Ji Zhang

Orcid: 0000-0001-6949-3673

Affiliations:
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China


According to our database1, Ji Zhang authored at least 36 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Closer Look at Conditional Prompt Tuning for Vision-Language Models.
Int. J. Comput. Vis., May, 2026

Structure-aware Prompt Adaptation from Seen to Unseen for Open-Vocabulary Compositional Zero-Shot Learning.
CoRR, March, 2026

TIMI: Training-Free Image-to-3D Multi-Instance Generation with Spatial Fidelity.
CoRR, March, 2026

Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols.
CoRR, March, 2026

Beyond the Majority: Long-tail Imitation Learning for Robotic Manipulation.
CoRR, February, 2026

Sim-and-Human Co-training for Data-Efficient and Generalizable Robotic Manipulation.
CoRR, January, 2026

ERIS : An energy-guided feature disentanglement framework for out-of-distribution time series classification.
Inf. Fusion, 2026

Out-of-Distribution Generalization in Time Series: A Survey.
Inf. Fusion, 2026

Securing digital assets in intelligent railways: A survey of watermarking techniques, challenges, and prospects.
Inf. Fusion, 2026

2025
Modeling Temporal Dependencies Within the Target for Long-Term Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., December, 2025

Reversible Inversion for Training-Free Exemplar-guided Image Editing.
CoRR, December, 2025

RoboCOIN: An Open-Sourced Bimanual Robotic Data COllection for INtegrated Manipulation.
CoRR, November, 2025

Reliable Few-Shot Learning Under Dual Noises.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

A Survey on Efficient Vision-Language-Action Models.
CoRR, October, 2025

Dual-branch Prompting for Multimodal Machine Translation.
CoRR, July, 2025

Exploring Partial Multi-Label Learning via Integrating Semantic Co-occurrence Knowledge.
CoRR, July, 2025

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values.
CoRR, June, 2025

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning.
CoRR, May, 2025

Policy Contrastive Decoding for Robotic Foundation Models.
CoRR, May, 2025

Eval-PPO: Building an Efficient Threat Evaluator Using Proximal Policy Optimization.
Proceedings of the 2025 International Conference on Embodied Intelligence and Large Models, 2025

Object Goal Navigation based on 3D Semantic Gaussian.
Proceedings of the 2025 International Conference on Embodied Intelligence and Large Models, 2025

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Effective and Efficient Few-shot Fine-tuning for Vision Transformers.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DePT: Decoupled Prompt Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
From Global to Local: Multi-Scale Out-of-Distribution Detection.
IEEE Trans. Image Process., 2023

A Closer Look at Few-shot Classification Again.
Proceedings of the International Conference on Machine Learning, 2023

DETA: Denoised Task Adaptation for Few-Shot Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Progressive Meta-Learning With Curriculum.
IEEE Trans. Circuits Syst. Video Technol., 2022

Free-Lunch for Cross-Domain Few-Shot Learning: Style-Aware Episodic Training with Robust Contrastive Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Class Gradient Projection For Continual Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Co-Adjustment Learning for Co-Clustering.
Cogn. Comput., 2021

Curriculum-Based Meta-learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019
Particle Subswarms Collaborative Clustering.
IEEE Trans. Comput. Soc. Syst., 2019

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.
Knowl. Based Syst., 2019

A factor graph model for unsupervised feature selection.
Inf. Sci., 2019

2018
Softmax Regression by Using Unsupervised Ensemble Learning.
Proceedings of the 9th International Symposium on Parallel Architectures, 2018


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