Haotian Tang

Aug 9, 2024 | medrxiv.org | Haotian Tang |Tom R. Gaunt |Venexia M Walker

TRG receives funding from Biogen and GSK for unrelated research. This work was supported by the UK Medical Research Council Integrative Epidemiology Unit (MC_UU_00032/03). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Jul 15, 2024 | mdpi.com | Yuan Zhang |Haotian Tang |Ye E Wu |Bolun Wang

1. IntroductionIn recent years, human action recognition has become a research hotspot with a wide range of applications. For example, in the field of medical monitoring [1], human action recognition can provide real-time monitoring, alerting doctors or family members when necessary. In the gaming domain of human–computer interactions [2], human action recognition can be used to respond more intelligently to the player’s actions.

Apr 26, 2024 | medrxiv.org | Haotian Tang |Venexia M Walker |Tom R. Gaunt

The authors have declared no competing interest. This work was supported by the UK Medical Research Council Integrative Epidemiology Unit (MC_UU_00011/4 and MC_UU_00032/03). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Jun 1, 2023 | arxiv.org | Jiaming Tang |Haotian Tang |Shang Yang |Wei-Ming Chen

[Submitted on 1 Jun 2023 ( v1 ), last revised 23 Apr 2024 (this version, v4)] Title:AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration View a PDF of the paper titled AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration, by Ji Lin and 9 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) have fundamentally transformed the capabilities of numerous applications, from natural language processing to more intricate...