Zhanbo Feng

According to our database, Zhanbo Feng authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multi-Layer Scheduling in Gig Platforms Using a Generative Diffusion Model With Duality Guidance.

Xinyu Lu, Zhanbo Feng, Jiong Lou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li

IEEE Trans. Mob. Comput., February, 2026

2025

Robust and Communication-Efficient Federated Domain Adaptation via Random Features.

Zhanbo Feng, Yuanjie Wang, Jie Li, Fan Yang, Jiong Lou, Tiebin Mi, Robert Caiming Qiu, Zhenyu Liao

IEEE Trans. Knowl. Data Eng., March, 2025

Adaptive Discretization for Consistency Models.

Jiayu Bai, Zhanbo Feng, Zhijie Deng, TianQi Hou, Robert C. Qiu, Zenan Ling

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels.

Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Generative Diffusion Model-based Energy Management in Networked Energy Systems.

Xinyu Lu, Zhanbo Feng, Jiawei Sun, Jiong Lou, Chentao Wu, Wugedele Bao, Jie Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment.

Zhanbo Feng, Zenan Ling, Xinyu Lu, Ci Gong, Feng Zhou, Wugedele Bao, Jie Li, Fan Yang, Robert C. Qiu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Series-to-Series Diffusion Bridge Model.

Hao Yang, Zhanbo Feng, Feng Zhou, Robert C. Qiu, Zenan Ling

CoRR, 2024

IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks.

Junchao Lin, Zenan Ling, Zhanbo Feng, Feng Zhou, Jingwen Xu, Robert C. Qiu

CoRR, 2024

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures.

Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao

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

FedRF-Adapt: Robust and Communication-Efficient Federated Domain Adaptation via Random Features.

Yuanjie Wang, Zhanbo Feng, Zhenyu Liao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models.

Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu

CoRR, 2023

Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach.

Shijing Yuan, Hongze Liu, Hongtao Lv, Zhanbo Feng, Jie Li, Hongyang Chen, Chentao Wu

CoRR, 2023

2022

Aerial Target Recognition Based on Multi-entity Bayesian Network.

Jiandong Zhang, Zhanbo Feng, Guoqing Shi, Yunzhou Liu, Xuewei Li

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2019

Multi-view laplacian least squares for human emotion recognition.

Shuai Guo, Lin Feng, Zhanbo Feng, Yi-Hao Li, Yang Wang, Shenglan Liu, Hong Qiao

Neurocomputing, 2019

Color Recognition for Rubik's Cube Robot.

Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong

CoRR, 2019

Reinforcement Learning for Cooperative Overtaking.

Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots.

Chao Yu, Xin Wang, Zhanbo Feng

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019