Yuqi Nie - RankMe

17 papers A* 4Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Collaborative Inference Over Wireless Channels With Feature Differential Privacy. IEEE J. Sel. Areas Commun. Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith, H. Vincent Poor
2025	A*	`conf`	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. ICLR Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2025	A*	`conf`	Unlocking the Power of LSTM for Long Term Time Series Forecasting. AAAI Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2024	J	`jnl`	A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges. CoRR Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, Stefan Zohren
2024	J	`jnl`	Collaborative Inference over Wireless Channels with Feature Differential Privacy. CoRR Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith, H. Vincent Poor
2024	A*	`conf`	Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks. CoRR Zijian Zhang, Yujie Sun, Zepu Wang, Yuqi Nie, Xiaobo Ma, Peng Sun, Ruolin Li
2024	—	`conf`	Over-the-Air Collaborative Inference with Feature Differential Privacy. IEEECONF Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith, H. Vincent Poor
2024	J	`jnl`	Over-the-Air Collaborative Inference with Feature Differential Privacy. CoRR Mohamed Seif, Yuqi Nie, Andrea Goldsmith, H. Vincent Poor
2024	J	`jnl`	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2024	J	`jnl`	Unlocking the Power of LSTM for Long Term Time Series Forecasting. CoRR Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2023	A*	`conf`	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. ICLR Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2023	J	`jnl`	ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. CoRR Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor
2022	J	`jnl`	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. CoRR Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2021	J	`jnl`	Neural network is heterogeneous: Phase matters more. CoRR Yuqi Nie, Hui Yuan
2019	—	`conf`	Energy Efficiency of Microring Resonator (MRR)-Based Binary Decision Diagram (BDD) Circuits. ICRC Ozan Yakar, Yuqi Nie, Kazumi Wada, Anuradha Agarwal, Ilke Ercan