Qinghao Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
22
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*CVPR4 papers
- A*ECCV4 papers
- A*AAAI3 papers
- A*ASPLOS3 papers
- ADATE2 papers
- AEuroSys2 papers
- AWACV2 papers
- A*ICLR2 papers
- ASC2 papers
- BICPR1 paper
- BISPASS1 paper
- A*EMNLP1 paper
- A*SOSP1 paper
- A*HPCA1 paper
- A*ICDE1 paper
- BIWQoS1 paper
- NationalNSDI1 paper
- A*WWW1 paper
- A*OSDI1 paper
- AUSENIX1 paper
- A*IJCAI1 paper
- ACIKM1 paper
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MemeBQ: Memory Efficient Binary Quantization of LLMs. | Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang, Qinghao Hu |
| 2026 | ASPLOS | Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. | Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han |
| 2026 | DATE | APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference. | Peihuan Ni, Zitao Mo, Tielong Liu, Hongli Wen, Zeyu Zhu, Minnan Pei, Junwen Si, Weifan Guan, Peisong Wang, Qinghao Hu, Gang Li, Jian Cheng |
| 2026 | EuroSys | Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. | Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler |
| 2026 | ICPR | KASH: 1-Bit Key-Value Cache Quantizaiton via Asymmetric Hashing. | Yifan Zhang, Qinghao Hu, Zhihui Wei, Jian Cheng |
| 2026 | ISPASS | An Empirical Study of LLM Serving in Confidential GPUs. | Eunseong Park, Timo Thans, Vishnu Kumar Kalidasan, Qinghao Hu, Wenjie Xiong |
| 2026 | WACV | A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers. | Jiahe Qian, Peisong Wang, Zhengyang Zhuge, Qinghao Hu, Jian Cheng |
| 2025 | DATE | SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization. | Jiayao Ling, Gang Li, Qinghao Hu, Xiaolong Lin, Cheng Gu, Jian Cheng, Xiaoyao Liang |
| 2025 | EMNLP | LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning. | Zhangming Li, Qinghao Hu, Yiqun Chen, Peisong Wang, Yifan Zhang, Jian Cheng |
| 2025 | EuroSys | DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs. | Xiaozhe Yao, Qinghao Hu, Ana Klimovic |
| 2025 | ICLR | LongVILA: Scaling Long-Context Visual Language Models for Long Videos. | Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han |
| 2025 | SOSP | Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. | Foteini Strati, Zhendong Zhang, George Manos, Ixeia Snchez Priz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic |
| 2024 | ASPLOS | FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. | Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng |
| 2024 | HPCA | MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. | Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng |
| 2024 | ICDE | Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. | Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2024 | IWQoS | Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training. | Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun |
| 2024 | NSDI | Characterization of Large Language Model Development in the Datacenter. | Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang |
| 2024 | WWW | FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. | Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2024 | SC | TorchGT: A Holistic System for Large-Scale Graph Transformer Training. | Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang |
| 2023 | ASPLOS | Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. | Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2023 | ICLR | $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. | Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng |
| 2023 | OSDI | Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. | Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2023 | WACV | Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. | Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang |
| 2022 | CVPR | MixFormer: Mixing Features across Windows and Dimensions. | Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang |
| 2022 | ECCV | PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. | Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng |
| 2022 | USENIX | Primo: Practical Learning-Augmented Systems with Interpretable Models. | Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2021 | CVPR | Generative Zero-Shot Network Quantization. | Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng |
| 2021 | SC | Characterization and prediction of deep learning workloads in large-scale GPU datacenters. | Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang |
| 2020 | ECCV | ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. | Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng |
| 2020 | IJCAI | Soft Threshold Ternary Networks. | Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng |
| 2018 | AAAI | From Hashing to CNNs: Training Binary Weight Networks via Hashing. | Qinghao Hu, Peisong Wang, Jian Cheng |
| 2018 | CVPR | Two-Step Quantization for Low-Bit Neural Networks. | Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng |
| 2018 | ECCV | Training Binary Weight Networks via Semi-Binary Decomposition. | Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng |
| 2018 | ECCV | Semi-supervised Generative Adversarial Hashing for Image Retrieval. | Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou |
| 2017 | CIKM | Fast K-means for Large Scale Clustering. | Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng |
| 2016 | AAAI | Shoot to Know What: An Application of Deep Networks on Mobile Devices. | Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng |
| 2016 | CVPR | Quantized Convolutional Neural Networks for Mobile Devices. | Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng |