News
[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.
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Publications (*equal contribution)
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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
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GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
Shengbo Gong*, Juntong Ni*, Noveen Sachdeva, Carl Yang, Wei Jin
arXiv preprint
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code
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CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting
Zewen Liu, Juntong Ni, Max SY Lau, Wei Jin
arXiv preprint
pdf
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Scalable Graph Condensation with Evolving Capabilities
Shengbo Gong*, Mohammad Hashemi*, Juntong Ni, Carl Yang, Wei Jin
arXiv preprint
pdf
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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
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paper list
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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
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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
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Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
Haoqiang Kang, Juntong Ni, Huaxiu Yao
arXiv preprint
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code
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General Debiasing for Multimodal Sentiment Analysis
Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie
ACM Multimedia, 2023
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code
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Last updated: 2025/3/8.
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