ICDM

Publications

2023

Wanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao
Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback. ICDM (2023)
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
Uncertainty-aware Traffic Prediction under Missing Data. ICDM (2023)
Haipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng, Meng Li, Rong Gu, Chen Tian, Wanchun Dou
Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries. ICDM (2023)
Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM (2023)
Yiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu, Zi Huang
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. ICDM (2023)
Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM (2023)
Yupeng Li, Dacheng Wen, Haorui He, Jianxiong Guo, Xuan Ning, Francis C. M. Lau
Contextual Target-Specific Stance Detection on Twitter: Dataset and Method. ICDM (2023)
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. ICDM (2023)
Bin Yang, Tianmu Sha, Ying Xing, Ziyang Wang, Zhipu Xie, Xin Wang
ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate Prediction. ICDM (2023)
Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM (2023)
Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. ICDM (2023)
Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. ICDM (2023)
Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. ICDM (2023)
Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming
Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM (2023)
Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria
Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. ICDM (2023)
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM (2023)
Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang
Graph Reciprocal Neural Networks by Abstracting Node as Attribute. ICDM (2023)
Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu
Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. ICDM (2023)
Siyin Huang, Shao-Yuan Li, Songcan Chen
Personalized Federated Semi-Supervised Learning with Black-Box Models. ICDM (2023)
Shuo Wang, Keke Gai, Jing Yu, Liehuang Zhu
BDVFL: Blockchain-based Decentralized Vertical Federated Learning. ICDM (2023)
Jiayu He, Matloob Khushi, Tung-Anh Nguyen, Nguyen Hoang Tran
Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. ICDM (2023)
Zhe Zheng, Jingjing Gu, Qiang Zhou, Xinjiang Lu
Prediction in Long-term Evolution: Exploiting the Interaction Between Urban Crowd Flow Variation and POI Transition Patterns. ICDM (2023)
Wei Shao, Ziyan Peng, Yufan Kang, Xiao Xiao, Zhiling Jin
Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding. ICDM (2023)
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
Graph Self-Contrast Representation Learning. ICDM (2023)
Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. ICDM (2023)
Yujia Yang, Conghui Zheng, Li Pan
Homogeneous Entity Context Enhanced Representation Network for Temporal Knowledge Graph Reasoning. ICDM (2023)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM (2023)
Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM (2023)
Xinyi Zhou, Jipeng Jin, Li Ma, Xiaofeng Gao, Jianbo Yang, Xiongwen Yang, Lei Xiao
SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt Paradigm. ICDM (2023)
Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal
On the Verification of Embeddings with Hybrid Markov Logic. ICDM (2023)
Zuobin Xiong, Wei Li, Yingshu Li, Zhipeng Cai
Exact-Fun: An Exact and Efficient Federated Unlearning Approach. ICDM (2023)
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. ICDM (2023)
Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. ICDM (2023)
Guanhui Yang, Xiaoting Chen, Tengsen Zhang, Shuo Wang, Yun Yang
An Impact Study of Concept Drift in Federated Learning. ICDM (2023)
Tien-Cuong Bui, Wen-Syan Li
Toward Interpretable Graph Neural Networks via Concept Matching Model. ICDM (2023)
Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar
Entropy Aware Training for Fast and Accurate Distributed GNN. ICDM (2023)
Adeem Ali Anwar, Xuyun Zhang
Reinforcement Learning based Hyper-heuristics for Many-objective Pickup and Delivery Problem. ICDM (2023)
Jiaye Li, Hang Xu, Hao Yu, Weixin Li, Shichao Zhang
Anti-Noise Muiti-View Feature Selection With Sample Constraints. ICDM (2023)
Yufeng Zhang, Mengxiang Wang, Jianxing Yu
Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge. ICDM (2023)
Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu
Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM (2023)
Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong
Insight Analysis for Tennis Strategy and Tactics. ICDM (2023)
Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
Attacking c-MARL More Effectively: A Data Driven Approach. ICDM (2023)
Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho
Can Neural Networks Distinguish High-school Level Mathematical Concepts? ICDM (2023)
Jingkai Peng, Fei Xiong, Shirui Pan, Liang Wang, Xi Xiong
Robust Network Alignment with the Combination of Structure and Attribute Embeddings. ICDM (2023)
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. ICDM (2023)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng, Hongzhi Yin
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. ICDM (2023)
Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He
Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs. ICDM (2023)
Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. ICDM (2023)
Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, Liang Chang
Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement. ICDM (2023)
Liang Li, Weiwei Sun
Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space Retrieval. ICDM (2023)