no code implementations • 24 May 2024 • Yinuo Wang, Likun Wang, YuXuan Jiang, Wenjun Zou, Tong Liu, Xujie Song, Wenxuan Wang, Liming Xiao, Jiang Wu, Jingliang Duan, Shengbo Eben Li
This algorithm conceptualizes the reverse process of the diffusion model as a novel policy function and leverages the capability of the diffusion model to fit multimodal distributions, thereby enhancing the representational capacity of the policy.
no code implementations • 15 Apr 2024 • YuXuan Jiang, Chen Feng, Fan Zhang, David Bull
Knowledge distillation (KD) has emerged as a promising technique in deep learning, typically employed to enhance a compact student network through learning from their high-performance but more complex teacher variant.
no code implementations • 31 Dec 2023 • YuXuan Jiang, Jakub Nawala, Fan Zhang, David Bull
Deep learning techniques have been applied in the context of image super-resolution (SR), achieving remarkable advances in terms of reconstruction performance.
no code implementations • 19 Dec 2023 • YuXuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, QIngwei Lin, Dongmei Zhang
This paper presents a thorough empirical study on the utilization of queries of KQL, a DSL employed for incident management in a large-scale cloud management system at Microsoft.
no code implementations • 4 Oct 2023 • Hao Sha, Yao Mu, YuXuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding
Existing learning-based autonomous driving (AD) systems face challenges in comprehending high-level information, generalizing to rare events, and providing interpretability.
no code implementations • 26 Sep 2023 • Zhiqian Lan, YuXuan Jiang, Yao Mu, Chen Chen, Shengbo Eben Li
Motion prediction is crucial for autonomous vehicles to operate safely in complex traffic environments.
no code implementations • 3 Jan 2021 • Shen Jia, Yulin Zhang, Yiming Mao, Jiawei Gao, Yixuan Chen, YuXuan Jiang, Haochen Luo, Kebo Lv, Jionglong Su
The biological functions in cancer development of 50 selected genes is also explored through enrichment analysis and the results show that 12 out of 16 of our top features have already been identified to be specific with cancer and we also propose some more genes to be tested for future studies.
no code implementations • 4 Dec 2020 • Guo-Yang Li, YuXuan Jiang, Yang Zheng, Weiqiang Xu, Zhaoyi Zhang, Yanping Cao
The results and methods reported in this study show the group velocity and dispersion relation of the guided waves can be adopted to probe BP and arterial stiffness noninvasively and thus promising for early diagnosis of the CVDs.
Medical Physics Soft Condensed Matter 74J05, 74L15, 92C50
no code implementations • 27 Apr 2016 • YuXuan Jiang, Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas
This paper presents a procedural generation method that creates visually attractive levels for the Angry Birds game.