Hongkuan Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
13
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning. | Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab |
| 2026 | ACL | SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs. | Prateek Chaturvedi, Yuqicheng Zhu, Hongkuan Zhou, Dongzhuoran Zhou, Yunjie He, Steffen Staab, Fei Du, Jie Tang, Evgeny Kharlamov |
| 2026 | EACL | What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge. | Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov |
| 2025 | EMNLP | Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees. | Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab |
| 2025 | ICCV | MultiADS: Defect-Aware Supervision for Multi-Type Anomaly Detection and Segmentation in Zero-Shot Learning. | Ylli Sadikaj, Hongkuan Zhou, Lavdim Halilaj, Stefan Schmid, Steffen Staab, Claudia Plant |
| 2025 | WCNC | AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach. | Yuhong Liu, Gangda Deng, Hongkuan Zhou, Cauligi S. Raghavendra, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna |
| 2023 | INFOCOM | HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. | Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna |
| 2023 | IROS | Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions. | Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll |
| 2023 | PIMRC | Spectral Efficiency Analysis of Downlink Transmission for Two-Way Cell-Free Massive MIMO System With Few-Bit ADCs. | Jiaxi Cui, Pei Liu, Kehao Wang, Hongkuan Zhou, Yue Zhang, Xinghua Sun, Stefano Buzzi |
| 2023 | SC | An Efficient Distributed Graph Engine for Deep Learning on Graphs. | Gangda Deng, mer Faruk Akgl, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna |
| 2023 | SC | DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. | Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna |
| 2022 | CoNEXT | Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. | Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna |
| 2021 | CIKM | SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. | Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | ICLR | GraphSAINT: Graph Sampling Based Inductive Learning Method. | Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |