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ORCIDXi Zhang 0008
Person information
- affiliation: Beijing University of Posts and Telecommunications, School of Computer Science / MoE Key Laboratory of Trustworthy Distributed Computing and Service, China
- affiliation (PhD 2012): Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Xi Zhang — disambiguation page
- Xi Zhang 0001 — RWTH Aachen University, Germany
- Xi Zhang 0002 — Royal Institute of Technology, Stockholm, Sweden
- Xi Zhang 0003 — University of New South Wales, Sydney, Australia
- Xi Zhang 0004
![[0000-0002-4762-0560]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4762-0560")
— Beijing Institute of Technology, School of Automation, China - Xi Zhang 0005 — Texas A&M University, Networking and Information Systems Laboratory, College Station, TX, USA (and 1 more)
- Xi Zhang 0006 — Peking University, Department of Industrial Engineering and Management, Beijing, China
- Xi Zhang 0007 — The Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong
- Xi Zhang 0009 (aka: Jacky Xi Zhang) — Tianjin University, College of Management and Economics, China (and 2 more)
- Xi Zhang 0010 — University of Electro-Communications, Tokyo, Japan
- Xi Zhang 0011 — China University of Mining and Technology, School of Mechanical Electronic & Information Engineering, Beijing, China
- Xi Zhang 0012 — Changzhou University, School of Information Science and Engineering, China (and 1 more)
- Xi Zhang 0013 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
- Xi Zhang 0014 — Imperial College London, Department of Electrical and Electronic Engineering, London, UK
- Xi Zhang 0015 — Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- Xi Zhang 0016 — Shanghai Jiao Tong University, School of Mechanical Engineering, China
- Xi Zhang 0017 — Fourth Military Medical University, School of Biomedical Engineering, Xi'an, Shaanxi, China
- Xi Zhang 0018 — Institute of Automation Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China
- Xi Zhang 0019 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Xi Zhang 0020 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Xi Zhang 0021 — Florida Institute of Technology, Melbourne, FL, USA
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2020 – today
- 2025
[j23]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025)- [j22]Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li:
Knowledge-aware multimodal pre-training for fake news detection. Inf. Fusion 114: 102715 (2025) - [j21]Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. IEEE Trans. Knowl. Data Eng. 37(2): 613-625 (2025) - [c54]Qingpo Yang, Yakai Chen, Zihui Xu, Yuming Shang, Sanchuan Guo, Xi Zhang:
SCCD: A Session-based Dataset for Chinese Cyberbullying Detection. COLING 2025: 9533-9545 - 2024
- [j20]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): 8681-8692 (2024) - [j19]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): 249-259 (2024) - [c53]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: 9274-9281 - [c52]Xuan Lin, Xi Zhang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng, Philip S. Yu:
CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. BIBM 2024: 707-712 - [c51]Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang:
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting. EMNLP 2024: 15654-15668 - [c50]Litian Zhang, Xiaoming Zhang, Chaozhuo Li, Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang:
Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation. ACM Multimedia 2024: 2842-2851 - [c49]Shiqin Liu, Chaozhuo Li, Xi Zhang, Minjun Zhao, Yuanbo Xu, Jiajun Bu:
Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training. ACM Multimedia 2024: 9505-9514 - [c48]Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie:
Training for Stable Explanation for Free. NeurIPS 2024 - [c47]Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang:
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning. NeurIPS 2024 - [c46]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: 1285-1295 - [c45]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: 1774-1784 - [c44]Zheng Zhang, Yingsheng Ji, Jiachen Shen, Yushu Chen, Xi Zhang, Guangwen Yang:
Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph. WWW 2024: 446-456 - [i24]Yazheng Liu, Xi Zhang, Sihong Xie:
A Differential Geometric View and Explainability of GNN on Evolving Graphs. CoRR abs/2403.06425 (2024) - [i23]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 abs/2404.01336 (2024) - [i22]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 abs/2404.14642 (2024) - [i21]Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR abs/2406.08229 (2024) - [i20]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 abs/2407.17745 (2024) - [i19]Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Xi Zhang:
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs. CoRR abs/2410.16327 (2024) - 2023
- [j18]Yanzhe Huang, Xi Zhang, Zechang Xu:
SatEdge: Platform of Edge Cloud at Satellite and Scheduling Mechanism for Microservice Modules. IEEE Access 11: 126283-126294 (2023) - [j17]Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang:
Explainable survival analysis with uncertainty using convolution-involved vision transformer. Comput. Medical Imaging Graph. 110: 102302 (2023) - [j16]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): 12736-12749 (2023) - [c43]Zongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang:
Improving Knowledge Distillation for Federated Learning on Non-IID Data. IEEE Big Data 2023: 598-607 - [c42]Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li:
Clean-label Poisoning Attack against Fake News Detection Models. IEEE Big Data 2023: 3614-3623 - [c41]Wenting Zhu, Zhe Liu, Zongyi Chen, Chuan Shi, Xi Zhang, Sanchuan Guo:
FedValidate: A Robust Federated Learning Framework Based on Client-Side Validation. DSC 2023: 337-344 - [c40]Yazheng Liu, Xi Zhang, Sihong Xie:
A Differential Geometric View and Explainability of GNN on Evolving Graphs. ICLR 2023 - [c39]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: 1-9 - [c38]Liwen Zheng, Haoran Jia, Hongyan Xie, Xi Zhang, Yuming Shang:
Enhanced CGSN System for Machine Reading Comprehension. NLPCC (3) 2023: 83-92 - [i18]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 abs/2306.02137 (2023) - [i17]Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. CoRR abs/2307.04024 (2023) - 2022
- [c37]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: 2207-2215 - [c36]Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma:
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. AAAI 2022: 4611-4619 - [c35]Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang:
Abusive Language Detection with Graph based Multi-task Learning. IEEE Big Data 2022: 675-684 - [c34]Yazheng Liu, Xi Zhang, Sihong Xie:
Trade less Accuracy for Fairness and Trade-off Explanation for GNN. IEEE Big Data 2022: 4681-4690 - [c33]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: 230-237 - [c32]Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang:
MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. IJCAI 2022: 2413-2419 - [c31]Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang:
Multi-modal False Information Detection Based on Adversarial Learning. IJCNN 2022: 1-9 - [i16]Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Xi Zhang:
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. CoRR abs/2201.05819 (2022) - [i15]Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie:
Subgroup Fairness in Graph-based Spam Detection. CoRR abs/2204.11164 (2022) - [i14]Zheng Zhang, Yingsheng Ji, Jiachen Shen, Xi Zhang, Guangwen Yang:
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users. CoRR abs/2204.11849 (2022) - [i13]Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. CoRR abs/2212.14106 (2022) - 2021
- [j15]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): 2479-2492 (2021) - [c30]Mengzhu Sun, Xi Zhang, Jianqiang Ma, Yazheng Liu:
Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection. EMNLP (Findings) 2021: 1412-1423 - [c29]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. ICDM 2021: 409-418 - [c28]Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. ICDM 2021: 1018-1023 - [c27]Feng Dai, Hao Liu, Yike Ma, Xi Zhang, Qiang Zhao:
Dense Scale Network for Crowd Counting. ICMR 2021: 64-72 - [i12]Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. CoRR abs/2109.07371 (2021) - [i11]Yazheng Liu, Xi Zhang, Sihong Xie:
Explaining GNN over Evolving Graphs using Information Flow. CoRR abs/2111.10037 (2021) - [i10]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. CoRR abs/2111.14651 (2021) - 2020
- [j14]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): 408-421 (2020) - [j13]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): 1308-1319 (2020) - [j12]Jing Li, Xi Zhang:
Deep Reinforcement Learning-Based Joint Scheduling of eMBB and URLLC in 5G Networks. IEEE Wirel. Commun. Lett. 9(9): 1543-1546 (2020) - [j11]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): 103-130 (2020) - [c26]Yashen Wang, Ge Shi, Xi Zhang:
Information Exchange in Public-Culture Service Domain Bason on CIEM. ACM TUR-C 2020: 45-49 - [c25]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. CIKM 2020: 945-954 - [c24]Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang:
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection. CIKM 2020: 1445-1454 - [c23]Yongming Liang, Tian Tian, Kaifu Jin, Xiaoyu Yang, Yuefei Lv, Xi Zhang:
Robust Text Clustering with Graph and Textual Adversarial Learning. DSC 2020: 190-197 - [c22]Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang:
Rumor Detection on Social Media with Graph Structured Adversarial Learning. IJCAI 2020: 1417-1423 - [i9]Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie:
Rigorous Explanation of Inference on Probabilistic Graphical Models. CoRR abs/2004.10066 (2020) - [i8]Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang:
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection. CoRR abs/2009.03823 (2020)
2010 – 2019
- 2019
- [j10]Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang:
Efficiently Approximating Top- $k$ Sequential Patterns in Transactional Graphs. IEEE Access 7: 62817-62832 (2019) - [j9]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): 1071-1090 (2019) - [j8]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): 1341-1354 (2019) - [c21]Jieyun Huang, Xi Zhang, Binxing Fang:
CoStock: A DeepFM Model for Stock Market Prediction with Attentional Embeddings. IEEE BigData 2019: 5522-5531 - [c20]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: 254-258 - [c19]Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu:
Understanding Information Diffusion via Heterogeneous Information Network Embeddings. DASFAA (1) 2019: 501-516 - [c18]Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie:
Scalable Explanation of Inferences on Large Graphs. ICDM 2019: 982-987 - [i7]Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie:
Scalable Explanation of Inferences on Large Graphs. CoRR abs/1908.06482 (2019) - [i6]Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang:
Finding Route Hotspots in Large Labeled Networks. CoRR abs/1911.11354 (2019) - 2018
- [j7]Xi Zhang, Siyu Qu, Jieyun Huang, Binxing Fang, Philip S. Yu:
Stock Market Prediction via Multi-Source Multiple Instance Learning. IEEE Access 6: 50720-50728 (2018) - [j6]Xi Zhang, Jiawei Shi, Di Wang, Binxing Fang:
Exploiting investors social network for stock prediction in China's market. J. Comput. Sci. 28: 294-303 (2018) - [j5]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: 236-247 (2018) - [c17]Zhongyue Pei, Xi Zhang, Fangwei Zhang, Binxing Fang:
Attributed Multi-layer Network Embedding. IEEE BigData 2018: 3701-3710 - [c16]Jieyun Huang, Yunjia Zhang, Jialai Zhang, Xi Zhang:
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction. DSC 2018: 716-721 - [i5]Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu:
Improving Stock Market Prediction via Heterogeneous Information Fusion. CoRR abs/1801.00588 (2018) - [i4]Xi Zhang, Jiawei Shi, Di Wang, Binxing Fang:
Exploiting Investors Social Network for Stock Prediction in China's Market. CoRR abs/1801.00597 (2018) - [i3]Jieyun Huang, Yunjia Zhang, Jialai Zhang, Xi Zhang:
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction. CoRR abs/1805.07979 (2018) - [i2]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 abs/1809.00306 (2018) - 2017
- [j4]Xi Zhang, Yingsheng Ji:
Improving the Detection of Noise Artifacts in Gravitational-Wave Data With a Classifier Graph. IEEE Access 5: 7975-7984 (2017) - [c15]Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang:
Efficient Revenue Maximization for Viral Marketing in Social Networks. ADMA 2017: 209-224 - [i1]Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu:
IAD: Interaction-Aware Diffusion Framework in Social Networks. CoRR abs/1709.01773 (2017) - 2016
- [j3]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): 518-531 (2016) - [c14]Yuntao Yao, Wei Wu, Mingtao Lei, Xi Zhang:
Community Detection Based on Variable Vertex Influence. DSC 2016: 418-423 - [c13]Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, Binxing Fang:
Understanding Information Diffusion under Interactions. IJCAI 2016: 3875-3881 - 2015
- [c12]Qipeng Yao, Xu Wu, Xi Zhang:
Diffusion of Information in Mobile Social Networks: A Brief Survey. IEEE MS 2015: 254-260 - [e1]Yueming Lu, Xu Wu, Xi Zhang:
Trustworthy Computing and Services - International Conference, ISCTCS 2014, Beijing, China, November 28-29, 2014, Revised Selected Papers. Communications in Computer and Information Science 520, Springer 2015, ISBN 978-3-662-47400-6 [contents] - 2014
- [c11]Shuai Zhang, Yueming Lu, Xi Zhang:
Cache Replacement Improving Based on User Group Interest Degree. ISCTCS 2014: 1-7 - [c10]Jing Li, Yueming Lu, Xi Zhang:
Extracting News Information Based on Webpage Segmentation and Parsing DOM Tree Reversely. ISCTCS 2014: 48-55 - [c9]Xi Zhang, Guanhong Jiang, Yuan Su:
Monitoring Social Events on Sina Weibo. ISCTCS 2014: 328-335 - [c8]Xu Wu, Yue Fan, Xi Zhang, Jin Xu:
Research of eID Mobile Identity Authentication Method. ISCTCS 2014: 350-358 - [c7]Xu Wu, Weiyi Zhang, Xi Zhang, Jin Xu:
A Method to Build and Expand the Domain Dictionary Automatically Based on WordNet. ISCTCS 2014: 370-381 - 2013
- [j2]Xi Zhang, Chuanyi Liu, Zhenyu Liu, Dongsheng Wang:
Improving Cache Partitioning Algorithms for Pseudo-LRU Policies. IEICE Trans. Inf. Syst. 96-D(12): 2514-2523 (2013) - [c6]Genxian Liu, Xi Zhang, Dongsheng Wang, Zhenyu Liu, Haixia Wang:
Security Memory System for Mobile Device or Computer Against Memory Attacks. ISCTCS 2013: 1-8 - 2011
- [j1]Xi Zhang, Chongmin Li, Zhenyu Liu, Haixia Wang, Dongsheng Wang, Takeshi Ikenaga:
A Novel Cache Replacement Policy via Dynamic Adaptive Insertion and Re-Reference Prediction. IEICE Trans. Electron. 94-C(4): 468-476 (2011) - [c5]Chongmin Li, Dongsheng Wang, Yibo Xue, Haixia Wang, Xi Zhang:
Enhanced Adaptive Insertion Policy for Shared Caches. APPT 2011: 16-30 - [c4]Xi Zhang, Qian Hu, Dongsheng Wang, Chongmin Li, Haixia Wang:
A Read-Write Aware Replacement Policy for Phase Change Memory. APPT 2011: 31-45 - 2010
- [c3]Chongmin Li, Haixia Wang, Yibo Xue, Xi Zhang, Dongsheng Wang:
Fast Hierarchical Cache Directory: A Scalable Cache Organization for Large-Scale CMP. NAS 2010: 367-376 - [c2]Xi Zhang, Chongmin Li, Haixia Wang, Dongsheng Wang:
A Cache Replacement Policy Using Adaptive Insertion and Re-reference Prediction. SBAC-PAD 2010: 95-102
2000 – 2009
- 2009
- [c1]Xi Zhang, Dongsheng Wang, Yibo Xue, Haixia Wang, Jinglei Wang:
A Novel Cache Organization for Tiled Chip Multiprocessor. APPT 2009: 41-53
Coauthor Index
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