Chengru Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
13
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation. | Xinlong Chen, Yuanxing Zhang, Chongling Rao, Yushuo Guan, Jiaheng Liu, Fuzheng Zhang, Chengru Song, Qiang Liu, Di Zhang, Tieniu Tan |
| 2025 | CLOUD | Cauchy: A Cost-Efficient LLM Serving System through Adaptive Heterogeneous Deployment. | Yihui Zhang, Han Shen, Renyu Yang, Di Tian, Yuxi Luo, Menghao Zhang, Li Li, Chunming Hu, Tianyu Wo, Chengru Song, Jin Ouyang |
| 2025 | CLOUD | Cuckoo: Deadline-Aware Job Packing on Heterogeneous GPUs for DL Model Training. | Yuzheng Zhang, Renyu Yang, Junhong Liu, Weihan Jiang, Tianyu Ye, Yiqiao Liao, Penghao Zhang, Tiezi Zhang, Kun Shang, Tianyu Wo, Chunming Hu, Chengru Song, Jin Ouyang |
| 2025 | SC | SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training. | Zhouyang Li, Yuliang Liu, Wei Zhang, Tailing Yuan, Bin Chen, Chengru Song |
| 2024 | CLOUD | 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 |
| 2024 | COLING | 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 |
| 2024 | ICLR | 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, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu |
| 2024 | ICML | 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 |
| 2024 | USENIX | 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 |
| 2023 | CIKM | 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 |
| 2023 | CVPR | PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. | Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song |
| 2023 | DAC | 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 |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | 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 |
| 2023 | ICLR | MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion. | Chao Liao, Jianchao Tan, Jiyuan Jia, Yi Guo, Chengru Song |
| 2022 | Interspeech | 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 |
| 2022 | Interspeech | 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 |
| 2018 | CIKM | Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. | Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang |
| 2018 | KDD | 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 |