Peng Xu - RankMe

20 papers A* 4Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. ACL (1) Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Ping Luo
2025	J	`jnl`	LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, Ping Luo
2025	J	`jnl`	TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models. IEEE Trans. Big Data Wenqi Shao, Meng Lei, Yutao Hu, Peng Gao, Peng Xu, Kaipeng Zhang, Fanqing Meng, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo
2024	A*	`conf`	BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. ICLR Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
2024	J	`jnl`	BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. CoRR Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
2024	J	`jnl`	DCP: Learning Accelerator Dataflow for Neural Network via Propagation. CoRR Peng Xu, Wenqi Shao, Mingyu Ding, Ping Luo
2024	J	`jnl`	EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. CoRR Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
2024	A*	`conf`	MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. ICML 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
2024	J	`jnl`	MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. CoRR 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
2024	A*	`conf`	OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. ICLR Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
2023	A*	`conf`	DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
2023	J	`jnl`	DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
2023	J	`jnl`	ImageBind-LLM: Multi-modality Instruction Tuning. CoRR 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
2023	J	`jnl`	LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. CoRR Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, Ping Luo
2023	J	`jnl`	OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. CoRR Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
2023	J	`jnl`	Tiny LVLM-eHub: Early Multimodal Experiments with Bard. CoRR Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo
2020	J	`jnl`	A Multi-Class Objects Detection Coprocessor With Dual Feature Space and Weighted Softmax. IEEE Trans. Circuits Syst. II Express Briefs Zhihua Xiao, Peng Xu, Xianglong Wang, Lei Chen, Fengwei An
2020	J	`jnl`	A Multi-Core Object Detection Coprocessor for Multi-Scale/Type Classification Applicable to IoT Devices. Sensors Peng Xu, Zhihua Xiao, Xianglong Wang, Lei Chen, Chao Wang, Fengwei An
2020	—	`conf`	Energy-Efficient Machine Learning Accelerator for Binary Neural Networks. ACM Great Lakes Symposium on VLSI Wei Mao, Zhihua Xiao, Peng Xu, Hongwei Ren, Dingbang Liu, Shirui Zhao, Fengwei An, Hao Yu
2019	—	`conf`	FPGA-based object detection processor with HOG feature and SVM classifier. SoCC Fengwei An, Peng Xu, Zhihua Xiao, Chao Wang