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• FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting

  Henggang Deng, Yuchao Tang, Wenjie Fu, Huandong Wang, Kun Chen, Tao Jiang

  20719-20727

  2026-03-14

• Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting

  Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen

  22173-22181

  2025-04-11

• Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network

  Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor Tsang

  2015-02-09

• Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models

  Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

  10361-10369

  2023-06-26

• Improving Multi-Step Prediction of Learned Time Series Models

  Arun Venkatraman, Martial Hebert, J.. Bagnell

  2015-02-21

• AnomalyKiTS: Anomaly Detection Toolkit for Time Series

  Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam

  13209-13211

  2022-06-28

• Correlative Channel-Aware Fusion for Multi-View Time Series Classification

  Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu

  6714-6722

  2021-05-18

• HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting

  Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang

  15689-15697

  2026-03-14

• EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts

  Lihao Gan, Xin Man, Chenghong Zhang, Jie Shao

  210-218

  2025-04-11

• Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

  Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu

  3656-3663

  2019-07-17

• Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations

  Kazi Ashik Islam, Zakaria Mehrab, Mahantesh M Halappanavar, Henning Mortveit, Katragadda Sridhar, Jon Derek Loftis, Stefan Hoops, Madhav Marathe

  38607-38615

  2026-03-14

• Adaptive Frequency Pathways for Spatiotemporal Forecasting

  Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao

  15653-15661

  2026-03-14

• Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting

  Yuyang Gao, Liang Zhao

  2018-04-29

• AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes

  Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang

  15621-15629

  2024-07-15

• SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint

  Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin

  13798-13805

  2021-05-18

• Expressive Forecasting of 3D Whole-Body Human Motions

  Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang

  1537-1545

  2024-03-24

• CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation

  Changjian Xu, Yong Wang, Ruizheng Huang, Zhicheng Zhang, Wen Yin, Kexin Li

  27215-27223

  2026-03-14

• Hi-EF: Benchmarking Emotion Forecasting in Human-interaction

  Haoran Wang, Xinji Mai, Zeng Tao, Junxiong Lin, Xuan Tong, Ivy Pan, Shaoqi Yan, Yan Wang, Shuyong Gao

  2110-2118

  2026-03-14

• Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting

  Fan Meng

  12892-12893

  2022-06-28

• ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model

  Krishu K Thapa, Supriya Savalkar, Bhupinderjeet Singh, Trong Nghia Hoang, Kirti Rajagopalan, Ananth Kalyanaraman

  39348-39357

  2026-03-14

• Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data

  Eunseon Seong, Harim Lee, Dong-Kyu Chae

  22341-22349

  2024-03-24

• DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling

  Zihao Yao, Jiankai Zuo, Yaying Zhang

  16137-16144

  2026-03-14

• COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series

  Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo

  25572-25580

  2026-03-14

• Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes

  Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham, Ngoc Oanh Tran, Quang Duc Nguyen, Tran Minh Hieu Vo, Tho Quan

  23360-23368

  2024-03-24

• Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows

  Suxin Tong, Jingling Yuan

  20912-20920

  2025-04-11