no code implementations • 15 Mar 2024 • Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke
Scientific literature often includes a wide range of multimodal elements, such as molecular structure, tables, and charts, which are hard for text-focused LLMs to understand and analyze.
no code implementations • 4 Mar 2024 • Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke
Recent breakthroughs in Large Language Models (LLMs) have revolutionized natural language understanding and generation, igniting a surge of interest in leveraging these technologies in the field of scientific literature analysis.
1 code implementation • 21 Jan 2024 • Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang
Representation learning is all about discovering the hidden modular attributes that generate the data faithfully.
no code implementations • 19 Dec 2023 • Xiaodan Zhang, Sandeep Vemulapalli, Nabasmita Talukdar, Sumyeong Ahn, Jiankun Wang, Han Meng, Sardar Mehtab Bin Murtaza, Aakash Ajay Dave, Dmitry Leshchiner, Dimitri F. Joseph, Martin Witteveen-Lane, Dave Chesla, Jiayu Zhou, Bin Chen
This study assesses the ability of state-of-the-art large language models (LLMs) including GPT-3. 5, GPT-4, Falcon, and LLaMA 2 to identify patients with mild cognitive impairment (MCI) from discharge summaries and examines instances where the models' responses were misaligned with their reasoning.
no code implementations • 25 Sep 2023 • Zhengxuan Qiu, Jie Yang, Jiankun Wang
In the MMA-Net, we first feed spine X-ray images into the segmentation network to produce multiple morphological information (spine region, centerline, and boundary) and then concatenate the original X-ray image with the resulting segmentation maps as input for the regression module to perform precise Cobb angle measurement.
no code implementations • 28 Aug 2023 • Yemin li, Zhongcheng Liu, Xiaoying Lou, Mirigual Kurban, Miao Li, Jie Yang, Kaiwei Che, Jiankun Wang, Max Q. -H Meng, Yan Huang, Qin Guo, Pinjin Hu
A total of 5105 images of 154 intestinal segments from 87 patients undergoing EC treatment at a center in China between March 2022 and March 2023 are scored according to the Geboes score.
1 code implementation • 18 Sep 2021 • Fan Bai, Fei Meng, Jianbang Liu, Jiankun Wang, Max Q. -H. Meng
Non-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping.
no code implementations • 6 Aug 2021 • Kaiwei Che, Chengwei Ye, Yibing Yao, Nachuan Ma, Ruo Zhang, Jiankun Wang, Max Q. -H. Meng
Second, a ResNet-101 based network is used to detect three biological anatomical landmarks separately to obtain the intermediate detection results.
1 code implementation • 3 Apr 2021 • HaoChih Lin, Baopu Li, Xin Zhou, Jiankun Wang, Max Q. -H. Meng
Interactions with either environments or expert policies during training are needed for most of the current imitation learning (IL) algorithms.
no code implementations • 7 Dec 2020 • Zhaoting Li, Jiankun Wang, Max Q. -H. Meng
To address this issue, we present a novel recurrent generative model (RGM) which generates efficient heuristic to reduce the search efforts of path planning algorithm.
1 code implementation • 7 Dec 2020 • Tianyi Zhang, Jiankun Wang, Max Q. -H. Meng
Sampling-based path planning is a popular methodology for robot path planning.
no code implementations • 6 Dec 2020 • Nachuan Ma, Jiankun Wang, Max Q. -H. Meng
Path planning plays an important role in autonomous robot systems.
1 code implementation • 20 Jan 2020 • Keyu Li, Yangxin Xu, Jiankun Wang, Max Q.-H. Meng
In a human-robot coexisting environment, reaching the goal position safely and efficiently is essential for a mobile service robot.