Juntong Ni

According to our database, Juntong Ni authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

A comprehensive survey of AI agents in healthcare.

Gelei Xu, Xueyang Li, Yixiong Chen, Yuying Duan, Shuqing Wu, Haoxinran Yu, Ching-Hao Chiu, Juntong Ni, Ningzhi Tang, Toby Jia-Jun Li, Alan L. Yuille, Wei Jin, Yiyu Shi

J. Biomed. Informatics, 2026

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

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Scalable Graph Condensation with Evolving Capabilities.

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning.

Juntong Ni, Shiyu Wang, Qi He, Ming Jin, Wei Jin

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

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

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

CoRR, February, 2025

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.

Shuo Yan, Ruochen Li, Ziming Luo, Zimu Wang, Daoyang Li, Liqiang Jing, Kaiyu He, Peilin Wu, Juntong Ni, George Michalopoulos, Yue Zhang, Ziyang Zhang, Mian Zhang, Zhiyu Chen, Xinya Du

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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