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2020 – today
- 2025
[i13]Zewen Liu, Juntong Ni, Max S. Y. Lau, Wei Jin:
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting. CoRR abs/2502.03393 (2025)- [i12]Juntong Ni, Zewen Liu, Shiyu Wang
, Ming Jin, Wei Jin:
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. CoRR abs/2502.15016 (2025) - [i11]Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin:
Scalable Graph Condensation with Evolving Capabilities. CoRR abs/2502.17614 (2025) - [i10]Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash:
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. CoRR abs/2506.06482 (2025) - [i9]Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin:
Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. CoRR abs/2507.15119 (2025) - [i8]Zewen Liu, Juntong Ni, Xianfeng Tang, Max S. Y. Lau, Wenpeng Yin, Wei Jin:
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? CoRR abs/2508.03963 (2025) - [i7]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:
A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+). CoRR abs/2509.16348 (2025) - [i6]Juntong Ni, Saurabh Kataria, Shengpu Tang, Carl Yang, Xiao Hu, Wei Jin:
PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation. CoRR abs/2509.19215 (2025) - 2024
- [j1]Teng Sun, Yinwei Wei, Juntong Ni, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie:
Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation. IEEE Trans. Multim. 26: 9036-9046 (2024) - [c2]Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin:
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. IJCAI 2024: 8058-8066 - [i5]Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin:
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. CoRR abs/2402.03358 (2024) - [i4]Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin:
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR abs/2406.16715 (2024) - 2023
- [c1]Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie:
General Debiasing for Multimodal Sentiment Analysis. ACM Multimedia 2023: 5861-5869 - [i3]Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie:
General Debiasing for Multimodal Sentiment Analysis. CoRR abs/2307.10511 (2023) - [i2]Haoqiang Kang, Juntong Ni, Huaxiu Yao:
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification. CoRR abs/2311.09114 (2023) - [i1]Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia:
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. CoRR abs/2311.10255 (2023)
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