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• Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models

  Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis

  21779-21787

  2024-03-24

• Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks

  Tony Gracious, Ambedkar Dukkipati

  16897-16905

  2025-04-11

• DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis

  YongKyung Oh, Dong-Young Lim, Sungil Kim

  19730-19739

  2025-04-11

• Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

  Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

  7296-7304

  2024-03-24

• Time Series Domain Adaptation via Sparse Associative Structure Alignment

  Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

  6859-6867

  2021-05-18

• Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views

  Zixin Zou, Weihao Cheng, Yan-Pei Cao, Shi-Sheng Huang, Ying Shan, Song-Hai Zhang

  7900-7908

  2024-03-24

• Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation

  Qian Hong, Cheng Bian, Xiao Zhou, Xiaoyu Li, Yelei Li, Zijing Zeng

  21761-21769

  2026-03-14

• VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting

  Junhyeok Kang, Yooju Shin, Jae-Gil Lee

  17742-17749

  2025-04-11

• Revisiting Attention for Multivariate Time Series Forecasting

  Haixiang Wu

  21528-21535

  2025-04-11

• Unlocking the Power of LSTM for Long Term Time Series Forecasting

  Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

  11968-11976

  2025-04-11

• Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting

  Kohei Miyaguchi, Hiroshi Kajino

  4594-4601

  2019-07-17

• SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting

  Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin

  27153-27161

  2026-03-14

• Graph-Aware Contrasting for Multivariate Time-Series Classification

  Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

  15725-15734

  2024-03-24

• Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

  Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

  15715-15724

  2024-03-24

• PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model

  Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou

  12200-12207

  2022-06-28

• Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

  Haochong Xia , Shuo Sun, Xinrun Wang, Bo An

  15996-16004

  2024-03-24

• R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models

  Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen

  27870-27878

  2026-03-14

• CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift

  HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon

  15018-15026

  2026-03-14

• Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction

  Wentao Gao, Xiongren Chen, Xiaojing Du, Wenjun Yu, Andres Mauricio Cifuentes Bernal, Ziqi Xu

  38478-38486

  2026-03-14

• Attentive Neural Point Processes for Event Forecasting

  Yulong Gu

  7592-7600

  2021-05-18

• Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval

  Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen

  1403-1411

  2020-04-03

• Detecting Multivariate Time Series Anomalies with Zero Known Label

  Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng

  4963-4971

  2023-06-26

• Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning

  Yu Liu, Haoqin Yang, Jinping Sui, Hui Wang, Haipeng Li, Weimin Wang, Qi Jia

  23917-23925

  2026-03-14

• RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework

  Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu

  1258-1265

  2020-04-03

• Neural Spline Search for Quantile Probabilistic Modeling

  Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister

  9927-9934

  2023-06-26