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

[Sep. 2025] Excited to share that our paper on PPG Time Series Signal is accpeted by NeurIPS 2025 Workshop TS4H!

[Sep. 2025] Excited to share that our paper on Graph Condensation is accpeted by NeurIPS 2025!

[Aug. 2024] I am thrilled to officially begin my PhD studies 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)

	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 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 arXiv preprint pdf
	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 pdf

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, Xianfeng Tang, Max SY Lau, Wei Jin arXiv preprint 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 arXiv preprint pdf / code
	SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting Tianning Feng, Juntong Ni, Ezequiel Gleichgerrcht, Wei Jin PSB 2026 pdf
	CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting Zewen Liu, Juntong Ni, Max SY Lau, Wei Jin arXiv preprint pdf
	Scalable Graph Condensation with Evolving Capabilities Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin arXiv preprint 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
	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
	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
	General Debiasing for Multimodal Sentiment Analysis Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie ACM Multimedia, 2023 pdf / code

Last updated: 2025/9/24.