Hongjue Zhao

According to our database, Hongjue Zhao authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals.

Tomoyoshi Kimura, Denizhan Kara, Jinyang Li, Hongjue Zhao, Yigong Hu, Yizhuo Chen, Xiaomin Ouyang, Shengzhong Liu, Tarek F. Abdelzaher

CoRR, May, 2026

Understanding the Theoretical Foundations of Deep Neural Networks through Differential Equations.

Hongjue Zhao, Yizhuo Chen, Yuchen Wang, Hairong Qi, Lui Sha, Tarek F. Abdelzaher, Huajie Shao

CoRR, March, 2026

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems.

Yuchen Wang, Jiangtao Kong, Sizhe Wei, Xiaochang Li, Haohong Lin, Hongjue Zhao, Tianyi Zhou, Lu Gan, Huajie Shao

CoRR, March, 2026

ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment.

Hongjue Zhao, Haosen Sun, Jiangtao Kong, Xiaochang Li, Qineng Wang, Liwei Jiang, Qi Zhu, Tarek F. Abdelzaher, Yejin Choi, Manling Li, Huajie Shao

CoRR, February, 2026

2025

SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems.

Yizhuo Chen, Tianchen Wang, You Lyu, Yanlan Hu, Jinyang Li, Tomoyoshi Kimura, Hongjue Zhao, Yigong Hu, Denizhan Kara, Tarek F. Abdelzaher

CoRR, May, 2025

AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts.

Denizhan Kara, Tomoyoshi Kimura, Jinyang Li, Bowen He, Yizhuo Chen, Yigong Hu, Hongjue Zhao, Shengzhong Liu, Tarek F. Abdelzaher

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

On Network-Efficient Multimodal Multi-Vantage Foundation Models for Distributed Sensing.

Tianchen Wang, Yizhuo Chen, Hongjue Zhao, You Lyu, Jinyang Li, Tomoyoshi Kimura, Yigong Hu, Denizhan Kara, Maggie B. Wigness, Jeffrey Twigg, Tarek F. Abdelzaher

Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025

A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments.

Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, Huajie Shao

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

Accelerating Neural ODEs: A Variational Formulation-based Approach.

Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao, Lui Sha, Huajie Shao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Perturbation-Based Graph Active Learning for Semi-Supervised Belief Representation Learning.

Dachun Sun, Jinning Li, Xinyi Liu, You Lyu, Hongjue Zhao, Denizhan Kara, Tarek F. Abdelzaher

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

DiffPhys: Differential Physics Augmentations for Enhanced Representations.

Denizhan Kara, Tomoyoshi Kimura, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Hongjue Zhao, Joydeep Bhattacharyya, Tarek F. Abdelzaher

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

Agentic LLM-Assisted Edge AI for CPS/IoT Applications.

Jinyang Li, Herman Wu, Hongjue Zhao, Tomoyoshi Kimura, Denizhan Kara, Tianshi Wang, Yizhuo Chen, Tianchen Wang, Yigong Hu, Ashitabh Misra, Tarek F. Abdelzaher

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024

CAT: Interpretable Concept-based Taylor Additive Models.

Viet Duong, Qiong Wu, Zhengyi Zhou, Hongjue Zhao, Chenxiang Luo, Eric Zavesky, Huaxiu Yao, Huajie Shao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Neural Symbolic Regression using Control Variables.

Xieting Chu, Hongjue Zhao, Enze Xu, Hairong Qi, Minghan Chen, Huajie Shao

CoRR, 2023