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PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract)
Conference paper
Chan, Tsz Nam, Li, Zhe, Leong Hou, U., Cheng, Reynold. PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract)[C]:IEEE Computer Society, 2024, 5685-5686.
Authors:
Chan, Tsz Nam
;
Li, Zhe
;
Leong Hou, U.
;
Cheng, Reynold
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/09/03
Additive Kernel
Plame
Svm
Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract)
Conference paper
Guo Zhong, Chi-Man Pun. Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract)[C]:IEEE Computer Society, 2023, 3781 - 3782.
Authors:
Guo Zhong
;
Chi-Man Pun
Favorite
|
TC[Scopus]:
0
|
Submit date:2023/08/21
Data Clustering
Data Representation
Hypergraph Learning
Kernel Trick
Matrix Factorization
Multi-view Subspace Clustering with Complex Noise Modeling
Conference paper
Lu, Xiangyu, Zhu, Lingzhi, Sun, Yuyang. Multi-view Subspace Clustering with Complex Noise Modeling[C], New York, United States:Association for Computing Machinery, 2023, 48-57.
Authors:
Lu, Xiangyu
;
Zhu, Lingzhi
;
Sun, Yuyang
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/01/10
Low Rank
Multi-view
Noise Modeling
Sparsity
Subspace Clustering
Toward Efficient Automated Feature Engineering
Conference paper
Kafeng Wang, Pengyang Wang, Chengzhong Xu. Toward Efficient Automated Feature Engineering[C]:IEEE Computer Society, 2023, 1625-1637.
Authors:
Kafeng Wang
;
Pengyang Wang
;
Chengzhong Xu
Favorite
|
TC[Scopus]:
1
|
Submit date:2023/07/18
Approximate Hashing
Automated Feature Engineering
Minhash
Off-policy
Reinforcement Learning
A Deep Neural Network for Crossing-City POI Recommendations : (Extended Abstract)
Conference paper
Li, Dichao, Gong, Zhiguo. A Deep Neural Network for Crossing-City POI Recommendations : (Extended Abstract)[C]:IEEE Computer Society, 2023, 3851-3852.
Authors:
Li, Dichao
;
Gong, Zhiguo
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/02/23
CheetahKG: A Demonstration for Core-based Top-k Frequent Pattern Discovery on Knowledge Graphs
Conference paper
Bo Tang, Jian Zeng, Qiandong Tang, Chuan Yang, Qiaomu Shen, Leong Hou U, Xiao Yan, Dan Zeng. CheetahKG: A Demonstration for Core-based Top-k Frequent Pattern Discovery on Knowledge Graphs[C]:IEEE COMPUTER SOC10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2022, 3134-3137.
Authors:
Bo Tang
;
Jian Zeng
;
Qiandong Tang
;
Chuan Yang
;
Qiaomu Shen
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2023/01/30
Frequent Pattern Matching
Knowledge Graph
Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph
Conference paper
Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen. Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph[C]:IEEE, 2021, 2607-2612.
Authors:
Chi-Man Wong
;
Fan Feng
;
Wen Zhang
;
Chi-Man Vong
;
Hui Chen
; et al.
Favorite
|
TC[WOS]:
19
TC[Scopus]:
32
|
Submit date:2022/08/09
Conversational Recommender Systems (Crs)
Click-through Rate (Ctr)
K-dcn
Latent low-rank graph learning for multimodal clustering
Conference paper
Zhong, Guo, Pun, Chi Man. Latent low-rank graph learning for multimodal clustering[C], 2021, 492-503.
Authors:
Zhong, Guo
;
Pun, Chi Man
Favorite
|
TC[WOS]:
7
TC[Scopus]:
11
|
Submit date:2021/12/07
Fast core-based top-k frequent pattern discovery in knowledge graphs
Conference paper
Jian Zeng, Leong Hou U, Xiao Yan, Mingji Han, Bo Tang. Fast core-based top-k frequent pattern discovery in knowledge graphs[C]:IEEE, 2021, 936-947.
Authors:
Jian Zeng
;
Leong Hou U
;
Xiao Yan
;
Mingji Han
;
Bo Tang
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
|
Submit date:2021/12/07
Near-optimal fixed-route scheduling for crowdsourced transit system
Conference paper
Li, Hanlin, Wu, Xiaowei, Hou U, Leong, Pang Kou, Kun. Near-optimal fixed-route scheduling for crowdsourced transit system[C], 2021, 2273-2278.
Authors:
Li, Hanlin
;
Wu, Xiaowei
;
Hou U, Leong
;
Pang Kou, Kun
Favorite
|
TC[WOS]:
4
TC[Scopus]:
5
|
Submit date:2021/11/30
Near-optimal Scheduling
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