Zhining Liu

According to our database, Zhining Liu authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction.

Yao Zhao, Zhining Liu, Tianchi Cai, Haipeng Zhang, Chenyi Zhuang, Jinjie Gu

CoRR, 2024

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts.

Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster.

Hongxuan Zhang, Zhining Liu, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen

CoRR, 2023

Towards Robust Fairness-aware Recommendation.

Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System.

Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction.

Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Imbalance-Aware Uplift Modeling for Observational Data.

Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.

Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Hubble: An Industrial System for Audience Expansion in Mobile Marketing.

Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi

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

Interpretability-Guided Convolutional Neural Networks for Seismic Fault Segmentation.

Zhining Liu, Cheng Zhou, Guangmin Hu, Chengyun Song

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Two-Stage Audience Expansion for Financial Targeting in Marketing.

Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.

Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A scalable attribute-aware network embedding system.

Weiyi Liu, Zhining Liu, Fucai Yu, Pin-Yu Chen, Toyotaro Suzumura, Guangmin Hu

Neurocomputing, 2019

hpGAT: High-Order Proximity Informed Graph Attention Network.

Zhining Liu, Weiyi Liu, Pin-Yu Chen, Chenyi Zhuang, Chengyun Song

IEEE Access, 2019

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.

Zhining Liu, Dawei Zhou, Jingrui He

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Scalable attribute-aware network embedding with locality.

Weiyi Liu, Zhining Liu, Toyotaro Suzumura, Guangmin Hu

CoRR, 2018

2017

Multi-waveform classification for seismic facies analysis.

Chengyun Song, Zhining Liu, Yaojun Wang, Xingming Li, Guangmin Hu

Comput. Geosci., 2017