Xingcheng Zhang
- InternLM2 Technical Report
2024/03/26 by Zheng Cai, Maosong Cao, Cai, Zheng +199 · 2 voices · 57 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Machine Learning in Healthcare
- Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
2024/12/06 by Zhe Chen, Chen, Zhe, Weiyun Wang +86 · 3 voices · 427 citations
Computer Science · Decision Sciences · #Topic Modeling #Scientific Computing and Data Management #Machine Learning and Data Classification
- MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
2024/04/02 by Jiangfei Duan, Duan, Jiangfei, Runyu Lu +13 · 10 citations
Engineering · #Power Line Communications and Noise
- InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
2024/12/12 by Pan Zhang, Xiaoyi Dong, Zhang, Pan +53 · 14 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimedia Communication and Technology #Speech and dialogue systems #Video Analysis and Summarization
- Accelerated Training for Massive Classification via Dynamic Class Selection
2018/01/05 by Xingcheng Zhang, Lei Yang, Zhang, Xingcheng +5 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning and Algorithms
- MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
2025/05/09 by Haojie Duanmu, Xiuhong Li, Duanmu, Haojie +11 · 9 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Stochastic Gradient Optimization Techniques
- Proteus: Simulating the Performance of Distributed DNN Training
2023/06/04 by Jiangfei Duan, Xiuhong Li, Duan, Jiangfei +11 · 2 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Distributed #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
- Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
2025/02/17 by Zhou, Jiecheng, Ding Tang, Rong Fu +18 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- H2:Towards Efficient Large-Scale LLM Training on Hyper-Heterogeneous Cluster over 1,000 Chips
2025/05/23 by Ding Tang, Jiecheng Zhou, Tang, Ding +13 · 2 voices
Computer Science · #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.DC
- GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
2025/02/20 by Miao Tao, Yuanzhen Zhou, Tao, Miao +23 · 1 voice · 3 citations
#cs.CV
- Optimizing Video Object Detection via a Scale-Time Lattice
2018/04/16 by Kai Chen, Chen, Kai, Jiaqi Wang +11 · 1 citation
Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Video Surveillance and Tracking Methods