Zhen Tan

Orcid: 0009-0006-9548-2330

According to our database1, Zhen Tan authored at least 74 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An accelerated conjugate gradient method with adaptive two-parameter with applications in image restoration.
Comput. Appl. Math., April, 2024

Pure kernel graph fusion tensor subspace clustering under non-negative matrix factorization framework.
Inf. Process. Manag., March, 2024

Just-in-time scheduling problem with affine idleness cost.
Eur. J. Oper. Res., March, 2024

Thought Graph: Generating Thought Process for Biological Reasoning.
CoRR, 2024

Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach.
CoRR, 2024

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.
CoRR, 2024

GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations.
CoRR, 2024

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative.
CoRR, 2024

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems.
CoRR, 2024

Large Language Models for Data Annotation: A Survey.
CoRR, 2024

Contextualization Distillation from Large Language Model for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study.
IEEE Trans. Knowl. Data Eng., December, 2023

Gait recognition based on 3D human body reconstruction and multi-granular feature fusion.
J. Supercomput., 2023

Projection-based coupled tensor learning for robust multi-view clustering.
Inf. Sci., 2023

Centralized collaborative production scheduling with evaluation of a practical order-merging strategy.
Int. J. Prod. Res., 2023

Node Importance Estimation with Multiview Contrastive Representation Learning.
Int. J. Intell. Syst., 2023

Interpreting Pretrained Language Models via Concept Bottlenecks.
CoRR, 2023

Disinformation Detection: An Evolving Challenge in the Age of LLMs.
CoRR, 2023

Graph Self-supervised Learning with Augmentation-aware Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023

Inductive Linear Probing for Few-Shot Node Classification.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

Contrastive Meta-Learning for Few-shot Node Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Virtual Node Tuning for Few-shot Node Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Orthogonal Low-Rank Projection Learning for Robust Image Feature Extraction.
IEEE Trans. Multim., 2022

Path planning of surgical needle: A new adaptive intelligent particle swarm optimization method.
Trans. Inst. Meas. Control, 2022

A Surrogate-Based Optimization Method with Dynamic Adaptation for High-Dimensional Mixed-Integer Problems.
Swarm Evol. Comput., 2022

Biobjective robust simulation-based optimization for unconstrained problems.
Eur. J. Oper. Res., 2022

A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning.
CoRR, 2022

Multi-head attention fusion networks for multi-modal speech emotion recognition.
Comput. Ind. Eng., 2022

Graph Few-shot Class-incremental Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Supervised Graph Contrastive Learning for Few-Shot Node Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.
Proceedings of the Learning on Graphs Conference, 2022

SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs.
World Wide Web, 2021

Caps-OWKG: a capsule network model for open-world knowledge graph.
Int. J. Mach. Learn. Cybern., 2021

Knowledge graph embedding by relational and entity rotation.
Knowl. Based Syst., 2021

Sensor Fusion Based Weighted Geometric Distance Data Association Method for 3D Multi-object Tracking.
Proceedings of the Cognitive Systems and Information Processing, 2021

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
Domain relation extraction from noisy Chinese texts.
Neurocomputing, 2020

Boosting Knowledge Base Automatically via Few-Shot Relation Classification.
Frontiers Neurorobotics, 2020

A Web News Classification Method: Fusion Noise Filtering and Convolutional Neural Network.
Proceedings of the SSPS 2020: 2020 2nd Symposium on Signal Processing Systems, 2020

Degree-Aware Alignment for Entities in Tail.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CLEEK: A Chinese Long-text Corpus for Entity Linking.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Joint Event Extraction with Hierarchical Policy Network.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Paperant: Key Elements Generation with New Ideas.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Entity Linking via Symmetrical Attention-Based Neural Network and Entity Structural Features.
Symmetry, 2019

Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions.
Simul., 2019

Iterative Entity Alignment with Improved Neural Attribute Embedding.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019) Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), 2019

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Optimizing Vents Layout and Configuration of Complex Urban Tunnels for Air Quality Control.
IEEE Trans. Control. Syst. Technol., 2018

Neural Relation Classification Using Selective Attention and Symmetrical Directional Instances.
Symmetry, 2018

Network Embedding via a Bi-Mode and Deep Neural Network Model.
Symmetry, 2018

Knowledge Graph Representation via Similarity-Based Embedding.
Sci. Program., 2018

GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces.
IEEE Access, 2018

Title-Based Extraction of News Contents for Text Mining.
IEEE Access, 2018

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding.
IEEE Access, 2018

TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism.
IEEE Access, 2018

Detecting Wireless Spy Cameras Via Stimulating and Probing.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Bayesian Inference for Static Traffic Network Flows with Mobile Sensor Data.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Ventilation Control in Bifurcate Tunnels with Distributed Vents.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Bayesian ranking and selection model for the Second-best Network Pricing Problem.
Proceedings of the Winter Simulation Conference, 2016

Knowledge Representation Learning via Dynamic Relation Spaces.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Extract qualified heart sound in varying environment using parallel-training lms algorithm.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014
Wireless Monitoring System Based on the Non-uniform Stratified WSN in Viticulture.
J. Networks, 2014

Improvement of Semi-Random Measurement Matrix for Compressed Sensing.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

Probability increment based swarm optimization for combinatorial optimization with application to printed circuit board assembly.
Artif. Intell. Eng. Des. Anal. Manuf., 2014

The Impact of Climate Change on the Potential Suitable Distribution of Major Crops in Zambia and the Countermeasures.
Proceedings of the Computer and Computing Technologies in Agriculture VIII, 2014

2011
SAR imaging based on Compressed Sensing.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011


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