Kaikui Liu

According to our database, Kaikui Liu authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Comprehensive Comparison Network: a framework for locality-aware, routes-comparable and interpretable route recommendation.

Chao Chen, Longfei Xu, Hanyu Guo, Chengzhang Wang, Ying Wang, Kaikui Liu, Xiangxiang Chu

CoRR, August, 2025

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion.

Xinyan Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu

CoRR, May, 2025

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking.

Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Kaikui Liu, Fan Yang, Xiangxiang Chu, Ning Guo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking.

Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Li Chen, Kaikui Liu, Fan Yang, Ning Guo

CoRR, 2024

2021

A General Framework for Debiasing in CTR Prediction.

Wenjie Chu, Shen Li, Chao Chen, Longfei Xu, Hengbin Cui, Kaikui Liu

CoRR, 2021

R4: A Framework for Route Representation and Route Recommendation.

Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li

CoRR, 2021

Denoising User-aware Memory Network for Recommendation.

Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding.

Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data.

Rui Dai, Shenkun Xu, Qian Gu, Chenguang Ji, Kaikui Liu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020