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ORCIDXiang Zhang 0001
Person information
- affiliation: Pennsylvania State University, University Park, PA, USA
- affiliation (former): Case Western Reserve University, Cleveland, OH, USA
- affiliation (PhD 2011): University of North Carolina at Chapel Hill, NC, USA
Other persons with the same name
- Xiang Zhang — disambiguation page
- Xiang Zhang 0002
![[0000-0002-1017-742X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1017-742X")
— Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China (and 1 more) - Xiang Zhang 0003 — University of Louisville, Department of Chemistry, KY, USA
- Xiang Zhang 0004 — Tencent America, Media Laboratory, Palo Alto, CA, USA (and 1 more)
- Xiang Zhang 0005 — Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
- Xiang Zhang 0006 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China (and 1 more)
- Xiang Zhang 0007 — Nanyang Technological University, School of Electrical and Electronic Engineering, Centre of Excellence in IC Design, Singapore
- Xiang Zhang 0008 — National University of Defense Technology, College of Computer, Science and Technology on Parallel and Distributed Processing Laboratory, Changsha, China
- Xiang Zhang 0009 — Shanghai Jiao Tong University, School of Mathematical Sciences, Key Laboratory of Scientific and Engineering Computing, Shanghai, China
- Xiang Zhang 0010 — Wuhan University, School of Resource and Environmental Sciences, Wuhan, China
- Xiang Zhang 0011 — Hefei University of Technology, China
- Xiang Zhang 0012 — University of North Carolina at Charlotte, Department of Computer Science, NC, USA (and 2 more)
- Xiang Zhang 0013 — New York University, NY, USA (and 1 more)
- Xiang Zhang 0014 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, China
- Xiang Zhang 0015 — UC San Diego, CA, USA (and 1 more)
- Xiang Zhang 0016 — University of Wyoming, Department of Mechanical Engineering, Laramie, WY, USA
- Xiang Zhang 0017 — Dalian Maritime University, College of Transportation Engineering, Liaoning, China (and 1 more)
- Xiang Zhang 0018 — Northwest University, School of Information and Technology, Xi'an, China
- Xiang Zhang 0019 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA
- Xiang Zhang 0020 — University of California Berkeley, Department of Mechanical Engineering, CA, USA
- Xiang Zhang 0021 — LASAC, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China (and 1 more)
- Xiang Zhang 0022 — Wuhan University, School of Electronic Information, China
- Xiang Zhang 0023 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Xiang Zhang 0024 — Beijing University of Posts and Telecommunications, China Academy of Information and Communications Technology, Beijing, China
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2020 – today
- 2024
[j37]Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang:
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5245-5259 (2024)- [c65]Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Shape-aware Graph Spectral Learning. CIKM 2024: 2692-2701 - [c64]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD 2024: 4479-4489 - [c63]Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang:
Universal Prompt Optimizer for Safe Text-to-Image Generation. NAACL-HLT 2024: 6340-6354 - [c62]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM 2024: 967-975 - [c61]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Disambiguated Node Classification with Graph Neural Networks. WWW 2024: 914-923 - [i31]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Disambiguated Node Classification with Graph Neural Networks. CoRR abs/2402.08824 (2024) - [i30]Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang:
Universal Prompt Optimizer for Safe Text-to-Image Generation. CoRR abs/2402.10882 (2024) - [i29]Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang:
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. CoRR abs/2406.01032 (2024) - [i28]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. CoRR abs/2406.10425 (2024) - [i27]Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li:
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR abs/2406.13763 (2024) - 2023
- [j36]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. 14(5): 92:1-92:23 (2023) - [j35]Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang:
Random Walk on Multiple Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8417-8430 (2023) - [c60]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI 2023: 4534-4542 - [c59]Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen:
GC-Flow: A Graph-Based Flow Network for Effective Clustering. ICML 2023: 36157-36173 - [c58]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD 2023: 3513-3524 - [c57]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. NeurIPS 2023 - [c56]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Towards Faithful and Consistent Explanations for Graph Neural Networks. WSDM 2023: 634-642 - [c55]Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW 2023: 2263-2273 - [i26]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. CoRR abs/2301.02791 (2023) - [i25]Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR abs/2303.01263 (2023) - [i24]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR abs/2303.11911 (2023) - [i23]Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen:
GC-Flow: A Graph-Based Flow Network for Effective Clustering. CoRR abs/2305.17284 (2023) - [i22]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR abs/2306.07919 (2023) - [i21]Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang:
Random Walk on Multiple Networks. CoRR abs/2307.01637 (2023) - [i20]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR abs/2310.00489 (2023) - [i19]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. CoRR abs/2310.03312 (2023) - [i18]Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR abs/2310.10064 (2023) - [i17]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - 2022
- [j34]Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai:
A Collective Approach to Scholar Name Disambiguation. IEEE Trans. Knowl. Data Eng. 34(5): 2020-2032 (2022) - [c54]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM 2022: 1197-1202 - [c53]Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang:
HP-GMN: Graph Memory Networks for Heterophilous Graphs. ICDM 2022: 1263-1268 - [c52]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. LoG 2022: 37 - [c51]Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS 2022 - [c50]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Exploring Edge Disentanglement for Node Classification. WWW 2022: 1028-1036 - [i16]Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR abs/2201.12507 (2022) - [i15]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Exploring Edge Disentanglement for Node Classification. CoRR abs/2202.11245 (2022) - [i14]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
On Consistency in Graph Neural Network Interpretation. CoRR abs/2205.13733 (2022) - [i13]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. CoRR abs/2206.05335 (2022) - [i12]Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang:
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. CoRR abs/2208.01820 (2022) - [i11]Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang:
HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR abs/2210.08195 (2022) - [i10]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022) - [i9]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
TopoImb: Toward Topology-level Imbalance in Learning from Graphs. CoRR abs/2212.08689 (2022) - 2021
- [c49]Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI 2021: 4546-4554 - [c48]Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang:
Multi-Task Recurrent Modular Networks. AAAI 2021: 10496-10504 - [c47]Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai:
A Collective Approach to Scholar Name Disambiguation (Extended Abstract). ICDE 2021: 2317-2318 - [c46]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS 2021: 30414-30425 - [c45]Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang:
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM 2021: 91-99 - [c44]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM 2021: 779-787 - [c43]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. WSDM 2021: 833-841 - [i8]Tianxiang Zhao, Xiang Zhang, Suhang Wang:
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. CoRR abs/2103.08826 (2021) - [i7]Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang:
Semi-Supervised Graph-to-Graph Translation. CoRR abs/2103.08827 (2021) - [i6]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i5]Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou:
BM-NAS: Bilevel Multimodal Neural Architecture Search. CoRR abs/2104.09379 (2021) - [i4]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR abs/2110.15438 (2021) - 2020
- [j33]Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang:
Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62(5): 2067-2101 (2020) - [j32]Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang:
Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62(5): 2103-2104 (2020) - [j31]Feng Han, Yameng Gu, Gregory L. Brown, Xiang Zhang, Xiao Liu:
Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics. NeuroImage 215: 116853 (2020) - [c42]Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI 2020: 1395-1402 - [c41]Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang:
Semi-Supervised Graph-to-Graph Translation. CIKM 2020: 1863-1872 - [c40]Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang:
Rethinking Local Community Detection: Query Nodes Replacement. ICDM 2020: 930-935 - [c39]Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang:
Local Community Detection in Multiple Networks. KDD 2020: 266-274 - [c38]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [c37]Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang:
Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM 2020: 393-401 - [i3]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. CoRR abs/2011.04573 (2020) - [i2]Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan:
Attentive Social Recommendation: Towards User And Item Diversities. CoRR abs/2011.04797 (2020) - [i1]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR abs/2011.07057 (2020)
2010 – 2019
- 2019
- [j30]Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang:
The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. 60(3): 1663-1691 (2019) - [j29]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22(3): 1099-1129 (2019) - [c36]Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo:
On Generating Dominators of Customer Preferences. IEEE BigData 2019: 2177-2186 - [c35]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang:
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM 2019: 1402-1407 - [c34]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang:
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI 2019: 3947-3953 - [c33]Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. SDM 2019: 414-422 - [c32]Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang:
Constrained Local Graph Clustering by Colored Random Walk. WWW 2019: 2137-2146 - 2018
- [j28]Xiaojin Li, Licong Cui, Shiqiang Tao, Jing Chen, Xiang Zhang, Guo-Qiang Zhang:
HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring. IEEE J. Biomed. Health Informatics 22(2): 375-385 (2018) - [j27]Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang:
ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. 30(3): 435-448 (2018) - [j26]Yubao Wu, Xiang Zhang, Yuchen Bian, Zhipeng Cai, Xiang Lian, Xueting Liao, Fengpan Zhao:
Second-order random walk-based proximity measures in graph analysis: formulations and algorithms. VLDB J. 27(1): 127-152 (2018) - [c31]Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang:
On Multi-query Local Community Detection. ICDM 2018: 9-18 - [c30]Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang:
Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) 2018: 490-501 - [c29]Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang:
Co-Regularized Deep Multi-Network Embedding. WWW 2018: 469-478 - 2017
- [j25]Yuan Li, Yuhai Zhao, Guoren Wang, Xiaofeng Zhu, Xiang Zhang, Zhanghui Wang, Jun Pang:
Finding susceptible and protective interaction patterns in large-scale genetic association study. Frontiers Comput. Sci. 11(3): 541-554 (2017) - [j24]Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang:
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11(4): 40:1-40:28 (2017) - [c28]Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang:
Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE 2017: 163-166 - [c27]Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang:
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM 2017: 21-30 - [c26]Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang:
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM 2017: 1003-1008 - [c25]Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang:
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM 2017: 1009-1014 - 2016
- [j23]Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang:
Sparse regression models for unraveling group and individual associations in eQTL mapping. BMC Bioinform. 17: 136 (2016) - [j22]Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang:
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. 17: 453:1-453:13 (2016) - [j21]Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang:
HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. 46(2): 343-367 (2016) - [j20]Yubao Wu, Yuchen Bian, Xiang Zhang:
Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures. Proc. VLDB Endow. 10(1): 13-24 (2016) - [j19]Yubao Wu, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, Xiang Zhang:
Mining Dual Networks: Models, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data 10(4): 40:1-40:37 (2016) - [j18]Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang:
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data 10(4): 46:1-46:27 (2016) - [j17]Yubao Wu, Ruoming Jin, Xiang Zhang:
Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. IEEE Trans. Knowl. Data Eng. 28(5): 1160-1174 (2016) - [c24]Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang:
Self-Grouping Multi-network Clustering. ICDM 2016: 1119-1124 - 2015
- [j16]Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang:
Fast and robust group-wise eQTL mapping using sparse graphical models. BMC Bioinform. 16: 2:1-2:16 (2015) - [j15]Yang Chen, Xiang Zhang, Guo-Qiang Zhang, Rong Xu:
Comparative analysis of a novel disease phenotype network based on clinical manifestations. J. Biomed. Informatics 53: 113-120 (2015) - [j14]Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang:
Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. 8(7): 798-809 (2015) - [c23]Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang:
Finding dense and connected subgraphs in dual networks. ICDE 2015: 915-926 - [c22]Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang:
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM 2015: 291-300 - [c21]Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Flexible and Robust Multi-Network Clustering. KDD 2015: 835-844 - 2014
- [j13]Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang:
Graph-regularized dual Lasso for robust eQTL mapping. Bioinform. 30(12): 139-148 (2014) - [j12]Wenhui Wang, Sen Yang, Xiang Zhang, Jing Li:
Drug repositioning by integrating target information through a heterogeneous network model. Bioinform. 30(20): 2923-2930 (2014) - [j11]Yu Xiang, Wei Wang, Xiang Zhang, Zhenwei Li:
Performance research on time-triggered Ethernet based on network calculus. EURASIP J. Wirel. Commun. Netw. 2014: 12 (2014) - [j10]Yuhai Zhao, Guoren Wang, Xiang Zhang, Jeffrey Xu Yu, Zhanghui Wang:
Learning Phenotype Structure Using Sequence Model. IEEE Trans. Knowl. Data Eng. 26(3): 667-681 (2014) - [j9]Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang:
Searching Dimension Incomplete Databases. IEEE Trans. Knowl. Data Eng. 26(3): 725-738 (2014) - [c20]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-Regularized One-Class Collaborative Filtering. CIKM 2014: 759-768 - [c19]Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Inside the atoms: ranking on a network of networks. KDD 2014: 1356-1365 - [c18]Yubao Wu, Ruoming Jin, Xiang Zhang:
Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. SIGMOD Conference 2014: 1139-1150 - 2013
- [j8]Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang:
GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. Bioinform. 29(13): 291-299 (2013) - [c17]Yang Chen, Xiang Zhang, Guoqiang Zhang, Rong Xu:
Creation and Comparative Analysis of a Novel Disease Phenotype Network Based on Clinical Manifestation. AMIA 2013 - [c16]Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang:
Flexible and robust co-regularized multi-domain graph clustering. KDD 2013: 320-328 - 2012
- [j7]Xiang Zhang, Shunping Huang, Zhaojun Zhang, Wei Wang:
Chapter 10: Mining Genome-Wide Genetic Markers. PLoS Comput. Biol. 8(12) (2012) - [c15]Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang:
Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB 2012: 466-473 - [c14]Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang:
Hierarchical co-clustering based on entropy splitting. CIKM 2012: 1472-1476 - [c13]Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang:
Metric Learning from Relative Comparisons by Minimizing Squared Residual. ICDM 2012: 978-983 - [c12]Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang:
Dual Transfer Learning. SDM 2012: 540-551 - 2011
- [j6]Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang:
Tools for efficient epistasis detection in genome-wide association study. Source Code Biol. Medicine 6: 1 (2011) - [c11]Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang:
Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT 2011: 323-330 - 2010
- [j5]Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang:
TEAM: efficient two-locus epistasis tests in human genome-wide association study. Bioinform. 26(12): 217-227 (2010) - [j4]Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang:
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. J. Comput. Biol. 17(3): 401-415 (2010) - [p1]Xiang Zhang, Feng Pan, Wei Wang:
Finding High-Order Correlations in High-Dimensional Biological Data. Link Mining 2010: 505-534
2000 – 2009
- 2009
- [j3]Xiang Zhang, Fei Zou, Wei Wang:
Efficient algorithms for genome-wide association study. ACM Trans. Knowl. Discov. Data 3(4): 19:1-19:28 (2009) - [c10]Xiang Zhang, Fei Zou, Wei Wang:
FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions. Pacific Symposium on Biocomputing 2009: 528-539 - [c9]Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang:
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. RECOMB 2009: 253-269 - 2008
- [j2]Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel:
Mining non-redundant high order correlations in binary data. Proc. VLDB Endow. 1(1): 1178-1188 (2008) - [c8]Xiang Zhang, Feng Pan, Wei Wang:
REDUS: finding reducible subspaces in high dimensional data. CIKM 2008: 961-970 - [c7]Xiang Zhang, Feng Pan, Wei Wang:
CARE: Finding Local Linear Correlations in High Dimensional Data. ICDE 2008: 130-139 - [c6]Feng Pan, Xiang Zhang, Wei Wang:
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. ICDE 2008: 1337-1339 - [c5]Xiang Zhang, Fei Zou, Wei Wang:
Fastanova: an efficient algorithm for genome-wide association study. KDD 2008: 821-829 - [c4]Feng Pan, Xiang Zhang, Wei Wang:
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. SIGMOD Conference 2008: 173-184 - 2007
- [c3]Xiang Zhang, Wei Wang, Jun Huan:
On Demand Phenotype Ranking through Subspace Clustering. SDM 2007: 623-628 - [c2]Xiang Zhang, Wei Wang:
An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays. SSDBM 2007: 32 - 2006
- [c1]Xiang Zhang, Wei Wang:
Mining coherent patterns from heterogeneous microarray data. CIKM 2006: 838-839 - 2004
- [j1]Emre Karakoç, Z. Meral Özsoyoglu, Süleyman Cenk Sahinalp, Murat Tasan, Xiang Zhang:
Novel Approaches to Biomolecular Sequence Indexing. IEEE Data Eng. Bull. 27(3): 40-47 (2004)
Coauthor Index
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