Chenwei Zhang

Orcid: 0000-0002-0488-4603

According to our database1, Chenwei Zhang authored at least 105 papers between 2013 and 2024.

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Bibliography

2024
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions.
IEEE Trans. Knowl. Data Eng., May, 2024

The impact of heterogeneous shared leadership in scientific teams.
Inf. Process. Manag., January, 2024

Diffusion models in text generation: a survey.
PeerJ Comput. Sci., 2024

Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models.
CoRR, 2024

Enhanced User Interaction in Operating Systems through Machine Learning Language Models.
CoRR, 2024

Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models.
CoRR, 2024

2023
KDRank: Knowledge-driven user-aware POI recommendation.
Knowl. Based Syst., October, 2023

Multimodal sentiment analysis based on fusion methods: A survey.
Inf. Fusion, July, 2023

ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings.
CoRR, 2023

Visualizing DNA reaction trajectories with deep graph embedding approaches.
CoRR, 2023

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.
CoRR, 2023

Are research contributions assigned differently under the two contributorship classification systems in PLoS ONE?
CoRR, 2023

The Impact of Heterogeneous Shared Leadership in Scientific Teams.
CoRR, 2023

Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

RemoteGesture: Room-scale Acoustic Gesture Recognition for Multiple Users.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gesture-Bot: Design and Evaluation of Simple Gestures of a Do-it-yourself Telepresence Robot for Remote Communication.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Knowledge-Selective Pretraining for Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Hybridization Kinetics with Improved Elementary Step Simulation.
Proceedings of the 29th International Conference on DNA Computing and Molecular Programming, 2023

Annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Enhancing Cross-lingual Transfer via Phonemic Transcription Integration.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Multi-Feature Representation Based COVID-19 Risk Stage Evaluation With Transfer Learning.
IEEE Trans. Netw. Sci. Eng., 2022

KGGen: A Generative Approach for Incipient Knowledge Graph Population.
IEEE Trans. Knowl. Data Eng., 2022

Reply to issues about entitymetrics and paper-entity citation network.
Scientometrics, 2022

Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification.
Knowl. Based Syst., 2022

Beyond correlation: Towards matching strategy for causal inference in Information Science.
J. Inf. Sci., 2022

Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power.
J. Assoc. Inf. Sci. Technol., 2022

Contributorship in scientific collaborations: The perspective of contribution-based byline orders.
Inf. Process. Manag., 2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction.
CoRR, 2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Analyzing knowledge entities about COVID-19 using entitymetrics.
Scientometrics, 2021

Team Power and Hierarchy: Understanding Team Success.
CoRR, 2021

Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems.
IEEE Access, 2021

Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

All You Need to Know to Build a Product Knowledge Graph.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semi-supervised Relation Extraction via Incremental Meta Self-Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Generative temporal link prediction via self-tokenized sequence modeling.
World Wide Web, 2020

Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data, 2020

Co-contributorship network and division of labor in individual scientific collaborations.
J. Assoc. Inf. Sci. Technol., 2020

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection.
CoRR, 2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering.
CoRR, 2020

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection.
CoRR, 2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.
CoRR, 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Entity Synonym Discovery via Multipiece Bilateral Context Matching.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Semantic Matching and Aggregation Network for Few-shot Intent Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Low-shot Learning in Natural Language Processing.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Med2Meta: Learning Representations of Medical Concepts with Meta-embeddings.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings.
CoRR, 2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction.
CoRR, 2019

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare.
CoRR, 2019

Structured Knowledge Discovery from Massive Text Corpus.
CoRR, 2019

Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries.
CoRR, 2019

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms.
CoRR, 2019

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.
Proceedings of the World Wide Web Conference, 2019

AppNet: understanding app recommendation in Google Play.
Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, 2019

Investigating scientific collaboration through the sequence of authors in the publication bylines and the diversity of collaborators.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

An Analysis on Charitable Crowdfunding in an Authoritarian Regime.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

Joint Slot Filling and Intent Detection via Capsule Neural Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-grained Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Understanding scientific collaboration: Homophily, transitivity, and preferential attachment.
J. Assoc. Inf. Sci. Technol., 2018

Finding Similar Medical Questions from Question Answering Websites.
CoRR, 2018

Multi-Task Pharmacovigilance Mining from Social Media Posts.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On the Generative Discovery of Structured Medical Knowledge.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Co-Investment Network Learning for Financial Assets.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Zero-shot User Intent Detection via Capsule Neural Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Market Abnormality Period Detection via Co-movement Attention Model.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Drugs and bitcoins: What role do bitcoins play in the darknet market? A preliminary study.
Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

2017
Fault tree analysis based on TOPSIS and triangular fuzzy number.
Int. J. Syst. Assur. Eng. Manag., 2017

Standing on the shoulders of giants.
J. Informetrics, 2017

Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications.
J. Data Inf. Sci., 2017

CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks.
IEEE Access, 2017

Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Broad Learning based Multi-Source Collaborative Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Bringing semantic structures to user intent detection in online medical queries.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Does collaboration bring high-impact studies? A preliminary study.
Proceedings of the Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds, 2017

Deep Domain Adaptation with a Few Samples for Face Identification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
An Evidential Spam-Filtering Framework.
Cybern. Syst., 2016

Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Research on the strategy of "Go-global" for hydropower engineering construction enterprises.
Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016

Multi-source Hierarchical Prediction Consolidation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A lead-lag analysis of the topic evolution patterns for preprints and publications.
J. Assoc. Inf. Sci. Technol., 2015

2014
A new method to determine basic probability assignment using core samples.
Knowl. Based Syst., 2014

Query-based composition for large-scale language model in LVCSR.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Study of waveform generation in simulation torque-loading system based on LabVIEW.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013


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