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2020 – today
- 2024
[j25]Jiaxing Xu
, Jinjie Ni, Yiping Ke:
A class-aware representation refinement framework for graph classification. Inf. Sci. 679: 121061 (2024)- [j24]Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balázs Gulyás:
Contrastive Graph Pooling for Explainable Classification of Brain Networks. IEEE Trans. Medical Imaging 43(9): 3292-3305 (2024) - [j23]Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balázs Gulyás:
Corrections to "Contrastive Graph Pooling for Explainable Classification of Brain Networks". IEEE Trans. Medical Imaging 43(11): 4075 (2024) - [c46]Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke:
Union Subgraph Neural Networks. AAAI 2024: 16173-16183 - [c45]Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao:
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. CIKM 2024: 2671-2681 - [c44]Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation. ECCV (68) 2024: 70-88 - [c43]Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference. ECCV (47) 2024: 143-160 - [c42]Tieying Li, Xiaochun Yang, Yiping Ke, Bin Wang, Yinan Liu, Jiaxing Xu:
Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval. ICDE 2024: 4643-4656 - [i18]Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang:
Towards Vision-Language Geo-Foundation Model: A Survey. CoRR abs/2406.09385 (2024) - [i17]Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference. CoRR abs/2407.12442 (2024) - [i16]Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation. CoRR abs/2408.04883 (2024) - [i15]Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao:
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. CoRR abs/2409.10944 (2024) - [i14]Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke:
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion. CoRR abs/2410.08228 (2024) - [i13]Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
Text4Seg: Reimagining Image Segmentation as Text Generation. CoRR abs/2410.09855 (2024) - [i12]Yue Zhou, Mengcheng Lan, Xiang Li, Yiping Ke, Xue Jiang, Litong Feng, Wayne Zhang:
GeoGround: A Unified Large Vision-Language Model. for Remote Sensing Visual Grounding. CoRR abs/2411.11904 (2024) - 2023
- [j22]Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma:
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7142-7156 (2023) - [c41]Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke:
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. CIKM 2023: 120-130 - [c40]Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang:
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. NeurIPS 2023 - [c39]Jiaxing Xu, Yunhan Yang, David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon:
Data-Driven Network Neuroscience: On Data Collection and Benchmark. NeurIPS 2023 - [i11]Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke:
Union Subgraph Neural Networks. CoRR abs/2305.15747 (2023) - [i10]Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balázs Gulyás:
Contrastive Graph Pooling for Explainable Classification of Brain Networks. CoRR abs/2307.11133 (2023) - [i9]Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke:
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. CoRR abs/2309.04802 (2023) - [i8]Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang:
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. CoRR abs/2310.17874 (2023) - 2022
- [j21]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. 52(11): 11698-11708 (2022) - [j20]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. 34(9): 4161-4171 (2022) - [i7]Jiaxing Xu, Jinjie Ni, Sophi Shilpa Gururajapathy, Yiping Ke:
A Class-Aware Representation Refinement Framework for Graph Classification. CoRR abs/2209.00936 (2022) - [i6]David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Yunhan Yang:
Data-Driven Network Neuroscience: On Data Collection and Benchmark. CoRR abs/2211.12421 (2022) - 2021
- [j19]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3498-3509 (2021) - [c38]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. KDD 2021: 986-994 - [i5]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. CoRR abs/2107.03354 (2021) - 2020
- [j18]Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. Memetic Comput. 12(4): 343-353 (2020) - [c37]Tianbo Li, Yiping Ke:
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. AAAI 2020: 4699-4706 - [c36]Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS 2020: 1485-1493 - [c35]Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong:
Succinct Adaptive Manifold Transfer. CIKM 2020: 1615-1624 - [i4]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR abs/2005.03229 (2020)
2010 – 2019
- 2019
- [j17]Pengfei Wei, Yiping Ke, Chi Keong Goh:
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(8): 1440-1451 (2019) - [j16]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1321-1334 (2019) - [c34]Pengfei Wei, Yiping Ke:
Knowledge Transfer based on Multiple Manifolds Assumption. CIKM 2019: 279-287 - [c33]Tianbo Li, Yiping Ke:
Thinning for Accelerating the Learning of Point Processes. NeurIPS 2019: 4093-4103 - 2018
- [c32]Tianbo Li, Pengfei Wei, Yiping Ke:
Transfer Hawkes Processes with Content Information. ICDM 2018: 1116-1121 - [c31]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM 2018: 1314-1319 - 2017
- [c30]Pengfei Wei, Yiping Ke, Chi-Keong Goh:
Domain Specific Feature Transfer for Hybrid Domain Adaptation. ICDM 2017: 1027-1032 - [c29]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - [c28]Zhiqiang Xu, Yiping Ke, Xin Gao:
A Fast Algorithm for Matrix Eigen-decompositionn. UAI 2017 - 2016
- [j15]Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu:
Efficient Algorithms for Temporal Path Computation. IEEE Trans. Knowl. Data Eng. 28(11): 2927-2942 (2016) - [c27]Zhiqiang Xu, Yiping Ke:
Effective and Efficient Spectral Clustering on Text and Link Data. CIKM 2016: 357-366 - [c26]Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke:
Reachability and time-based path queries in temporal graphs. ICDE 2016: 145-156 - [c25]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. IJCAI 2016: 2189-2195 - [i3]Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke:
Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph. CoRR abs/1601.05909 (2016) - [i2]Zhiqiang Xu, Yiping Ke:
Stochastic Variance Reduced Riemannian Eigensolver. CoRR abs/1605.08233 (2016) - 2015
- [c24]Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu:
Core decomposition in large temporal graphs. IEEE BigData 2015: 649-658 - 2014
- [j14]Huanhuan Wu, James Cheng, Silu Huang, Yiping Ke, Yi Lu, Yanyan Xu:
Path Problems in Temporal Graphs. Proc. VLDB Endow. 7(9): 721-732 (2014) - [j13]Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng:
GBAGC: A General Bayesian Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data 9(1): 5:1-5:43 (2014) - [c23]Zhiqiang Xu, Yiping Ke, Yi Wang:
A Fast Inference Algorithm for Stochastic Blockmodel. ICDM 2014: 620-629 - 2013
- [j12]Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin:
High efficiency and quality: large graphs matching. VLDB J. 22(3): 345-368 (2013) - 2012
- [c22]James Cheng, Linhong Zhu, Yiping Ke, Shumo Chu:
Fast algorithms for maximal clique enumeration with limited memory. KDD 2012: 1240-1248 - [c21]James Cheng, Yiping Ke, Shumo Chu, Carter Cheng:
Efficient processing of distance queries in large graphs: a vertex cover approach. SIGMOD Conference 2012: 457-468 - [c20]Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng:
A model-based approach to attributed graph clustering. SIGMOD Conference 2012: 505-516 - [i1]Di Wu, Yiping Ke, Jeffrey Xu Yu, Zheng Liu:
Detecting Priming News Events. CoRR abs/1201.3458 (2012) - 2011
- [j11]James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu:
Finding maximal cliques in massive networks. ACM Trans. Database Syst. 36(4): 21:1-21:34 (2011) - [j10]James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu:
Fast graph query processing with a low-cost index. VLDB J. 20(4): 521-539 (2011) - [j9]Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen:
Leadership discovery when data correlatively evolve. World Wide Web 14(1): 1-25 (2011) - [c19]Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin:
High efficiency and quality: large graphs matching. CIKM 2011: 1755-1764 - [c18]James Cheng, Yiping Ke, Shumo Chu, M. Tamer Özsu:
Efficient core decomposition in massive networks. ICDE 2011: 51-62 - 2010
- [c17]Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping Ke:
Stock risk mining by news. ADC 2010: 179-188 - [c16]Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen:
Detecting Leaders from Correlated Time Series. DASFAA (1) 2010: 352-367 - [c15]Yiping Ke, James Cheng, Jeffrey Xu Yu:
Querying Large Graph Databases. DASFAA (2) 2010: 487-488 - [c14]James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu:
Finding maximal cliques in massive networks by H*-graph. SIGMOD Conference 2010: 447-458
2000 – 2009
- 2009
- [j8]James Cheng, Yiping Ke, Wilfred Ng:
Efficient query processing on graph databases. ACM Trans. Database Syst. 34(1): 2:1-2:48 (2009) - [c13]James Cheng, Yiping Ke, Wilfred Ng:
Efficient processing of group-oriented connection queries in a large graph. CIKM 2009: 1481-1484 - [c12]James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu:
Context-Aware Object Connection Discovery in Large Graphs. ICDE 2009: 856-867 - [c11]Yiping Ke, James Cheng, Jeffrey Xu Yu:
Efficient Discovery of Frequent Correlated Subgraph Pairs. ICDM 2009: 239-248 - [c10]Yiping Ke, James Cheng, Jeffrey Xu Yu:
Top-k Correlative Graph Mining. SDM 2009: 1038-1049 - 2008
- [j7]James Cheng, Yiping Ke, Wilfred Ng:
Effective elimination of redundant association rules. Data Min. Knowl. Discov. 16(2): 221-249 (2008) - [j6]James Cheng, Yiping Ke, Wilfred Ng:
Maintaining frequent closed itemsets over a sliding window. J. Intell. Inf. Syst. 31(3): 191-215 (2008) - [j5]James Cheng, Yiping Ke, Wilfred Ng:
A survey on algorithms for mining frequent itemsets over data streams. Knowl. Inf. Syst. 16(1): 1-27 (2008) - [j4]Yiping Ke, James Cheng, Wilfred Ng:
An information-theoretic approach to quantitative association rule mining. Knowl. Inf. Syst. 16(2): 213-244 (2008) - [j3]Yiping Ke, James Cheng, Wilfred Ng:
Efficient Correlation Search from Graph Databases. IEEE Trans. Knowl. Data Eng. 20(12): 1601-1615 (2008) - [j2]Yiping Ke, James Cheng, Wilfred Ng:
Correlated pattern mining in quantitative databases. ACM Trans. Database Syst. 33(3): 14:1-14:45 (2008) - [c9]Zheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, Lei Chen:
Spotting Significant Changing Subgraphs in Evolving Graphs. ICDM 2008: 917-922 - 2007
- [c8]An Lu, Yiping Ke, James Cheng, Wilfred Ng:
Mining Vague Association Rules. DASFAA 2007: 891-897 - [c7]Yiping Ke, James Cheng, Wilfred Ng:
Correlation search in graph databases. KDD 2007: 390-399 - [c6]James Cheng, Yiping Ke, Wilfred Ng, An Lu:
Fg-index: towards verification-free query processing on graph databases. SIGMOD Conference 2007: 857-872 - 2006
- [j1]Yiping Ke, Lin Deng, Wilfred Ng, Dik Lun Lee:
Web dynamics and their ramifications for the development of Web search engines. Comput. Networks 50(10): 1430-1447 (2006) - [c5]Yiping Ke, James Cheng, Wilfred Ng:
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining. ICDE 2006: 112 - [c4]James Cheng, Yiping Ke, Wilfred Ng:
delta-Tolerance Closed Frequent Itemsets. ICDM 2006: 139-148 - [c3]Yiping Ke, James Cheng, Wilfred Ng:
Mining quantitative correlated patterns using an information-theoretic approach. KDD 2006: 227-236 - [c2]James Cheng, Yiping Ke, Wilfred Ng:
Maintaining Frequent Itemsets over High-Speed Data Streams. PAKDD 2006: 462-467 - 2004
- [c1]Qingzhao Tan, Yiping Ke, Wilfred Ng:
WUML: A Web Usage Manipulation Language for Querying Web Log Data. ER 2004: 567-581
Coauthor Index
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last updated on 2025-01-28 22:34 CET by the dblp team
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