Jinxin Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Jinxin Liu 001 (University of Ottawa, School of Electrical Engineering and Computer Science, Ottawa, ON, Canada)

Bibliography

2025

Dynamic multi teacher knowledge distillation for semantic parsing in KBQA.

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[DOI]

Expert Syst. Appl., 2025

2024

A Distributed Optimization Approach for Collaborative Object Lifting Using Multiple Aerial Robots.

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[DOI]

Unmanned Syst., March, 2024

Social Ties and New Venture Performance: The Moderated Mediating Effects of Entrepreneurial Motivations.

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[DOI]

Jinxin Liu

Xiangyu Yang

Shibin Sheng

IEEE Trans. Engineering Management, 2024

GSC: A graph-based skill composition framework for robot learning.

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[DOI]

Robotics Auton. Syst., 2024

Deep Learning-Assisted Jamming Mitigation with Movable Antenna Array.

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CoRR, 2024

Towards Evaluating and Building Versatile Large Language Models for Medicine.

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CoRR, 2024

Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions.

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[DOI]

Jinxin Liu

Zao Yang

CoRR, 2024

Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs.

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[DOI]

CoRR, 2024

Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments.

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CoRR, 2024

Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS.

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CoRR, 2024

Context-Former: Stitching via Latent Conditioned Sequence Modeling.

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[DOI]

CoRR, 2024

Probing Structured Semantics Understanding and Generation of Language Models via Question Answering.

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[DOI]

CoRR, 2024

Identification, isoform classification, ligand binding, and database construction of the protein-tyrosine sulfotransferase family in metazoans.

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[DOI]

Comput. Biol. Medicine, 2024

Off-Dynamics Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Yachen Kang

Jinxin Liu

Donglin Wang

IEEE Access, 2024

Reinformer: Max-Return Sequence Modeling for Offline RL.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering.

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[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Research on the Application of Artificial Intelligence Technologies for Integrated Marketing Collaboration in Infrastructure Enterprises.

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[DOI]

Zhen Wang

Jinxin Liu

Proceedings of the 2024 8th International Conference on Big Data and Internet of Things, 2024

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning.

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[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade.

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[DOI]

IEEE Trans. Ind. Informatics, August, 2023

Relative Localization Estimation for Multiple Robots via the Rotating Ultra-Wideband Tag.

[BibT_eX]

[DOI]

Jinxin Liu

Guoqiang Hu

IEEE Robotics Autom. Lett., July, 2023

SIGA: social influence modeling integrating graph autoencoder for rating prediction.

[BibT_eX]

[DOI]

Appl. Intell., March, 2023

Defect-aware transformer network for intelligent visual surface defect detection.

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[DOI]

Adv. Eng. Informatics, January, 2023

Adaptive Proximal Policy Optimization with Upper Confidence Bound.

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[DOI]

CoRR, 2023

SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning.

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[DOI]

CoRR, 2023

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization.

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[DOI]

CoRR, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

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[DOI]

CoRR, 2023

Offline Imitation Learning with Variational Counterfactual Reasoning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CEIL: Generalized Contextual Imitation Learning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Beyond Reward: Offline Preference-guided Policy Optimization.

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Proceedings of the International Conference on Machine Learning, 2023

Behavior Proximal Policy Optimization.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

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[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning.

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[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

End-to-End Self-Driving Approach Independent of Irrelevant Roadside Objects With Auto-Encoder.

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[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

An End-to-End Multi-Task Learning Model for Drivable Road Detection via Edge Refinement and Geometric Deformation.

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[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Real-Time Monocular Joint Perception Network for Autonomous Driving.

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[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison.

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[DOI]

Nucleic Acids Res., 2022

Binarized network embedding with community structural information.

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[DOI]

Inf. Sci., 2022

Active Vibration Control Technology in China.

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[DOI]

IEEE Instrum. Meas. Mag., 2022

ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Jinxin Liu

Hongyin Zhang

Donglin Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Hybrid Variational Autoencoder for Collaborative Filtering.

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[DOI]

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning.

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[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty.

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[DOI]

Ind. Robot, 2021

Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain.

[BibT_eX]

[DOI]

CoRR, 2021

RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

Prediction and collection of protein-metabolite interactions.

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[DOI]

Briefings Bioinform., 2021

Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Objective End-to-End Self-Driving Based on Pareto-Optimal Actor-Critic Approach.

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[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning.

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Proceedings of the International Joint Conference on Neural Networks, 2021

Switch Open and Short Circuit Fault diagnosis and Fault Tolerant Operation for Push-Pull Converter.

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Proceedings of the IECON 2021, 2021

A Continuum Robot with Twin-Pivot Structure: The Kinematics and Shape Estimation.

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[DOI]

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

LCW: A Lightweight Recommendation Framework for Non-profit Crowdfunding Projects.

[BibT_eX]

[DOI]

Jinxin Liu

Yingyuan Xiao

Wenguang Zheng

Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021

2020

Strategic orientations and participation intentions for technical standardisation.

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[DOI]

Yong Zhang

Jinxin Liu

Shibin Sheng

Technol. Anal. Strateg. Manag., 2020

Frequency domain spline adaptive filters.

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[DOI]

Signal Process., 2020

Dynamic Adaptive Cross-Chain Trading Mode for Multi-Microgrid Joint Operation.

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[DOI]

Sensors, 2020

A Dual-Channel convolution neural network for image smoke detection.

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[DOI]

Multim. Tools Appl., 2020

Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory.

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[DOI]

Complex., 2020

A probabilistic risk assessment framework considering lane-changing behavior interaction.

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[DOI]

Sci. China Inf. Sci., 2020

Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Multivariate Time Series Prediction with PID-based Residual Compensation.

[BibT_eX]

[DOI]

Jinxin Liu

Qiangxing Tian

Donglin Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Independent Skill Transfer for Deep Reinforcement Learning.

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[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Spline adaptive filter with arctangent-momentum strategy for nonlinear system identification.

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[DOI]

Signal Process., 2019

An Integrated Approach to Probabilistic Vehicle Trajectory Prediction via Driver Characteristic and Intention Estimation.

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[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Short-Circuit Current Protection for AC Solid State Power Controller Using the Current Derivative.

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[DOI]

Proceedings of the IECON 2019, 2019

Time Series Prediction with Interpretable Data Reconstruction.

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[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2016

Adaptive Compensation of Misequalization in Narrowband Active Noise Equalizer Systems.

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[DOI]

Jinxin Liu

Xuefeng Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2016

基于热例程的动态二进制翻译优化 (Hot-routine Based Optimization of Dynamic Binary Translation).

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[DOI]

计算机科学, 2016

2015

Precision Motion Control Method Based on Artificial Bee Colony Algorithm.

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[DOI]

Proceedings of the Harmony Search Algorithm, 2015

2013

Optimal Design of Enterprise Human Resource Training Program.

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[DOI]

Lihong He

Jinxin Liu

Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013

2004

A Multiple RBF NN Modeling Approach to BOF Endpoint Estimation in Steelmaking Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2004

Jinxin Liu

Known people with the same name:

Bibliography

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