Niu, Zhendong

10 publications

AAAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu

AAAI 2025 Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu, Gengxin Hua, Long Wang, Zhenyu Guan, Hanyu Wang, Xuan Zhang, Zhiyu Li, Yuefeng Ma

NeurIPS 2025 SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang

AAAI 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu

NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

AAAI 2022 CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

IJCAI 2019 Knowledge Aware Semantic Concept Expansion for Image-Text Matching Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan

ACML 2013 Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering Xiaotian Jiang, Zhendong Niu, Jiamin Guo, Ghulam Mustafa, Zihan Lin, Baomi Chen, Qian Zhou

AAAI 2000 Matchmaking to Support Intelligent Agents for Portfolio Management Massimo Paolucci, Zhendong Niu, Katia P. Sycara, Constantine Domashnev, Sean Owens, Martin Van Velsen