no code implementations • 28 Jan 2024 • ZhiYuan Chen, Wei Lu, Radhika Bhong, Yimin Hu, Brian Freeman, Adam Carpenter
A stable, reliable, and controllable orbit lock system is crucial to an electron (or ion) accelerator because the beam orbit and beam energy instability strongly affect the quality of the beam delivered to experimental halls.
2 code implementations • 22 Aug 2023 • Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, ZhiYuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective.
1 code implementation • 5 Jun 2023 • Lei Wang, Jingsen Zhang, Hao Yang, ZhiYuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism of human decision process.
no code implementations • NeurIPS 2023 • Haitao Lin, Yufei Huang, Odin Zhang, Lirong Wu, Siyuan Li, ZhiYuan Chen, Stan Z. Li
In this way, however, it is hard to generate realistic fragments with complicated structures.
no code implementations • 30 Mar 2023 • Chunzhi Yi, Baichun Wei, Wei Jin, Jianfei Zhu, Seungmin Rho, ZhiYuan Chen, Feng Jiang
Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Metaverse.
6 code implementations • 7 Nov 2022 • Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di wu, ZhiYuan Chen, Jiangbin Zheng, Stan Z. Li
Notably, MogaNet hits 80. 0\% and 87. 8\% accuracy with 5. 2M and 181M parameters on ImageNet-1K, outperforming ParC-Net and ConvNeXt-L, while saving 59\% FLOPs and 17M parameters, respectively.
Ranked #1 on Pose Estimation on COCO val2017
no code implementations • 27 Oct 2022 • Varun Mandalapu, Lujie Karen Chen, Sushruta Shetty, ZhiYuan Chen, Jiaqi Gong
Firstly, most of the current work is course-centered (i. e. models are built from data for a specific course) rather than student-centered; secondly, a vast majority of the models are correlational rather than causal.
1 code implementation • CVPR 2022 • Lizhen Wang, ZhiYuan Chen, Tao Yu, Chenguang Ma, Liang Li, Yebin Liu
In the coarse module, we generate a base parametric model from large-scale RGB-D images, which is able to predict accurate rough 3D face models in different genders, ages, etc.
no code implementations • 7 Jan 2022 • Alvin Chaidrata, Mariyam Imtha Shafeeu, Sze Ker Chew, ZhiYuan Chen, Jin Sheng Cham, Zi Li Yong, Uen Hsieh Yap, Dania Imanina Binti Kamarul Bahrin
Customer service is the lifeblood of any business.
no code implementations • 30 Nov 2021 • ZhiYuan Chen, Xiaomin Fang, Zixu Hua, Yueyang Huang, Fan Wang, Hua Wu
Efficient exploration of the chemical space to search the candidate drugs that satisfy various constraints is a fundamental task of drug discovery.
1 code implementation • 27 Oct 2021 • Siyuan Li, Zicheng Liu, Zelin Zang, Di wu, ZhiYuan Chen, Stan Z. Li
For example, dimension reduction methods, t-SNE, and UMAP optimize pair-wise data relationships by preserving the global geometric structure, while self-supervised learning, SimCLR, and BYOL focus on mining the local statistics of instances under specific augmentations.
no code implementations • 16 Aug 2021 • Tianrui Chai, ZhiYuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, Yunhong Wang
Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task.
no code implementations • 24 Jun 2021 • Ee Fey Goh, ZhiYuan Chen, Wei Xiang Lim
The FDC and FDP layers are used to build a Frequency Domain Convolutional Neural Network (FDCNN) to accelerate the training of large images for DR classification.
no code implementations • 24 Jun 2021 • ZhiYuan Chen, Howe Seng Goh, Kai Ling Sin, Kelly Lim, Nicole Ka Hei Chung, Xin Yu Liew
The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques.
no code implementations • 24 Jun 2021 • Jia Wei Chong, ZhiYuan Chen, Mei Shin Oh
The performance of the proposed system has been evaluated by comparing with two robust baseline methods, BERT and BERT-CNN.
no code implementations • 21 May 2021 • ZhiYuan Chen, Guang Yao, Wennan Ma, Lin Xu
Our IDEAL with MS loss also achieves the new state-of-the-art performance on three image retrieval benchmarks, \ie, \emph{Cars-196}, \emph{CUB-200}, and \emph{SOP}.
2 code implementations • 24 Mar 2021 • Zicheng Liu, Siyuan Li, Di wu, Zihan Liu, ZhiYuan Chen, Lirong Wu, Stan Z. Li
Specifically, AutoMix reformulates the mixup classification into two sub-tasks (i. e., mixed sample generation and mixup classification) with corresponding sub-networks and solves them in a bi-level optimization framework.
Ranked #8 on Image Classification on Places205
1 code implementation • CVPR 2021 • Mingfei Chen, Yue Liao, Si Liu, ZhiYuan Chen, Fei Wang, Chen Qian
To attain this, we map a trainable interaction query set to an interaction prediction set with a transformer.
Ranked #29 on Human-Object Interaction Detection on HICO-DET (using extra training data)
no code implementations • 30 Dec 2020 • Le Dinh Van Khoa, ZhiYuan Chen
In this research, incremental learning approach with online support vector machines (SVMs) is presented, which aims to deal with LiDAR sensory data only.
no code implementations • 30 Dec 2020 • Wei Xiang Lim, ZhiYuan Chen, Amr Ahmed, Tissa Chandesa, Iman Liao
Diabetes is a global epidemic and it is increasing at an alarming rate.
no code implementations • 30 Dec 2020 • ZhiYuan Chen, Isa Dino, Nik Ahmad Akram
The selected best performing classifiers are combined together with SVM classifier (with SMO training algorithm) by using the stacking ensemble method which is to create an efficient ensemble predictive model that can handle the issue of imbalanced data.
2 code implementations • 13 Jun 2020 • Zhiyuan Chen, Annan Li, Shilu Jiang, Yunhong Wang
Video-based person re-identification (Re-ID) is an important computer vision task.
no code implementations • 21 Dec 2019 • Kasra Babaei, ZhiYuan Chen, Tomas Maul
The augmented data is used for training the OCC algorithms.
no code implementations • 5 Nov 2019 • Kasra Babaei, ZhiYuan Chen, Tomas Maul
Recently, density-based methods have shown promising results, particularly among which Local Outlier Factor (LOF) is arguably dominating.
no code implementations • 28 Mar 2019 • Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, ZhiYuan Chen, Tim Oates
In this paper, we proposeaprobabilistic abductive reasoningapproach that augments an exist-ing rule-based IDS (snort [29]) to detect these evolved attacks by (a)Predicting rule conditions that are likely to occur (based on existingrules) and (b) able to generate new snort rules when provided withseed rule (i. e. a starting rule) to reduce the burden on experts toconstantly update them.
no code implementations • 17 Jan 2019 • Zhiyuan Chen, Annan Li, Yunhong Wang
In this paper, we first tackle the problem of pedestrian attribute recognition by video-based approach.
no code implementations • 10 Aug 2018 • Fan Yang, ZhiYuan Chen
Machine learning models have been widely used in security applications such as intrusion detection, spam filtering, and virus or malware detection.
no code implementations • IJCNLP 2015 • Zhiyuan Chen, Nianzu Ma, Bing Liu
This paper proposes a novel lifelong learning (LL) approach to sentiment classification.