Search Results for author: Chun Wang

Found 16 papers, 1 papers with code

Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities

no code implementations28 Feb 2024 Luyang Hou, Jun Yan, Yuankai Wu, Chun Wang, Tie Qiu

Energy Internet (EI) is emerging as new share economy platform for flexible local energy supplies in smart cities.

energy trading

Wireless Regional Imaging through Reconfigurable Intelligent Surfaces: Passive Mode

no code implementations19 Nov 2023 Fuhai Wang, Chun Wang, Rujing Xiong, Zhengyu Wang, Tiebin Mi, Robert Caiming Qiu

In this paper, we propose a multi-RIS-aided wireless imaging framework in 3D facing the distributed placement of multi-sensor networks.

XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility

no code implementations15 Oct 2023 Xiaoming Li, Hubert Normandin-Taillon, Chun Wang, Xiao Huang

In the realm of Mobility-on-Demand (MoD) systems, the forecasting of rider demand is a cornerstone for operational decision-making and system optimization.

Decision Making Time Series Forecasting

Comprehensive performance comparison among different types of features in data-driven battery state of health estimation

no code implementations27 Aug 2023 Xinhong Feng, Yongzhi Zhang, Rui Xiong, Chun Wang

In this study, a physics-informed Gaussian process regression (GPR) model is developed for battery SOH estimation, with the performance being systematically compared with that of different types of features and machine learning (ML) methods.

GPR Management +1

Linear pretraining in recurrent mixture density networks

no code implementations27 Feb 2023 Hubert Normandin-Taillon, Frédéric Godin, Chun Wang

The pretraining method helps the RMDN avoid bad local minima during training and improves its robustness to the persistent NaN problem, as defined by Guillaumes [2017], which is often encountered with mixture density networks.

Double-Barreled Question Detection at Momentive

no code implementations12 Feb 2022 Peng Jiang, Krishna Sumanth Muppalla, Qing Wei, Chidambara Natarajan Gopal, Chun Wang

We concluded that the word2vec subword embedding with maximum pooling is the optimal word embedding representation in terms of precision and running time in the offline experiments using the survey data at Momentive.

Active Learning BIG-bench Machine Learning

Distributionally Robust Prescriptive Analytics with Wasserstein Distance

no code implementations10 Jun 2021 Tianyu Wang, Ningyuan Chen, Chun Wang

In prescriptive analytics, the decision-maker observes historical samples of $(X, Y)$, where $Y$ is the uncertain problem parameter and $X$ is the concurrent covariate, without knowing the joint distribution.

Portfolio Optimization

A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming

no code implementations26 Jun 2020 Xiaoming Li, Chun Wang, Xiao Huang, Yimin Nie

To fill the gap, in this work, we propose an innovative data-driven dynamic stochastic programming (DD-DSP) framework for time-series decision-making problem, which involves three components: GRU, Gaussian Mixture Model (GMM) and SP.

Decision Making Time Series +1

Learning and Optimization with Seasonal Patterns

no code implementations16 May 2020 Ningyuan Chen, Chun Wang, Longlin Wang

We show that our learning policy incurs a regret upper bound $\tilde{O}(\sqrt{T\sum_{k=1}^K T_k})$ where $T_k$ is the period of arm $k$.

Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification

no code implementations IJCNLP 2019 Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma

It has been demonstrated that multiple senses of a word actually reside in linear superposition within the word embedding so that specific senses can be extracted from the original word embedding.

General Classification text-classification +1

Towards Monetary Incentives in Social Q&A Services

no code implementations3 Mar 2017 Steve T. K. Jan, Chun Wang, Qing Zhang, Gang Wang

Community-based question answering (CQA) services are facing key challenges to motivate domain experts to provide timely answers.

Question Answering

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