIGER: Temporal Interaction Graph Embedding with Restarts.
CoRR
Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu
2023 J jnl
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics.
Knowl. Inf. Syst.
Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu
2023 A conf
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation.
CIKM
Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang
2023 J jnl
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation.
CoRR
Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang
2022 J jnl
A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning.
IEEE Trans. Knowl. Data Eng.
Hu-Chen Liu, Xue Luan, MengChu Zhou, Yun Xiong
2022 — conf
AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat.
DSC
Zian Jia, Xiaosu Wang, Yun Xiong, Yao Zhang, Jinjing Zhao
2022 — conf
Algorithmic Trading Strategies for Informed Traders.
ICBDT
Jingxia Xu, Yun Xiong
2022 A* conf
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.
ICSE
Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao
2022 A* conf
CLARE: A Semi-supervised Community Detection Algorithm.
KDD
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
2022 J jnl
CLARE: A Semi-supervised Community Detection Algorithm.
CoRR
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
2022 B conf
Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification.
COLING
Hao Niu, Yun Xiong, Jian Gao, Zhongchen Miao, Xiaosu Wang, Hongrun Ren, Yao Zhang, Yangyong Zhu
2022 — conf
Concurrent Transformer for Spatial-Temporal Graph Modeling.
DASFAA (3)
Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li
2022 A conf
Cross-Modal Contrastive Learning for Code Search.
ICSME
Zejian Shi, Yun Xiong, Xiaolong Zhang, Yao Zhang, Shanshan Li, Yangyong Zhu
2022 — conf
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment.
BIBM
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu
2022 Misc conf
GeoGTI: Towards a General, Transferable and Interpretable Site Recommendation.
WISA
Yunfan Gao, Dong Han, Haofen Wang, Maohong Zhang, Fangjie Hou, Dongqing Yu, Yun Xiong
2022 J jnl
Multi-task attributed graphical lasso and its application in fund classification.
World Wide Web
Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu
2022 J jnl
ReCo: A Dataset for Residential Community Layout Planning.
CoRR
Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye
2022 A conf
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation.
CIKM
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
2022 J jnl
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation.
CoRR
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
2022 J jnl
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs.
Knowl. Inf. Syst.
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
2022 A conf
Triangle Graph Interest Network for Click-through Rate Prediction.
WSDM
Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu
2022 J jnl
Triangle Graph Interest Network for Click-through Rate Prediction.
CoRR
Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu
2022 J jnl
Using an optimized generative model to infer the progression of complications in type 2 diabetes patients.
BMC Medical Informatics Decis. Mak.
Xiaoxia Wang, Yifei Lin, Yun Xiong, Suhua Zhang, Yanming He, Yuqing He, Zhikun Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang
2021 Misc conf
Addressing Disparities in Diabetes Using Temporal Fairness Models.
AMIA
Joseph M. Plasek, Chunlei Tang, Xiaoxia Wang, Yun Xiong, Yangyong Zhu, Yanming He, Patricia C. Dykes, David W. Bates, Li Zhou
2021 A conf
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation.
WSDM
Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu
2021 A* conf
BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining.
ICDM
Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021 J jnl
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.
CoRR
Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao
2021 — conf
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation.
BIBM
Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang, Yangyong Zhu
2021 A conf
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
CIKM
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 A conf
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
CIKM
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021 J jnl
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
CoRR
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021 J jnl
Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance.
IEEE J. Biomed. Health Informatics
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
2021 — conf
Exploring the Role of Intermediaries in Dual-Special Purpose Vehicle Mode REITs.
ICBDT
Jingxia Xu, Jijin Geng, Yang Yu, Yun Xiong
2021 J jnl
GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Yun Xiong, Yizhou Zhang, Xiangnan Kong, Huidi Chen, Yangyong Zhu
2021 B conf
HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval.
ICMR
Yu Duan, Yun Xiong, Yao Zhang, Yuwei Fu, Yangyong Zhu
2021 A* conf
Highly Liquid Temporal Interaction Graph Embeddings.
WWW
Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu
2021 J jnl
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs.
IEEE Trans. Knowl. Data Eng.
Yao Zhang, Yun Xiong, Xiangnan Kong, Zhuang Niu, Yangyong Zhu
2021 A conf
Improving Chinese Character Representation with Formation Graph Attention Network.
CIKM
Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021 J jnl
Pythagorean Fuzzy Petri Nets for Knowledge Representation and Reasoning in Large Group Context.
IEEE Trans. Syst. Man Cybern. Syst.
Hu-Chen Liu, Dong-Hui Xu, Chunyan Duan, Yun Xiong
2021 — conf
Radiology Report Generation for Rare Diseases via Few-shot Transformer.
BIBM
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang
2020 J jnl
Bipolar fuzzy Petri nets for knowledge representation and acquisition considering non-cooperative behaviors.
Int. J. Mach. Learn. Cybern.
Xue-Guo Xu, Yun Xiong, Dong-Hui Xu, Hu-Chen Liu
2020 — conf
Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.
DASFAA (3)
Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu
2020 A conf
CommDGI: Community Detection Oriented Deep Graph Infomax.
CIKM
Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu
2020 — conf
Few-shot Radiology Report Generation for Rare Diseases.
BIBM
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu
2020 J jnl
Grey Reasoning Petri Nets for Large Group Knowledge Representation and Reasoning.
IEEE Trans. Fuzzy Syst.
Hu-Chen Liu, Xue Luan, Wanlong Lin, Yun Xiong
2020 — conf
IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking.
APWeb/WAIM (1)
Tianyi Tao, Yun Xiong, Guosen Wang, Yao Zhang, Peng Tian, Yangyong Zhu
2020 J jnl
ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting.
CoRR
Yi Xie, Yun Xiong, Yangyong Zhu
2020 — conf
KASR: Knowledge-Aware Sequential Recommendation.
APWeb/WAIM (1)
Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu
2020 — conf
MinSR: Multi-level Interests Network for Session-Based Recommendation.
DASFAA (2)
Tao Lei, Yun Xiong, Peng Tian, Yangyong Zhu
2020 — conf
Multi-task Attributed Graphical Lasso.
APWeb/WAIM (1)
Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu
2020 J jnl
Precise Orbit and Clock Products of Galileo, BDS and QZSS from MGEX Since 2018: Comparison and PPP Validation.
Remote. Sens.
Xingxing Li, Yiting Zhu, Kai Zheng, Yongqiang Yuan, Gege Liu, Yun Xiong
2020 — conf
SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction.
DASFAA (1)
Yi Xie, Yun Xiong, Yangyong Zhu
2020 A* conf
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.
KDD
Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu
2020 — conf
SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs.
DASFAA (3)
Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang
2020 A* conf
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning.
ICDM
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
2020 J jnl
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning.
CoRR
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
2020 — conf
TI-GCN: A Dynamic Network Embedding Method with Time Interval Information.
IEEE BigData
Yali Xiang, Yun Xiong, Yangyong Zhu
2019 J jnl
A Novel Failure Mode and Effect Analysis Approach Integrating Probabilistic Linguistic Term Sets and Fuzzy Petri Nets.
IEEE Access
Xiao-Yang Li, Ze-Ling Wang, Yun Xiong, Hu-Chen Liu
2019 J jnl
A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes.
BMC Medical Informatics Decis. Mak.
Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Min-Jeoung Kang, Haokai Sheng, Yun Xiong, David W. Bates, Li Zhou
2019 — conf
Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation.
DASFAA (3)
Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu
2019 A conf
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention.
CIKM
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
2019 J jnl
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention.
CoRR
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
2019 — conf
Data Reconstruction Based on Temporal Expressions in Clinical Notes.
BIBM
Zhikun Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Min-Jeoung Kang, Patricia C. Dykes, David W. Bates, Li Zhou
2019 — conf
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.
DASFAA (1)
Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu
2019 A conf
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation.
CIKM
Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu
2019 J jnl
Failure mode and effect analysis using interval type-2 fuzzy sets and fuzzy Petri nets.
J. Intell. Fuzzy Syst.
Xiao-Yang Li, Yun Xiong, Chun-Yan Duan, Hu-Chen Liu
2019 C conf
GAN-Based Deep Matrix Factorization for Recommendation Systems.
ICDS
Qingqin Wang, Yun Xiong, Yangyong Zhu
2019 — conf
Metapath Enhanced Graph Attention Encoder for HINs Representation Learning.
IEEE BigData
Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, Yangyong Zhu
2019 — conf
Net2Text: An Edge Labelling Language Model for Personalized Review Generation.
DASFAA (1)
Shaofeng Xu, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2019 — conf
NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks.
WI (Companion)
Yao Zhang, Yun Xiong, Lu Ruan, Xiangnan Kong, Yangyong Zhu
2019 J jnl
Real-Time Kinematic Precise Orbit Determination for LEO Satellites Using Zero-Differenced Ambiguity Resolution.
Remote. Sens.
Xingxing Li, Jiaqi Wu, Keke Zhang, Xin Li, Yun Xiong, Qian Zhang
2018 — conf
A Deep Learning Approach to Handling Temporal Variation in Chronic Obstructive Pulmonary Disease Progression.
BIBM
Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Yun Xiong, David W. Bates, Li Zhou
2018 C conf
Automatic Generation of Pseudocode with Attention Seq2seq Model.
APSEC
Shaofeng Xu, Yun Xiong
2018 — conf
ConfigFile++: Automatic comment enhancement for misconfiguration prevention.
MaLTeSQuE
Yuanliang Zhang, Shanshan Li, Xiangyang Xu, Xiangke Liao, Shazhou Yang, Yun Xiong
2018 A* conf
Deep Collective Classification in Heterogeneous Information Networks.
WWW
Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu
2018 — conf
Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions.
DASFAA (1)
Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu, Shimin Zhao, Shanshan Li
2018 J jnl
NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng.
Yun Xiong, Yizhou Zhang, Xiangnan Kong, Yangyong Zhu
2018 — conf
Predicting Disease-related Associations by Heterogeneous Network Embedding.
BIBM
Yun Xiong, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, Wei Wang
2018 Misc conf
RegionAl: an Optimized Regional Classifier to Predict Mortality in Chronic Obstructive Pulmonary Disease Patients.
AMIA
Haohan Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Jing Ma, Li Zhou, David W. Bates
2018 — conf
Tracking Dynamic Magnet Communities: Insights from a Network Perspective.
DASFAA (1)
Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2017 — conf
Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map.
BIBM
Chunlei Tang, Haohan Zhang, Kenneth H. Lai, Yuxuan She, Yun Xiong, Li Zhou
2017 A conf
Easier Said Than Done: Diagnosing Misconfiguration via Configuration Constraints Analysis: A Study of the Variance of Configuration Constraints in Source Code.
EASE
Shulin Zhou, Shanshan Li, Xiaodong Liu, Xiangyang Xu, Si Zheng, Xiangke Liao, Yun Xiong
2017 B conf
How the Passengers Flow in Complex Metro Networks?
SSDBM
Guandong Sun, Yun Xiong, Yangyong Zhu
2017 A conf
Learning Node Embeddings in Interaction Graphs.
CIKM
Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2017 A conf
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.
SDM
Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu
2016 — conf
ConfMapper: Automated Variable Finding for Configuration Items in Source Code.
QRS Companion
Shulin Zhou, Xiaodong Liu, Shanshan Li, Wei Dong, Xiangke Liao, Yun Xiong
2016 A* conf
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks.
KDD
Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2015 J jnl
Defining Data Science.
CoRR
Yangyong Zhu, Yun Xiong
2015 A* conf
Multi-source Information Fusion for Personalized Restaurant Recommendation.
SIGIR
Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong
2015 J jnl
Top-k Similarity Join in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Yun Xiong, Yangyong Zhu, Philip S. Yu
2015 J jnl
Towards Data Science.
Data Sci. J.
Yangyong Zhu, Yun Xiong
2014 — conf
An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks.
PAKDD Workshops
Congcong Li, Jing Sun, Yun Xiong, Guangyong Zheng
2014 — conf
Mining high-temperature event space-time regions in geo-referenced temperature series data.
FSKD
Xue Bai, Yitong Wang, Heng Jiang, Zhicheng Liao, Yun Xiong, Xibin Shi
2013 C conf
Co-anomaly Event Detection in Multiple Temperature Series.
KSEM
Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen
2013 — conf
Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion.
PAKDD (2)
Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen
2013 — conf
Time Series Representation: A Random Shifting Perspective.
WAIM
Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu
2013 A* conf
Towards Cohesive Anomaly Mining.
AAAI
Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei
2012 A conf
Clustering Based on Yukawa Potential.
SDM
Xue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu
2012 C conf
FIND - A Data Cloud Platform for Financial Data Services.
DATA
Zhicheng Liao, Yun Xiong, Yangyong Zhu
2012 — conf
Link Prediction Using BenefitRanks in Weighted Networks.
Web Intelligence
Zhijie Lin, Yun Xiong, Yangyong Zhu
2012 — conf
Mining hub-based protein complexes in massive biological networks.
BIBM Workshops
Zhijie Lin, Yan Chen, Shiwei Wu, Yun Xiong, Yangyong Zhu, Guangyong Zheng
2010 — conf
A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity.
Brain Informatics
Li Xue, Yun Xiong, Yangyong Zhu
2010 — conf
TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement.
BIBM Workshops
Yun Xiong, Junhua He, Yangyong Zhu
2010 — conf
User Navigation Behavior Mining Using Multiple Data Domain Description.
Web Intelligence/IAT Workshops
Li Xue, Ming Chen, Yun Xiong, Yangyong Zhu
2009 J jnl
A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements.
IEEE Intell. Syst.
Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu
2009 A* conf
A Cost-Effective LSH Filter for Fast Pairwise Mining.
ICDM
Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu
2009 — conf
Data Explosion, Data Nature and Dataology.
Brain Informatics
Yangyong Zhu, Ning Zhong, Yun Xiong
2009 A* conf
Mining Peculiarity Groups in Day-by-Day Behavioral Datasets.
ICDM
Yun Xiong, Yangyong Zhu
2008 — conf
An Agent-Based Approach to Mine Transcriptional Regulatory Elements.
Web Intelligence/IAT Workshops
Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu
2008 J jnl
ITFP: an integrated platform of mammalian transcription factors.
Bioinform.
Guangyong Zheng, Kang Tu, Qing Yang, Yun Xiong, Chaochun Wei, Lu Xie, Yangyong Zhu, Yixue Li
2007 B conf
Incremental Mining of Sequential Patterns Using Prefix Tree.
PAKDD
Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu
2005 C conf
A Multi-Supports-Based Sequential Pattern Mining Algorithm.
CIT
Yun Xiong, Yangyong Zhu