Yue Liu

According to our database, Yue Liu authored at least 87 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VisualTrans: A Benchmark for Real-World Visual Transformation Reasoning.

Yuheng Ji, Yipu Wang, Yuyang Liu, Xiaoshuai Hao, Yue Liu, Yuting Zhao, Huaihai Lyu, Xiaolong Zheng

CoRR, August, 2025

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Zhiping Cai, Yawei Zhao, Yue Liu, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance.

Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi

CoRR, July, 2025

TopicAttack: An Indirect Prompt Injection Attack via Topic Transition.

Yulin Chen, Haoran Li, Yuexin Li, Yue Liu, Yangqiu Song, Bryan Hooi

CoRR, July, 2025

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio.

Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu

CoRR, July, 2025

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs.

Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen

CoRR, July, 2025

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Xinzhong Zhu, Jiaheng Zhang

CoRR, June, 2025

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents.

Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, Yuexin Li, Shumin Deng, Lin Lu, Nay Oo, Shuicheng Yan, Bryan Hooi

CoRR, June, 2025

TFMKC: Tuning-Free Multiple Kernel Clustering Coupled With Diverse Partition Fusion.

Junpu Zhang, Liang Li, Pei Zhang, Yue Liu, Siwei Wang, Changbao Zhou, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.

Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

CoRR, May, 2025

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios.

Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin

CoRR, May, 2025

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

CoRR, May, 2025

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research.

Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi

CoRR, May, 2025

Efficient Reasoning via Chain of Unconscious Thought.

Ruihan Gong, Yue Liu, Wenjie Qu, Mingzhe Du, Yufei He, Yingwei Ma, Yulin Chen, Xiang Liu, Yi Wen, Xinfeng Li, Ruidong Wang, Xinzhong Zhu, Bryan Hooi, Jiaheng Zhang

CoRR, May, 2025

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models.

Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Zhe Wang, Xingjian Du, Shun Zhang, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, Xiaojun Jia, Yifan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Haoyang Li, Yiming Li, Xiaobin Zhuang, Yang Liu, Haibo Hu, Zhuo Chen, Zhizheng Wu, Xiaolin Hu, Eng-Siong Chng, XiaoFeng Wang, Wenyuan Xu, Wei Dong, Xinfeng Li

CoRR, May, 2025

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries.

Yuhao Wang, Wenjie Qu, Yanze Jiang, Zichen Liu, Yue Liu, Shengfang Zhai, Yinpeng Dong, Jiaheng Zhang

CoRR, May, 2025

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

CoRR, May, 2025

Improved Dual Correlation Reduction Network With Affinity Recovery.

Yue Liu, Sihang Zhou, Xihong Yang, Xinwang Liu, Wenxuan Tu, Liang Li, Xin Xu, Fuchun Sun

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction.

Yulin Chen, Haoran Li, Yuan Sui, Yue Liu, Yufei He, Yangqiu Song, Bryan Hooi

CoRR, April, 2025

Safety in Large Reasoning Models: A Survey.

Cheng Wang, Yue Liu, Baolong Li, Duzhen Zhang, Zhongzhi Li, Junfeng Fang

CoRR, April, 2025

FlowReasoner: Reinforcing Query-Level Meta-Agents.

Hongcheng Gao, Yue Liu, Yufei He, Longxu Dou, Chao Du, Zhijie Deng, Bryan Hooi, Min Lin, Tianyu Pang

CoRR, April, 2025

Geneshift: Impact of different scenario shift on Jailbreaking LLM.

Tianyi Wu, Zhiwei Xue, Yue Liu, Jiaheng Zhang, Bryan Hooi, See-Kiong Ng

CoRR, April, 2025

Efficient Inference for Large Reasoning Models: A Survey.

Yue Liu, Jiaying Wu, Yufei He, Hongcheng Gao, Hongyu Chen, Baolong Bi, Jiaheng Zhang, Zhiqi Huang, Bryan Hooi

CoRR, March, 2025

NaviDet: Efficient Input-level Backdoor Detection on Text-to-Image Synthesis via Neuron Activation Variation.

Shengfang Zhai, Jiajun Li, Yue Liu, Huanran Chen, Zhihua Tian, Wenjie Qu, Qingni Shen, Ruoxi Jia, Yinpeng Dong, Jiaheng Zhang

CoRR, March, 2025

SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li

IEEE Trans. Neural Networks Learn. Syst., February, 2025

GuardReasoner: Towards Reasoning-based LLM Safeguards.

Yue Liu, Hongcheng Gao, Shengfang Zhai, Jun Xia, Tianyi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, Jiaheng Zhang, Bryan Hooi

CoRR, January, 2025

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs.

Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi

Proceedings of the ACM on Web Conference 2025, 2025

Low-Bit Volterra Equalization with Automatic Grouping-Enabled Non-Uniform Quantization for High-Speed DML-Based IM/DD Systems.

Cancan Chen, Yue Liu, Qi Wu, Zhaopeng Xu, Jianwei Tang, Honglin Ji, Tonghui Ji, Hui Chen, Lulu Liu, Shangcheng Wang, Zhongliang Sun, Junpeng Liang, Jinlong Wei, Yuan Jiang, Weisheng Hu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation.

Yuheng Ji, Yue Liu, Zhicheng Zhang, Zhao Zhang, Yuting Zhao, Xiaoshuai Hao, Gang Zhou, Xingwei Zhang, Xiaolong Zheng

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo.

Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract).

Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Can Indirect Prompt Injection Attacks Be Detected and Removed?

Yulin Chen, Haoran Li, Yuan Sui, Yufei He, Yue Liu, Yangqiu Song, Bryan Hooi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution.

Songran Bai, Yuheng Ji, Yue Liu, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning.

Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu

IEEE Trans. Knowl. Data Eng., December, 2024

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining.

Wenxuan Tu, Shaohua Kevin Zhou, Xinwang Liu, Chunpeng Ge, Zhiping Cai, Yue Liu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Simple Contrastive Graph Clustering.

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Mixed Graph Contrastive Network for Semi-supervised Node Classification.

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2024

BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering.

Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li

IEEE Trans. Knowl. Data Eng., 2024

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.

Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng

IEEE Trans. Geosci. Remote. Sens., 2024

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

Yuhao Wang, Junwei Pan, Xiangyu Zhao, Pengyue Jia, Wanyu Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang

CoRR, 2024

FlipAttack: Jailbreak LLMs via Flipping.

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi

CoRR, 2024

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics.

Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li

CoRR, 2024

AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models.

Yuheng Ji, Yue Liu, Zhicheng Zhang, Zhao Zhang, Yuting Zhao, Gang Zhou, Xingwei Zhang, Xinwang Liu, Xiaolong Zheng

CoRR, 2024

NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics.

Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning.

Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure.

Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding.

Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation.

Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering.

Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.

Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.

Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning.

Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu

CoRR, 2023

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering.

Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

Message Intercommunication for Inductive Relation Reasoning.

Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu

CoRR, 2023

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment.

Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.

Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.

Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reinforcement Graph Clustering with Unknown Cluster Number.

Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.

Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dink-Net: Neural Clustering on Large Graphs.

Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules.

Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cluster-Guided Contrastive Graph Clustering Network.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

CoRR, 2022

Contrastive Deep Graph Clustering with Learnable Augmentation.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.

Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

CoRR, 2022

Relational Symmetry based Knowledge Graph Contrastive Learning.

Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu

CoRR, 2022

A Systematic Survey of Molecular Pre-trained Models.

Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li

CoRR, 2022

Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2022

Improved Dual Correlation Reduction Network.

Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang

CoRR, 2022

Multiple Kernel Clustering with Dual Noise Minimization.

Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Initializing Then Refining: A Simple Graph Attribute Imputation Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Graph Clustering via Dual Correlation Reduction.

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Siamese Attribute-missing Graph Auto-encoder.

Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu

CoRR, 2021

2018

FISH-MML: Fisher-HSIC Multi-View Metric Learning.

Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generalized Multi-view Unsupervised Feature Selection.

Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018