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Publication search results
found 112 matches
- 2023
- Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang:
Abnormal Event Detection via Hypergraph Contrastive Learning. SDM 2023: 712-720 - Sheng Li:
Towards Trustworthy Representation Learning. SDM 2023: 957-960 - Yan Zhou, Murat Kantarcioglu, Chris Clifton:
On Improving Fairness of AI Models with Synthetic Minority Oversampling Techniques. SDM 2023: 874-882 - Shilei Cao, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li:
Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation. SDM 2023: 73-81 - Yanhao Wang, Michael Mathioudakis, Jia Li, Francesco Fabbri:
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. SDM 2023: 91-99 - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Ranking with submodular functions on the fly. SDM 2023: 604-612 - Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM 2023: 775-783 - Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie:
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM 2023: 316-324 - Mengyuan Zhang, Kai Liu:
Multi-Task Learning with Prior Information. SDM 2023: 586-594 - Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM 2023: 208-216 - Tian Xia, Sarp Aykent, Wei-Shinn Ku:
Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery. SDM 2023: 523-531 - Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu:
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. SDM 2023: 343-351 - Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara:
A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM 2023: 334-342 - Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu:
Optimal Smooth Approximation for Quantile Matrix Factorization. SDM 2023: 595-603 - Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. SDM 2023: 838-846 - Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM 2023: 891-899 - Khandakar Tanvir Ahmed, Sudipto Baul, Yanjie Fu, Wei Zhang:
Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate. SDM 2023: 469-477 - Chamalee Wickrama Arachchi, Nikolaj Tatti:
Node ranking in labeled networks. SDM 2023: 415-423 - Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao:
Saliency-Augmented Memory Completion for Continual Learning. SDM 2023: 244-252 - Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca:
Sign-Regularized Multi-Task Learning. SDM 2023: 793-801 - Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. SDM 2023: 109-117 - Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang:
TEM: High Utility Metric Differential Privacy on Text. SDM 2023: 883-890 - Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang:
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM 2023: 909-917 - Junyang Chen, Yidan Dai, Xianhui Chen, Yingshan Shen, Yan Luximon, Hailiang Wang, Yuxin He, Wenjun Ma, Xiaomao Fan:
StAGN: Spatial-Temporal Adaptive Graph Network via Contrastive Learning for Sleep Stage Classification. SDM 2023: 199-207 - Huiping Chen, Grigorios Loukides, Robert Gwadera, Solon P. Pissis:
Heavy Nodes in a Small Neighborhood: Algorithms and Applications. SDM 2023: 307-315 - Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia:
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. SDM 2023: 217-225 - Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun:
Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM 2023: 730-738 - Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi:
DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. SDM 2023: 442-450 - Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. SDM 2023: 226-234 - Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li:
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM 2023: 154-162
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