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A Method for Inferring Polymers Based on Linear Regression and Integer Programming


Aug 24, 2021
Ryota Ido, Shengjuan Cao, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

* arXiv admin note: substantial text overlap with arXiv:2107.02381; text overlap with arXiv:2108.10266 

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Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search


Aug 23, 2021
Naveed Ahmed Azam, Jianshen Zhu, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

* arXiv admin note: substantial text overlap with arXiv:2107.02381 

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Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling


Aug 23, 2021
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, YunfangWu, Xu Sun

* Accepted as a main track paper by IJCAI 21 

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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks


Aug 07, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu


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Communication Efficiency in Federated Learning: Achievements and Challenges


Jul 23, 2021
Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao


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Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks


Jul 21, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu


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An Inverse QSAR Method Based on Linear Regression and Integer Programming


Jul 13, 2021
Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu


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RefBERT: Compressing BERT by Referencing to Pre-computed Representations


Jun 11, 2021
Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen

* 8 pages, 1 figure, 3 tables, in IJCNN'21 

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Direct Simultaneous Multi-Image Registration


May 21, 2021
Zhehua Mao, Liang Zhao, Shoudong Huang, Yiting Fan, Alex Pui-Wai Lee

* 10 pages, 3 figures, 1 table 

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Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework


May 20, 2021
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao

* Junxiang Wang and Hongyi Li contribute equally to this work, and Yongchao Wang and Liang Zhao are corresponding authors. This work is under progress. arXiv admin note: substantial text overlap with arXiv:2009.02868 

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Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning


May 05, 2021
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao

* Under review at Neural Networks - Special Issue on AI and Brain Science 

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Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition


Mar 17, 2021
Boxiang Dong, Aparna S. Varde, Danilo Stevanovic, Jiayin Wang, Liang Zhao


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Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss


Mar 17, 2021
Boxiang Dong, Hui, Wang, Aparna S. Varde, Dawei Li, Bharath K. Samanthula, Weifeng Sun, Liang Zhao


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Sign-regularized Multi-task Learning


Feb 22, 2021
Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina Abad

* 17 pages, 4 figures, v1 

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GP: Context-free Grammar Pre-training for Text-to-SQL Parsers


Jan 25, 2021
Liang Zhao, Hexin Cao, Yunsong Zhao


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Online Decision Trees with Fairness


Oct 15, 2020
Wenbin Zhang, Liang Zhao

* arXiv admin note: substantial text overlap with arXiv:1907.07237 

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Disentangled Dynamic Graph Deep Generation


Oct 14, 2020
Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao


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FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data


Oct 12, 2020
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala


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A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions


Sep 28, 2020
Esteban Wilfredo Vilca Zuñiga, Liang Zhao


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Graph-based Multi-hop Reasoning for Long Text Generation


Sep 28, 2020
Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun


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Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints


Sep 20, 2020
Liming Zhang, Liang Zhao, Dieter Pfoser


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A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality


Sep 16, 2020
Esteban Vilca, Liang Zhao


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Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training


Sep 16, 2020
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao

* ICML 2020 Workshop on "Beyond first-order methods in ML systems" 

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Event Prediction in the Big Data Era: A Systematic Survey


Aug 04, 2020
Liang Zhao


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Event Prediction in Big Data Era: A Systematic Survey


Jul 21, 2020
Liang Zhao


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A Systematic Survey on Deep Generative Models for Graph Generation


Jul 18, 2020
Xiaojie Guo, Liang Zhao


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