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Chengru Song
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2020 – today
- 2024
- [j3]Shun Lu, Yu Hu, Longxing Yang, Jilin Mei, Zihao Sun, Jianchao Tan, Chengru Song:
PHD-NAS: Preserving helpful data to promote Neural Architecture Search. Neurocomputing 587: 127646 (2024) - [c17]Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong:
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. LREC/COLING 2024: 4476-4487 - [c16]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:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. ICLR 2024 - [c15]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:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. ICML 2024 - [c14]Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. USENIX ATC 2024: 545-561 - [i12]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:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. CoRR abs/2402.03161 (2024) - [i11]Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong:
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. CoRR abs/2405.15208 (2024) - 2023
- [c13]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CIKM 2023: 4930-4937 - [c12]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CVPR 2023: 11940-11949 - [c11]Qiushi Li, Ju Ren, Yan Zhang, Chengru Song, Yiqiao Liao, Yaoxue Zhang:
Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators. DAC 2023: 1-6 - [c10]Chao Liao, Jinwen Huang, Huan Yuan, Peng Yao, Jianchao Tan, Dawei Zhang, Feng Deng, Xiaorui Wang, Chengru Song:
Dynamic TF-TDNN: Dynamic Time Delay Neural Network Based on Temporal-Frequency Attention for Dialect Recognition. ICASSP 2023: 1-5 - [c9]Jun Wang, Peng Yao, Feng Deng, Jianchao Tan, Chengru Song, Xiaorui Wang:
NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection. ICASSP 2023: 1-5 - [c8]Chao Liao, Jianchao Tan, Jiyuan Jia, Yi Guo, Chengru Song:
MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion. ICLR 2023 - [c7]Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. ACM Multimedia 2023: 5204-5213 - [i10]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CoRR abs/2302.14772 (2023) - [i9]Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. CoRR abs/2308.04672 (2023) - [i8]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CoRR abs/2308.09395 (2023) - [i7]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:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR abs/2309.04669 (2023) - [i6]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:
KwaiYiiMath: Technical Report. CoRR abs/2310.07488 (2023) - [i5]Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang:
USDC: Unified Static and Dynamic Compression for Visual Transformer. CoRR abs/2310.11117 (2023) - [i4]Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
ASP: Automatic Selection of Proxy dataset for efficient AutoML. CoRR abs/2310.11478 (2023) - 2022
- [j2]Tengfei Cao, Lujie Zhong, Han Xiao, Chengru Song, Shujie Yang, Changqiao Xu:
Credible and economic multimedia service optimization based on game theoretic in hybrid cloud networks. Trans. Emerg. Telecommun. Technol. 33(8) (2022) - [j1]Guanyu Gao, Chengru Song, T. G. Thusitha Asela Bandara, Meng Shen, Fan Yang, Wolf Posdorfer, Dacheng Tao, Yonggang Wen:
FogChain: A Blockchain-Based Peer-to-Peer Solar Power Trading System Powered by Fog AI. IEEE Internet Things J. 9(7): 5200-5215 (2022) - [c6]Shun Lu, Yang Wang, Peng Yao, Chenxing Li, Jianchao Tan, Feng Deng, Xiaorui Wang, Chengru Song:
Conformer Space Neural Architecture Search for Multi-Task Audio Separation. INTERSPEECH 2022: 5358-5362 - [c5]Yang Wang, Chenxing Li, Feng Deng, Shun Lu, Peng Yao, Jianchao Tan, Chengru Song, Xiaorui Wang:
WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. INTERSPEECH 2022: 5373-5377 - [i3]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022)
2010 – 2019
- 2019
- [c4]Chengru Song, Changqiao Xu, Shujie Yang, Zan Zhou, Changhui Gong:
A Black-Box Approach to Generate Adversarial Examples Against Deep Neural Networks for High Dimensional Input. DSC 2019: 473-479 - 2018
- [c3]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CIKM 2018: 2193-2201 - [c2]Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. KDD 2018: 1059-1068 - [i2]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CoRR abs/1802.09756 (2018) - 2017
- [i1]Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. CoRR abs/1706.06978 (2017) - 2013
- [c1]Chengru Song, Shifeng Weng, Changshui Zhang:
Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure. ACPR 2013: 340-345
Coauthor Index
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