Juntong Ni - RankMe

20 papers A* 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning. CoRR Juntong Ni, Shiyu Wang, Ming Jin, Qi He, Wei Jin
2026	—	`conf`	Scalable Graph Condensation with Evolving Capabilities. KDD (1) Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin
2026	—	`conf`	TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. KDD (1) Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
2025	J	`jnl`	A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+). CoRR 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
2025	J	`jnl`	Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. CoRR Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin
2025	J	`jnl`	CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting. CoRR Zewen Liu, Juntong Ni, Max S. Y. Lau, Wei Jin
2025	J	`jnl`	Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? CoRR Zewen Liu, Juntong Ni, Xianfeng Tang, Max S. Y. Lau, Wenpeng Yin, Wei Jin
2025	A*	`conf`	LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research. EMNLP Shuo Yan, Ruochen Li, Ziming Luo, Zimu Wang, Daoyang Li, Liqiang Jing, Kaiyu He, Peilin Wu, Juntong Ni, George Michalopoulos, Yue Zhang, Ziyang Zhang, Mian Zhang, Zhiyu Chen, Xinya Du
2025	J	`jnl`	PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation. CoRR Juntong Ni, Saurabh Kataria, Shengpu Tang, Carl Yang, Xiao Hu, Wei Jin
2025	J	`jnl`	Scalable Graph Condensation with Evolving Capabilities. CoRR Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin
2025	J	`jnl`	TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. CoRR Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
2025	J	`jnl`	TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. CoRR Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash
2024	A*	`conf`	A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. IJCAI Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin
2024	J	`jnl`	A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. CoRR Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin
2024	J	`jnl`	GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin
2024	J	`jnl`	Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation. IEEE Trans. Multim. Teng Sun, Yinwei Wei, Juntong Ni, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie
2023	J	`jnl`	Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification. CoRR Haoqiang Kang, Juntong Ni, Huaxiu Yao
2023	J	`jnl`	FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. CoRR Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
2023	A*	`conf`	General Debiasing for Multimodal Sentiment Analysis. ACM Multimedia Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie
2023	J	`jnl`	General Debiasing for Multimodal Sentiment Analysis. CoRR Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie