no code implementations • 23 Apr 2024 • Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Meanwhile, graphs, especially knowledge graphs, are rich in reliable factual knowledge, which can be utilized to enhance the reasoning capabilities of LLMs and potentially alleviate their limitations such as hallucinations and the lack of explainability.
no code implementations • 15 Mar 2024 • Yu Du, Yu Song, Ce Guo, Xiaojing Tian, Dong Liu, Ming Cong
Due to their complex spatial structure and diverse geometric features, achieving high-precision and robust point cloud registration for complex Die Castings has been a significant challenge in the die-casting industry.
no code implementations • 31 Oct 2023 • Peng Jia, Jiameng Lv, Runyu Ning, Yu Song, Nan Li, Kaifan Ji, Chenzhou Cui, Shanshan Li
Large-scale astronomical surveys can capture numerous images of celestial objects, including galaxies and nebulae.
1 code implementation • 12 Oct 2023 • Yu Song, Santiago Miret, huan zhang, Bang Liu
We propose an instruction-based process for trustworthy data curation in materials science (MatSci-Instruct), which we then apply to finetune a LLaMa-based language model targeted for materials science (HoneyBee).
1 code implementation • 13 Aug 2023 • Yu Song, Donglin Wang
Graph Neural Networks (GNNs) are state-of-the-art models for performing prediction tasks on graphs.
no code implementations • 23 Jul 2023 • Farzam Tajdari, Toon Huysmans, Xinhe Yao, Jun Xu, Yu Song
4D scans of dynamic deformable human body parts help researchers have a better understanding of spatiotemporal features.
1 code implementation • 24 May 2023 • Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, JiaQi Zhang, Jie Wang, Yunzhu Pan
If yes, we benchmark these existing adapters, which have been shown to be effective in NLP and CV tasks, in item recommendation tasks.
1 code implementation • 14 May 2023 • Yu Song, Santiago Miret, Bang Liu
Our experiments in this low-resource training setting show that language models pretrained on scientific text outperform BERT trained on general text.
no code implementations • 14 Apr 2023 • Jiahua Dong, Guohua Cheng, Yue Zhang, Chengtao Peng, Yu Song, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen
Multi-organ segmentation, which identifies and separates different organs in medical images, is a fundamental task in medical image analysis.
1 code implementation • 24 Mar 2023 • Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
In fact, this question was answered ten years ago when IDRec beats MoRec by a strong margin in both recommendation accuracy and efficiency.
no code implementations • 22 Feb 2023 • Yu Song, Madhav V. Chitturi, David A. Noyce
Two encoding schemes and five optimal matching based dissimilarity measures were compared by evaluating the sequence clustering results.
no code implementations • 16 Nov 2022 • Zhe Wang, Yongxiong Wang, Chuanfei Hu, Zhong Yin, Yu Song
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition.
no code implementations • 11 Nov 2022 • Peng Jia, Ruiqi Sun, Nan Li, Yu Song, Runyu Ning, Hongyan Wei, Rui Luo
We embed prior information of strongly lensed arcs at cluster-scale into the training data through simulation and then train the detection algorithm with simulated images.
no code implementations • 22 Feb 2022 • Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun
The semi-black-box acceptance probability model is employed to forecast the relationship between the bonus allocated to order and its acceptance probability, the Lagrangian dual-based dynamic programming algorithm aims to calculate the empirical Lagrangian multiplier for each allocation stage offline based on the historical data set, and the online allocation algorithm uses the results attained in the offline part to calculate a proper delivery bonus for each order.
1 code implementation • 19 Oct 2021 • Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
Then we propose a hierarchical CB (HCB) algorithm to explore users' interest in the hierarchy tree.
no code implementations • 29 Sep 2021 • Yu Song, Shan Lu, Dehong Qiu
The key idea is node classification can benefit from various variants of the original graph that are more efficient for message propagation, based upon the assumption that each variant is a potential structure as more nodes are properly labeled.
no code implementations • 22 Feb 2021 • Feng Du, Shuaishuai Luo, Brenden R. Ortiz, Ye Chen, Weiyin Duan, Dongting Zhang, Xin Lu, Stephen D. Wilson, Yu Song, Huiqiu Yuan
Beyond $p\approx10$ GPa, a second superconducting dome emerges with maximum $T_{\rm c}\approx1. 0$ K at $p_{\rm c2}\approx22$ GPa, which becomes fully suppressed at $p\approx28$ GPa.
Superconductivity
no code implementations • ICCV 2021 • Wuwei Ge, Yu Song, Baichao Zhang, Zehua Dong
This paper proves that the volume of the space that just contains all MF rotations (called the "MFR space") is only 1 / 24 of that of the whole rotation space, and then an exact MFR space is delimited from the rotation space.
no code implementations • 21 May 2020 • Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A Lange
The standard petrography test method for measuring air voids in concrete (ASTM C457) requires a meticulous and long examination of sample phase composition under a stereomicroscope.
no code implementations • 29 Apr 2020 • Boya Ouyang, Yuhai Li, Yu Song, Feishu Wu, Huizi Yu, Yongzhe Wang, Mathieu Bauchy, Gaurav Sant
Here, based on the analysis of a large dataset (>10, 000 observations) of measured compressive strengths from industrially-produced concretes, we compare the ability of select ML algorithms to "learn" how to reliably predict concrete strength as a function of the size of the dataset.
no code implementations • 8 Jan 2019 • Yu Song, Shengping Gong
In the preliminary trajectory design of the multi-target rendezvous problem, a model that can quickly estimate the cost of the orbital transfer is essential.
no code implementations • 21 Mar 2017 • Shichao Yang, Yu Song, Michael Kaess, Sebastian Scherer
In this paper, we propose real-time monocular plane SLAM to demonstrate that scene understanding could improve both state estimation and dense mapping especially in low-texture environments.
no code implementations • 24 Oct 2016 • Yu Song, Yiquan Wu
This problem is solved in the low rank subspace clustering model which decomposes the corrupted data matrix as the sum of a clean and self-expressive dictionary plus a matrix of noise and gross errors.
no code implementations • 12 Oct 2016 • Yu Song, Yiquan Wu
Subspace clustering refers to the problem of segmenting a set of data points approximately drawn from a union of multiple linear subspaces.