Jinyu Cai

56 papers A* 13B 1Journal 35Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
MoEGAD: A Mixture-of-Experts Framework With Pseudo-Anomaly Generation for Graph-Level Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Jinyu Cai, Yunhe Zhang, Pengyang Wang, See-Kiong Ng
2026 A* conf
SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information.
WWW
Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai, See-Kiong Ng
2026 A* conf
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration.
AAAI
Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang
2026 J jnl
discDC: Unsupervised discriminative deep image clustering via confidence-driven self-labeling.
Pattern Recognit.
Jinyu Cai, Wenzhong Guo, Yunhe Zhang, Jicong Fan
2025 J jnl
Automatic Syntax Error Repair for Discrete Controller Synthesis using Large Language Model.
CoRR
Yusei Ishimizu, Takuto Yamauchi, Sinan Chen, Jinyu Cai, Jialong Li, Kenji Tei
2025 J jnl
Detection and pose measurement of underground drill pipes based on GA-PointNet++.
Appl. Intell.
Jiangnan Luo, Jinyu Cai, Jianping Li, Deyi Zhang, Jiuhua Gao, Yuze Li, Liu Lei, Mengda Hao
2025 J jnl
GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction.
CoRR
Wei Guan, Jian Cao, Jinyu Cai, Qiqi Cai, Jianqi Gao, See-Kiong Ng
2025 J jnl
Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting.
CoRR
Enhong Mu, Jinyu Cai, Yijun Lu, Mingyue Zhang, Kenji Tei, Jialong Li
2025 A* conf
Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection.
ICML
Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng
2025 J jnl
MULTI: multimodal understanding leaderboard with text and images.
Sci. China Inf. Sci.
Zichen Zhu, Yang Xu, Lu Chen, Jingkai Yang, Yichuan Ma, Yiming Sun, Hailin Wen, Jiaqi Liu, Jinyu Cai, Yingzi Ma, Situo Zhang, Zihan Zhao, Liangtai Sun, Kai Yu
2025 A* conf
Mixture of Experts as Representation Learner for Deep Multi-View Clustering.
AAAI
Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng
2025 J jnl
More Than One Teacher: Adaptive Multi-Guidance Policy Optimization for Diverse Exploration.
CoRR
Xiaoyang Yuan, Yujuan Ding, Yi Bin, Wenqi Shao, Jinyu Cai, Jingkuan Song, Yang Yang, Heng Tao Shen
2025 J jnl
Multi-Grained Guaranteeable Requirement Analysis for Iterative Adaptation.
IEICE Trans. Inf. Syst.
Jialong Li, Takuto Yamauchi, Takanori Hirano, Jinyu Cai, Kenji Tei
2025 A* conf
Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning.
AAAI
Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng
2025 J jnl
SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models.
CoRR
Jinyu Cai, Jialong Li, Nianyu Li, Zhenyu Mao, Mingyue Zhang, Kenji Tei
2025 A* conf
Self-Discriminative Modeling for Anomalous Graph Detection.
ICML
Jinyu Cai, Yunhe Zhang, Jicong Fan
2025 J jnl
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms.
CoRR
Jinyu Cai, Yusei Ishimizu, Mingyue Zhang, Munan Li, Jialong Li, Kenji Tei
2025 J jnl
Towards Adaptive Masked Structural Learning for Graph-Level Clustering.
IEEE Trans. Netw. Sci. Eng.
Jinbin Yang, Jinyu Cai, Yunhe Zhang, Sujia Huang, Shiping Wang
2025 J jnl
WereWolf-Plus: An Update of Werewolf Game setting Based on DSGBench.
CoRR
Xinyuan Xia, Yuanyi Song, Haomin Ma, Jinyu Cai
2024 — conf
Automatic Adaptation Rule Optimization via Large Language Models.
ACSOS-C
Yusei Ishimizu, Jialong Li, Jinglue Xu, Jinyu Cai, Hitoshi Iba, Kenji Tei
2024 J jnl
Automatic Adaptation Rule Optimization via Large Language Models.
CoRR
Yusei Ishimizu, Jialong Li, Jinglue Xu, Jinyu Cai, Hitoshi Iba, Kenji Tei
2024 J jnl
Deep Masked Graph Node Clustering.
IEEE Trans. Comput. Soc. Syst.
Jinbin Yang, Jinyu Cai, Luying Zhong, Yueyang Pi, Shiping Wang
2024 A* conf
Deep Orthogonal Hypersphere Compression for Anomaly Detection.
ICLR
Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan
2024 J jnl
Deep graph-level clustering using pseudo-label-guided mutual information maximization network.
Neural Comput. Appl.
Jinyu Cai, Yi Han, Wenzhong Guo, Jicong Fan
2024 A* conf
Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment.
IJCAI
Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo
2024 — conf
Exploring Optimal eHMI Display Location for Various Vehicle Types: A VR User Study.
CHI Extended Abstracts
Nianzhao Zheng, Jialong Li, Nianyu Li, Mingyue Zhang, Jinyu Cai, Kenji Tei
2024 — conf
Exploring the Improvement of Evolutionary Computation via Large Language Models.
GECCO Companion
Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei
2024 J jnl
Exploring the Improvement of Evolutionary Computation via Large Language Models.
CoRR
Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei
2024 J jnl
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework.
CoRR
Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng
2024 A* conf
Kernel Readout for Graph Neural Networks.
IJCAI
Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan
2024 A* conf
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework.
IJCAI
Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng
2024 B conf
Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation.
CEC
Jinyu Cai, Jialong Li, Mingyue Zhang, Munan Li, Chen-Shu Wang, Kenji Tei
2024 J jnl
Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation.
CoRR
Jinyu Cai, Jialong Li, Mingyue Zhang, Munan Li, Chen-Shu Wang, Kenji Tei
2024 J jnl
MULTI: Multimodal Understanding Leaderboard with Text and Images.
CoRR
Zichen Zhu, Yang Xu, Lu Chen, Jingkai Yang, Yichuan Ma, Yiming Sun, Hailin Wen, Jiaqi Liu, Jinyu Cai, Yingzi Ma, Situo Zhang, Zihan Zhao, Liangtai Sun, Kai Yu
2024 — conf
Overcooked Plus: A Comprehensive Cooking Scenario TestBed for Enhancing the Evaluation of Autonomous Planning Algorithms.
ACSOS-C
Jinyu Cai, Jialong Li, Nianyu Li, Mingyue Zhang, Ruijia Yang, Kenji Tei
2024 A* conf
Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation.
ACM Multimedia
Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng
2024 J jnl
Wasserstein Embedding Learning for Deep Clustering: A Generative Approach.
IEEE Trans. Multim.
Jinyu Cai, Yunhe Zhang, Shiping Wang, Jicong Fan, Wenzhong Guo
2023 J jnl
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network.
CoRR
Jinyu Cai, Yi Han, Wenzhong Guo, Jicong Fan
2023 J jnl
Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection.
CoRR
Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan
2023 J jnl
Label correction using contrastive prototypical classifier for noisy label learning.
Inf. Sci.
Chaoyang Xu, Renjie Lin, Jinyu Cai, Shiping Wang
2023 J jnl
Self-Discriminative Modeling for Anomalous Graph Detection.
CoRR
Jinyu Cai, Yunhe Zhang, Jicong Fan
2023 J jnl
Value Iteration Networks With Gated Summarization Module.
IEEE Access
Jinyu Cai, Jialong Li, Mingyue Zhang, Kenji Tei
2023 J jnl
Value Iteration Networks with Gated Summarization Module.
CoRR
Jinyu Cai, Jialong Li, Mingyue Zhang, Kenji Tei
2022 J jnl
Deep image clustering by fusing contrastive learning and neighbor relation mining.
Knowl. Based Syst.
Chaoyang Xu, Renjie Lin, Jinyu Cai, Shiping Wang
2022 A* conf
Efficient Deep Embedded Subspace Clustering.
CVPR
Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang
2022 A* conf
Perturbation Learning Based Anomaly Detection.
NeurIPS
Jinyu Cai, Jicong Fan
2022 J jnl
Perturbation Learning Based Anomaly Detection.
CoRR
Jinyu Cai, Jicong Fan
2022 J jnl
Unsupervised Deep Discriminant Analysis Based Clustering.
CoRR
Jinyu Cai, Wenzhong Guo, Jicong Fan
2022 J jnl
Unsupervised deep clustering via contractive feature representation and focal loss.
Pattern Recognit.
Jinyu Cai, Shiping Wang, Chaoyang Xu, Wenzhong Guo
2022 — conf
Value Iteration Residual Network with Self-attention.
ISDA (3)
Jinyu Cai, Jialong Li, Zhenyu Mao, Kenji Tei
2021 J jnl
Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder.
Expert Syst. Appl.
Jinyu Cai, Shiping Wang, Wenzhong Guo
2020 J jnl
Unsupervised discriminative feature representation via adversarial auto-encoder.
Appl. Intell.
Wenzhong Guo, Jinyu Cai, Shiping Wang
2019 J jnl
An Overview of Unsupervised Deep Feature Representation for Text Categorization.
IEEE Trans. Comput. Soc. Syst.
Shiping Wang, Jinyu Cai, Qihao Lin, Wenzhong Guo
2019 — conf
Stacked Sparse Auto-Encoder for Deep Clustering.
ISPA/BDCloud/SocialCom/SustainCom
Jinyu Cai, Shiping Wang, Wenzhong Guo
2019 — conf
Unsupervised deep feature representation using adversarial auto-encoder.
ICPS
Jinyu Cai, Shiping Wang, Wenzhong Guo
2018 J jnl
Early warning classification of cluster supply chain emergency based on cloud model and datastream clustering algorithm.
J. Intell. Fuzzy Syst.
Hong Xue, Yiliang Lin, Yi Yuan, Jinyu Cai