no code implementations • SemEval (NAACL) 2022 • Cong Chen, Jiansong Chen, Cao Liu, Fan Yang, Guanglu Wan, Jinxiong Xia
Furthermore, we leverage two data augment strategies and auxiliary tasks to improve the performance on few-label data and zero-shot cross-lingual settings.
no code implementations • CCL 2020 • Bailian Qiu, Mingwen Wang, Maoxi Li, Cong Chen, Fan Xu
机器翻译错误分析旨在找出机器译文中存在的错误, 包括错误类型、错误分布等, 它在机器翻译研究和应用中起着重要作用。该文将人工译后编辑与错误分析结合起来, 对译后编辑操作进行错误标注, 采用自动标注和人工标注相结合的方法, 构建了一个细粒度英汉机器翻译错误分析语料库, 其中每一个标注样本包括源语言句子、机器译文、人工参考译文、译后编辑译文、词错误率和错误类型标注;标注的错误类型包括增词、漏词、错词、词序错误、未译和命名实体翻译错误等。标注的一致性检验表明了标注的有效性;对标注语料的统计分析结果能有效地指导机器翻译系统的开发和人工译员的后编辑。
no code implementations • 27 Jan 2024 • Cong Chen, Siying Li, Lang Tong
We consider the problem of co-optimized energy-reserve market clearing with state-of-charge (SoC) dependent bids from battery storage participants.
no code implementations • 22 Nov 2023 • Shreshtha Dhankar, Cong Chen, Lang Tong
We consider the problem of hydrogen storage integration in microgrids to improve the electricity supply resilience.
no code implementations • 21 Nov 2023 • Siying Li, Cong Chen, Lang Tong
We show that the complex nonconvex market clearing problem can be convexified by a simple restriction on the SoC-dependent bid, rendering the intractable market clearing computation to standard linear programs.
no code implementations • 5 Jul 2023 • Cong Chen, Subhonmesh Bose, Timothy D. Mount, Lang Tong
Distributed energy resource aggregators (DERAs) must share the distribution network together with the distribution utility in order to participate in the wholesale electricity markets that are operated by independent system operators (ISOs).
no code implementations • 5 Jul 2023 • Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong
We consider the aggregation of distributed energy resources (DERs) by a profit-seeking DER aggregator (DERA), participating directly in the wholesale electricity market.
1 code implementation • 18 Jun 2023 • Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
STOIC2021 consisted of a Qualification phase, where participants developed challenge solutions using 2000 publicly available CT scans, and a Final phase, where participants submitted their training methodologies with which solutions were trained on CT scans of 9724 subjects.
no code implementations • CVPR 2023 • Sheng Liu, Cong Phuoc Huynh, Cong Chen, Maxim Arap, Raffay Hamid
We present a simple yet effective self-supervised pre-training method for image harmonization which can leverage large-scale unannotated image datasets.
no code implementations • 29 Nov 2022 • Cong Chen, Subhonmesh Bose, Lang Tong
We design a coordination mechanism between a distribution system operator (DSO) and distributed energy resource aggregators (DERAs) participating directly in the wholesale electricity market.
no code implementations • 8 Oct 2022 • Cong Chen, Lang Tong
Wholesale market participation of storage with state-of-charge (SoC) dependent bids results in a non-convex cost in a multi-interval economic dispatch, which requires a mixed-integer linear program in the market clearing.
no code implementations • 5 Sep 2022 • Cong Chen, Lang Tong
State-of-charge (SoC) dependent bidding allows merchant storage participants to incorporate SoC-dependent operation and opportunity costs in a bid-based market clearing process.
no code implementations • 1 Jul 2022 • Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong
Also obtained are DERA's bid and offer curves for its participation in the wholesale energy market and the optimal schedule of behind-the-meter resources.
no code implementations • 18 Apr 2022 • Cong Chen, Lang Tong
Pricing storage operation in the real-time market under demand and generation stochasticities is considered.
1 code implementation • 29 Mar 2022 • Rui Lin, Cong Chen, Ngai Wong
Existing low-rank tensor completion (LRTC) approaches aim at restoring a partially observed tensor by imposing a global low-rank constraint on the underlying completed tensor.
no code implementations • 21 Oct 2021 • Biying Fu, Cong Chen, Olaf Henniger, Naser Damer
This paper focuses on face images and the measurement of face image utility with general and face-specific image quality metrics.
no code implementations • 15 Aug 2021 • Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, XiaoLi Li
Diabetic retinopathy (DR) is one of the most common eye conditions among diabetic patients.
no code implementations • 25 Jan 2021 • Cong Chen, Lang Tong, Ye Guo
It is also shown that such settlements give rise to disincentives for generating firms and storage participants to bid truthfully, even when these market participants are rational price-takers in a competitive market.
no code implementations • 1 Jan 2021 • Jiarui Jin, Cong Chen, Ming Zhou, Weinan Zhang, Rasool Fakoor, David Wipf, Yong Yu, Jun Wang, Alex Smola
Goal-oriented reinforcement learning algorithms are often good at exploration, not exploitation, while episodic algorithms excel at exploitation, not exploration.
no code implementations • 27 Jul 2020 • Naser Damer, Jonas Henry Grebe, Cong Chen, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper
The recent COVID-19 pandemic have increased the value of hygienic and contactless identity verification.
1 code implementation • 13 Jul 2020 • Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo
(1) The teacher model serves a dual role as a teacher and a student, such that the teacher predictions on unlabeled images may be very close to those of student, which limits the upper-bound of the student.
no code implementations • 28 Feb 2020 • Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy.
no code implementations • 2 Jan 2020 • Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
In this paper, we propose a tensor train (TT)-based kernel technique for the first time, and apply it to the conventional support vector machine (SVM) for image classification.
no code implementations • 13 Nov 2019 • Ye Guo, Cong Chen, Lang Tong
Part I investigates dispatch-following incentives of profit-maximizing generators and shows that, under mild conditions, no uniform-pricing scheme for the rolling-window economic dispatch provides dispatch-following incentives that avoid discriminative out-of-the-market uplifts.
no code implementations • 12 Nov 2018 • Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
This work presents the matrix product operator RBM (MPORBM) that utilizes a tensor network generalization of Mv/TvRBM, preserves input formats in both the visible and hidden layers, and results in higher expressive power.
no code implementations • 9 Nov 2018 • Ching-Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong
Sum-product networks (SPNs) represent an emerging class of neural networks with clear probabilistic semantics and superior inference speed over graphical models.
no code implementations • 17 Apr 2018 • Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
There has been growing interest in extending traditional vector-based machine learning techniques to their tensor forms.
no code implementations • 13 Jun 2017 • Cong Chen, Shan-Shan Wang, Lei Liu, Zhi-Ming Yu, Xian-Lei Sheng, Ziyu Chen, Shengyuan A. Yang
Based on their formation mechanisms, Dirac points in three-dimensional systems can be classified as accidental or essential.
Materials Science