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.
Ranked #2 on Aspect-Based Sentiment Analysis (ABSA) on ASTE
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
1 code implementation • 7 Nov 2024 • Yi Shen, Hanyan Huang
In this paper, a hypercube policy regularization framework is proposed, this method alleviates the constraints of policy constraint methods by allowing the agent to explore the actions corresponding to similar states in the static dataset, which increases the effectiveness of algorithms in low-quality datasets.
3 code implementations • 4 Nov 2024 • Xingwu Sun, Yanfeng Chen, Yiqing Huang, Ruobing Xie, Jiaqi Zhu, Kai Zhang, Shuaipeng Li, Zhen Yang, Jonny Han, Xiaobo Shu, Jiahao Bu, Zhongzhi Chen, Xuemeng Huang, Fengzong Lian, Saiyong Yang, Jianfeng Yan, Yuyuan Zeng, Xiaoqin Ren, Chao Yu, Lulu Wu, Yue Mao, Jun Xia, Tao Yang, Suncong Zheng, Kan Wu, Dian Jiao, Jinbao Xue, Xipeng Zhang, Decheng Wu, Kai Liu, Dengpeng Wu, Guanghui Xu, Shaohua Chen, Shuang Chen, Xiao Feng, Yigeng Hong, Junqiang Zheng, Chengcheng Xu, Zongwei Li, Xiong Kuang, Jianglu Hu, Yiqi Chen, Yuchi Deng, Guiyang Li, Ao Liu, Chenchen Zhang, Shihui Hu, Zilong Zhao, Zifan Wu, Yao Ding, Weichao Wang, Han Liu, Roberts Wang, Hao Fei, Peijie Yu, Ze Zhao, Xun Cao, Hai Wang, Fusheng Xiang, Mengyuan Huang, Zhiyuan Xiong, Bin Hu, Xuebin Hou, Lei Jiang, Jianqiang Ma, Jiajia Wu, Yaping Deng, Yi Shen, Qian Wang, Weijie Liu, Jie Liu, Meng Chen, Liang Dong, Weiwen Jia, Hu Chen, Feifei Liu, Rui Yuan, Huilin Xu, Zhenxiang Yan, Tengfei Cao, Zhichao Hu, Xinhua Feng, Dong Du, TingHao Yu, Yangyu Tao, Feng Zhang, Jianchen Zhu, Chengzhong Xu, Xirui Li, Chong Zha, Wen Ouyang, Yinben Xia, Xiang Li, Zekun He, Rongpeng Chen, Jiawei Song, Ruibin Chen, Fan Jiang, Chongqing Zhao, Bo wang, Hao Gong, Rong Gan, Winston Hu, Zhanhui Kang, Yong Yang, Yuhong Liu, Di Wang, Jie Jiang
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 billion activation parameters, capable of handling up to 256K tokens.
no code implementations • 18 Oct 2024 • Kavinayan P. Sivakumar, Yi Shen, Zachary Bell, Scott Nivison, Boyuan Chen, Michael M. Zavlanos
In this paper, we study an inverse reinforcement learning problem that involves learning the reward function of a learning agent using trajectory data collected while this agent is learning its optimal policy.
no code implementations • 9 Oct 2024 • Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
In this paper, we address the challenge of heterogeneous data distributions in cross-silo federated learning by introducing a novel algorithm, which we term Cross-silo Robust Clustered Federated Learning (CS-RCFL).
no code implementations • 15 Jul 2024 • Yi Shen, Shao Gu
Recently, interesting empirical phenomena known as Neural Collapse have been observed during the final phase of training deep neural networks for classification tasks.
no code implementations • 11 Jul 2024 • Yixin Jin, Meiqi Wang, Meng Li, Wenjing Zhou, Yi Shen, Hao liu
In this paper, we describe our approaches to TREC Real-Time Summarization of Twitter.
no code implementations • 6 Jul 2024 • Xianfu Chen, Celimuge Wu, Yi Shen, Yusheng Ji, Tsutomu Yoshinaga, Qiang Ni, Charilaos C. Zarakovitis, Honggang Zhang
This article investigates a control system within the context of six-generation wireless networks.
no code implementations • 22 May 2024 • Chang Zhou, Yang Zhao, Jin Cao, Yi Shen, Xiaoling Cui, Chiyu Cheng
This paper explores the integration of strategic optimization methods in search advertising, focusing on ad ranking and bidding mechanisms within E-commerce platforms.
1 code implementation • 3 Apr 2024 • Yi Shen, Hanyan Huang
Offline reinforcement learning learns from a static dataset without interacting with environments, which ensures security and thus owns a good application prospect.
no code implementations • 31 Jan 2024 • Jialiang Wu, Yi Shen, Ziheng Zhang, Longjun Cai
Emotion-Cause Pair Extraction (ECPE) involves extracting clause pairs representing emotions and their causes in a document.
no code implementations • 30 Jan 2024 • Yi Shen, Zachary Van Oosten, Ruodu Wang
We introduce the concept of partial law invariance, generalizing the concepts of law invariance and probabilistic sophistication widely used in decision theory, as well as statistical and financial applications.
no code implementations • 15 Sep 2023 • Yi Shen, Pan Xu, Michael M. Zavlanos
To overcome these limitations, we propose a novel DRO approach that employs the Wasserstein distance instead.
no code implementations • 9 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.
no code implementations • 6 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.
no code implementations • 2 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.
no code implementations • 16 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.
no code implementations • 22 Dec 2021 • Lin Yang, Yi Shen, Yue Mao, Longjun Cai
Emotion recognition in conversation (ERC) aims to detect the emotion label for each utterance.
Ranked #8 on Emotion Recognition in Conversation on DailyDialog
no code implementations • 6 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").
no code implementations • 7 Jun 2021 • Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos
We assume that this context is not accessible to a learner agent who can only observe the expert data.
no code implementations • 8 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
no code implementations • 4 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-Based Sentiment Analysis Aspect-oriented Opinion Extraction +6
no code implementations • 28 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
no code implementations • 25 Sep 2020 • Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, WangMeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, HaoNing Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Yukai Shi, Zhijing Yang, Xiaojun Yang, Haoyu Zhong, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020.
4 code implementations • 19 Aug 2020 • Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Cong-Cong Li, Dragomir Anguelov
Our key insight is that for prediction within a moderate time horizon, the future modes can be effectively captured by a set of target states.
no code implementations • 29 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
4 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).
no code implementations • 29 Nov 2017 • Yue Mao, Yi Shen, Gang Qin, Longjun Cai
Predicting the popularity of online videos is important for video streaming content providers.
no code implementations • 11 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.