Generalized Multi-view Unsupervised Feature Selection. - Yue Liu 008; Changqing Zhang; Pengfei Zhu 001; Qinghua Hu (ICANN (2), 2018)

FISH-MML: Fisher-HSIC Multi-View Metric Learning. - Changqing Zhang; Yeqing Liu; Yue Liu 008; Qinghua Hu; Xinwang Liu 002; Pengfei Zhu 001 (IJCAI, 2018)

Siamese Attribute-missing Graph Auto-encoder. - Wenxuan Tu; Sihang Zhou 001; Yue Liu 008; Xinwang Liu 002 (CoRR, 2021)

Deep Graph Clustering via Dual Correlation Reduction. - Yue Liu 008; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Linxuan Song; Xihong Yang; En Zhu (AAAI, 2022)

Initializing Then Refining: A Simple Graph Attribute Imputation Network. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Yue Liu 008; Zhiping Cai; En Zhu; Changwang Zhang; Jieren Cheng (IJCAI, 2022)

Multiple Kernel Clustering with Dual Noise Minimization. - Junpu Zhang; Liang Li; Siwei Wang 001; Jiyuan Liu 003; Yue Liu 008; Xinwang Liu 002; En Zhu (ACM Multimedia, 2022)

Improved Dual Correlation Reduction Network. - Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; Wenxuan Tu; Xihong Yang (CoRR, 2022)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; En Zhu (CoRR, 2022)

A Systematic Survey of Molecular Pre-trained Models. - Jun Xia 001; Yanqiao Zhu 001; Yuanqi Du; Yue Liu 008; Stan Z. Li (CoRR, 2022)

Relational Symmetry based Knowledge Graph Contrastive Learning. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; Wenxuan Tu (CoRR, 2022)

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. - Yue Liu 008; Jun Xia 001; Sihang Zhou 001; Siwei Wang 001; Xifeng Guo 001; Xihong Yang; Ke Liang 006; Wenxuan Tu; Stan Z. Li; Xinwang Liu 002 (CoRR, 2022)

Contrastive Deep Graph Clustering with Learnable Augmentation. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Siwei Wang 001; Xinwang Liu 002; En Zhu (CoRR, 2022)

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001 (CoRR, 2022)

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. - Jingcan Duan; Siwei Wang 001; Pei Zhang 008; En Zhu; Jingtao Hu; Hu Jin; Yue Liu 008; Zhibin Dong (AAAI, 2023)

Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Zhen Wang; Ke Liang 006; Wenxuan Tu; Liang Li; Jingcan Duan; Cancan Chen (AAAI, 2023)

Cluster-Guided Contrastive Graph Clustering Network. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Qun Zheng; Xinwang Liu 002; Liming Fang 001; En Zhu (AAAI, 2023)

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. - Jun Xia 001; Chengshuai Zhao; Bozhen Hu; Zhangyang Gao; Cheng Tan 012; Yue Liu 008; Siyuan Li 002; Stan Z. Li (ICLR, 2023)

Dink-Net: Neural Clustering on Large Graphs. - Yue Liu 008; Ke Liang 006; Jun Xia 001; Sihang Zhou 001; Xihong Yang; Xinwang Liu 002; Stan Z. Li (ICML, 2023)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. - Meng Liu 014; Ke Liang 006; Dayu Hu; Hao Yu; Yue Liu 008; Lingyuan Meng; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002 (ACM Multimedia, 2023)

Reinforcement Graph Clustering with Unknown Cluster Number. - Yue Liu 008; Ke Liang 006; Jun Xia 001; Xihong Yang; Sihang Zhou 001; Meng Liu 014; Xinwang Liu 002; Stan Z. Li (ACM Multimedia, 2023)

DealMVC: Dual Contrastive Calibration for Multi-view Clustering. - Xihong Yang; Jiaqi Jin; Siwei Wang 001; Ke Liang 006; Yue Liu 008; Yi Wen 001; Suyuan Liu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2023)

CONVERT: Contrastive Graph Clustering with Reliable Augmentation. - Xihong Yang; Cheng Tan 012; Yue Liu 008; Ke Liang 006; Siwei Wang 001; Sihang Zhou 001; Jun Xia 001; Stan Z. Li; Xinwang Liu 002; En Zhu (ACM Multimedia, 2023)

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. - Jun Xia 001; Lecheng Zhang; Xiao Zhu; Yue Liu 008; Zhangyang Gao; Bozhen Hu; Cheng Tan 012; Jiangbin Zheng 002; Siyuan Li 002; Stan Z. Li (NeurIPS, 2023)

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (SIGIR, 2023)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Wenxuan Tu; Yue Liu 008; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. - Lingyuan Meng; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Yue Liu 008; Meng Liu 014; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

Message Intercommunication for Inductive Relation Reasoning. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Yue Liu 008; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. - Meng Liu 014; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. - Ke Liang 006; Sihang Zhou 001; Yue Liu 008; Lingyuan Meng; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. - Ke Liang 006; Sihang Zhou 001; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Yi Zhang 104; Liming Fang 001; Zhe Liu 001; Xinwang Liu 002 (AAAI, 2024)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Wenxuan Tu; Siwei Wang 001; Yue Liu 008; Meng Liu 014; Long Zhao 002; Xiangjun Dong 001; Xinwang Liu 002 (AAAI, 2024)

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. - Cheng Tan 012; Zhangyang Gao; Lirong Wu; Jun Xia 001; Jiangbin Zheng 002; Xihong Yang; Yue Liu 008; Bozhen Hu; Stan Z. Li (AAAI, 2024)

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. - Jun Xia 001; Shaorong Chen; Yue Liu 008; Zhangyang Gao; Jiangbin Zheng 002; Xihong Yang; Stan Z. Li (ICDE, 2024)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ICLR, 2024)

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. - Shengju Yu; Zhibin Dong; Siwei Wang 001; Xinhang Wan; Yue Liu 008; Weixuan Liang; Pei Zhang 008; Wenxuan Tu; Xinwang Liu 002 (ICML, 2024)

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Yue Liu 008; Meng Liu 014; Wei Wei; Suyuan Liu; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ACM Multimedia, 2024)

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. - Xihong Yang; Erxue Min; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Huijun Wu 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2024)

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding. - Ke Liang 006; Yue Liu 008; Hao Li 025; Lingyuan Meng; Suyuan Liu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (NeurIPS, 2024)

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. - Bozhen Hu; Cheng Tan 012; Jun Xia 001; Yue Liu 008; Lirong Wu; Jiangbin Zheng 002; Yongjie Xu; Yufei Huang 002; Stan Z. Li (NeurIPS, 2024)

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. - Sizhe Liu; Jun Xia 001; Lecheng Zhang; Yuchen Liu; Yue Liu 008; Wenjie Du 003; Zhangyang Gao; Bozhen Hu; Cheng Tan 012; Hongxin Xiang; Stan Z. Li (NeurIPS, 2024)

NovoBench: Benchmarking Deep Learning-based emph{De Novo} Sequencing Methods in Proteomics. - Jingbo Zhou; Shaorong Chen; Jun Xia 001; Sizhe Liu; Tianze Ling; Wenjie Du 003; Yue Liu 008; Jianwei Yin; Stan Z. Li (NeurIPS, 2024)

AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models. - Yuheng Ji; Yue Liu 008; Zhicheng Zhang; Zhao Zhang 002; Yuting Zhao; Gang Zhou; Xingwei Zhang; Xinwang Liu 002; Xiaolong Zheng 001 (CoRR, 2024)

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. - Jingbo Zhou; Shaorong Chen; Jun Xia 001; Sizhe Liu; Tianze Ling; Wenjie Du 003; Yue Liu 008; Jianwei Yin; Stan Z. Li (CoRR, 2024)

FlipAttack: Jailbreak LLMs via Flipping. - Yue Liu 008; Xiaoxin He; Miao Xiong; Jinlan Fu; Shumin Deng; Bryan Hooi (CoRR, 2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Xiangyu Zhao 001; Pengyue Jia; Wanyu Wang; Yuan Wang; Yue Liu 008; Dapeng Liu; Jie Jiang 015 (CoRR, 2024)

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Wenxuan Tu; Jun Wang 118; Yue Liu 008; Xianju Li; Chang Tang; Ruyi Feng (IEEE Trans. Geosci. Remote. Sens., 2024)

BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering. - Liang Li; Yuangang Pan; Jie Liu 002; Yue Liu 008; Xinwang Liu 002; Kenli Li 001; Ivor W. Tsang; Keqin Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Wenxuan Tu; Yi Wen 001; Xihong Yang; Xiangjun Dong 001; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Mixed Graph Contrastive Network for Semi-supervised Node Classification. - Xihong Yang; Yiqi Wang 001; Yue Liu 008; Yi Wen 001; Lingyuan Meng; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Simple Contrastive Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Siwei Wang 001; Ke Liang 006; Wenxuan Tu; Liang Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. - Wenxuan Tu; Shaohua Kevin Zhou; Xinwang Liu 002; Chunpeng Ge 001; Zhiping Cai; Yue Liu 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. - Lingyuan Meng; Ke Liang 006; Hao Yu; Yue Liu 008; Sihang Zhou 001; Meng Liu 014; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution. - Songran Bai; Yuheng Ji; Yue Liu 008; Xingwei Zhang; Xiaolong Zheng 001; Daniel Dajun Zeng (AAAI, 2025)

Can Indirect Prompt Injection Attacks Be Detected and Removed? - Yulin Chen; Haoran Li 003; Yuan Sui; Yufei He; Yue Liu 008; Yangqiu Song; Bryan Hooi (ACL (1), 2025)

BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract). - Liang Li; Yuangang Pan; Jie Liu 002; Yue Liu 008; Xinwang Liu 002; Kenli Li 001; Ivor W. Tsang; Keqin Li 001 (ICDE, 2025)

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. - Jun Xia 001; Sizhe Liu; Jingbo Zhou; Shaorong Chen; Hongxin Xiang; Zicheng Liu 006; Yue Liu 008; Stan Z. Li (ICLR, 2025)

Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation. - Yuheng Ji; Yue Liu 008; Zhicheng Zhang; Zhao Zhang 002; Yuting Zhao; Xiaoshuai Hao; Gang Zhou; Xingwei Zhang; Xiaolong Zheng 001 (ICMR, 2025)

Low-Bit Volterra Equalization with Automatic Grouping-Enabled Non-Uniform Quantization for High-Speed DML-Based IM/DD Systems. - Cancan Chen; Yue Liu 008; Qi Wu 023; Zhaopeng Xu; Jianwei Tang; Honglin Ji; Tonghui Ji; Hui Chen; Lulu Liu; Shangcheng Wang; Zhongliang Sun; Junpeng Liang; et al. (OFC, 2025)

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. - Yufei He; Yuan Sui; Xiaoxin He; Yue Liu 008; Yifei Sun 002; Bryan Hooi (WWW, 2025)

GuardReasoner: Towards Reasoning-based LLM Safeguards. - Yue Liu 008; Hongcheng Gao; Shengfang Zhai; Jun Xia 001; Tianyi Wu; Zhiwei Xue; Yulin Chen; Kenji Kawaguchi; Jiaheng Zhang; Bryan Hooi (CoRR, 2025)

SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning. - Lingyuan Meng; Ke Liang 006; Bin Xiao 002; Sihang Zhou 001; Yue Liu 008; Meng Liu 014; Xihong Yang; Xinwang Liu 002; Jinyan Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

NaviDet: Efficient Input-level Backdoor Detection on Text-to-Image Synthesis via Neuron Activation Variation. - Shengfang Zhai; Jiajun Li; Yue Liu 008; Huanran Chen; Zhihua Tian; Wenjie Qu 001; Qingni Shen; Ruoxi Jia 001; Yinpeng Dong; Jiaheng Zhang (CoRR, 2025)

Efficient Inference for Large Reasoning Models: A Survey. - Yue Liu 008; Jiaying Wu; Yufei He; Hongcheng Gao; Hongyu Chen; Baolong Bi; Jiaheng Zhang; Zhiqi Huang; Bryan Hooi (CoRR, 2025)

Geneshift: Impact of different scenario shift on Jailbreaking LLM. - Tianyi Wu; Zhiwei Xue; Yue Liu 008; Jiaheng Zhang; Bryan Hooi; See-Kiong Ng (CoRR, 2025)

FlowReasoner: Reinforcing Query-Level Meta-Agents. - Hongcheng Gao; Yue Liu 008; Yufei He; Longxu Dou; Chao Du; Zhijie Deng; Bryan Hooi; Min Lin; Tianyu Pang (CoRR, 2025)

Safety in Large Reasoning Models: A Survey. - Cheng Wang; Yue Liu 008; Baolong Li; Duzhen Zhang; Zhongzhi Li; Junfeng Fang (CoRR, 2025)

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction. - Yulin Chen; Haoran Li 003; Yuan Sui; Yue Liu 008; Yufei He; Yangqiu Song; Bryan Hooi (CoRR, 2025)

Improved Dual Correlation Reduction Network With Affinity Recovery. - Yue Liu 008; Sihang Zhou 001; Xihong Yang; Xinwang Liu 002; Wenxuan Tu; Liang Li; Xin Xu 001; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. - Yue Liu 008; Shengfang Zhai; Mingzhe Du; Yulin Chen; Tri Cao; Hongcheng Gao; Cheng Wang; Xinfeng Li; Kun Wang 056; Junfeng Fang; Jiaheng Zhang; Bryan Hooi (CoRR, 2025)

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries. - Yuhao Wang 006; Wenjie Qu 001; Yanze Jiang; Zichen Liu; Yue Liu 008; Shengfang Zhai; Yinpeng Dong; Jiaheng Zhang (CoRR, 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 019; Xingjian Du; Shun Zhang; Hanjun Luo; Yingbin Jin; Xinxin Xing; et al. (CoRR, 2025)

Efficient Reasoning via Chain of Unconscious Thought. - Ruihan Gong; Yue Liu 008; Wenjie Qu 001; Mingzhe Du; Yufei He; Yingwei Ma; Yulin Chen; Xiang Liu; Yi Wen 001; Xinfeng Li; Ruidong Wang; Xinzhong Zhu; et al. (CoRR, 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 008; Bryan Hooi (CoRR, 2025)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. - Yi Wen 001; Yue Liu 008; Derong Xu; Huishi Luo; Pengyue Jia; Yiqing Wu; Siwei Wang 001; Ke Liang 006; Maolin Wang 001; Yiqi Wang 001; Fuzhen Zhuang; Xiangyu Zhao 001 (CoRR, 2025)

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios. - Xihong Yang; Siwei Wang 001; Fangdi Wang; Jiaqi Jin; Suyuan Liu; Yue Liu 008; En Zhu; Xinwang Liu 002; Yueming Jin (CoRR, 2025)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. - Mingzhe Du; Luu Tuan Tuan; Yue Liu 008; Yuhao Qing; Dong Huang 005; Xinyi He; Qian Liu 012; Zejun Ma; See-Kiong Ng (CoRR, 2025)

TFMKC: Tuning-Free Multiple Kernel Clustering Coupled With Diverse Partition Fusion. - Junpu Zhang; Liang Li; Pei Zhang 008; Yue Liu 008; Siwei Wang 001; Changbao Zhou; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents. - Tri Cao; Bennett Lim; Yue Liu 008; Yuan Sui; Yuexin Li; Shumin Deng; Lin Lu; Nay Oo; Shuicheng Yan; Bryan Hooi (CoRR, 2025)

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning. - Zhenhao Zhu; Yue Liu 008; Yingwei Ma; Hongcheng Gao; Nuo Chen; Yanpei Guo; Wenjie Qu 001; Huiying Xu; Xinzhong Zhu; Jiaheng Zhang (CoRR, 2025)

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs. - Yaowen Hu; Wenxuan Tu; Yue Liu 008; Miaomiao Li 001; Wenpeng Lu; Zhigang Luo; Xinwang Liu 002; Ping Chen (CoRR, 2025)

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio. - Yaowen Hu; Wenxuan Tu; Yue Liu 008; Xinhang Wan; Junyi Yan; Taichun Zhou; Xinwang Liu 002 (CoRR, 2025)

TopicAttack: An Indirect Prompt Injection Attack via Topic Transition. - Yulin Chen; Haoran Li 003; Yuexin Li; Yue Liu 008; Yangqiu Song; Bryan Hooi (CoRR, 2025)

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance. - Yufei He; Ruoyu Li; Alex Chen; Yue Liu 008; Yulin Chen; Yuan Sui; Cheng Chen 008; Yi Zhu; Luca Luo; Frank Yang; Bryan Hooi (CoRR, 2025)

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Zhiping Cai; Yawei Zhao; Yue Liu 008; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

VisualTrans: A Benchmark for Real-World Visual Transformation Reasoning. - Yuheng Ji; Yipu Wang; Yuyang Liu; Xiaoshuai Hao; Yue Liu 008; Yuting Zhao; Huaihai Lyu; Xiaolong Zheng 001 (CoRR, 2025)