Sihang Zhou

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Graph Clustering

Unlabeled Instances

Supervised Learning

Semi Supervised Classification

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Pattern Recognit.

Publications

Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu
Attribute-Missing Graph Clustering Network. AAAI (2024)
Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu
One-Step Late Fusion Multi-View Clustering with Compressed Subspace. ICASSP (2024)
Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang
Multiview Deep Anomaly Detection: A Systematic Exploration. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. AAAI (2024)
Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu
Task-Related Saliency for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI (2024)
Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
Deep Temporal Graph Clustering. ICLR (2024)
Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu
Anchor-based multi-view subspace clustering with hierarchical feature descent. Inf. Fusion 106 (2024)
Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu
GANN: Graph Alignment Neural Network for semi-supervised learning. Pattern Recognit. 154 (2024)
Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Xiaoshu Chen, Sihang Zhou, Ke Liang, Xinwang Liu
Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models. CoRR (2024)
Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, Xinwang Liu
Deep Fusion Clustering Network With Reliable Structure Preservation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin (2023)