General Debiasing for Multimodal Sentiment Analysis. - Teng Sun; Juntong Ni; Wenjie Wang 007; Liqiang Jing; Yinwei Wei; Liqiang Nie (ACM Multimedia, 2023)

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification. - Haoqiang Kang; Juntong Ni; Huaxiu Yao (CoRR, 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)

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. - Mohammad Hashemi; Shengbo Gong; Juntong Ni; Wenqi Fan; B. Aditya Prakash; Wei Jin 009 (IJCAI, 2024)

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. - Shengbo Gong; Juntong Ni; Noveen Sachdeva; Carl Yang 001; Wei Jin 009 (CoRR, 2024)

Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation. - Teng Sun; Yinwei Wei; Juntong Ni; Zixin Liu; Xuemeng Song; Yaowei Wang 001; Liqiang Nie (IEEE Trans. Multim., 2024)

CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting. - Zewen Liu 005; Juntong Ni; Max S. Y. Lau; Wei Jin 009 (CoRR, 2025)

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. - Juntong Ni; Zewen Liu 005; Shiyu Wang 001; Ming Jin 005; Wei Jin 009 (CoRR, 2025)

Scalable Graph Condensation with Evolving Capabilities. - Shengbo Gong; Mohammad Hashemi; Juntong Ni; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. - Zhiyuan Zhao 002; Juntong Ni; Shangqing Xu; Haoxin Liu 001; Wei Jin 009; B. Aditya Prakash (CoRR, 2025)

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. - Juntong Ni; Shiyu Wang 001; Zewen Liu 005; Xiaoming Shi 001; Xinyue Zhong; Zhou Ye 001; Wei Jin 009 (CoRR, 2025)

Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? - Zewen Liu 005; Juntong Ni; Xianfeng Tang; Max S. Y. Lau; Wenpeng Yin 001; Wei Jin 009 (CoRR, 2025)