Juntong Ni

Juntong Ni (倪浚桐)

I am Ph.D student of Computer Science at Emory University, advised by Prof. Wei Jin in Emory Melody Lab.

I am currently focusing on time series analysis and large language model. I received my B.E. degree from Shandong Univeristy in 2024, where I major in AI.

In part time, I am a big fan of badminton, tennis, and many outdoor sports including running, hiking, mountaineering, etc.

Google Scholar / X / LinkedIn / Github

Email: juntong.ni at emory dot edu

News

[Oct. 2026] New preprint: Can LLMs Be Event World Models? We benchmark LLMs as world models for multi-actor event worlds built from Diplomacy games and Polymarket trades.
[May. 2026] Excited to share that our paper on Multivaraite Time Series Foundation Model is accepted by ICML 2026 and is selected to Oral, Top 0.7%!
[May. 2026] Our ACL 2026 paper on Time Series Reasoning is selected to Oral, Top 4%!
[May. 2026] Excited to share that our paper on Epidemic Time Series is accpeted by KDD 2026!
[Apr. 2026] Excited to share that our survey on Agentic AI in Healthcare is accpeted by Journal of Biomedical Informatics!
[Apr. 2026] Excited to share that our two papers on Time Series Reasoning and Symbolic Reasoning over Time Series are accpeted by ACL 2026!
[Mar. 2026] Invited talk at Nokia in Sunnyvale, CA!
[Jan. 2026] Thrilled to start my spring internship at ByteDance in San Jose, CA!
[Jan. 2026] Excited to share that our paper on Module-Level Effectiveness Benchmarking for Time Series Forecasting is accpeted by ICLR 2026!
[Nov. 2025] Excited to share that our two papers on Efficient Time Series Forecasting and Scalable Graph Condensation are accpeted by KDD 2026!
[Nov. 2025] Our book chapter Dataset Distillation for Enterprise Applications is published in the new edited Springer book Enterprise AI!
[Sep. 2025] Excited to share that our paper on PPG Time Series Signal is accpeted by NeurIPS 2025 TS4H Spotlight!
[Sep. 2025] Excited to share that our paper on Graph Condensation is accpeted by NeurIPS 2025!
[Apr. 2024] Invited talk at Gerogia Tech!
[Aug. 2024] Start my Ph.D. life at at Emory!
[Apr. 2024] Our survey on graph reduction has been accepted by IJCAI 2024!
[Feb. 2024] I am happy to be admitted as a Computer Science PhD student in Emory Unviersity, advised by Prof. Wei Jin.

Selected Publications (*equal contribution)

	From Single-Actor Environments to Multi-Actor Event Worlds: Can LLMs Be Event World Models? Juntong Ni, Zewen Liu, Bohan Wang, Lige Zhang, Wei Jin arXiv preprint pdf / code
	ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence Shiyu Wang, Juntong Ni, Ziyi Zhang, Baichuan Mo, Xinyue Zhong, Chengxin Wang, Yuchen Fang, Zhou Ye, Yang Xiang ICML 2026 (Oral, Top 0.7%) pdf
	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 ACL 2026 (Oral, Top 4%) pdf / code
	UCast: 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 arXiv preprint pdf / code
	TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin KDD 2026 pdf / code
	GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin NeurIPS 2025 pdf / code
	PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation Juntong Ni, Saurabh Kataria, Shengpu Tang, Carl Yang, Xiao Hu, Wei Jin NeurIPS 2025 Workshop (Spotlight, 9/113) pdf
	Dataset Distillation for Enterprise Applications Juntong Ni, Shengbo Gong, Wei Jin Book chapter in Enterprise AI, Shazia Sadiq (Eds.). Springer. Chapter 2. Springer pdf
	A Comprehensive Survey of Agentic AI in Healthcare Gelei Xu, Xueyang Li, Yixiong Chen, Yuying Duan, Shuqing Wu, Alexander Yu, Ching-Hao Chiu, Juntong Ni, Ningzhi Tang, Toby Jia-Jun Li, Alan Yuille, Wei Jin, Yiyu Shi Journal of Biomedical Informatics pdf / paper list

Open-Source Projects

	A Library for High-Dimensional Time Series Forecasting pdf / code
	A Library for Graph Reduction pdf / code

Other Publications

	Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? Zewen Liu, Juntong Ni, Bohan Wang, Xianfeng Tang, Max SY Lau, Wei Jin ACL 2026 Finding pdf
	TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B Aditya Prakash ICLR 2026 pdf / code
	Scalable Graph Condensation with Evolving Capabilities Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin KDD 2026 pdf
	SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting Tianning Feng, Juntong Ni, Ezequiel Gleichgerrcht, Wei Jin PSB 2026 pdf
	A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B Aditya Prakash, Wei Jin IJCAI, 2024 pdf / paper list
	Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes Zewen Liu, Juntong Ni, Bohan Wang, Max SY Lau, Wei Jin KDD 2026 AI4Science pdf
	Muti-modal Emotion Recognition via Hierarchical Knowledge Distillation Teng Sun, Yinwei Wei, Juntong Ni, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie IEEE Transactions on Multimedia, 2024 pdf
	General Debiasing for Multimodal Sentiment Analysis Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie ACM Multimedia, 2023 pdf / code
	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 arXiv preprint pdf
	Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification Haoqiang Kang, Juntong Ni, Huaxiu Yao arXiv preprint pdf / code

Last updated: 2026/10/22.