Junzhe Wang

Orcid: 0000-0002-7905-6511

According to our database1, Junzhe Wang authored at least 22 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training.
CoRR, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
CoRR, 2024

2023
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses.
IEEE Trans. Biomed. Circuits Syst., June, 2023

WiMeasure: Millimeter-level Object Size Measurement with Commodity WiFi Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

Can a Deep Learning Model for One Architecture Be Used for Others? Retargeted-Architecture Binary Code Analysis.
Proceedings of the 32nd USENIX Security Symposium, 2023

An Event-driven Neural Signal Processor for Closed-loop Seizure Prediction.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Privacy Leakage Analysis for Colluding Smart Apps.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Real-time Biosignal Recording and Machine-Learning Analysis System.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Pavement Crack Detection Using Multi-stage Structural Feature Extraction Model.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Westworld: Fuzzing-Assisted Remote Dynamic Symbolic Execution of Smart Apps on IoT Cloud Platforms.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
An Automatic Analog Instrument Reading System Using Computer Vision and Inspection Robot.
IEEE Trans. Instrum. Meas., 2020

Bi-objective Optimization of Emergency Dispatching and Routing for Multi-mode Network Using Ant Colony Algorithm.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

2019
Design, modelling and identification of a fiber-reinforced bending pneumatic muscle.
Sci. China Inf. Sci., 2019

2018
Dynamic Modelling and Identification of a Soft Bending Pneumatic Actuator Based on Visual Recognition.
Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018


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