Publications

He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei (2024). Trustworthy Graph Neural Networks: Aspects, Methods and Trends. Proceedings of the IEEE (PIEEE) (CCF Rank: A).

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Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan (2024). Securing Graph Neural Networks in MLaaS: A Comprehensive Realisation of Query-based Integrity Verification. IEEE Symposium on Security and Privacy (S&P), IEEE S&P, San Francisco, CA, USA, May 20-22, 2024 (CORE A*).

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Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao (2024). IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. ACM Web Conference 2024 (WWW), May 13 - 17, 2024, Singapore, Singapore (CORE A*).

Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan (2024). Cost-effective Data Labelling for Graph Neural Networks. ACM Web Conference 2024 (WWW), May 13 - 17, 2024, Singapore, Singapore (CORE A*).

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen (2024). Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. International Conference on Learning Representations (ICLR), May 7-11, 2024, Vienna, Austria (CORE A*).

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Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan (2024). Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. International Conference on Learning Representations (ICLR), May 7-11, 2024, Vienna, Austria (CORE A*).

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Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan (2024). Online GNN Evaluation Under Test-time Graph Distribution Shifts. International Conference on Learning Representations (ICLR), May 7-11, 2024, Vienna, Austria (CORE A*).

Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu (2024). Unifying Large Language Models and Knowledge Graphs: A Roadmap. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Xiao Zhang, Peng Bao, Shirui Pan (2024). Maximizing Malicious Influence in Node Injection Attack. ACM International Conference on Web Search and Data Mining (WSDM), March 4th-8th, 2024, Mérida, Yucatán, Mexico.

Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan (2024). GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. The Network and Distributed System Security Symposium (NDSS), San Francisco, CA, USA, 26 February–1 March, 2024 (CORE A*).

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Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan (2024). Towards Model Extraction Attacks in GAN-based Image Translation via Domain Shift Mitigation. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), February 20-27, 2024, Vancouver, Canada (CORE A*).

Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab (2024). NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), February 20-27, 2024, Vancouver, Canada (CORE A*)..

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Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua (2024). GOODAT: Towards Test-time Graph Out-of-Distribution Detection. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), February 20-27, 2024, Vancouver, Canada (CORE A*)..

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Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan (2023). Towards Self-Interpretable Graph-Level Anomaly Detection. Advances in Neural Information Processing Systems, NeurIPS, New Orleans, USA, 10 Dec 2023 – 16 Dec, 2023 (CORE A*).

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Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan (2023). Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. Advances in Neural Information Processing Systems, NeurIPS, New Orleans, USA, 10 Dec 2023 – 16 Dec, 2023 (Spotlight)(CORE A*).

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Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan (2023). GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. Advances in Neural Information Processing Systems, NeurIPS, New Orleans, USA, 10 Dec 2023 – 16 Dec, 2023 (CORE A*).

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Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie (2023). A Comprehensive Survey on Distributed Training of Graph Neural Networks. Proceedings of the IEEE (PIEEE), vol 111, no 12, pp. 1572 -1606, December 2023 (CCF Rank: A).

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Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang (2023). Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong (2023). Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD, September 18 -22 2023, Turin, Italy (CORE A).

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Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin (2023). Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Xiao Shen, Mengqiu Shao, Shirui Pan, Laurence Yang, Xi Zhou (2023). Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan (2023). Learning Strong Graph Neural Networks with Weak Information. 29th SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-23, 6 Aug 2023 – 10 Aug 2023, Long Beach, California, United States (CORE A*).

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Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong (2023). Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan (2023). A Survey on Neural-symbolic Learning Systems. Neural Networks Journal.

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Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan (2023). A Survey on Fairness-aware Recommender Systems. Information Fusion.

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Qin Zhang, Ze Lin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan (2023). G2Pxy: Generative Open-Set node Classification on Graphs with Proxy Unknowns. The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, S.A.R, China, 19th-25th August, 2023 (CORE A*).

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Linhao Luo, Reza Haffari, Yuan-Fang Li, Shirui Pan (2023). Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR-23, 23-27 July, 2023, Taipei, Taiwan. (CORE A*).

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Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan (2023). Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. 2023 International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23 - July 29, 2023 (CORE A*).

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He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan (2023). Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. 2023 International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23 - July 29, 2023 (CORE A*).

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Bo Xiong, Mojtaba Nayyeri, Shirui Pan and Steffen Staab (2023). Shrinking Embeddings for Hyper-Relational Knowledge Graphs. The 61st Annual Meeting of the Association for Computational Linguistics (ACL-23), Toronto, Canada, July 9-14, 2023 (CORE A*).

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Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu (2023). Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang (2023). Robust Graph Representation Learning for Local Corruption Recovery. The ACM Web Conference 2023, WWW-23, Austin, Texas, USA, April 30 - May 4, 2023 (CORE A*).

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Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan (2023). Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. The ACM Web Conference 2023, WWW-23, Austin, Texas, USA, April 30 - May 4, 2023 (CORE A*).

Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan (2023). Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. The ACM Web Conference 2023, WWW-23, Austin, Texas, USA, April 30 - May 4, 2023 (CORE A*).

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Yuanzhe Zhang, Shirui Pan, Jiangshan Yu (2023). TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. IEEE International Conference on Data Engineering, ICDE-23, Anaheim, California, United States, April 3 - 7, 2022 (CORE A*).

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Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan (2023). MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation. IEEE International Conference on Data Engineering, ICDE-23, Anaheim, California, United States, April 3 - 7, 2022 (CORE A*).

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Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan (2023). Simple and Efficient Heterogeneous Graph Neural Network. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), AAAI-23, Washington, DC, USA, February 7-14, 2023 (CORE A*).

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Xiao Shen, Dewang sun, Shirui Pan, Xi Zhou, and Laurence T. Yang (2023). Neighbor Contrastive Learning on Learnable Graph Augmentation. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), AAAI-23, Washington, DC, USA, February 7-14, 2023 (CORE A*).

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Linhao Luo, Reza Haffari, Shirui Pan (2023). Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. ACM International Conference on Web Search and Data Mining, WSDM-23, Feb 27, 2023 - Mar 3, 2023, Singapore (CORE A*).

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Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent Lee, Shirui Pan (2023). Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), AAAI-23, Washington, DC, USA, February 7-14, 2023 (CORE A*).

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Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan (2023). GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. ACM International Conference on Web Search and Data Mining, WSDM-23, Feb 27, 2023 - Mar 3, 2023, Singapore (CORE A*).

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Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan (2023). Contrastive Graph Similarity Networks. ACM Transactions on the Web.

Yizhen Zheng, Shirui Pan, Vincent Lee, Yu Zheng, Philip S. Yu (2022). Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. 2022 Conference on Neural Information Processing Systems, NeurIPS-22, New Orleans, Louisiana, United States, November 28 - December 9, 2022 (CORE A*).

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Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab (2022). Pseudo-Riemannian Graph Convolutional Networks. 2022 Conference on Neural Information Processing Systems, NeurIPS-22, New Orleans, Louisiana, United States, November 28 - December 9, 2022 (CORE A*).

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Ming Jin, Yuan-Fang Li, Shirui Pan (2022). Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. 2022 Conference on Neural Information Processing Systems, NeurIPS-22, New Orleans, Louisiana, United States, November 28 - December 9, 2022 (CORE A*).

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Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent CS Lee, Shirui Pan (2022). Unifying Graph Contrastive Learning with Flexible Contextual Scopes. 22nd IEEE International Conference on Data Mining, ICDM-22, Orlando, FL, United States, November 28 - December 1, 2022 (CORE A*).

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Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan (2022). Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. 22nd IEEE International Conference on Data Mining, ICDM-22, Orlando, FL, United States, November 28 - December 1, 2022 (CORE A*).

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Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan (2022). How Far are We from Robust Long Abstractive Summarization?. The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP, Abu Dhabi, December 7–11, 2022 (CORE A).

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Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang (2022). A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. 22nd IEEE International Conference on Data Mining, ICDM-22, Orlando, FL, United States, November 28 - December 1, 2022 (CORE A*).

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Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis (2022). TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li (2022). Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan (2022). Robust Physical-World Attacks on Face Recognition. Pattern Recognition (PRJ).

Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu (2022). Reinforced, Incremental and Cross-lingual Event Detection From Social Messages. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan (2022). Projective Ranking-based GNN Evasion Attacks. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan (2022). Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang (2022). Beyond low-pass filtering: Graph convolutional networks with automatic filtering. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan (2022). An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics. ACM Computing Surveys (CSUR).

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Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab (2022). Ultrahyperbolic Knowledge Graph Embeddings. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-22, Washington DC, Aug 14, 2022 - Aug 18, 2022..

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Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu (2022). Graph self-supervised learning: A survey. IEEE Transactions on Knowledge and Data Engineering.

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Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan (2022). Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. 31st International Joint Conference on Artificial Intelligence (IJCAI-22), July 23-29, 2022 Messe Wien, Vienna, Austria.

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Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie (2022). Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. 31st International Joint Conference on Artificial Intelligence - Survey Track (IJCAI-22), July 23-29, 2022 Messe Wien, Vienna, Austria.

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Shuangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang (2022). Multi-Graph Fusion Networks for Urban Region Embedding. 31st International Joint Conference on Artificial Intelligence (IJCAI-22), July 23-29, 2022 Messe Wien, Vienna, Austria.

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Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan (2022). CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. 31st International Joint Conference on Artificial Intelligence (IJCAI-22), July 23-29, 2022 Messe Wien, Vienna, Austria.

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Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Li, Xiaojun Chang (2022). Cross-modal Clinical Graph Transformer For Ophthalmic Report Generation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-22).

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Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Reza Haffari, Bin Yang (2022). BaLeNAS: Differentiable Architecture Search via Bayesian Learning Rule. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-22).

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Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan (2022). A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-22).

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Razvan Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan (2022). Towards Spatio-Temporal Aware Traffic Time Series Forecasting. IEEE International Conference on Data Engineering (ICDE-22).

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Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan (2022). Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. 17th ACM ASIA Conference on Computer and Communications Security (AsiaCCS 2022).

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Chaojie Li, Wensen Jiang, Yin Yang, Shirui Pan, Lijie Guo, Gang Huang (2022). Predicting Best-Selling New Products in a Major Promotion Campaign through Graph Convolutional Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Reza Haffari (2022). Fire Burns, Swords Cut: Commonsense Inductive Bias for Exploration in Text-based Games. 60th Annual Meeting of the Association for Computational Linguistics (ACL-2022).

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Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu (2022). Learning multi-level weight-centric features for few-shot learning. Pattern Recognition (PRJ).

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Man Wu, Shirui Pan, Xingquan Zhu (2022). Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI).

Bahareh Fatemi, Soheila Molaei, Shirui Pan, Samira Abbasgholizadeh Rahimi (2022). GCNFusion: An efficient graph convolutional network based model for information diffusion. Expert Systems with Applications (ESWA).

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Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan (2022). Towards Unsupervised Deep Graph Structure Learning. The Web Conference (WWW-2022).

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Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S Yu, Guandong Xu (2022). Dual Space Graph Contrastive Learning. The Web Conference (WWW-2022).

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Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang (2022). Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. International Conference on Web Search and Data Mining (WSDM 22).

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Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha (2022). Exploring Relational Semantics for Inductive Knowledge Graph Completion. AAAI Conference on Artificial Intelligence (AAAI-2022).

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Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang (2022). Discrete Embedding for Attributed Graphs. Pattern Recognition.

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Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent CS Lee (2021). Anomaly Detection in Dynamic Graphs via Transformer. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong (2021). Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. 2021 Conference on Neural Information Processing Systems, NeurIPS-21, Virtual-only Conference, 6-14, December, 2021.

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Tengfei Xue, Yongliang Qiao, He Kong, Daobilige Su, Shirui Pan, Khalid Rafique, Salah Sukkarieh (2021). One-shot Learning-based Animal Video Segmentation. IEEE Transactions on Industrial Informatics (TII).

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Renqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan (2021). Hypergraph Convolutional Network for Group Recommendation. IEEE International Conference on Data Mining (ICDM), Dec 7-10, 2021.

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Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan (2021). Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. IEEE International Conference on Data Mining (ICDM), Dec 7-10, 2021.

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Man Wu, Shuwen Wang, Shirui Pan, Andrew C Terentis, John Strasswimmer, Xingquan Zhu (2021). Deep Learning Data Augmentation for Raman Spectroscopy Cancer Tissue Classification. Nature Scientific Reports.

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Soheila Molaei, Nima Bousejin, Hadi Zare, Mahdi Jalili, Shirui Pan (2021). Learning Graph Representations with Maximal Cliques. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan (2021). Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), November 1–5, 2021, Virtual Event, QLD, Australia.

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Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan (2021). Leveraging Information Bottleneck for Scientific Document Summarization. Finding of EMNLP 2021.

Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan (2021). ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), November 1–5, 2021, Virtual Event, QLD, Australia.

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Chun Wang, Shirui Pan, Celina P Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang (2021). Deep Neighbor-aware Embedding for Node Clustering in Attributed Graphs. Pattern Recognition.

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Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang (2021). A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE).

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Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu (2021). Cyclic label propagation for graph semi-supervised learning. World Wide Web.

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Man Wu, Shirui Pan, Xingquan Zhu (2021). OpenWGL: Open-World Graph Learning for Unseen Class Node Classification. Knowledge and Information Systems (Invited Extension for the ICDM-20 Best Student Paper).

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Peifei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang (2021). Temporal Network Embedding for Link Prediction via VAE joint Attention Mechanism. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Gholamreza Haffari (2021). iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. Thirty-eighth International Conference on Machine Learning, ICML-21.

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Shaoxiong Ji, Shirui Pan, Pekka Marttinen (2021). Medical Code Assignment with Gated Convolution and Note-Code Interaction. Findings of ACL: ACL-2021.

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Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan (2021). Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. International Joint Conference on Artificial Intelligence, IJCAI-21.

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Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong (2021). Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing (TGRS).

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Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan (2021). Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD-21.

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Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S Yu (2021). A Survey on Knowledge Graphs: Representation, Acquisition and Applications. IEEE Transactions on Neural Networks and Learning Systems.

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Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu (2021). Graph Learning: A Survey. IEEE Transactions on Artificial Intelligence (TAI).

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Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis (2021). Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve Ling, Steven Su (2021). Convolutional Neural Networks based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. IEEE Transactions on Evolutionary Computation, TEvC.

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Man Wu, Shirui Pan, Lan Du, Xingquan Zhu (2021). Learning Graph Neural Networks with Positive and Unlabeled Nodes. ACM Transactions on Knowledge Discovery from Data (TKDD).

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Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang (2021). Task-adaptive Neural Process for User Cold-Start Recommendation. The Web Conference 2021, WWW-21.

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Sheng Wan, Shirui Pan, Jian Yang, Chen Gong (2021). Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. AAAI Conference on Artificial Intelligence, AAAI-21.

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Liang Wang, Zhiwen Yu, Qi Han, Dingqi Yang, Shirui Pan, Yuan Yao, Daqing Zhang (2020). Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing. IEEE Transactions on Mobile Computing, TMC (CORE A*).

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Su (2020). One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI.

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Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang (2020). Graph Stochastic Neural Networks for Semi-supervised Learning. Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS-20.

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Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang (2020). Graph Geometry Interaction Learning. Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS-20.

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Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven Su (2020). Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS-20.

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Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang (2020). Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Transactions on Computational Social Systems.

Cite

Man Wu, Shirui Pan, Xingquan Zhu (2020). OpenWGL: Open-World Graph Learning. Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020 (Best Student Paper Award).

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Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long (2020). Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020.

Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia (2020). Multivariate Relations Aggregation Learning in Social Networks. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, JCDL-20, Virtual Event, China, August 1-5, 2020 (The Vannevar Bush Best Paper Honorable Mention).

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Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang (2020). Grounding Visual Concepts for Multimedia Event Detection and Multimedia Event Captioning in Zero-shot Setting. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-20.

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Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang (2020). Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-20.

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Sheng Wan, Ping Zhong, Shirui Pan, Jian Yang, Guangyu Li, Chen Gong (2020). Hyperspectral Image Classification with Context-aware Dynamic Graph Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing (TGRS).

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Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari (2020). Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. International Joint Conference on Artificial Intelligence, IJCAI-20.

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Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven Su (2020). One-Shot Neural Architecture Search via Novelty Driven Sampling. International Joint Conference on Artificial Intelligence, IJCAI-20.

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Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo (2020). A Relation-Specific Attention Network for Joint Entity and Relation Extraction. International Joint Conference on Artificial Intelligence, IJCAI-20.

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Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S Yu (2020). A comprehensive survey on graph neural networks. IEEE Transactions on Neural Networks and Learning Systems.

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Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven Su (2020). Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu (2020). Unsupervised Domain Adaptive Graph Convolutional Networks. The Web Conference 2020, WWW-20.

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Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari (2020). Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks. AAAI Conference on Artificial Intelligence, AAAI-20.

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Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang (2020). GSSNN: Graph Smoothing Splines Neural Networks. AAAI Conference on Artificial Intelligence, AAAI-20.

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Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang (2020). Going Deep: Graph Convolutional Ladder-shape Networks. AAAI Conference on Artificial Intelligence, AAAI-20.

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Yu Zheng, Ruiqi Hu, Sai Fu Fung, Celina Yu, Guodong Long, Ting Guo, Shirui Pan (2020). Clustering Social Audiences in Business Information Networks. Pattern Recognition.

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Yanxin Zhang, Yulei Sui, Shirui Pan, Zheng Zheng, Baodi Ning, Ivor Tsang, Wanlei Zhou (2019). Familial Clustering For Weakly-labeled Android Malware Using Hybrid Representation Learning. IEEE Transactions on Information Forensics & Security (TIFS).

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Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang (2019). Relation Structure-Aware Heterogeneous Graph Neural Network. Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019.

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Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Bo Du (2019). Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. CIKM'19 - Proceedings of the 2019 ACM Conference on Information and Knowledge Management.

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Shirui Pan, Ruiqi Hu, Sai Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang (2019). Learning Graph Embedding With Adversarial Training Methods. IEEE Transactions on Cybernetics.

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Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan (2019). Domain-Adversarial Graph Neural Networks for Text Classification. Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019.

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Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon Oviatt (2019). An Effective and Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. CIKM'19 - Proceedings of the 2019 ACM Conference on Information and Knowledge Management.

Guojia Wan, Bo Du, Shirui Pan, Jia Wu (2019). Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion. World Wide Web.

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Fei Xiong, Weihan Shen, Hongshu Chen, Shirui Pan, Ximeng Wang, Zheng Yan (2019). Exploiting Implicit Influence from Information Propagation for Social Recommendation. IEEE Transactions on Cybernetics.

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Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang (2019). Low-Bit Quantization for Attributed Network Representation Learning. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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Liang Wang, Zhiwen Yu, Fei Xiong, Dingqi Yang, Shirui Pan, Zheng Yan (2019). Influence Spread in Geo-Social Networks: A Multi-Objective Optimization Perspective. IEEE Transactions on Cybernetics.

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Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang (2019). Graph WaveNet for Deep Spatial-Temporal Graph Modeling. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang (2019). Attributed Graph Clustering: A Deep Attentional Embedding Approach. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen (2019). Time series feature learning with labeled and unlabeled data. Pattern Recognition.

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Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang (2019). Social recommendation with evolutionary opinion dynamics. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

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Yuanyuan Cai, Shirui Pan, Ximeng Wang, Hongshu Chen, Xiaoyan Cai, Min Zuo (2019). Measuring distance-based semantic similarity using meronymy and hyponymy relations. Neural Computing and Applications.

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Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan (2019). Label Embedding with Partial Heterogeneous Contexts. The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019.

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Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang (2019). IEEE access special section editorial: advanced data analytics for large-scale complex data environments. IEEE Access.

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Hongshu Chen, Ximeng Wang, Shirui Pan, Fei Xiong (2019). Identify topic relations in scientific literature using topic modeling. IEEE Transactions on Engineering Management.

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Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang (2019). Detecting Suicidal Ideation with Data Protection in Online Communities. Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings,.

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Xinxin Jiang, Shirui Pan, Guodong Long, Fei Xiong, Jing Jiang, Chengqi Zhang (2019). Cost-sensitive parallel learning framework for insurance intelligence operation. IEEE Transactions on Industrial Electronics.

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Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang (2019). CFOND: consensus factorization for co-clustering networked data. IEEE Transactions on Knowledge and Data Engineering.

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Shaoxiong Ji, Celina Ping Yu, Sai Fu Fung, Shirui Pan, Guodong Long (2018). Supervised learning for suicidal ideation detection in online user content. Complexity.

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Libin Yang, Yu Zheng, Xiaoyan Cai, Shirui Pan, Tao Dai (2018). Query-oriented citation recommendation based on network correlation. Journal of Intelligent and Fuzzy Systems.

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Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu (2018). Multiple structure-view learning for graph classification. IEEE Transactions on Neural Networks and Learning Systems.

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Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu (2018). Multi-instance learning with discriminative bag mapping. IEEE Transactions on Knowledge and Data Engineering.

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Tao Dai, Tianyu Gao, Li Zhu, Xiaoyan Cai, Shirui Pan (2018). Low-rank and sparse matrix factorization for scientific paper recommendation in heterogeneous network. IEEE Access.

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Xiaoyan Cai, Junwei Han, Shirui Pan, Libin Yang (2018). Heterogeneous information network embedding based personalized query-focused astronomy reference paper recommendation. International Journal of Computational Intelligence Systems.

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Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen (2018). Hashing for adaptive real-time graph stream classification with concept drifts. IEEE Transactions on Cybernetics.

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Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, And Li Guo (2018). FraudNE: a joint embedding approach for fraud detection. 2018 International Joint Conference on Neural Networks (IJCNN) - 2018 Proceedings.

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Tao Dai, Li Zhu, Xiaoyan Cai, Shirui Pan, Sheng Yuan (2018). Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network. Journal of Ambient Intelligence and Humanized Computing.

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Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew Soon Ong, Quan Sen Sun (2018). Discrete network embedding. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.

Tao Shen, Jing Jiang, Tianyi Zhou, Shirui Pan, Guodong Long, Chengqi Zhang (2018). DiSAN: directional self-attention network for RNN/CNN-free language understanding. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18 ).

Xinxin Jiang, Shirui Pan, Jing Jiang, Guodong Long (2018). Cross-domain deep learning approach for multiple financial market prediction. 2018 International Joint Conference on Neural Networks (IJCNN) - 2018 Proceedings.

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Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang (2018). Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data. 2018 International Joint Conference on Neural Networks (IJCNN) - 2012 Proceedings.

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Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang (2018). Binarized attributed network embedding. Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDM 2018.

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Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang (2018). Adversarially regularized graph autoencoder for graph embedding. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.

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Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang (2018). Advances in processing, mining, and learning complex data: From foundations to real-world applications. Complexity.

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Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu (2018). Active discriminative network representation learning. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.

Xiaoyan Cai, Junwei Han, Wenjie Li, Renxian Zhang, Shirui Pan, Libin Yang (2018). A three-layered mutually reinforced model for personalized citation recommendation. IEEE Transactions on Neural Networks and Learning Systems.

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Qi Yu, Xiaoping Che, Siqi Ma, Shirui Pan, Yuxiang Yang, Weiwei Xing, Ximeng Wang (2018). A hybrid user experience evaluation method for mobile games. IEEE Access.

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Ruiqi Hu, Celina Ping Yu, Sai Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long (2017). Universal network representation for heterogeneous information networks. International Joint Conference on Neural Networks (IJCNN) 2017.

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Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen (2017). Towards large-scale social networks with online diffusion provenance detection. Computer Networks.

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Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang (2017). Task sensitive feature exploration and learning for multitask graph classification. IEEE Transactions on Cybernetics.

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Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu (2017). Positive and unlabeled multi-graph learning. IEEE Transactions on Cybernetics.

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Libin Yang, Xiaoyan Cai, Shirui Pan, Hang Dai, Dejun Mu (2017). Multi-document summarization based on sentence cluster using Non-negative Matrix Factorization. Journal of Intelligent and Fuzzy Systems.

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Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang (2017). MGAE: marginalized graph autoencoder for graph clustering. CIKM'17 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management.

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Ruiqi Hu, Shirui Pan, Jing Jiang, Guodong Long (2017). Graph ladder networks for network classification. CIKM'17 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management.

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Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang (2017). Boosting for graph classification with universum. Knowledge and Information Systems.

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Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang (2016). Tri-party deep network representation. IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016.

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Jia Wu, Shirui Pan, Xingquan Zhu, Peng Zhang, Chengqi Zhang (2016). SODE: Self-adaptive one-dependence estimators for classification. Pattern Recognition.

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Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang (2016). Multi-graph-view subgraph mining for graph classification. Knowledge and Information Systems.

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Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu (2016). Joint structure feature exploration and regularization for multi-task graph classification. IEEE Transactions on Knowledge and Data Engineering.

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Yang Wang, Zhang Wenjie, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan (2016). Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering. IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016.

Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu (2016). Direct discriminative bag mapping for multi-instance learning. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16 ).

Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang (2016). Co-clustering enterprise social networks. 2016 International Joint Conference on Neural Networks (IJCNN).

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Mei Li, Shirui Pan, Yang Zhang, Xiaoyan Cai (2016). Classifying networked text data with positive and unlabeled examples. Pattern Recognition Letters.

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Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang (2015). Self-adaptive attribute weighting for Naive Bayes classification. Expert Systems with Applications.

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Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang (2015). Multi-graph-view Learning for Graph Classification. 2014 IEEE International Conference on Data Mining.

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Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang (2015). Multi-graph-view learning for complicated object classification. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence.

Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan (2015). Mining top-k minimal redundancy frequent patterns over uncertain databases. Neural Information Processing.

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Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai (2015). Locally weighted learning: how and when does it work in Bayesian networks?. International Journal of Computational Intelligence Systems.

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Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang (2015). Graph ensemble boosting for imbalanced noisy graph stream classification. IEEE Transactions on Cybernetics.

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Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang (2015). Finding the best not the most: regularized loss minimization subgraph selection for graph classification. Pattern Recognition.

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Shirui Pan, Jia Wu, Xingquan Zhu (2015). CogBoost: boosting for fast cost-sensitive graph classification. IEEE Transactions on Knowledge and Data Engineering.

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Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai (2015). Boosting for multi-graph classification. IEEE Transactions on Cybernetics.

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Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai (2014). Multi-graph learning with positive and unlabeled bags. Proceedings of the 2014 SIAM International Conference on Data Mining.

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Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang (2014). Exploring features for complicated objects: cross-view feature selection for multi-instance learning. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management.

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Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang (2014). Dual instance and attribute weighting for Naive Bayes classification. Proceedings of the 2014 International Joint Conference on Neural Networks.

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Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang (2014). Attribute weighting: how and when does it work for Bayesian Network Classification. Proceedings of the 2014 International Joint Conference on Neural Networks.

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Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu (2013). Graph stream classification using labeled and unlabeled graphs. ICDE 2013 - 29th International Conference on Data Engineering.

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Shirui Pan, Xingquan Zhu (2013). Graph classification with imbalanced class distributions and noise. IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence.

Shirui Pan, Xingquan Zhu, Meng Fang (2012). Top-k correlated subgraph query for data streams. ICPR 2012 - 21st International Conference on Pattern Recognition.

Shirui Pan, Yang Zhang, Xue Li (2012). Dynamic classifier ensemble for positive unlabeled text stream classification. Knowledge and Information Systems.

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Shirui Pan, Xingquan Zhu (2012). Continuous top-k query for graph streams. CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management.

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Shirui Pan, Xingquan Zhu (2012). CGStream: Continuous correlated graph query for data streams. CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management.

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Dongjian He, Yu Zheng, Shirui Pan, Jinglei Tang (2010). Ensemble of multiple descriptors for automatic image annotation. Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010.

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Shirui Pan, Kuan Wu, Yang Zhang, Xue Li (2010). Classifier ensemble for uncertain data stream classification. Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings.

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