FPGA-based object detection processor with HOG feature and SVM classifier. - Fengwei An; Peng Xu 035; Zhihua Xiao; Chao Wang 096 (SoCC, 2019)

Energy-Efficient Machine Learning Accelerator for Binary Neural Networks. - Wei Mao 002; Zhihua Xiao; Peng Xu 035; Hongwei Ren; Dingbang Liu; Shirui Zhao; Fengwei An; Hao Yu 001 (ACM Great Lakes Symposium on VLSI, 2020)

A Multi-Core Object Detection Coprocessor for Multi-Scale/Type Classification Applicable to IoT Devices. - Peng Xu 035; Zhihua Xiao; Xianglong Wang; Lei Chen 001; Chao Wang 096; Fengwei An (Sensors, 2020)

A Multi-Class Objects Detection Coprocessor With Dual Feature Space and Weighted Softmax. - Zhihua Xiao; Peng Xu 035; Xianglong Wang; Lei Chen 001; Fengwei An (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. - Mengzhao Chen; Wenqi Shao; Peng Xu 035; Mingbao Lin; Kaipeng Zhang; Fei Chao 001; Rongrong Ji; Yu Qiao 001; Ping Luo 002 (ICCV, 2023)

Tiny LVLM-eHub: Early Multimodal Experiments with Bard. - Wenqi Shao; Yutao Hu 002; Peng Gao 007; Meng Lei; Kaipeng Zhang; Fanqing Meng; Peng Xu 035; Siyuan Huang 004; Hongsheng Li 001; Yu Qiao 001; Ping Luo 002 (CoRR, 2023)

ImageBind-LLM: Multi-modality Instruction Tuning. - Jiaming Han; Renrui Zhang; Wenqi Shao; Peng Gao 007; Peng Xu 035; Han Xiao 010; Kaipeng Zhang; Chris Liu; Song Wen 006; Ziyu Guo; Xudong Lu; Shuai Ren; et al. (CoRR, 2023)

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. - Wenqi Shao; Mengzhao Chen; Zhaoyang Zhang 004; Peng Xu 035; Lirui Zhao; Zhiqian Li; Kaipeng Zhang; Peng Gao 007; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. - Peng Xu 035; Wenqi Shao; Mengzhao Chen; Shitao Tang; Kaipeng Zhang; Peng Gao 007; Fengwei An; Yu Qiao 001; Ping Luo 002 (ICLR, 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 117; Wenbo Zhang 009; Yuqi Lin; Shuo Liu; Jiayi Lei; Quanfeng Lu; et al. (ICML, 2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. - Mengzhao Chen; Wenqi Shao; Peng Xu 035; Jiahao Wang; Peng Gao 007; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

DCP: Learning Accelerator Dataflow for Neural Network via Propagation. - Peng Xu 035; Wenqi Shao; Mingyu Ding; Ping Luo 002 (CoRR, 2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. - Mengzhao Chen; Wenqi Shao; Peng Xu 035; Jiahao Wang; Peng Gao 007; Kaipeng Zhang; Ping Luo 002 (ACL (1), 2025)

LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. - Peng Xu 035; Wenqi Shao; Kaipeng Zhang; Peng Gao 007; Shuo Liu; Meng Lei; Fanqing Meng; Siyuan Huang 004; Yu Qiao 001; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models. - Wenqi Shao; Meng Lei; Yutao Hu 002; Peng Gao 007; Peng Xu 035; Kaipeng Zhang; Fanqing Meng; Siyuan Huang 004; Hongsheng Li 001; Yu Qiao 001; Ping Luo 002 (IEEE Trans. Big Data, 2025)