Juntong Ni

According to our database, Juntong Ni authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation.

Juntong Ni, Saurabh Kataria, Shengpu Tang, Carl Yang, Xiao Hu, Wei Jin

CoRR, September, 2025

A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+).

Minxiao Wang, Saurabh Kataria, Juntong Ni, Timothy G. Buchman, Jocelyn Grunwell, Mark Mai, Wei Jin, Matthew Clark, Stephanie R. Brown, Michael Fundora, Puneet Sharma, Tony Pan, Sam Khan, Timothy Ruchti, Naveen Muthu, Kevin Maher, Sivasubramanium V. Bhavani, Xiao Hu

CoRR, September, 2025

Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?

Zewen Liu, Juntong Ni, Xianfeng Tang, Max S. Y. Lau, Wenpeng Yin, Wei Jin

CoRR, August, 2025

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting.

Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin

CoRR, July, 2025

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness.

Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash

CoRR, June, 2025

Scalable Graph Condensation with Evolving Capabilities.

Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin

CoRR, February, 2025

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation.

Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin

CoRR, February, 2025

CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting.

Zewen Liu, Juntong Ni, Max S. Y. Lau, Wei Jin

CoRR, February, 2025

2024

Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation.

Teng Sun, Yinwei Wei, Juntong Ni, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie

IEEE Trans. Multim., 2024

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights.

Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin

CoRR, 2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.

Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia

CoRR, 2023

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification.

Haoqiang Kang, Juntong Ni, Huaxiu Yao

CoRR, 2023

General Debiasing for Multimodal Sentiment Analysis.

Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie

Proceedings of the 31st ACM International Conference on Multimedia, 2023