17 citations · 19 across the 6 of their papers we have counts for
6 papers
Stationarity Exploration for Multivariate Time Series Forecasting
Hao Liu, Chun Yang, Zhang xiaoxing +2
Deep learning-based time series forecasting has found widespread applications. Recently, converting time series data into the frequency domain for forecasting has become popular fo…
Semantic-Enhanced Time-Series Forecasting via Large Language Models
Hao Liu, Xiaoxing Zhang, Chun Yang +1
Time series forecasting plays a significant role in finance, energy, meteorology, and IoT applications. Recent studies have leveraged the generalization capabilities of large langu…
Video-Language Alignment via Spatio-Temporal Graph Transformer
Shi-Xue Zhang, Hongfa Wang, Xiaobin Zhu +5
Video-language alignment is a crucial multi-modal task that benefits various downstream applications, e.g., video-text retrieval and video question answering. Existing methods eith…
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
Zhiyu Fang, Jingyan Qin, Xiaobin Zhu +2
Distinguished from traditional knowledge graphs (KGs), temporal knowledge graphs (TKGs) must explore and reason over temporally evolving facts adequately. However, existing TKG app…
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph
Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu +4
Temporal Knowledge Graph (TKG) reasoning often involves completing missing factual elements along the timeline. Although existing methods can learn good embeddings for each factual…
Inverse-like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic Sampling
Shi-Xue Zhang, Chun Yang, Xiaobin Zhu +3
Scene text spotting is a challenging task, especially for inverse-like scene text, which has complex layouts, e.g., mirrored, symmetrical, or retro-flexed. In this paper, we propos…