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ORCIDJinghao Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j6]Yi Shen, Jinghao Zhang, Ye Yuan, Fumin Zhang, Han Ding:
Online Learning Based Shape Control for a Soft Manipulator Based on Spatial Features Feedback. IEEE Robotics Autom. Lett. 9(11): 10081-10088 (2024)- [j5]Qi Zhu
, Naishan Zheng, Jie Huang, Man Zhou, Jinghao Zhang, Feng Zhao:
Learning Spatio-Temporal Sharpness Map for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3957-3970 (2024) - [j4]Linan Deng, Jinghao Zhang, Zuogong Yue, Zhi Li, Ye Yuan, Han Ding:
Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c18]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. ACL (1) 2024: 5839-5857 - [c17]Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan:
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. ACL (Findings) 2024: 6944-6962 - [c16]Zizheng Yang, Hu Yu, Bing Li, Jinghao Zhang, Jie Huang, Feng Zhao:
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing. ECCV (44) 2024: 371-389 - [c15]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP 2024: 4740-4744 - [c14]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. ACM Multimedia 2024: 7551-7560 - [c13]Siyang Wang, Jinghao Zhang, Jie Huang, Feng Zhao:
Image-free Pre-training for Low-Level Vision. ACM Multimedia 2024: 8825-8834 - [c12]Xi Cheng, Jinghao Zhang, Yunan Zeng, Wenfang Xue:
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading. PKDD (4) 2024: 30-42 - [c11]Jinghao Zhang, Zhenhua Feng, Yaochu Jin:
Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration. VISIGRAPP (2): VISAPP 2024: 213-220 - [i14]Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu Duan, Jian Yin:
CPT: Competence-progressive Training Strategy for Few-shot Node Classification. CoRR abs/2402.00450 (2024) - [i13]Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan:
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. CoRR abs/2402.11622 (2024) - [i12]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. CoRR abs/2402.14836 (2024) - [i11]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization. CoRR abs/2406.04756 (2024) - [i10]Xi Cheng, Jinghao Zhang, Yunan Zeng, Wenfang Xue:
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading. CoRR abs/2407.01577 (2024) - [i9]Jinghao Zhang, Zizheng Yang, Qi Zhu, Feng Zhao:
Prototype Clustered Diffusion Models for Versatile Inverse Problems. CoRR abs/2407.09768 (2024) - [i8]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. CoRR abs/2408.06360 (2024) - [i7]Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. CoRR abs/2408.10645 (2024) - 2023
- [j3]Hongbo Yang, Chengxu Tu, Zhouxia Jia, Qingfu Meng, Jinghao Zhang, Jiaxiang Wang, Yalei Zhao, Chenbin Zhu, Fubing Bao:
Dynamic Characterization of Thermocouples under Double-Pulse Laser-Induced Thermal Excitation. Sensors 23(5): 2367 (2023) - [j2]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9154-9167 (2023) - [c10]Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao:
Ingredient-oriented Multi-Degradation Learning for Image Restoration. CVPR 2023: 5825-5835 - [c9]Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao:
Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery. CVPR 2023: 14059-14070 - [c8]Jie Huang, Man Zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao:
Transition-constant Normalization for Image Enhancement. NeurIPS 2023 - [c7]Jinghao Zhang, Zhe Chen, Ning Li:
A New Island Genetic Algorithm for Path Planning Problems *. RCAR 2023: 390-395 - [c6]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR 2023: 443-452 - [i6]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. CoRR abs/2306.14179 (2023) - [i5]Jinghao Zhang, Jie Huang, Man Zhou, Chongyi Li, Feng Zhao:
Decomposition Ascribed Synergistic Learning for Unified Image Restoration. CoRR abs/2308.00759 (2023) - 2022
- [j1]Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao:
Marginal samples for knowledge distillation. Neurocomputing 507: 157-165 (2022) - [c5]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:
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77 - [c4]Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong:
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. ECCV (19) 2022: 163-180 - [c3]Jinghao Zhang, Jie Huang, Mingde Yao, Man Zhou, Feng Zhao:
Structure- and Texture-Aware Learning for Low-Light Image Enhancement. ACM Multimedia 2022: 6483-6492 - 2021
- [c2]Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. AAAI 2021: 4688-4696 - [c1]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia 2021: 3872-3880 - [i4]Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. CoRR abs/2101.11873 (2021) - [i3]Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Structure Learning for Robust Representations: A Survey. CoRR abs/2103.03036 (2021) - [i2]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. CoRR abs/2104.09036 (2021) - [i1]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR abs/2111.00678 (2021)
Coauthor Index
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