Yiping Ke

110 papers A* 27A 12B 2Misc 1Journal 57Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A conf
Bridge Breaking for Graph Neural Networks.
WSDM
Wei Li, Jiaxing Xu, Xia Dong, Yiping Ke
2026 J jnl
Model-based speech enhancement with spectral envelope correction using stacked autoencoders.
Eng. Appl. Artif. Intell.
Wenhao Lu, Zhenya Zang, Feng Qin, Xia Dong, Jie Han, Zuozhou Pan, Yiping Ke
2026 J jnl
Multi-Atlas Brain Network Classification Through Consistency Distillation and Complementary Information Fusion.
IEEE J. Biomed. Health Informatics
Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke
2026 J jnl
Toward a Multi-View Brain Network Foundation Model: Cross-View Consistency Learning Across Arbitrary Atlases.
CoRR
Jiaxing Xu, Jingying Ma, Xin Lin, Yuxiao Liu, Kai He, Qika Lin, Yiping Ke, Yang Li, Dinggang Shen, Xiaofeng Meng
2026 J jnl
Unsupervised multi-view feature selection via attentive hierarchical bipartite graphs with optimizable graph filter.
Inf. Fusion
Xia Dong, Danyang Wu, Yiping Ke, Feiping Nie
2025 A* conf
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation.
WWW
Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke
2025 J jnl
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation.
CoRR
Qingtian Bian, Marcus Vinícius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke
2025 A* conf
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis.
ICLR
Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke
2025 J jnl
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis.
CoRR
Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke
2025 J jnl
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification.
CoRR
Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng
2025 — conf
BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification.
MICCAI (12)
Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng
2025 J jnl
Directed Homophily-Aware Graph Neural Network.
CoRR
Aihu Zhang, Jiaxing Xu, Mengcheng Lan, Shili Xiang, Yiping Ke
2025 — conf
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations.
KDD (2)
Han Lei, Jiaxing Xu, Xia Dong, Yiping Ke
2025 J jnl
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations.
CoRR
Han Lei, Jiaxing Xu, Xia Dong, Yiping Ke
2025 A* conf
Multi-Domain Enhancement via Residual Interwoven Transfer in Cross-Domain Sequential Recommendation.
ACM Multimedia
Qingtian Bian, Tieying Li, Marcus Vinícius de Carvalho, Jiaxing Xu, Hui Fang, Yiping Ke
2025 J jnl
Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration.
CoRR
Yue Zhou, Litong Feng, Mengcheng Lan, Xue Yang, Qingyun Li, Yiping Ke, Xue Jiang, Wayne Zhang
2025 J jnl
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing.
CoRR
Wei Li, Mengcheng Lan, Jiaxing Xu, Yiping Ke
2025 J jnl
Rethinking the message passing for graph-level classification tasks in a category-based view.
Eng. Appl. Artif. Intell.
Lei Han, Jiaxing Xu, Jinjie Ni, Yiping Ke
2025 J jnl
Text4Seg++: Advancing Image Segmentation via Generative Language Modeling.
CoRR
Mengcheng Lan, Chaofeng Chen, Jiaxing Xu, Zongrui Li, Yiping Ke, Xudong Jiang, Yingchen Yu, Yunqing Zhao, Song Bai
2025 A* conf
Text4Seg: Reimagining Image Segmentation as Text Generation.
ICLR
Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
2025 J jnl
α-GAN by Rényi Cross Entropy.
CoRR
Ni Ding, Miao Qiao, Jiaxing Xu, Yiping Ke, Xiaoyu Zhang
2024 J jnl
A class-aware representation refinement framework for graph classification.
Inf. Sci.
Jiaxing Xu, Jinjie Ni, Yiping Ke
2024 A* conf
Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval.
ICDE
Tieying Li, Xiaochun Yang, Yiping Ke, Bin Wang, Yinan Liu, Jiaxing Xu
2024 — conf
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference.
ECCV (47)
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
2024 J jnl
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference.
CoRR
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
2024 A conf
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.
CIKM
Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao
2024 J jnl
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.
CoRR
Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao
2024 J jnl
Contrastive Graph Pooling for Explainable Classification of Brain Networks.
IEEE Trans. Medical Imaging
Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balázs Gulyás
2024 J jnl
Corrections to "Contrastive Graph Pooling for Explainable Classification of Brain Networks".
IEEE Trans. Medical Imaging
Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balázs Gulyás
2024 J jnl
GeoGround: A Unified Large Vision-Language Model. for Remote Sensing Visual Grounding.
CoRR
Yue Zhou, Mengcheng Lan, Xiang Li, Yiping Ke, Xue Jiang, Litong Feng, Wayne Zhang
2024 J jnl
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion.
CoRR
Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke
2024 — conf
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation.
ECCV (68)
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
2024 J jnl
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation.
CoRR
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
2024 J jnl
Text4Seg: Reimagining Image Segmentation as Text Generation.
CoRR
Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
2024 J jnl
Towards Vision-Language Geo-Foundation Model: A Survey.
CoRR
Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang
2024 A* conf
Union Subgraph Neural Networks.
AAAI
Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke
2023 J jnl
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell.
Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma
2023 A conf
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning.
CIKM
Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke
2023 J jnl
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning.
CoRR
Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke
2023 J jnl
Contrastive Graph Pooling for Explainable Classification of Brain Networks.
CoRR
Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balázs Gulyás
2023 A* conf
Data-Driven Network Neuroscience: On Data Collection and Benchmark.
NeurIPS
Jiaxing Xu, Yunhan Yang, David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon
2023 A* conf
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation.
NeurIPS
Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang
2023 J jnl
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation.
CoRR
Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang
2023 J jnl
Union Subgraph Neural Networks.
CoRR
Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke
2022 J jnl
A Class-Aware Representation Refinement Framework for Graph Classification.
CoRR
Jiaxing Xu, Jinjie Ni, Sophi Shilpa Gururajapathy, Yiping Ke
2022 J jnl
Data-Driven Network Neuroscience: On Data Collection and Benchmark.
CoRR
David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Yunhan Yang
2022 J jnl
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression.
IEEE Trans. Knowl. Data Eng.
Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
2022 J jnl
Subdomain Adaptation With Manifolds Discrepancy Alignment.
IEEE Trans. Cybern.
Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
2021 A* conf
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions.
KDD
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan
2021 J jnl
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions.
CoRR
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan
2021 J jnl
Practical Multisource Transfer Regression With Source-Target Similarity Captures.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
2020 J jnl
A unified linear convergence analysis of k-SVD.
Memetic Comput.
Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao
2020 A conf
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.
AAMAS
Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
2020 J jnl
Subdomain Adaptation with Manifolds Discrepancy Alignment.
CoRR
Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
2020 A conf
Succinct Adaptive Manifold Transfer.
CIKM
Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong
2020 A* conf
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks.
AAAI
Tianbo Li, Yiping Ke
2019 J jnl
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Pengfei Wei, Yiping Ke, Chi Keong Goh
2019 J jnl
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Wei, Yiping Ke, Chi Keong Goh
2019 A conf
Knowledge Transfer based on Multiple Manifolds Assumption.
CIKM
Pengfei Wei, Yiping Ke
2019 A* conf
Thinning for Accelerating the Learning of Point Processes.
NeurIPS
Tianbo Li, Yiping Ke
2018 A* conf
Transfer Hawkes Processes with Content Information.
ICDM
Tianbo Li, Pengfei Wei, Yiping Ke
2018 A* conf
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression.
ICDM
Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
2017 A conf
A Fast Algorithm for Matrix Eigen-decompositionn.
UAI
Zhiqiang Xu, Yiping Ke, Xin Gao
2017 A* conf
Domain Specific Feature Transfer for Hybrid Domain Adaptation.
ICDM
Pengfei Wei, Yiping Ke, Chi-Keong Goh
2017 A* conf
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.
ICML
Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh
2016 A* conf
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation.
IJCAI
Pengfei Wei, Yiping Ke, Chi Keong Goh
2016 A conf
Effective and Efficient Spectral Clustering on Text and Link Data.
CIKM
Zhiqiang Xu, Yiping Ke
2016 J jnl
Efficient Algorithms for Temporal Path Computation.
IEEE Trans. Knowl. Data Eng.
Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu
2016 J jnl
Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph.
CoRR
Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
2016 A* conf
Reachability and time-based path queries in temporal graphs.
ICDE
Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
2016 J jnl
Stochastic Variance Reduced Riemannian Eigensolver.
CoRR
Zhiqiang Xu, Yiping Ke
2015 — conf
Core decomposition in large temporal graphs.
IEEE BigData
Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu
2014 A* conf
A Fast Inference Algorithm for Stochastic Blockmodel.
ICDM
Zhiqiang Xu, Yiping Ke, Yi Wang
2014 J jnl
GBAGC: A General Bayesian Framework for Attributed Graph Clustering.
ACM Trans. Knowl. Discov. Data
Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2014 J jnl
Path Problems in Temporal Graphs.
Proc. VLDB Endow.
Huanhuan Wu, James Cheng, Silu Huang, Yiping Ke, Yi Lu, Yanyan Xu
2013 J jnl
High efficiency and quality: large graphs matching.
VLDB J.
Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin
2012 — conf
A model-based approach to attributed graph clustering.
SIGMOD Conference
Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2012 J jnl
Detecting Priming News Events
CoRR
Di Wu, Yiping Ke, Jeffrey Xu Yu, Zheng Liu
2012 — conf
Efficient processing of distance queries in large graphs: a vertex cover approach.
SIGMOD Conference
James Cheng, Yiping Ke, Shumo Chu, Carter Cheng
2012 A* conf
Fast algorithms for maximal clique enumeration with limited memory.
KDD
James Cheng, Linhong Zhu, Yiping Ke, Shumo Chu
2011 A* conf
Efficient core decomposition in massive networks.
ICDE
James Cheng, Yiping Ke, Shumo Chu, M. Tamer Özsu
2011 J jnl
Fast graph query processing with a low-cost index.
VLDB J.
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu
2011 J jnl
Finding maximal cliques in massive networks.
ACM Trans. Database Syst.
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu
2011 A conf
High efficiency and quality: large graphs matching.
CIKM
Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin
2011 J jnl
Leadership discovery when data correlatively evolve.
World Wide Web
Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen
2010 — conf
Detecting Leaders from Correlated Time Series.
DASFAA (1)
Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen
2010 — conf
Finding maximal cliques in massive networks by H*-graph.
SIGMOD Conference
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu
2010 — conf
Querying Large Graph Databases.
DASFAA (2)
Yiping Ke, James Cheng, Jeffrey Xu Yu
2010 Misc conf
Stock risk mining by news.
ADC
Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping Ke
2009 A* conf
Context-Aware Object Connection Discovery in Large Graphs.
ICDE
James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu
2009 A* conf
Efficient Discovery of Frequent Correlated Subgraph Pairs.
ICDM
Yiping Ke, James Cheng, Jeffrey Xu Yu
2009 A conf
Efficient processing of group-oriented connection queries in a large graph.
CIKM
James Cheng, Yiping Ke, Wilfred Ng
2009 J jnl
Efficient query processing on graph databases.
ACM Trans. Database Syst.
James Cheng, Yiping Ke, Wilfred Ng
2009 A conf
Top-k Correlative Graph Mining.
SDM
Yiping Ke, James Cheng, Jeffrey Xu Yu
2008 J jnl
A survey on algorithms for mining frequent itemsets over data streams.
Knowl. Inf. Syst.
James Cheng, Yiping Ke, Wilfred Ng
2008 J jnl
An information-theoretic approach to quantitative association rule mining.
Knowl. Inf. Syst.
Yiping Ke, James Cheng, Wilfred Ng
2008 J jnl
Correlated pattern mining in quantitative databases.
ACM Trans. Database Syst.
Yiping Ke, James Cheng, Wilfred Ng
2008 J jnl
Effective elimination of redundant association rules.
Data Min. Knowl. Discov.
James Cheng, Yiping Ke, Wilfred Ng
2008 J jnl
Efficient Correlation Search from Graph Databases.
IEEE Trans. Knowl. Data Eng.
Yiping Ke, James Cheng, Wilfred Ng
2008 J jnl
Maintaining frequent closed itemsets over a sliding window.
J. Intell. Inf. Syst.
James Cheng, Yiping Ke, Wilfred Ng
2008 A* conf
Spotting Significant Changing Subgraphs in Evolving Graphs.
ICDM
Zheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, Lei Chen
2007 A* conf
Correlation search in graph databases.
KDD
Yiping Ke, James Cheng, Wilfred Ng
2007 — conf
Fg-index: towards verification-free query processing on graph databases.
SIGMOD Conference
James Cheng, Yiping Ke, Wilfred Ng, An Lu
2007 B conf
Mining Vague Association Rules.
DASFAA
An Lu, Yiping Ke, James Cheng, Wilfred Ng
2006 A* conf
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining.
ICDE
Yiping Ke, James Cheng, Wilfred Ng
2006 B conf
Maintaining Frequent Itemsets over High-Speed Data Streams.
PAKDD
James Cheng, Yiping Ke, Wilfred Ng
2006 A* conf
Mining quantitative correlated patterns using an information-theoretic approach.
KDD
Yiping Ke, James Cheng, Wilfred Ng
2006 J jnl
Web dynamics and their ramifications for the development of Web search engines.
Comput. Networks
Yiping Ke, Lin Deng, Wilfred Ng, Dik Lun Lee
2006 A* conf
delta-Tolerance Closed Frequent Itemsets.
ICDM
James Cheng, Yiping Ke, Wilfred Ng
2004 A conf
WUML: A Web Usage Manipulation Language for Querying Web Log Data.
ER
Qingzhao Tan, Yiping Ke, Wilfred Ng