Zhining Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Convolutional Neural Networks

Top Venues

Publications

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD (2024)
Yao Zhao, Zhining Liu, Tianchi Cai, Haipeng Zhang, Chenyi Zhuang, Jinjie Gu
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction. CoRR (2024)
Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. AAAI (2024)
Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. CoRR (2024)
Hongxuan Zhang, Zhining Liu, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster. CoRR (2023)
Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen
Towards Robust Fairness-aware Recommendation. RecSys (2023)
Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. IJCAI (2023)
Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. CoRR (2023)
Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
Imbalance-Aware Uplift Modeling for Observational Data. AAAI (2022)
Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. KDD (2022)
Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. CIKM (2021)
Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. CoRR (2021)
Zhining Liu, Cheng Zhou, Guangmin Hu, Chengyun Song
Interpretability-Guided Convolutional Neural Networks for Seismic Fault Segmentation. ICASSP (2020)
Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD (2020)
Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI (2020)
Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang
Two-Stage Audience Expansion for Financial Targeting in Marketing. CIKM (2020)
Zhining Liu, Dawei Zhou, Jingrui He
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. CIKM (2019)
Weiyi Liu, Zhining Liu, Fucai Yu, Pin-Yu Chen, Toyotaro Suzumura, Guangmin Hu
A scalable attribute-aware network embedding system. Neurocomputing 339 (2019)
Zhining Liu, Weiyi Liu, Pin-Yu Chen, Chenyi Zhuang, Chengyun Song
hpGAT: High-Order Proximity Informed Graph Attention Network. IEEE Access 7 (2019)
Weiyi Liu, Zhining Liu, Toyotaro Suzumura, Guangmin Hu
Scalable attribute-aware network embedding with locality. CoRR (2018)
Chengyun Song, Zhining Liu, Yaojun Wang, Xingming Li, Guangmin Hu
Multi-waveform classification for seismic facies analysis. Comput. Geosci. 101 (2017)