Energy Efficiency of Microring Resonator (MRR)-Based Binary Decision Diagram (BDD) Circuits. - Ozan Yakar; Yuqi Nie; Kazumi Wada; Anuradha Agarwal; Ilke Ercan (ICRC, 2019)

Neural network is heterogeneous: Phase matters more. - Yuqi Nie; Hui Yuan (CoRR, 2021)

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. - Yuqi Nie; Nam H. Nguyen; Phanwadee Sinthong; Jayant Kalagnanam (ICLR, 2023)

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. - Zepu Wang; Yuqi Nie; Peng Sun 007; Nam H. Nguyen; John M. Mulvey; H. Vincent Poor (CoRR, 2023)

Over-the-Air Collaborative Inference with Feature Differential Privacy. - Mohamed Seif; Yuqi Nie; Andrea J. Goldsmith; H. Vincent Poor (IEEECONF, 2024)

Foundation Models for Time Series Analysis: A Tutorial and Survey. - Yuxuan Liang 002; Haomin Wen; Yuqi Nie; Yushan Jiang; Ming Jin 005; Dongjin Song; Shirui Pan; Qingsong Wen (KDD, 2024)

Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks. - Zijian Zhang; Yujie Sun; Zepu Wang; Yuqi Nie; Xiaobo Ma; Peng Sun 007; Ruolin Li (CoRR, 2024)

A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges. - Yuqi Nie; Yaxuan Kong; Xiaowen Dong 001; John M. Mulvey; H. Vincent Poor; Qingsong Wen; Stefan Zohren (CoRR, 2024)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. - Xiaoming Shi 001; Shiyu Wang 001; Yuqi Nie; Dianqi Li; Zhou Ye 001; Qingsong Wen; Ming Jin 005 (CoRR, 2024)

Collaborative Inference over Wireless Channels with Feature Differential Privacy. - Mohamed Seif; Yuqi Nie; Andrea J. Goldsmith; H. Vincent Poor (CoRR, 2024)

Unlocking the Power of LSTM for Long Term Time Series Forecasting. - Yaxuan Kong; Zepu Wang; Yuqi Nie; Tian Zhou 004; Stefan Zohren; Yuxuan Liang 002; Peng Sun; Qingsong Wen (AAAI, 2025)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. - Xiaoming Shi; Shiyu Wang; Yuqi Nie; Dianqi Li; Zhou Ye 001; Qingsong Wen; Ming Jin (ICLR, 2025)