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Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning


Dec 06, 2020
Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang

* 18 pages, 5 figures 

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Defocus Blur Detection via Salient Region Detection Prior


Nov 19, 2020
Ming Qian, Min Xia, Chunyi Sun, Zhiwei Wang, Liguo Weng


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Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection


Aug 31, 2020
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang


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Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models


May 27, 2020
Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang

* 10 pages 

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Siamese Neural Networks for Class Activity Detection


May 15, 2020
Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu

* The 21th International Conference on Artificial Intelligence in Education(AIED), 2020 

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Learning Multi-level Dependencies for Robust Word Recognition


Nov 22, 2019
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu


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Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach


Nov 08, 2019
Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang

* Submitted to IEEE Transactions on Smart Grid 

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Automatic Short Answer Grading via Multiway Attention Networks


Sep 23, 2019
Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu

* The 20th International Conference on Artificial Intelligence in Education(AIED), 2019 

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Deep Knowledge Tracing with Side Information


Sep 01, 2019
Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu

* The 20th International Conference on Artificial Intelligence in Education(AIED), 2019 

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Recommender Systems with Heterogeneous Side Information


Jul 18, 2019
Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu

* Proceedings of the 2019 World Wide Web Conference 

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R-Transformer: Recurrent Neural Network Enhanced Transformer


Jul 12, 2019
Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang


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Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning


Apr 24, 2019
Ruisheng Diao, Zhiwei Wang, Di Shi, Qianyun Chang, Jiajun Duan, Xiaohu Zhang

* To be published (Accepted) in: Proceedings of the Power and Energy Society General Meeting (PESGM), Atlanta, GA, 2019 

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Probabilistic Load Forecasting via Point Forecast Feature Integration


Mar 26, 2019
Qicheng Chang, Yishen Wang, Xiao Lu, Di Shi, Haifeng Li, Jiajun Duan, Zhiwei Wang

* To appear in ISGT ASIA 2019 

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Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis


Mar 26, 2019
Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li

* To appear in ISGT ASIA 2019 

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Submodular Load Clustering with Robust Principal Component Analysis


Feb 20, 2019
Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang

* Accepted by 2019 IEEE PES General Meeting, Atlanta, GA 

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Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization


Dec 17, 2018
Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang


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A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation


Dec 06, 2018
Yao Cui, Zhehan Yi, Jiajun Duan, Di Shi, Zhiwei Wang

* 2019 IEEE ISGT NA 

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A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties


Nov 29, 2018
Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang

* IEEE ISGT NA 2019 

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Power Market Price Forecasting via Deep Learning


Oct 23, 2018
Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang

* This manuscript has been accepted by the incoming conference IECON 2018 at Washington DC, USA, Oct. 21-23, 2018 

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Linked Recurrent Neural Networks


Aug 19, 2018
Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang


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