Jinghao Zhang

According to our database, Jinghao Zhang authored at least 31 papers between 2021 and 2024.

Collaborative distances:

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

2024

Online Learning Based Shape Control for a Soft Manipulator Based on Spatial Features Feedback.

Yi Shen, Jinghao Zhang, Ye Yuan, Fumin Zhang, Han Ding

IEEE Robotics Autom. Lett., November, 2024

Learning Spatio-Temporal Sharpness Map for Video Deblurring.

Qi Zhu, Naishan Zheng, Jie Huang, Man Zhou, Jinghao Zhang, Feng Zhao

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects.

Linan Deng, Jinghao Zhang, Zuogong Yue, Zhi Li, Ye Yuan, Han Ding

IEEE Trans. Instrum. Meas., 2024

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.

Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Modality-Balanced Learning for Multimedia Recommendation.

Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2024

Prototype Clustered Diffusion Models for Versatile Inverse Problems.

Jinghao Zhang, Zizheng Yang, Qi Zhu, Feng Zhao

CoRR, 2024

CPT: Competence-progressive Training Strategy for Few-shot Node Classification.

Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu Duan, Jian Yin

CoRR, 2024

Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration.

Jinghao Zhang, Zhenhua Feng, Yaochu Jin

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading.

Xi Cheng, Jinghao Zhang, Yunan Zeng, Wenfang Xue

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Modality-Balanced Learning for Multimedia Recommendation.

Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Image-free Pre-training for Low-Level Vision.

Siyang Wang, Jinghao Zhang, Jie Huang, Feng Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization.

Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing.

Zizheng Yang, Hu Yu, Bing Li, Jinghao Zhang, Jie Huang, Feng Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

Stealthy Attack on Large Language Model based Recommendation.

Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.

Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation.

Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang

IEEE Trans. Knowl. Data Eng., September, 2023

Dynamic Characterization of Thermocouples under Double-Pulse Laser-Induced Thermal Excitation.

Hongbo Yang, Chengxu Tu, Zhouxia Jia, Qingfu Meng, Jinghao Zhang, Jiaxiang Wang, Yalei Zhao, Chenbin Zhu, Fubing Bao

Sensors, March, 2023

Decomposition Ascribed Synergistic Learning for Unified Image Restoration.

Jinghao Zhang, Jie Huang, Man Zhou, Chongyi Li, Feng Zhao

CoRR, 2023

Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation.

Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A New Island Genetic Algorithm for Path Planning Problems ^*.

Jinghao Zhang, Zhe Chen, Ning Li

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Transition-constant Normalization for Image Enhancement.

Jie Huang, Man Zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Ingredient-oriented Multi-Degradation Learning for Image Restoration.

Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery.

Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Marginal samples for knowledge distillation.

Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao

Neurocomputing, 2022

Structure- and Texture-Aware Learning for Low-Light Image Enhancement.

Jinghao Zhang, Jie Huang, Mingde Yao, Man Zhou, Feng Zhao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction.

Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong

Proceedings of the Computer Vision - ECCV 2022, 2022

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results.

Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation.

Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang

CoRR, 2021

Deep Graph Structure Learning for Robust Representations: A Survey.

Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2021

Mining Latent Structures for Multimedia Recommendation.

Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Graph-based Relevance Matching Model for Ad-hoc Retrieval.

Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021