Остановите войну!
for scientists:
default search action
Chuan Zhou 0001
Person information
- unicode name: 周川
- affiliation: Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
- affiliation (former): Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
Other persons with the same name
- Chuan Zhou — disambiguation page
- Chuan Zhou 0002 — University of Michigan, Department of Radiology, Ann Arbor, MI, USA
- Chuan Zhou 0003 — Nanjing University of Science and Technology, Nanjing, China
- Chuan Zhou 0004 — University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Chuan Zhou 0005 — Seattle Children's Research Institute, Seattle, WA, USA
- Chuan Zhou 0006 — Jiangsu University of Technology, Changzhou, China
- Chuan Zhou 0007 — North China University of Technology, Beijing, China
- Chuan Zhou 0008 — Zhejiang University, Hangzhou, China
- Chuan Zhou 0009 — University of Georgia, Athens, GA, USA
- Chuan Zhou 0010 — Chinese Academy of Science, Shenyang Institute of Automation, Shenyang, China
- Chuan Zhou 0011 — Chian Unicom, Luoyang, China
- Chuan Zhou 0012 — Vanderbilt University Medical Center, Nashville, TN, USA
- Chuan Zhou 0013 — Peking University, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j34]Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin:
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [j33]Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian:
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4607-4621 (2024) - [j32]Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - [j31]Zhen Liu, Wenbo Zuo, Dongning Zhang, Chuan Zhou:
Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression. IEEE Trans. Netw. Sci. Eng. 11(1): 89-99 (2024) - [j30]Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan:
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27(3): 32 (2024) - [c86]Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen:
Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. ICASSP 2024: 5195-5199 - [i23]Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen:
Combinatorial Optimization with Automated Graph Neural Networks. CoRR abs/2406.02872 (2024) - [i22]Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Combinatorial Optimization. CoRR abs/2406.03647 (2024) - [i21]Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu:
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. CoRR abs/2407.16115 (2024) - 2023
- [j29]Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang:
Deep spatial-temporal structure learning for rumor detection on Twitter. Neural Comput. Appl. 35(18): 12995-13005 (2023) - [j28]Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang:
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognit. 133: 109042 (2023) - [j27]Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j26]Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou:
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 6973-6987 (2023) - [j25]He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan:
Projective Ranking-Based GNN Evasion Attacks. IEEE Trans. Knowl. Data Eng. 35(8): 8402-8416 (2023) - [j24]Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu:
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9448-9461 (2023) - [j23]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu:
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. 35(12): 12012-12038 (2023) - [j22]Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao:
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(1): 186-200 (2023) - [j21]Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li:
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Trans. Inf. Syst. 41(4): 83:1-83:26 (2023) - [c85]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. IEEE Big Data 2023: 473-482 - [c84]Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou:
Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. ECIR (2) 2023: 304-318 - [c83]Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen:
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. ICDM 2023: 808-817 - [c82]Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Graph Learning and Optimization. ICDM 2023: 1151-1156 - [c81]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS 2023 - [c80]Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang:
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. WWW 2023: 221-230 - [c79]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW 2023: 611-620 - [i20]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i19]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. CoRR abs/2302.12357 (2023) - [i18]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR abs/2304.10045 (2023) - [i17]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR abs/2310.14586 (2023) - 2022
- [j20]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [j19]Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao:
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40(3): 47:1-47:29 (2022) - [j18]Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu:
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25(1): 239-258 (2022) - [c78]Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu:
Wlinker: Modeling Relational Triplet Extraction As Word Linking. ICASSP 2022: 6357-6361 - [c77]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM 2022: 259-268 - [c76]Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan:
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. ICDM 2022: 783-792 - [c75]Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li:
Task-level Relations Modelling for Graph Meta-learning. ICDM 2022: 813-822 - [c74]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. KDD 2022: 2130-2139 - [c73]Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab:
Pseudo-Riemannian Graph Convolutional Networks. NeurIPS 2022 - [c72]Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal:
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS 2022 - [c71]Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang:
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. WSDM 2022: 192-200 - [c70]Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu:
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. WWW 2022: 1486-1494 - [i16]He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan:
Projective Ranking-based GNN Evasion Attacks. CoRR abs/2202.12993 (2022) - [i15]Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal:
Graph-level Neural Networks: Current Progress and Future Directions. CoRR abs/2205.15555 (2022) - [i14]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. CoRR abs/2206.00449 (2022) - [i13]Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang:
Geometry Contrastive Learning on Heterogeneous Graphs. CoRR abs/2206.12547 (2022) - [i12]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR abs/2210.09766 (2022) - [i11]Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan:
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. CoRR abs/2211.14523 (2022) - 2021
- [j17]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [j16]Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan:
Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing 466: 265-284 (2021) - [j15]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [c69]He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan:
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM 2021: 3617-3621 - [c68]Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu:
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM 2021: 4184-4192 - [c67]Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang:
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM 2021: 360-369 - [c66]Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng:
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM 2021: 867-876 - [c65]Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu:
Heterogeneous Graph Neural Architecture Search. ICDM 2021: 1066-1071 - [c64]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [c63]Yongxiu Xu, Heyan Huang, Chong Feng, Chuan Zhou, Jiarui Zhang, Yue Hu:
A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources. IJCNN 2021: 1-8 - [c62]Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang:
Task-adaptive Neural Process for User Cold-Start Recommendation. WWW 2021: 1306-1316 - [i10]Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. CoRR abs/2103.00111 (2021) - [i9]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR abs/2103.00113 (2021) - [i8]Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang:
Task-adaptive Neural Process for User Cold-Start Recommendation. CoRR abs/2103.06137 (2021) - [i7]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR abs/2105.05682 (2021) - [i6]Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection with Deep Learning. CoRR abs/2105.12584 (2021) - [i5]Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab:
Semi-Riemannian Graph Convolutional Networks. CoRR abs/2106.03134 (2021) - 2020
- [j14]Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang:
Weighted partial order oriented three-way decisions under score-based common voting rules. Int. J. Approx. Reason. 123: 41-54 (2020) - [j13]Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng:
Detecting the evolving community structure in dynamic social networks. World Wide Web 23(2): 715-733 (2020) - [c61]Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang:
GSSNN: Graph Smoothing Splines Neural Networks. AAAI 2020: 7007-7014 - [c60]Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing:
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. ICDM 2020: 601-610 - [c59]Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang:
Exploratory Adversarial Attacks on Graph Neural Networks. ICDM 2020: 1136-1141 - [c58]Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang:
Deep Semantic Network Representation. ICDM 2020: 1154-1159 - [c57]Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang:
Discrete Embedding for Latent Networks. IJCAI 2020: 1223-1229 - [c56]Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
Graph Neural Architecture Search. IJCAI 2020: 1403-1409 - [c55]Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari:
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. IJCAI 2020: 1926-1932 - [c54]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI 2020: 4981-4987 - [c53]Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang:
Graph Stochastic Neural Networks for Semi-supervised Learning. NeurIPS 2020 - [c52]Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang:
Graph Geometry Interaction Learning. NeurIPS 2020 - [c51]Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu:
Unsupervised Domain Adaptive Graph Convolutional Networks. WWW 2020: 1457-1467 - [i4]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. CoRR abs/2005.08225 (2020) - [i3]Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang:
Graph Geometry Interaction Learning. CoRR abs/2010.12135 (2020)
2010 – 2019
- 2019
- [j12]Xin Li, Liang Yang, Yi Li, Chuan Zhou:
Deep trajectory: a deep learning approach for mobile advertising in vehicular networks. Neural Comput. Appl. 31(7): 2813-2825 (2019) - [j11]Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu:
Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. 10(5): 53:1-53:23 (2019) - [c50]Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang:
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. ICDM 2019: 429-438 - [c49]Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan:
Domain-Adversarial Graph Neural Networks for Text Classification. ICDM 2019: 648-657 - [c48]Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang:
Relation Structure-Aware Heterogeneous Graph Neural Network. ICDM 2019: 1534-1539 - [c47]Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. IJCAI 2019: 2151-2157 - [c46]Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang:
Low-Bit Quantization for Attributed Network Representation Learning. IJCAI 2019: 4047-4053 - [c45]Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang:
Deep Structure Learning for Rumor Detection on Twitter. IJCNN 2019: 1-8 - [c44]Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang:
Evolutionary Community Detection in Dynamic Social Networks. IJCNN 2019: 1-7 - [c43]Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo:
Smooth Deep Network Embedding. IJCNN 2019: 1-8 - [i2]Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. CoRR abs/1904.09981 (2019) - [i1]Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. CoRR abs/1906.07318 (2019) - 2018
- [j10]Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang:
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications. Complex. 2018: 7861860:1-7861860:3 (2018) - [j9]Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu:
Collective semantic behavior extraction in social networks. J. Comput. Sci. 28: 236-244 (2018) - [j8]Chuan Zhou, Weixue Lu, Jingzun Zhang, Lei Li, Yue Hu, Li Guo:
Early detection of dynamic harmful cascades in large-scale networks. J. Comput. Sci. 28: 304-317 (2018) - [c42]Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo:
Social Recommendation with an Essential Preference Space. AAAI 2018: 346-353 - [c41]Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu:
Multi-target Core Network-Based Networked Multi-label Classification. ICBK 2018: 274-281 - [c40]Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang:
Deep Structure Learning for Fraud Detection. ICDM 2018: 567-576 - [c39]Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu:
Active Discriminative Network Representation Learning. IJCAI 2018: 2142-2148 - [c38]Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu:
Recommendation with Multi-Source Heterogeneous Information. IJCAI 2018: 3378-3384 - [c37]Anfeng Cheng, Chun-Yi Liu, Chuan Zhou, Jianlong Tan, Li Guo:
User Alignment via Structural Interaction and Propagation. IJCNN 2018: 1-8 - [c36]Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo:
iWalk: Interest-Aware Random Walk for Network Embedding. IJCNN 2018: 1-8 - [c35]Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo:
FraudNE: a Joint Embedding Approach for Fraud Detection. IJCNN 2018: 1-8 - 2017
- [j7]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang:
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. Data Min. Knowl. Discov. 31(1): 32-64 (2017) - [j6]Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai:
Instance cloned extreme learning machine. Pattern Recognit. 68: 52-65 (2017) - [c34]Li Gao, Jia Wu, Chuan Zhou, Yue Hu:
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. AAAI 2017: 1316-1322 - [c33]Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, Chuan Zhou:
Double-bit quantization and weighting for nearest neighbor search. ICASSP 2017: 1717-1721 - [c32]Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo:
CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. IJCNN 2017: 1532-1539 - [c31]Shun Liu, Hongtao Xie, Chuan Zhou, Zhendong Mao:
Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs. MMM (1) 2017: 490-500 - 2016
- [j5]Weixue Lu, Chuan Zhou, Jia Wu:
Big social network influence maximization via recursively estimating influence spread. Knowl. Based Syst. 113: 143-154 (2016) - [c30]Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo:
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. AAAI 2016: 79-86 - [c29]Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu:
Collaborative Social Group Influence for Event Recommendation. CIKM 2016: 1941-1944 - [c28]Yao Lu, Zhi Qiao, Chuan Zhou, Yue Hu, Li Guo:
Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach. CIKM 2016: 1957-1960 - [c27]Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai:
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) 2016: 229-241 - [c26]Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu:
Semi-Data-Driven Network Coarsening. IJCAI 2016: 1483-1489 - [c25]Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu:
Mining subcascade features for cascade outbreak prediction in big networks. IJCNN 2016: 3942-3949 - [c24]Weixue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu:
A recursive method for big network influence estimation. IJCNN 2016: 4709-4714 - 2015
- [j4]Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo:
Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach. J. Comput. Sci. 10: 278-287 (2015) - [j3]Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo:
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Trans. Knowl. Data Eng. 27(2): 461-474 (2015) - [j2]Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo:
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization. IEEE Trans. Knowl. Data Eng. 27(10): 2770-2783 (2015) - [c23]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Guo Li:
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. CIKM 2015: 1919-1922 - [c22]Weixue Lu, Peng Zhang, Chuan Zhou, Chun-Yi Liu, Li Gao:
Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation. IJCAI 2015: 2076-2082 - [c21]Chuan Zhou, Ruisheng Shi, Wenyu Zang, Li Guo:
Efficient Sensor Placement Optimization for Early Detection of Contagious Outbreaks in Mobile Social Networks. IEEE MS 2015: 261-268 - [c20]Peng Wang, Chuan Zhou, Peng Zhang, Weiwei Feng, Li Guo, Binxing Fang:
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data. PAKDD (2) 2015: 79-91 - [c19]Weiwei Feng, Peng Wang, Chuan Zhou, Li Guo, Peng Zhang:
Fast Search for Distance Dependent Chinese Restaurant Processes. WWW (Companion Volume) 2015: 33-34 - [c18]Xiancai Ji, Zhi Qiao, Mingze Xu, Peng Zhang, Chuan Zhou, Li Guo:
Online Event Recommendation for Event-based Social Networks. WWW (Companion Volume) 2015: 45-46 - [c17]Qipeng Yao, Ruisheng Shi, Chuan Zhou, Peng Wang, Li Guo:
Topic-aware Social Influence Minimization. WWW (Companion Volume) 2015: 139-140 - [c16]Wenyu Zang, Chuan Zhou, Li Guo, Peng Zhang:
Topic-aware Source Locating in Social Networks. WWW (Companion Volume) 2015: 141-142 - 2014
- [j1]Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo:
Comparative study between incremental and ensemble learning on data streams: Case study. J. Big Data 1: 5 (2014) - [c15]Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang:
Combining Heterogenous Social and Geographical Information for Event Recommendation. AAAI 2014: 145-151 - [c14]Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang:
Event Recommendation in Event-Based Social Networks. AAAI 2014: 3130-3131 - [c13]Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo:
Improving Collaborative Recommendation via Location-based User-item Subgroup. ICCS 2014: 400-409 - [c12]Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo:
Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists. ICCS 2014: 422-431 - [c11]Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo:
Discovering Multiple Diffusion Source Nodes in Social Networks. ICCS 2014: 443-452 - [c10]Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo:
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. ICDM 2014: 520-529 - [c9]Qipeng Yao, Chuan Zhou, Linbo Xiang, Yanan Cao, Li Guo:
Minimizing the Negative Influence by Blocking Links in Social Networks. ISCTCS 2014: 65-73 - [c8]Weiwei Feng, Peng Wang, Chuan Zhou, Yue Hu, Li Guo:
Nonparametric Topic-Aware Sparsification of Influence Networks. ISCTCS 2014: 83-90 - [c7]Wenyu Zang, Chuan Zhou, Xiao Wang, Li Guo:
Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks. PDCAT 2014: 159-165 - [c6]Zhi Qiao, Peng Zhang, Jing He, Yanan Cao, Chuan Zhou, Li Guo:
Combining geographical information of users and content of items for accurate rating prediction. WWW (Companion Volume) 2014: 361-362 - [c5]Chuan Zhou, Peng Zhang, Jing Guo, Li Guo:
An upper bound based greedy algorithm for mining top-k influential nodes in social networks. WWW (Companion Volume) 2014: 421-422 - [c4]Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo:
Maximizing the long-term integral influence in social networks under the voter model. WWW (Companion Volume) 2014: 423-424 - 2013
- [c3]Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo:
Personalized influence maximization on social networks. CIKM 2013: 199-208 - [c2]Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo:
Item-Based Top-k Influential User Discovery in Social Networks. ICDM Workshops 2013: 780-787 - [c1]Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo:
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. ICDM 2013: 907-916
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-23 18:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint