An innovative experimental teaching method of hardware-software co-design-Taking a hardware accelerator of neural network using FPGA. - Ying Li; Jingzhuo Liang; Gui Shi Jie; Yangdong Liu; Wei Huang 042; Yue Yan; Xianglong Liu 001 (FIE, 2023)

OHQ: On-chip Hardware-aware Quantization. - Wei Huang 042; Haotong Qin; Yangdong Liu; Jingzhuo Liang; Yifu Ding; Ying Li; Xianglong Liu 001 (CoRR, 2023)

SNNGX: Securing Spiking Neural Networks with Genetic XOR Encryption on RRAM-based Neuromorphic Accelerator. - Kwunhang Wong; Songqi Wang; Wei Huang 042; Xinyuan Zhang; Yangu He; Karl Ming Him Lai; Yuzhong Jiao; Ning Lin; Xiaojuan Qi 001; Xiaoming Chen 003; Zhongrui Wang (ICCAD, 2024)

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. - Wei Huang 042; Yangdong Liu; Haotong Qin; Ying Li; Shiming Zhang; Xianglong Liu 001; Michele Magno; Xiaojuan Qi 001 (ICML, 2024)

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. - Wei Huang 042; Xudong Ma; Haotong Qin; Xingyu Zheng; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (CoRR, 2024)

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. - Wei Huang 042; Haotong Qin; Yangdong Liu; Yawei Li 001; Xianglong Liu 001; Luca Benini; Michele Magno; Xiaojuan Qi 001 (CoRR, 2024)

MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More. - Wei Huang 042; Yue Liao; Jianhui Liu; Ruifei He; Haoru Tan; Shiming Zhang; Hongsheng Li 001; Si Liu 001; Xiaojuan Qi 001 (CoRR, 2024)

An empirical study of LLaMA3 quantization: from LLMs to MLLMs. - Wei Huang 042; Xingyu Zheng; Xudong Ma; Haotong Qin; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (Vis. Intell., 2024)

VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection. - Songhao Han; Wei Huang 042; Hairong Shi; Le Zhuo; Xiu Su; Shifeng Zhang; Xu Zhou; Xiaojuan Qi 001; Yue Liao; Si Liu 001 (CVPR, 2025)

Mixture Compressor for Mixture-of-Experts LLMs Gains More. - Wei Huang 042; Yue Liao; Jianhui Liu; Ruifei He; Haoru Tan; Shiming Zhang; Hongsheng Li 001; Si Liu 001; Xiaojuan Qi 001 (ICLR, 2025)

Data Pruning by Information Maximization. - Haoru Tan; Sitong Wu; Wei Huang 042; Shizhen Zhao; Xiaojuan Qi 001 (ICLR, 2025)

MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO. - Yicheng Xiao; Lin Song 002; Yukang Chen; Yingmin Luo; Yuxin Chen; Yukang Gan; Wei Huang 042; Xiu Li 001; Xiaojuan Qi 001; Ying Shan (CoRR, 2025)

DBellQuant: Breaking the Bell with Double-Bell Transformation for LLMs Post Training Binarization. - Zijian Ye; Wei Huang 042; Yifei Yu; Tianhe Ren; Zhongrui Wang; Xiaojuan Qi 001 (CoRR, 2025)