Ke Liu

According to our database, Ke Liu authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection.

Ke Liu, Mengxuan Li, Jiajun Bu, Hongwei Wang, Haishuai Wang

Neural Networks, 2026

2025

TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection.

Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data.

Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance.

Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Attention Beats Linear for Fast Implicit Neural Representation Generation.

Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu, Haishuai Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Implicit Neural Distance Optimization for Mesh Neural Subdivision.

Ke Liu, Ning Ma, Zhihua Wang, Jingjun Gu, Jiajun Bu, Haishuai Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis.

Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023