Jingzheng Li

Orcid: 0000-0002-4232-8798

According to our database1, Jingzheng Li authored at least 21 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model.
CoRR, February, 2026

A reliable model based load shifting incorporating users' uncertain behavior to price fluctuations in demand response mechanisms.
Reliab. Eng. Syst. Saf., 2026

TSBA: A two-stage poison-only backdoor attack on visual object tracking.
Pattern Recognit., 2026

Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract).
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process.
CoRR, December, 2025

Toward Open-World Domain Adaptation via Iteratively Contrastive Learning and Clustering.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects.
CoRR, October, 2025

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving.
CoRR, May, 2025

Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios.
CoRR, March, 2025

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.
CoRR, February, 2025

Short-term load forecasting in smart grids: A CGAN-self data reconstruction and BiTCN-BiGRU-self attention model with demand response optimization.
Expert Syst. Appl., 2025

2024
Target Structure Learning Framework for Unsupervised Multi-Class Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl., November, 2024

RA<sup>3</sup>: A Human-in-the-loop Framework for Interpreting and Improving Image Captioning with Relation-Aware Attribution Analysis.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation.
Mach. Learn., September, 2023

Beyond confusion matrix: learning from multiple annotators with awareness of instance features.
Mach. Learn., March, 2023

LiFT: Transfer Learning in Vision-Language Models for Downstream Adaptation and Generalization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Learning from Multiple Annotators by Incorporating Instance Features.
CoRR, 2021

2019
Neighborhood attribute reduction: a multi-criterion approach.
Int. J. Mach. Learn. Cybern., 2019

2018
Center Problem for Quasi-Homogeneous Polynomial Systems with a Given Weight Degree.
Int. J. Bifurc. Chaos, 2018

2016
Real-Time State Analysis of Digitron and Press Plate in Transformer Substations.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016


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