Sen Zhang

According to our database, Sen Zhang authored at least 28 papers between 2019 and 2025.

Collaborative distances:

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

2025

Image Captions are Natural Prompts for Training Data Synthesis.

Shiye Lei, Hao Chen, Sen Zhang, Bo Zhao, Dacheng Tao

Int. J. Comput. Vis., August, 2025

One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning.

Han Wu, Junyao Li, Kangbo Zhao, Sen Zhang, Yukai Shi, Liang Lin

CoRR, June, 2025

Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning.

Jiahua Lan, Sen Zhang, Haixia Pan, Ruijun Liu, Li Shen, Dacheng Tao

CoRR, April, 2025

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking.

Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao

CoRR, January, 2025

Are Large Language Models Really Robust to Word-Level Perturbations?

Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

Trans. Mach. Learn. Res., 2025

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models.

Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FreDF: Learning to Forecast in the Frequency Domain.

Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning.

Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao

CoRR, 2024

Mitigating Reward Hacking via Information-Theoretic Reward Modeling.

Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.

Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao

CoRR, 2024

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling.

Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Offline Behavior Distillation.

Shiye Lei, Sen Zhang, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MCHM '24: The 1st International Workshop on Multimedia Computing for Health and Medicine.

Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang

Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.

Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao

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

Towards Theoretical Understandings of Self-Consuming Generative Models.

Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao

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

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.

Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Image Captions are Natural Prompts for Text-to-Image Models.

Shiye Lei, Hao Chen, Sen Zhang, Bo Zhao, Dacheng Tao

CoRR, 2023

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation.

Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi

CoRR, 2023

Event-based Simultaneous Localization and Mapping: A Comprehensive Survey.

Kunping Huang, Sen Zhang, Jing Zhang, Dacheng Tao

CoRR, 2023

Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms.

Penghui Wen, Kun Hu, Wenxi Yue, Sen Zhang, Wanlei Zhou, Zhiyong Wang

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Criteria Comparative Learning for Real-Scene Image Super-Resolution.

Yukai Shi, Hao Li, Sen Zhang, Zhijing Yang, Xiao Wang

IEEE Trans. Circuits Syst. Video Technol., 2022

Information-Theoretic Odometry Learning.

Sen Zhang, Jing Zhang, Dacheng Tao

Int. J. Comput. Vis., 2022

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation.

Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi

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

Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World.

Sen Zhang, Jing Zhang, Dacheng Tao

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes.

Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics.

Sen Zhang, Jing Zhang, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer.

Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin

ACM Trans. Intell. Syst. Technol., 2021

2019

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.

Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019