Ke Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
17
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models. | Wenzheng Jiang, Ke Liang, Xuankun Rong, Jingxuan Zhou, Zhengyi Zhong, Guancheng Wan, Ji Wang |
| 2026 | AAAI | Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning. | Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu |
| 2026 | AAAI | CLUENet: Cluster Attention Makes Neural Networks Have Eyes. | Xiangshuai Song, Jun-Jie Huang, Tianrui Liu, Ke Liang, Chang Tang |
| 2026 | AAAI | DAWN: Distributed LLM Multi-Agent Workflow Synthesis. | Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang |
| 2026 | AAAI | A General Anchor-Based Framework for Scalable Fair Clustering. | Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo |
| 2026 | AAAI | DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering. | Baili Xiao, Ke Liang, Jiaqi Jin, Jun Wang, Yinbo Xu, Siwei Wang, En Zhu |
| 2026 | AAAI | TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models. | Hao Yu, Ke Liang, Junxian Duan, Jun Wang, Siwei Wang, Chuan Ma, Xinwang Liu |
| 2026 | AAAI | Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation. | Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu |
| 2026 | WWW | Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding. | Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang |
| 2025 | AAAI | Social Recommendation via Graph-Level Counterfactual Augmentation. | Yinxuan Huang, Ke Liang, Yanyi Huang, Xiang Zeng, Kai Chen, Bin Zhou |
| 2025 | AAAI | Knowledge Graph Completion with Relation-Aware Anchor Enhancement. | Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang |
| 2025 | CVPR | Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. | Jiyuan Liu, Xinwang Liu, Chuankun Li, Xinhang Wan, Hao Tan, Yi Zhang, Weixuan Liang, Qian Qu, Yu Feng, Renxiang Guan, Ke Liang |
| 2025 | CVPR | Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. | Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu |
| 2025 | CVPR | EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering. | Baili Xiao, Zhibin Dong, Ke Liang, Suyuan Liu, Siwei Wang, Tianrui Liu, Xingchen Hu, En Zhu, Xinwang Liu |
| 2025 | EMNLP | Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster. | Xiaoshu Chen, Sihang Zhou, Ke Liang, Xiaoyu Sun, Xinwang Liu |
| 2025 | ICML | On the Adversarial Robustness of Multi-Kernel Clustering. | Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu |
| 2025 | ICML | Flow Matching for Denoised Social Recommendation. | Yinxuan Huang, Ke Liang, Zhuofan Dong, Xiaodong Qu, Tianxiang Wang, Yue Han, Jingao Xu, Bin Zhou, Ye Wang |
| 2025 | ICML | COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering. | Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu |
| 2025 | ICML | Efficient Federated Incomplete Multi-View Clustering. | Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu |
| 2025 | ICML | From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering. | Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang |
| 2025 | IJCAI | Soft Reasoning Paths for Knowledge Graph Completion. | Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang |
| 2025 | IJCAI | FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing. | Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu |
| 2025 | KDD | Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. | Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao |
| 2024 | AAAI | Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. | Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu |
| 2024 | AAAI | MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. | Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu |
| 2024 | COLING | From Text to Historical Ecological Knowledge: The Construction and Application of the Shan Jing Knowledge Base. | Ke Liang, Chu-Ren Huang, Xin-Lan Jiang |
| 2024 | CVPR | Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. | Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu |
| 2024 | ICLR | Deep Temporal Graph Clustering. | Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2023 | AAAI | Hard Sample Aware Network for Contrastive Deep Graph Clustering. | Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen |
| 2023 | ICML | Dink-Net: Neural Clustering on Large Graphs. | Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li |
| 2023 | SIGIR | Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. | Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2021 | DASC | Design and Implementation of Space-and-Earth Network for China Manned Spacecraft. | Yusheng Yi, Ke Liang, Jiaxin Yang, Ke Zhu, Zhao Cheng, Xin Qi, Shuqi Zhang |
| 2021 | DASC | High Reliability and Wide Coverage Space-based TT&C System Based on S/Ka Dual band Wide and Narrow Beam Fusion Technology. | Ke Zhu, Jiaxin Yang, Xin Qi, Jing Jin, Yusheng Yi, Zhao Cheng, Ke Liang |
| 2015 | MMSys | Integrated prefetching and caching for adaptive video streaming over HTTP: an online approach. | Ke Liang, Jia Hao, Roger Zimmermann, David K. Y. Yau |
| 2014 | QoMEX | Human-centric multi-layer synchronization scheme with inter-sender synchronization skewcontrol. | Zixia Huang, Klara Nahrstedt, Ke Liang |
| 2009 | NOSSDAV | Cross-tree adjustment for spatialized audio streaming over networked virtual environments. | Ke Liang, Roger Zimmermann |
| 2009 | SAC | Adaptive resource management architecture for distributed real-time embedded systems. | Ke Liang, Xingshe Zhou, Ruiqing Sheng, Kailong Zhang |
| 2008 | SNPD | An Adaptive Performance Management Method for Failure Detection. | Ke Liang, Xingshe Zhou, Kailong Zhang, Ruiqing Sheng |
| 2007 | MMM | Optimization of System Performance for DVC Applications with Energy Constraints over Ad Hoc Networks. | Lifeng Sun, Ke Liang, Shiqiang Yang, Yuzhuo Zhong |