Jiaxing Zhang
Orcid: 0009-0007-8031-661X
According to our database1,
Jiaxing Zhang
authored at least 77 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Connect. Sci., December, 2024
An Efficient Segmentation Model With Multipath Attention Mechanism Enabling Particle Size Characterization of Coal Dust.
IEEE Trans. Ind. Informatics, April, 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation.
CoRR, 2024
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support.
CoRR, 2024
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024
Accurate Bandwidth Prediction for Real-Time Media Streaming with Offline Reinforcement Learning.
Proceedings of the 15th ACM Multimedia Systems Conference, 2024
2023
Lung lobe segmentation in computed tomography images based on multi-feature fusion and ensemble learning framework.
Int. J. Imaging Syst. Technol., November, 2023
Jeffreys Divergence and Generalized Fisher Information Measures on Fokker-Planck Space-Time Random Field.
Entropy, October, 2023
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects.
CoRR, 2023
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design.
CoRR, 2023
Never Lost in the Middle: Improving Large Language Models via Attention Strengthening Question Answering.
CoRR, 2023
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences.
CoRR, 2023
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning.
CoRR, 2023
CoRR, 2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective.
CoRR, 2023
CoRR, 2023
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple-Choice Perspective.
IEEE Access, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Optimizing Moving Object Trajectories from Roadside Lidar Data by Joint Detection and Tracking.
Remote. Sens., 2022
Potential of Ground-Based Multiwavelength Differential Absorption LiDAR to Measure δ¹³C in Open Detected Path.
IEEE Geosci. Remote. Sens. Lett., 2022
J. Web Eng., 2022
CoRR, 2022
IEEE Consumer Electron. Mag., 2022
Multimodal and multi-objective optimization algorithm based on two-stage search framework.
Appl. Intell., 2022
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
2021
Machine Learning Modeling: A New Way to do Quantitative Research in Social Sciences in the Era of AI.
J. Web Eng., 2021
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy.
CoRR, 2020
IEEE Access, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
NFVdeep: adaptive online service function chain deployment with deep reinforcement learning.
Proceedings of the International Symposium on Quality of Service, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019
2018
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018
2017
Changes in brain iron concentration after exposure to high-altitude hypoxia measured by quantitative susceptibility mapping.
NeuroImage, 2017
An On-Road Vehicle Detection Method for High-Resolution Aerial Images Based on Local and Global Structure Learning.
IEEE Geosci. Remote. Sens. Lett., 2017
2016
A vehicle detection method taking shadow areas into account for high resolution aerial imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
IEEE Trans. Parallel Distributed Syst., 2015
Towards closing the specification gap by integrating algorithm-level and system-level design.
Des. Autom. Embed. Syst., 2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
The application of two-level attention models in deep convolutional neural network for fine-grained image classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015
2014
Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages & Applications, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Nondeterminism in MapReduce considered harmful? an empirical study on non-commutative aggregators in MapReduce programs.
Proceedings of the 36th International Conference on Software Engineering, 2014
Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems, 2014
Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing, 2014
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014
Proceedings of the ACM Symposium on Cloud Computing, 2014
2013
Proceedings of the Embedded Systems: Design, Analysis and Verification, 2013
2012
Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions.
Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012