Search Results for author: Bin Guo

Found 29 papers, 2 papers with code

Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations

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.

Dialogue Evaluation Multi-Task Learning +1

The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trends

no code implementations7 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.

Response Generation

Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning

no code implementations7 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.

Graph Learning Multi-agent Reinforcement Learning +1

RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence

no code implementations11 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.

Federated Learning Privacy Preserving

Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey

no code implementations27 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.

Scheduling

Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation

no code implementations4 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.

Preference Mapping

Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response

no code implementations21 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.

Decision Making Disaster Response

PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer

no code implementations13 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.

Response Generation Transfer Learning

Limits of Predictability in Top-N Recommendation

no code implementations23 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.

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

no code implementations29 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.

Video Enhancement

Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection

no code implementations11 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.

Self-Learning Time Series +1

IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation

no code implementations9 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.

Sequential Recommendation

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review

no code implementations2 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.

AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation

no code implementations11 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.

Community Question Answering

Multiway sparse distance weighted discrimination

1 code implementation11 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.

Classification

DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction

no code implementations18 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.

TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples

no code implementations16 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.

Defect Detection Transfer Learning

AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications

no code implementations28 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.

Model Compression

Towards information-rich, logical text generation with knowledge-enhanced neural models

no code implementations2 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.

Text Generation

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

no code implementations21 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.

Human Activity Recognition

The Future of Misinformation Detection: New Perspectives and Trends

no code implementations9 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.

Misinformation

Conditional Text Generation for Harmonious Human-Machine Interaction

no code implementations8 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.

Conditional Text Generation

Multi-agent Attentional Activity Recognition

no code implementations22 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.

Activity Recognition

AI-Powered Text Generation for Harmonious Human-Machine Interaction: Current State and Future Directions

no code implementations1 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.

Text Generation

Smart City Development with Urban Transfer Learning

no code implementations5 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.

Management Transfer Learning

CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data

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.

Collaborative Filtering Transfer Learning

Cautionary Tales on Air-Quality Improvement in Beijing

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.

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