no code implementations • COLING 2022 • Meiguo Wang, Benjamin Yao, Bin Guo, Xiaohu Liu, Yu Zhang, Tuan-Hung Pham, Chenlei Guo
To evaluate the performance of a multi-domain goal-oriented Dialogue System (DS), it is important to understand what the users’ goals are for the conversations and whether those goals are successfully achieved.
no code implementations • 7 Feb 2024 • Mengqi Chen, Bin Guo, Hao Wang, Haoyu Li, Qian Zhao, Jingqi Liu, Yasan Ding, Yan Pan, Zhiwen Yu
To depict the research trends of CogAgent, in this paper, we first present several fundamental cognitive psychology theories and give the formalized definition of three typical cognitive strategies, including the persuasion strategy, the topic path planning strategy, and the argument structure prediction strategy.
no code implementations • 7 Nov 2023 • Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan, Bin Guo, Chau Yuen
Nevertheless, existing MARL algorithms ignore effective information aggregation which is fundamental for improving the learning capacity of decentralized agents.
no code implementations • 11 Oct 2023 • Changan Yang, Yaxing Chen, Yao Zhang, Helei Cui, Zhiwen Yu, Bin Guo, Zheng Yan, Zijiang Yang
Although federated learning (FL) is a promising tool to solve the problem, adapting conventional FL frameworks to VCI is nontrivial.
no code implementations • 27 Sep 2023 • Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu
Accordingly, the accuracy and responsiveness of DL models are bounded by resource availability.
no code implementations • 4 Sep 2023 • Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Next, we aim to build distributional implicit matchings between the domain-level preferences of two domains.
no code implementations • 21 Aug 2023 • Lei Han, Chunyu Tu, Zhiwen Yu, Zhiyong Yu, Weihua Shan, Liang Wang, Bin Guo
In this paper, we explicitly address the route planning for a group of agents, including UAVs, workers, and cars, with the goal of maximizing the task completion rate.
no code implementations • 13 Jun 2023 • Xu Han, Bin Guo, Yoon Jung, Benjamin Yao, Yu Zhang, Xiaohu Liu, Chenlei Guo
Personalized dialogue agents (DAs) powered by large pre-trained language models (PLMs) often rely on explicit persona descriptions to maintain personality consistency.
no code implementations • 23 Mar 2023 • En Xu, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao
This work investigates such predictability by studying the degree of regularity from a specific set of user behavior data.
no code implementations • 29 Nov 2022 • Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu
We report extensive experiments on diverse datasets, scenarios, and platforms and demonstrate the superiority of AdaEnlight compared with state-of-the-art low-light image and video enhancement solutions.
no code implementations • 11 Nov 2022 • Yunpeng Zhao, Fugen Zhou, Bin Guo, Bo Liu
The proposed spatial temporal graph convolution block directly exploits BOLD time series as input features, which provides an interesting view for rsfMRI-based preclinical AD diagnosis.
no code implementations • 9 Aug 2022 • Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
In this study, we address these concerns by learning (1) multi-scale representations of short-term interests; and (2) dynamics-aware representations of long-term interests.
no code implementations • 2 Jul 2022 • Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in the era of artificial intelligence.
no code implementations • 11 Oct 2021 • Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu
On the one hand, we model the rich correlations between the users' diverse behaviors (e. g., answer, follow, vote) to obtain the individual-level behavior interaction.
1 code implementation • 11 Oct 2021 • Bin Guo, Lynn E. Eberly, Pierre-Gilles Henry, Christophe Lenglet, Eric F. Lock
We conducted extensive simulation studies, showing that our model is robust to the degree of sparsity and improves classification accuracy when the data have multiway structure.
no code implementations • 18 Aug 2021 • Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu
To address these issues, we propose DeepExpress - a deep-learning based express delivery sequence prediction model, which extends the classic seq2seq framework to learning complex coupling between sequence and features.
no code implementations • 16 Aug 2021 • Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu
To solve the imbalanced distribution problem, in this paper we propose TL-SDD: a novel Transfer Learning-based method for Surface Defect Detection.
no code implementations • 28 Jan 2021 • Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du
There are many deep learning (e. g., DNN) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of human lives.
no code implementations • 2 Mar 2020 • Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu
Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life.
no code implementations • 21 Jan 2020 • Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
In this study, we present a survey of the state-of-the-art deep learning methods for sensor-based human activity recognition.
no code implementations • 9 Sep 2019 • Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
We first give a brief review of the literature history of MID, based on which we present several new research challenges and techniques of it, including early detection, detection by multimodal data fusion, and explanatory detection.
no code implementations • 8 Sep 2019 • Bin Guo, Hao Wang, Yasan Ding, Wei Wu, Shaoyang Hao, Yueqi Sun, Zhiwen Yu
In recent years, with the development of deep learning, text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication.
no code implementations • 7 Aug 2019 • Bin Guo, Huihui Chen, Yan Liu, Chao Chen, Qi Han, Zhiwen Yu
A generic model for CrowdMining is further proposed based on a set of existing studies.
no code implementations • 24 May 2019 • Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu
In fact, user's behaviors from different domains regarding the same items are usually relevant.
no code implementations • 22 May 2019 • Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
And the multiple agents in the proposed model represent activities with collective motions across body parts by independently selecting modalities associated with single motions.
no code implementations • 1 May 2019 • Qiuyun Zhang, Bin Guo, Hao Wang, Yunji Liang, Shaoyang Hao, Zhiwen Yu
In the last two decades, the landscape of text generation has undergone tremendous changes and is being reshaped by the success of deep learning.
no code implementations • 5 Aug 2018 • Leye Wang, Bin Guo, Qiang Yang
To address this problem, transfer learning can be leveraged to accelerate the smart city development, which we term the urban transfer learning paradigm.
1 code implementation • https://dl.acm.org/doi/10.1145/3161411 2018 • Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu
To solve the cold-start problem, we propose CityTransfer, which transfers chain store knowledge from semantically-relevant domains (e. g., other cities with rich knowledge, similar chain enterprises in the target city) for chain store placement recommendation in a new city.
no code implementations • Proceedings of the Royal Society A 2017 • Shuyi Zhang, Bin Guo, Anlan Dong, Jing He, Ziping Xu, Song Xi Chen
While this statistic offered some relief for the inhabitants of the capital, we present several analyses based on Beijing's PM2. 5 data of the past 4 years at 36 monitoring sites along with meteorological data of the past 7 years.