Chengru Song

Orcid: 0009-0009-3826-8436

According to our database1, Chengru Song authored at least 22 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization.
CoRR, 2024

2023
ASP: Automatic Selection of Proxy dataset for efficient AutoML.
CoRR, 2023

USDC: Unified Static and Dynamic Compression for Visual Transformer.
CoRR, 2023

KwaiYiiMath: Technical Report.
CoRR, 2023

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.
CoRR, 2023

Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic TF-TDNN: Dynamic Time Delay Neural Network Based on Temporal-Frequency Attention for Dialect Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
FogChain: A Blockchain-Based Peer-to-Peer Solar Power Trading System Powered by Fog AI.
IEEE Internet Things J., 2022

Credible and economic multimedia service optimization based on game theoretic in hybrid cloud networks.
Trans. Emerg. Telecommun. Technol., 2022

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction.
CoRR, 2022

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation.
Proceedings of the Interspeech 2022, 2022

Conformer Space Neural Architecture Search for Multi-Task Audio Separation.
Proceedings of the Interspeech 2022, 2022

2019
A Black-Box Approach to Generate Adversarial Examples Against Deep Neural Networks for High Dimensional Input.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018
Deep Interest Network for Click-Through Rate Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Deep Interest Network for Click-Through Rate Prediction.
CoRR, 2017

2013
Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013


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