Peng Xu

According to our database, Peng Xu authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models.

Wenqi Shao, Meng Lei, Yutao Hu, Peng Gao, Peng Xu, Kaipeng Zhang, Fanqing Meng, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo

IEEE Trans. Big Data, June, 2025

LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, Ping Luo

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models.

Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Ping Luo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

DCP: Learning Accelerator Dataflow for Neural Network via Propagation.

Peng Xu, Wenqi Shao, Mingyu Ding, Ping Luo

CoRR, 2024

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models.

Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo

CoRR, 2024

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

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

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation.

Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ImageBind-LLM: Multi-modality Instruction Tuning.

Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao

CoRR, 2023

Tiny LVLM-eHub: Early Multimodal Experiments with Bard.

Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo

CoRR, 2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020

A Multi-Class Objects Detection Coprocessor With Dual Feature Space and Weighted Softmax.

Zhihua Xiao, Peng Xu, Xianglong Wang, Lei Chen, Fengwei An

IEEE Trans. Circuits Syst. II Express Briefs, 2020

A Multi-Core Object Detection Coprocessor for Multi-Scale/Type Classification Applicable to IoT Devices.

Peng Xu, Zhihua Xiao, Xianglong Wang, Lei Chen, Chao Wang, Fengwei An

Sensors, 2020

Energy-Efficient Machine Learning Accelerator for Binary Neural Networks.

Wei Mao, Zhihua Xiao, Peng Xu, Hongwei Ren, Dingbang Liu, Shirui Zhao, Fengwei An, Hao Yu

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

2019

FPGA-based object detection processor with HOG feature and SVM classifier.

Fengwei An, Peng Xu, Zhihua Xiao, Chao Wang

Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019