Honghui Chen

发表

Your Relevance Feedback Is Essential: Enhancing the Learning to Rank Using the Virtual Feature Based Logistic Regression

Deke Guo, Zhen Shu, Fei Cai, 2012, PloS one.

Sequence-aware Knowledge Distillation for a Lightweight Event Representation

Fei Cai, Honghui Chen, Jianming Zheng, 2022, ACM Transactions on Information Systems.

Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition

Honghui Chen, Miao Jiang, Xin Zhang, 2022, Mathematics.

Sequential or jumping: context-adaptive response generation for open-domain dialogue systems

Fei Cai, Tianqi Wang, Honghui Chen, 2022, Applied Intelligence.

Hard-style Selective Context Utilization for dialogue generation based on what user just said

Fei Cai, Tianqi Wang, Honghui Chen, 2022, Knowledge-Based Systems.

Taxonomy-Aware Prototypical Network for Few-Shot Relation Extraction

Honghui Chen, Jianming Zheng, Mengru Wang, 2022, Mathematics.

Topic Enhanced Affective Response Generation in multi-Turn Dialogues

Honghui Chen, Dengfeng Liu, Yanying Mao, 2022, 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN).

Web document ranking via active learning and kernel principal component analysis

Zhen Shu, Fei Cai, Honghui Chen, 2015 .

Hybrid Non-Local Network for Abstractive Summarization

Cheng Gong, Zepeng Hao, Yupu Guo, 2019, IOP Conference Series: Materials Science and Engineering.

Memory-Enhanced Abstractive Summarization

Honghui Chen, Taihua Shao, Zepeng Hao, 2019, Journal of Physics: Conference Series.

Hierarchical Neural Representation for Document Classification

Fei Cai, Honghui Chen, Jianming Zheng, 2019, Cognitive Computation.

Context-Controlled Topic-Aware Neural Response Generation for Open-Domain Dialog Systems

Wanyu Chen, Xuejun Hu, Fei Cai, 2021, Inf. Process. Manag..

Joint Neural Collaborative Filtering for Recommender Systems

M. de Rijke, Honghui Chen, Wanyu Chen, 2019, ACM Trans. Inf. Syst..

Hierarchical neural query suggestion with an attention mechanism

M. de Rijke, Maarten de Rijke, Honghui Chen, 2020, Inf. Process. Manag..

Dynamic Graph Learning for Session-Based Recommendation

Wanyu Chen, Zhiqiang Pan, Honghui Chen, 2021, Mathematics.

Star Graph Neural Networks for Session-based Recommendation

M. de Rijke, Wanyu Chen, Zhiqiang Pan, 2020, CIKM.

Transformer-Based Neural Network for Answer Selection in Question Answering

Zepeng Hao, Honghui Chen, Yupu Guo, 2019, IEEE Access.

Collaborative Learning for Answer Selection in Question Answering

Pengfei Zhang, Xiaoyan Kui, Honghui Chen, 2019, IEEE Access.

Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems

M. de Rijke, Maarten de Rijke, Fei Cai, 2020, WWW.

Graph Co-Attentive Session-based Recommendation

Fei Cai, Honghui Chen, Zhiqiang Pan, 2021, ACM Trans. Inf. Syst..

Investigating Prompt Learning for Chinese Few-Shot Text Classification with Pre-Trained Language Models

Chengyu Song, Dengfeng Liu, Siyuan Wang, 2022, Applied Sciences.

Taxonomy-aware Learning for Few-Shot Event Detection

Wanyu Chen, Jianming Zheng, Fei Cai, 2021, WWW.

DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction

Fei Cai, Honghui Chen, Jianming Zheng, 2022, COLING.

A Dynamic Co-attention Network for Session-based Recommendation

M. de Rijke, Fei Cai, Honghui Chen, 2019, CIKM.

A Probabilistic Model for Information Retrieval by Mining User Behaviors

Fei Cai, Honghui Chen, 2016, Cognitive Computation.

A Hybrid-Preference Neural Model for Basket-Sensitive Item Recommendation

Zhiqiang Pan, Honghui Chen, Wanyu Chen, 2020, IEEE Access.

An entity-graph based reasoning method for fact verification

Xuejun Hu, Jianming Zheng, Fei Cai, 2021, Inf. Process. Manag..

Exploiting Query’s Temporal Patterns for Query Autocompletion

Fei Cai, Honghui Chen, Danyang Jiang, 2017 .

Term-level semantic similarity helps time-aware term popularity based query completion

Honghui Chen, Fei Cai, Fei Cai, 2017, J. Intell. Fuzzy Syst..

Cloze-Style Data Augmentation for Few-Shot Intent Recognition

Honghui Chen, Jianming Zheng, Miao Jiang, 2022, Mathematics.

A Joint Neural Network for Session-Aware Recommendation

Honghui Chen, Yanxiang Ling, Yupu Guo, 2020, IEEE Access.

Knowledge-Enhanced Graph Attention Network for Fact Verification

Jianming Zheng, Chonghao Chen, Honghui Chen, 2021, Mathematics.

CosG: A Graph-Based Contrastive Learning Method for Fact Verification

Jianming Zheng, Chonghao Chen, Honghui Chen, 2021, Sensors.

Generating Relevant and Informative Questions for Open-Domain Conversations

M. de Rijke, Fei Cai, Honghui Chen, 2022, ACM Trans. Inf. Syst..

Exploring Internal and External Interactions for Semi-Structured Multivariate Attributes in Job-Resume Matching

Chengyu Song, Fei Cai, Honghui Chen, 2023, International Journal of Intelligent Systems.

HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification

Wanyu Chen, Xuejun Hu, Fei Cai, 2021, Inf. Process. Manag..

A Contrastive learning-based Task Adaptation model for few-shot intent recognition

Fei Cai, Honghui Chen, Xin Zhang, 2022, Inf. Process. Manag..

A Confidence-ellipse Based Approach for Area Measurement in Localization System

Tao Chen, Honghui Chen, Wanyu Chen, 2017, Ad Hoc Sens. Wirel. Networks.

Collaborative Graph Learning for Session-based Recommendation

Fei Cai, Honghui Chen, Zhiqiang Pan, 2022, ACM Trans. Inf. Syst..

Session-based recommendation with an importance extraction module

Fei Cai, Honghui Chen, Zhiqiang Pan, 2022, Neural Computing and Applications.

Heterogeneous Graph Neural Networks to Predict What Happen Next

Honghui Chen, Fei Cai, Yanxiang Ling, 2020, COLING.

Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training

Jiping Wang, Liquan Guo, Honghui Chen, 2022, Biomedical Signal Processing and Control.

Self-supervised clarification question generation for ambiguous multi-turn conversation

Fei Cai, Honghui Chen, Taihua Shao, 2021, Inf. Sci..

A Hierarchical Neural-Network-Based Document Representation Approach for Text Classification

Honghui Chen, Chong Feng, Jianming Zheng, 2018 .

Incorporating emotion for response generation in multi-turn dialogues

Fei Cai, Honghui Chen, Yanying Mao, 2021, Applied Intelligence.

Collaborative Knowledge-Enhanced Recommendation with Self-Supervisions

Zhiqiang Pan, Honghui Chen, Honghui Chen, 2021, Mathematics.

Efficient Graph Collaborative Filtering via Contrastive Learning

Zhiqiang Pan, Honghui Chen, Honghui Chen, 2021, Sensors.

Enhancing the learning to rank using the virtual feature logistic regression with relevance feedback

Deke Guo, Zhen Shu, Fei Cai, 2012, 2012 16th International Conference on System Theory, Control and Computing (ICSTCC).

Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation

Jianming Zheng, Fei Cai, Honghui Chen, 2020, SIGIR.

LoRA-NCL: Neighborhood-Enriched Contrastive Learning with Low-Rank Dimensionality Reduction for Graph Collaborative Filtering

T. Hu, Honghui Chen, Zepeng Hao, 2023, Mathematics.

A Neighbor-Guided Memory-Based Neural Network for Session-Aware Recommendation

Honghui Chen, Ling Yanxiang, Guo Yupu, 2020, IEEE Access.

A Probabilistic Model for Information Retrieval by Mining User Behaviors

Honghui Chen, Fei Cai, Fei Cai, 2016, Cognitive Computation.

Attention-based Hierarchical Neural Query Suggestion

M. de Rijke, Maarten de Rijke, Honghui Chen, 2018, SIGIR.

Personalized query suggestion diversification in information retrieval

M. de Rijke, Maarten de Rijke, Wanyu Chen, 2019, Frontiers of Computer Science.

Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification pdf

M. de Rijke, Fei Cai, Honghui Chen, 2019, Inf. Process. Manag..

Exploiting Emotion for Diverse Response Generation in Multi-turn Dialogues

Chengyu Song, Honghui Chen, Fei Cai, 2022, 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN).