Zhining Liu

Orcid: 0000-0002-8422-820X

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Zhining Liu authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts.
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.
CoRR, 2023

Towards Robust Fairness-aware Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
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.
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.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Two-Stage Audience Expansion for Financial Targeting in Marketing.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A scalable attribute-aware network embedding system.
Neurocomputing, 2019

hpGAT: High-Order Proximity Informed Graph Attention Network.
IEEE Access, 2019

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Scalable attribute-aware network embedding with locality.
CoRR, 2018

2017
Multi-waveform classification for seismic facies analysis.
Comput. Geosci., 2017


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