Xi Zhang

According to our database, Xi Zhang authored at least 83 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Survey of Text Watermarking in the Era of Large Language Models.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu

ACM Comput. Surv., February, 2025

Knowledge-aware multimodal pre-training for fake news detection.

Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li

Inf. Fusion, 2025

2024

Don't Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection.

Yu Shi, Xi Zhang, Yuming Shang, Ning Yu

IEEE Trans. Big Data, June, 2024

Predicting rumor veracity on social media with cross-channel interaction of multi-task.

Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng

Neural Comput. Appl., May, 2024

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs.

Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Xi Zhang

CoRR, 2024

Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy.

Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong

CoRR, 2024

Uncertainty Quantification on Graph Learning: A Survey.

Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu

CoRR, 2024

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection.

Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Xi Zhang, Chaozhuo Li

CoRR, 2024

Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph.

Zheng Zhang, Yingsheng Ji, Jiachen Shen, Yushu Chen, Xi Zhang, Guangwen Yang

Proceedings of the ACM on Web Conference 2024, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.

Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.

Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation.

Litian Zhang, Xiaoming Zhang, Chaozhuo Li, Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training.

Shiqin Liu, Chaozhuo Li, Xi Zhang, Minjun Zhao, Yuanbo Xu, Jiajun Bu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting.

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evidence Retrieval is almost All You Need for Fact Verification.

Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection.

Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu

IEEE Trans. Knowl. Data Eng., December, 2023

Explainable survival analysis with uncertainty using convolution-involved vision transformer.

Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang

Comput. Medical Imaging Graph., December, 2023

Robust Ranking Explanations.

Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie

CoRR, 2023

SatEdge: Platform of Edge Cloud at Satellite and Scheduling Mechanism for Microservice Modules.

Yanzhe Huang, Xi Zhang, Zechang Xu

IEEE Access, 2023

Enhanced CGSN System for Machine Reading Comprehension.

Liwen Zheng, Haoran Jia, Hongyan Xie, Xi Zhang, Yuming Shang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection.

Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

A Differential Geometric View and Explainability of GNN on Evolving Graphs.

Yazheng Liu, Xi Zhang, Sihong Xie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedValidate: A Robust Federated Learning Framework Based on Client-Side Validation.

Wenting Zhu, Zhe Liu, Zongyi Chen, Chuan Shi, Xi Zhang, Sanchuan Guo

Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

Clean-label Poisoning Attack against Fake News Detection Models.

Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li

Proceedings of the IEEE International Conference on Big Data, 2023

Improving Knowledge Distillation for Federated Learning on Non-IID Data.

Zongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Robust Ranking Explanations.

Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie

CoRR, 2022

Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users.

Zheng Zhang, Yingsheng Ji, Jiachen Shen, Xi Zhang, Guangwen Yang

CoRR, 2022

Subgroup Fairness in Graph-based Spam Detection.

Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie

CoRR, 2022

Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection.

Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Xi Zhang

CoRR, 2022

Multi-modal False Information Detection Based on Adversarial Learning.

Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection.

Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Predicting Rumor Veracity on Social Media with Graph Structured Multi-task Learning.

Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng

Proceedings of the Database Systems for Advanced Applications, 2022

Abusive Language Detection with Graph based Multi-task Learning.

Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

Trade less Accuracy for Fairness and Trade-off Explanation for GNN.

Yazheng Liu, Xi Zhang, Sihong Xie

Proceedings of the IEEE International Conference on Big Data, 2022

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media.

Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Explainable Survival Analysis with Convolution-Involved Vision Transformer.

Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Finding Route Hotspots in Large Labeled Networks.

Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang

IEEE Trans. Knowl. Data Eng., 2021

Explaining GNN over Evolving Graphs using Information Flow.

Yazheng Liu, Xi Zhang, Sihong Xie

CoRR, 2021

Dense Scale Network for Crowd Counting.

Feng Dai, Hao Liu, Yike Ma, Xi Zhang, Qiang Zhao

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Multi-objective Explanations of GNN Predictions.

Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie

Proceedings of the IEEE International Conference on Data Mining, 2021

Self-learn to Explain Siamese Networks Robustly.

Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie

Proceedings of the IEEE International Conference on Data Mining, 2021

Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection.

Mengzhu Sun, Xi Zhang, Jianqiang Ma, Yazheng Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Mining top-k sequential patterns in transaction database graphs.

Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, Binxing Fang

World Wide Web, 2020

Deep Reinforcement Learning-Based Joint Scheduling of eMBB and URLLC in 5G Networks.

Jing Li, Xi Zhang

IEEE Wirel. Commun. Lett., 2020

Social-Aware Proactive Content Caching and Sharing in Multi-Access Edge Networks.

Jizhe Zhou, Xi Zhang, Wenbo Wang

IEEE Trans. Cogn. Commun. Netw., 2020

Deep Reinforcement Learning-Based Mobility-Aware Robust Proactive Resource Allocation in Heterogeneous Networks.

Jing Li, Xi Zhang, Jiaxin Zhang, Jie Wu, Qi Sun, Yuxuan Xie

IEEE Trans. Cogn. Commun. Netw., 2020

Rigorous Explanation of Inference on Probabilistic Graphical Models.

Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie

CoRR, 2020

Rumor Detection on Social Media with Graph Structured Adversarial Learning.

Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Robust Text Clustering with Graph and Textual Adversarial Learning.

Yongming Liang, Tian Tian, Kaifu Jin, Xiaoyu Yang, Yuefei Lv, Xi Zhang

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection.

Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference.

Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Information Exchange in Public-Culture Service Domain Bason on CIEM.

Yashen Wang, Ge Shi, Xi Zhang

Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019

IAD: Interaction-Aware Diffusion Framework in Social Networks.

Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2019

Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data.

Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu

Knowl. Inf. Syst., 2019

Efficiently Approximating Top- $k$ Sequential Patterns in Transactional Graphs.

Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang

IEEE Access, 2019

Scalable Explanation of Inferences on Large Graphs.

Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Understanding Information Diffusion via Heterogeneous Information Network Embeddings.

Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu

Proceedings of the Database Systems for Advanced Applications, 2019

PSMSP: A Parallelized Sampling-Based Approach for Mining Top-k Sequential Patterns in Database Graphs.

Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang

Proceedings of the Database Systems for Advanced Applications, 2019

CoStock: A DeepFM Model for Stock Market Prediction with Attentional Embeddings.

Jieyun Huang, Xi Zhang, Binxing Fang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Improving stock market prediction via heterogeneous information fusion.

Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu

Knowl. Based Syst., 2018

Exploiting investors social network for stock prediction in China's market.

Xi Zhang, Jiawei Shi, Di Wang, Binxing Fang

J. Comput. Sci., 2018

Stock Market Prediction via Multi-Source Multiple Instance Learning.

Xi Zhang, Siyu Qu, Jieyun Huang, Binxing Fang, Philip S. Yu

IEEE Access, 2018

A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction.

Jieyun Huang, Yunjia Zhang, Jialai Zhang, Xi Zhang

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Attributed Multi-layer Network Embedding.

Zhongyue Pei, Xi Zhang, Fangwei Zhang, Binxing Fang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Improving the Detection of Noise Artifacts in Gravitational-Wave Data With a Classifier Graph.

Xi Zhang, Yingsheng Ji

IEEE Access, 2017

Efficient Revenue Maximization for Viral Marketing in Social Networks.

Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Understanding information interactions in diffusion: an evolutionary game-theoretic perspective.

Yuan Su, Xi Zhang, Lixin Liu, Shouyou Song, Binxing Fang

Frontiers Comput. Sci., 2016

Understanding Information Diffusion under Interactions.

Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, Binxing Fang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Community Detection Based on Variable Vertex Influence.

Yuntao Yao, Wei Wu, Mingtao Lei, Xi Zhang

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015

Diffusion of Information in Mobile Social Networks: A Brief Survey.

Qipeng Yao, Xu Wu, Xi Zhang

Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

2014

Cache Replacement Improving Based on User Group Interest Degree.

Shuai Zhang, Yueming Lu, Xi Zhang

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Monitoring Social Events on Sina Weibo.

Xi Zhang, Guanhong Jiang, Yuan Su

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

A Method to Build and Expand the Domain Dictionary Automatically Based on WordNet.

Xu Wu, Weiyi Zhang, Xi Zhang, Jin Xu

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Research of eID Mobile Identity Authentication Method.

Xu Wu, Yue Fan, Xi Zhang, Jin Xu

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Extracting News Information Based on Webpage Segmentation and Parsing DOM Tree Reversely.

Jing Li, Yueming Lu, Xi Zhang

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

2013

Improving Cache Partitioning Algorithms for Pseudo-LRU Policies.

Xi Zhang, Chuanyi Liu, Zhenyu Liu, Dongsheng Wang

IEICE Trans. Inf. Syst., 2013

Security Memory System for Mobile Device or Computer Against Memory Attacks.

Genxian Liu, Xi Zhang, Dongsheng Wang, Zhenyu Liu, Haixia Wang

Proceedings of the Trustworthy Computing and Services, 2013

2011

A Novel Cache Replacement Policy via Dynamic Adaptive Insertion and Re-Reference Prediction.

Xi Zhang, Chongmin Li, Zhenyu Liu, Haixia Wang, Dongsheng Wang, Takeshi Ikenaga

IEICE Trans. Electron., 2011

A Read-Write Aware Replacement Policy for Phase Change Memory.

Xi Zhang, Qian Hu, Dongsheng Wang, Chongmin Li, Haixia Wang

Proceedings of the Advanced Parallel Processing Technologies - 9th International Symposium, 2011

Enhanced Adaptive Insertion Policy for Shared Caches.

Chongmin Li, Dongsheng Wang, Yibo Xue, Haixia Wang, Xi Zhang

Proceedings of the Advanced Parallel Processing Technologies - 9th International Symposium, 2011

2010

A Cache Replacement Policy Using Adaptive Insertion and Re-reference Prediction.

Xi Zhang, Chongmin Li, Haixia Wang, Dongsheng Wang

Proceedings of the 22st International Symposium on Computer Architecture and High Performance Computing, 2010

Fast Hierarchical Cache Directory: A Scalable Cache Organization for Large-Scale CMP.

Chongmin Li, Haixia Wang, Yibo Xue, Xi Zhang, Dongsheng Wang

Proceedings of the Fifth International Conference on Networking, Architecture, and Storage, 2010

2009

A Novel Cache Organization for Tiled Chip Multiprocessor.

Xi Zhang, Dongsheng Wang, Yibo Xue, Haixia Wang, Jinglei Wang

Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009