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Xiang Zhang 0001
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Publications
- 2024
- [c59]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 - 2023
- [c58]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 - [c56]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 - [i23]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) - [i21]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) - [i19]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) - [i16]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - 2022
- [c52]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 - [i9]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) - 2021
- [c48]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 - [c47]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 - [c45]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS 2021: 30414-30425 - [c44]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 - [c43]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 - [i5]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) - [i4]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR abs/2110.15438 (2021) - 2020
- [j31]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) - [j30]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) - [c41]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 - [c37]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [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) - [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) - 2019
- [j29]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) - [c34]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 - [c33]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 - [c32]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 - 2018
- [j26]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) - [c30]Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang:
On Multi-query Local Community Detection. ICDM 2018: 9-18 - [c28]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
- [j23]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) - [c26]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 - [c25]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 - 2016
- [j22]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) - [j20]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) - [j17]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) - [c23]Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang:
Self-Grouping Multi-network Clustering. ICDM 2016: 1119-1124 - 2015
- [j15]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) - [c21]Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang:
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM 2015: 291-300 - 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) - [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) - 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
- [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 - [c12]Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang:
Dual Transfer Learning. SDM 2012: 540-551 - 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
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last updated on 2024-04-26 20:05 CEST by the dblp team
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