Chengru Song

According to our database, Chengru Song authored at least 27 papers between 2013 and 2024.

Collaborative distances:

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

2024

PHD-NAS: Preserving helpful data to promote Neural Architecture Search.

Shun Lu, Yu Hu, Longxing Yang, Jilin Mei, Zihao Sun, Jianchao Tan, Chengru Song

Neurocomputing, 2024

Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism.

Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

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

Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs.

Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Kale: Elastic GPU Scheduling for Online DL Model Training.

Ziyang Liu, Renyu Yang, Jin Ouyang, Weihan Jiang, Tianyu Ye, Menghao Zhang, Sui Huang, Jiaming Huang, Chengru Song, Di Zhang, Tianyu Wo, Chunming Hu

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023

ASP: Automatic Selection of Proxy dataset for efficient AutoML.

Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

CoRR, 2023

USDC: Unified Static and Dynamic Compression for Visual Transformer.

Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang

CoRR, 2023

KwaiYiiMath: Technical Report.

Jia-Yi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, Shengnan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

CoRR, 2023

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

Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

CoRR, 2023

Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks.

Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion.

Chao Liao, Jianchao Tan, Jiyuan Jia, Yi Guo, Chengru Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection.

Jun Wang, Peng Yao, Feng Deng, Jianchao Tan, Chengru Song, Xiaorui Wang

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.

Chao Liao, Jinwen Huang, Huan Yuan, Peng Yao, Jianchao Tan, Dawei Zhang, Feng Deng, Xiaorui Wang, Chengru Song

Proceedings of the IEEE International Conference on Acoustics, 2023

Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators.

Qiushi Li, Ju Ren, Yan Zhang, Chengru Song, Yiqiao Liao, Yaoxue Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS.

Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems.

Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song

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.

Guanyu Gao, Chengru Song, T. G. Thusitha Asela Bandara, Meng Shen, Fan Yang, Wolf Posdorfer, Dacheng Tao, Yonggang Wen

IEEE Internet Things J., 2022

Credible and economic multimedia service optimization based on game theoretic in hybrid cloud networks.

Tengfei Cao, Lujie Zhong, Han Xiao, Chengru Song, Shujie Yang, Changqiao Xu

Trans. Emerg. Telecommun. Technol., 2022

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

Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song

CoRR, 2022

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation.

Yang Wang, Chenxing Li, Feng Deng, Shun Lu, Peng Yao, Jianchao Tan, Chengru Song, Xiaorui Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Conformer Space Neural Architecture Search for Multi-Task Audio Separation.

Shun Lu, Yang Wang, Peng Yao, Chenxing Li, Jianchao Tan, Feng Deng, Xiaorui Wang, Chengru Song

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2019

A Black-Box Approach to Generate Adversarial Examples Against Deep Neural Networks for High Dimensional Input.

Chengru Song, Changqiao Xu, Shujie Yang, Zan Zhou, Changhui Gong

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai

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.

Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai

CoRR, 2017

2013

Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure.

Chengru Song, Shifeng Weng, Changshui Zhang

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013