Xi Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 54

Top Topics

Sequential Patterns

Reinforcement Learning

Stock Market Prediction

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong
Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR (2024)
Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Xi Zhang, Chaozhuo Li
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection. CoRR (2024)
Zheng Zhang, Yingsheng Ji, Jiachen Shen, Yushu Chen, Xi Zhang, Guangwen Yang
Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph. WWW (2024)
Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng
Predicting rumor veracity on social media with cross-channel interaction of multi-task. Neural Comput. Appl. 36 (15) (2024)
Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia
Evidence Retrieval is almost All You Need for Fact Verification. ACL (Findings) (2024)
Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu
Uncertainty Quantification on Graph Learning: A Survey. CoRR (2024)
Yu Shi, Xi Zhang, Yuming Shang, Ning Yu
Don't Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection. IEEE Trans. Big Data 10 (3) (2024)
Yazheng Liu, Xi Zhang, Sihong Xie
A Differential Geometric View and Explainability of GNN on Evolving Graphs. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR (2024)
Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
Robust Ranking Explanations. CoRR (2023)
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR (2023)
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. IJCNN (2023)
Yazheng Liu, Xi Zhang, Sihong Xie
A Differential Geometric View and Explainability of GNN on Evolving Graphs. ICLR (2023)
Yanzhe Huang, Xi Zhang, Zechang Xu
SatEdge: Platform of Edge Cloud at Satellite and Scheduling Mechanism for Microservice Modules. IEEE Access 11 (2023)
Zheng Zhang, Yingsheng Ji, Jiachen Shen, Xi Zhang, Guangwen Yang
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users. CoRR (2022)
Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang
Multi-modal False Information Detection Based on Adversarial Learning. IJCNN (2022)
Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng
Explainable Survival Analysis with Convolution-Involved Vision Transformer. AAAI (2022)
Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie
Robust Ranking Explanations. CoRR (2022)
Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng
Predicting Rumor Veracity on Social Media with Graph Structured Multi-task Learning. DASFAA (3) (2022)
Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. AAAI (2022)
Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie
Subgroup Fairness in Graph-based Spam Detection. CoRR (2022)
Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang
Finding Route Hotspots in Large Labeled Networks. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie
Rigorous Explanation of Inference on Probabilistic Graphical Models. CoRR (2020)
Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, Binxing Fang
Mining top-k sequential patterns in transaction database graphs. World Wide Web 23 (1) (2020)
Jizhe Zhou, Xi Zhang, Wenbo Wang
Social-Aware Proactive Content Caching and Sharing in Multi-Access Edge Networks. IEEE Trans. Cogn. Commun. Netw. 6 (4) (2020)
Jing Li, Xi Zhang
Deep Reinforcement Learning-Based Joint Scheduling of eMBB and URLLC in 5G Networks. IEEE Wirel. Commun. Lett. 9 (9) (2020)
Jing Li, Xi Zhang, Jiaxin Zhang, Jie Wu, Qi Sun, Yuxuan Xie
Deep Reinforcement Learning-Based Mobility-Aware Robust Proactive Resource Allocation in Heterogeneous Networks. IEEE Trans. Cogn. Commun. Netw. 6 (1) (2020)
Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
Scalable Explanation of Inferences on Large Graphs. ICDM (2019)
Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data. Knowl. Inf. Syst. 61 (2) (2019)
Jieyun Huang, Xi Zhang, Binxing Fang
CoStock: A DeepFM Model for Stock Market Prediction with Attentional Embeddings. IEEE BigData (2019)
Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu
Understanding Information Diffusion via Heterogeneous Information Network Embeddings. DASFAA (1) (2019)
Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang
Efficiently Approximating Top- $k$ Sequential Patterns in Transactional Graphs. IEEE Access 7 (2019)
Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang
Finding Route Hotspots in Large Labeled Networks. CoRR (2019)
Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
IAD: Interaction-Aware Diffusion Framework in Social Networks. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang
PSMSP: A Parallelized Sampling-Based Approach for Mining Top-k Sequential Patterns in Database Graphs. DASFAA (3) (2019)
Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
Scalable Explanation of Inferences on Large Graphs. CoRR (2019)
Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data. CoRR (2018)
Zhongyue Pei, Xi Zhang, Fangwei Zhang, Binxing Fang
Attributed Multi-layer Network Embedding. IEEE BigData (2018)
Xi Zhang, Jiawei Shi, Di Wang, Binxing Fang
Exploiting investors social network for stock prediction in China's market. J. Comput. Sci. 28 (2018)
Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu
Improving Stock Market Prediction via Heterogeneous Information Fusion. CoRR (2018)
Jieyun Huang, Yunjia Zhang, Jialai Zhang, Xi Zhang
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction. DSC (2018)
Xi Zhang, Siyu Qu, Jieyun Huang, Binxing Fang, Philip S. Yu
Stock Market Prediction via Multi-Source Multiple Instance Learning. IEEE Access 6 (2018)
Xi Zhang, Jiawei Shi, Di Wang, Binxing Fang
Exploiting Investors Social Network for Stock Prediction in China's Market. CoRR (2018)
Jieyun Huang, Yunjia Zhang, Jialai Zhang, Xi Zhang
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction. CoRR (2018)
Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu
Improving stock market prediction via heterogeneous information fusion. Knowl. Based Syst. 143 (2018)
Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
IAD: Interaction-Aware Diffusion Framework in Social Networks. CoRR (2017)
Xi Zhang, Yingsheng Ji
Improving the Detection of Noise Artifacts in Gravitational-Wave Data With a Classifier Graph. IEEE Access 5 (2017)
Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
Efficient Revenue Maximization for Viral Marketing in Social Networks. ADMA (2017)
Yuntao Yao, Wei Wu, Mingtao Lei, Xi Zhang
Community Detection Based on Variable Vertex Influence. DSC (2016)
Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, Binxing Fang
Understanding Information Diffusion under Interactions. IJCAI (2016)
Yuan Su, Xi Zhang, Lixin Liu, Shouyou Song, Binxing Fang
Understanding information interactions in diffusion: an evolutionary game-theoretic perspective. Frontiers Comput. Sci. 10 (3) (2016)
Qipeng Yao, Xu Wu, Xi Zhang
Diffusion of Information in Mobile Social Networks: A Brief Survey. IEEE MS (2015)
Xu Wu, Weiyi Zhang, Xi Zhang, Jin Xu
A Method to Build and Expand the Domain Dictionary Automatically Based on WordNet. ISCTCS (2014)
Shuai Zhang, Yueming Lu, Xi Zhang
Cache Replacement Improving Based on User Group Interest Degree. ISCTCS (2014)
Jing Li, Yueming Lu, Xi Zhang
Extracting News Information Based on Webpage Segmentation and Parsing DOM Tree Reversely. ISCTCS (2014)
Xu Wu, Yue Fan, Xi Zhang, Jin Xu
Research of eID Mobile Identity Authentication Method. ISCTCS (2014)