Search Results for author: Yi Shen

Found 18 papers, 2 papers with code

Seq2Path: Generating Sentiment Tuples as Paths of a Tree

no code implementations Findings (ACL) 2022 Yue Mao, Yi Shen, Jingchao Yang, Xiaoying Zhu, Longjun Cai

A tree can represent “1-to-n” relations (e. g., an aspect term may correspond to multiple opinion terms) and the paths of a tree are independent and do not have orders.

Aspect-Based Sentiment Analysis (ABSA) Data Augmentation +1

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health

no code implementations9 Sep 2022 Yi Shen, Jessilyn Dunn, Michael M. Zavlanos

In this paper, we consider a risk-averse multi-armed bandit (MAB) problem where the goal is to learn a policy that minimizes the risk of low expected return, as opposed to maximizing the expected return itself, which is the objective in the usual approach to risk-neutral MAB.

Multi-Armed Bandits Transfer Learning

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games

no code implementations6 Sep 2022 Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl H. Johansson

Specifically, the agents use the conditional value at risk (CVaR) as a risk measure and rely on bandit feedback in the form of the cost values of the selected actions at every episode to estimate their CVaR values and update their actions.

Constrained Sequence-to-Tree Generation for Hierarchical Text Classification

no code implementations2 Apr 2022 Chao Yu, Yi Shen, Yue Mao, Longjun Cai

Hierarchical Text Classification (HTC) is a challenging task where a document can be assigned to multiple hierarchically structured categories within a taxonomy.

Multi-Label Classification text-classification +1

Risk-Averse No-Regret Learning in Online Convex Games

no code implementations16 Mar 2022 Zifan Wang, Yi Shen, Michael M. Zavlanos

To address this challenge, we propose a new online risk-averse learning algorithm that relies on one-point zeroth-order estimation of the CVaR gradients computed using CVaR values that are estimated by appropriately sampling the cost functions.

Visual Inference and Graphical Representation in Regression Discontinuity Designs

no code implementations6 Dec 2021 Christina Korting, Carl Lieberman, Jordan Matsudaira, Zhuan Pei, Yi Shen

Despite the widespread use of graphs in empirical research, little is known about readers' ability to process the statistical information they are meant to convey ("visual inference").


Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks

no code implementations8 Mar 2021 Qiumei Cheng, Shiying Zhou, Yi Shen, Dezhang Kong, Chunming Wu

To bypass the detection of NIDS, the generated network traffic and benign traffic are classified by a black-box NIDS.

Decision Making Image Generation +1 Cryptography and Security

A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis

no code implementations4 Jan 2021 Yue Mao, Yi Shen, Chao Yu, Longjun Cai

Some recent work focused on solving a combination of two subtasks, e. g., extracting aspect terms along with sentiment polarities or extracting the aspect and opinion terms pair-wisely.

Aspect-oriented Opinion Extraction Aspect Sentiment Triplet Extraction +4

Deformable and robust core-shell protein microcapsules templated by liquid-liquid phase separated microdroplets

no code implementations28 Sep 2020 Yufan Xu, Yi Shen, Thomas C. T. Michaels, Kevin N. Baumann, Daniele Vigolo, Quentin Peter, Yuqian Lu, Kadi L. Saar, Dominic Vella, Hongjia Zhu, Alexander P. M. Guttenplan, Marc Rodriguez-Garcia, Tuomas P. J. Knowles

Microfluidic mechanical testing revealed that the mechanical robustness of thicker-shell capsules could be controlled through modulation of the shell thickness.

Soft Condensed Matter Biological Physics

On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems

no code implementations29 Jul 2020 Zhuohuang Zhang, Chengyun Deng, Yi Shen, Donald S. Williamson, Yongtao Sha, Yi Zhang, Hui Song, Xiangang Li

Recent work has shown that it is feasible to use generative adversarial networks (GANs) for speech enhancement, however, these approaches have not been compared to state-of-the-art (SOTA) non GAN-based approaches.

Audio and Speech Processing Sound

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

3 code implementations CVPR 2020 Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Cong-Cong Li, Cordelia Schmid

Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road components, including moving agents (e. g. pedestrians and vehicles) and road context information (e. g. lanes, traffic lights).

Self-Driving Cars

Predicting the Popularity of Online Videos via Deep Neural Networks

no code implementations29 Nov 2017 Yue Mao, Yi Shen, Gang Qin, Longjun Cai

Predicting the popularity of online videos is important for video streaming content providers.

Multi-Task Learning Relation Network

Image Inpainting Using Directional Tensor Product Complex Tight Framelets

no code implementations11 Jul 2014 Yi Shen, Bin Han, Elena Braverman

In this paper, we establish the grouping effect property for frame-based convex minimization models using the balanced approach.

Image Denoising Image Inpainting +1

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