Yulong Zhang

According to our database, Yulong Zhang authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Slack More, Predict Better: Proximal Relaxation for Probabilistic Latent Variable Model-based Soft Sensors.

Zehua Zou, Yiran Ma, Yulong Zhang, Zhengnan Li, Zeyu Yang, Jinhao Xie, Xiaoyu Jiang, Zhichao Chen

CoRR, March, 2026

Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework.

Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song

IEEE Trans. Knowl. Data Eng., January, 2026

2025

Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction.

Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, Yu Zhang, James T. Kwok

CoRR, May, 2025

Domain-guided conditional diffusion model for unsupervised domain adaptation.

Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok

Neural Networks, 2025

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation.

Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction.

Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James T. Kwok, Yu Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Large Language Models as Visual Cross-Domain Learners.

Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu Zhang

CoRR, 2024

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models.

Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective.

Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu

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

2023

A novel class-level weighted partial domain adaptation network for defect detection.

Yulong Zhang, Yilin Wang, Zhiqiang Jiang, Li Zheng, Jinshui Chen, Jiangang Lu

Appl. Intell., October, 2023

Domain adaptation via Transferable Swin Transformer for tire defect detection.

Yulong Zhang, Yilin Wang, Zhiqiang Jiang, Li Zheng, Jinshui Chen, Jiangang Lu

Eng. Appl. Artif. Intell., 2023

Diffusion-based Target Sampler for Unsupervised Domain Adaptation.

Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu

CoRR, 2023

2022

Diversifying Tire-Defect Image Generation Based on Generative Adversarial Network.

Yulong Zhang, Yilin Wang, Zhiqiang Jiang, Fagen Liao, Li Zheng, Dongzeng Tan, Jinshui Chen, Jiangang Lu

IEEE Trans. Instrum. Meas., 2022

Robust Learning Against Label Noise Based on Activation Trend Tracking.

Yilin Wang, Yulong Zhang, Zhiqiang Jiang, Li Zheng, Jinshui Chen, Jiangang Lu

IEEE Trans. Instrum. Meas., 2022

2021

Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images.

Yilin Wang, Yulong Zhang, Li Zheng, Liedong Yin, Jinshui Chen, Jiangang Lu

Sensors, 2021