| 2026 | AAAI | Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction. | Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan |
| 2026 | AAAI | ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes. | Wang-Tao Zhou, Zhao Kang, Ke Yan, Ling Tian |
| 2025 | AAAI | One Node One Model: Featuring the Missing-Half for Graph Clustering. | Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen |
| 2025 | COLING | BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition. | Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang, Yu Zhang, Sijie Wang |
| 2025 | ICLR | On the Benefits of Attribute-Driven Graph Domain Adaptation. | Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang |
| 2025 | ICML | Cooperation of Experts: Fusing Heterogeneous Information with Large Margin. | Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang |
| 2025 | ICML | Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment. | Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang |
| 2025 | IJCAI | Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training. | Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao |
| 2025 | SDM | Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph. | Wang-Tao Zhou, Zhao Kang, Sicong Liu, Lizong Zhang, Ling Tian |
| 2024 | AAAI | PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering. | Bingheng Li, Erlin Pan, Zhao Kang |
| 2024 | AAAI | Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering. | Xiaowei Qian, Bingheng Li, Zhao Kang |
| 2024 | COLING | FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. | Xudong Zhu, Zhao Kang, Bei Hui |
| 2024 | CVPR | Fine-Grained Bipartite Concept Factorization for Clustering. | Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Shawn Cheng |
| 2024 | EMNLP | Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. | Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang |
| 2024 | IJCNN | EMKG: Efficient Matchings for Knowledge Graph Integration in Stance Detection. | Yuhang Cheng, Kaiwen Li, Zhao Kang |
| 2024 | IJCNN | TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction. | Yu Zhang, Zhao Kang |
| 2024 | SMC | Dual-GTF: Enhancing Community Detection with Dual-Scale Game Theoretic Framework. | Haodong Shi, Zhao Kang, Ke Yan, Sicong Liu, Yichen Xin |
| 2023 | ICML | Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering. | Erlin Pan, Zhao Kang |
| 2023 | ICONIP | Contrastive Kernel Subspace Clustering. | Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu |
| 2023 | IJCNN | TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection. | Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen |
| 2023 | PAKDD | Document-Level Relation Extraction with Cross-sentence Reasoning Graph. | Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua |
| 2022 | ECCV | Eliminating Gradient Conflict in Reference-based Line-Art Colorization. | Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang |
| 2022 | ICDM | Structure-Preserving Graph Representation Learning. | Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu |
| 2022 | SDM | Fine-grained Attributed Graph Clustering. | Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian |
| 2021 | AAAI | Self-Paced Two-dimensional PCA. | Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen |
| 2021 | IJCAI | Graph Filter-based Multi-view Attributed Graph Clustering. | Zhiping Lin, Zhao Kang |
| 2020 | AAAI | Large-Scale Multi-View Subspace Clustering in Linear Time. | Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu |
| 2020 | IJCAI | On Deep Unsupervised Active Learning. | Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang |
| 2019 | AAAI | Similarity Learning via Kernel Preserving Embedding. | Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu |
| 2019 | ACML | Latent Multi-view Semi-Supervised Classification. | Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen |
| 2019 | CVPR | RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. | Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng |
| 2019 | IJCAI | Multiple Partitions Aligned Clustering. | Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu |
| 2018 | AAAI | Unified Spectral Clustering With Optimal Graph. | Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu |
| 2018 | IJCAI | Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. | Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu |
| 2017 | AAAI | Twin Learning for Similarity and Clustering: A Unified Kernel Approach. | Zhao Kang, Chong Peng, Qiang Cheng |
| 2017 | CVPR | Subspace Clustering via Variance Regularized Ridge Regression. | Chong Peng, Zhao Kang, Qiang Cheng |
| 2017 | ICDE | Clustering with Adaptive Manifold Structure Learning. | Zhao Kang, Chong Peng, Qiang Cheng |
| 2016 | AAAI | Top-N Recommender System via Matrix Completion. | Zhao Kang, Chong Peng, Qiang Cheng |
| 2016 | CIKM | Top-N Recommendation on Graphs. | Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng |
| 2016 | CIKM | RAP: Scalable RPCA for Low-rank Matrix Recovery. | Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng |
| 2016 | ICDM | A Fast Factorization-Based Approach to Robust PCA. | Chong Peng, Zhao Kang, Qiang Cheng |
| 2016 | SDM | Top-N Recommendation with Novel Rank Approximation. | Zhao Kang, Qiang Cheng |
| 2015 | CIKM | Robust Subspace Clustering via Tighter Rank Approximation. | Zhao Kang, Chong Peng, Qiang Cheng |
| 2015 | ICDM | Robust PCA Via Nonconvex Rank Approximation. | Zhao Kang, Chong Peng, Qiang Cheng |
| 2015 | KDD | Subspace Clustering Using Log-determinant Rank Approximation. | Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng |