1 code implementation • 26 Mar 2022 • Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang
This paper detailed the engineering system implementation of an automated machine learning system called YMIR, which completely relies on graphical interface to interact with users.
2 code implementations • ACL 2022 • Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang
Adversarial robustness has attracted much attention recently, and the mainstream solution is adversarial training.
no code implementations • 28 May 2021 • Jingyi Liu, Zhongyu Li, Xiayue Fan, Jintao Yan, Bolin Li, Xuemeng Hu, Qing Xia, Yue Wu
Subsequently, a novel deep neural network, namely CRT-Net, is designed for the fine-grained and comprehensive representation and recognition of 1-D ECG signals.
no code implementations • 3 Jul 2022 • Lin Li, Jingyi Liu, Shuo Wang, Xunkun Wang, Tian-Zhu Xiang
Trichomoniasis is a common infectious disease with high incidence caused by the parasite Trichomonas vaginalis, increasing the risk of getting HIV in humans if left untreated.
no code implementations • 11 May 2023 • Ting Wu, Jingyi Liu, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
The principle of continual relation extraction~(CRE) involves adapting to emerging novel relations while preserving od knowledge.
no code implementations • 24 Sep 2023 • Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, YanJie Li
Instead of searching for expressions within a large search space, we explore DySymNet with various structures and optimize them to identify expressions that better-fitting the data.
no code implementations • 24 Jan 2024 • YanJie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng
To optimize the trade-off between efficiency and versatility, we introduce SR-GPT, a novel algorithm for symbolic regression that integrates Monte Carlo Tree Search (MCTS) with a Generative Pre-Trained Transformer (GPT).
1 code implementation • 25 Jan 2024 • Min Wu, Weijun Li, Lina Yu, Wenqiang Li, Jingyi Liu, YanJie Li, Meilan Hao
Therefore, a greedy pruning algorithm is proposed to prune the network into a subnetwork while ensuring the accuracy of data fitting.
no code implementations • 28 Feb 2024 • YanJie Li, Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Wenqiang Li, Meilan Hao, Su Wei, Yusong Deng
The SR problem is solved as a pure multimodal problem, and contrastive learning is also introduced in the training process for modal alignment to facilitate later modal feature fusion.
no code implementations • 9 Apr 2024 • YanJie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng
However, its performance is very dependent on the training data and performs poorly on data outside the training set, which leads to poor noise robustness and Versatility of such methods.