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ORCIDChuan Zhou 0001
周川
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
![[0000-0002-0609-1658]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0609-1658")
— 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
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Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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 - 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
- [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
- [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
- [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
- [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
Informal and Other Publications
- 2023
- [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
- [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
- [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
- [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) - 2019
- [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)
Coauthor Index
[j34] [j32] [j30] [j29] [j28] [j23] [j22] [j19] [j13] [j11] [j10] [j6] [j5] [c84] [c80] [c77] [c72] [c70] [c67] [c66] [c62] [c60] [c59] [c58] [c54] [c53] [c52] [c50] [c47] [c45] [c44] [c43] [c42] [c40] [c39] [c38] [c35] [c34] [c32] [c30] [c29] [c27] [c26] [c25] [c24] [i20] [i15] [i12] [i11] [i8] [i6] [i4] [i3] [i1]
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