no code implementations • 19 Apr 2024 • Yang Ye, Shihao Ji
This paper proposes GDPNet, the first hybrid Generative and Discriminative PointNet that extends JEM for point cloud classification and generation.
2 code implementations • 29 Jan 2024 • Bin Lin, Zhenyu Tang, Yang Ye, Jiaxi Cui, Bin Zhu, Peng Jin, Jinfa Huang, Junwu Zhang, Munan Ning, Li Yuan
In this work, we propose a simple yet effective training strategy MoE-Tuning for LVLMs.
Ranked #58 on Visual Question Answering on MM-Vet
4 code implementations • 16 Nov 2023 • Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan
In this work, we unify visual representation into the language feature space to advance the foundational LLM towards a unified LVLM.
Ranked #4 on Zero-Shot Video Question Answer on TGIF-QA
no code implementations • 13 Oct 2023 • Jiaohao Wu, Yang Ye, Jing Du
Drones are vital for urban emergency search and rescue (SAR) due to the challenges of navigating dynamic environments with obstacles like buildings and wind.
no code implementations • 29 May 2023 • Mingchen Li, Yang Ye, Jeremy Yeung, Huixue Zhou, Huaiyuan Chu, Rui Zhang
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER).
no code implementations • 25 Apr 2023 • Yang Ye, Hengxu You, Jing Du
A human-subject experiment showed that incorporating ChatGPT in robots significantly increased trust in human-robot collaboration, which can be attributed to the robot's ability to communicate more effectively with humans.
no code implementations • 21 Apr 2023 • Hengxu You, Yang Ye, Tianyu Zhou, Qi Zhu, Jing Du
To expand the ability of the current robot system in sequential understanding, this paper introduces RoboGPT, a novel system that leverages the advanced reasoning capabilities of ChatGPT, a large language model, for automated sequence planning in robot-based assembly applied to construction tasks.
1 code implementation • 11 Oct 2022 • Yang Ye, Xiulong Yang, Shihao Ji
Traditional task-agnostic sampling methods, such as farthest point sampling (FPS), do not consider downstream tasks when sampling point clouds, and thus non-informative points to the tasks are often sampled.
1 code implementation • 16 Apr 2022 • Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye
Thus, in this paper, we propose a Hierarchical N-Gram framework for Zero-Shot Link Prediction (HNZSLP), which considers the dependencies among character n-grams of the relation surface name for ZSLP.
no code implementations • 29 Jan 2021 • Yang Ye, Qingpeng Zhang, Zhidong Cao, Frank Youhua Chen, Houmin Yan, H. Eugene Stanley, Daniel Dajun Zeng
The threshold model captures the shortage contagion on the global PPE trade network.
Physics and Society
1 code implementation • 1 Jan 2021 • Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji
We show that our Generative MMC (GMMC) can be trained discriminatively, generatively, or jointly for image classification and generation.
1 code implementation • 30 Aug 2020 • Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai
In this paper, we propose Adversarial Privacy Graph Embedding (APGE), a graph adversarial training framework that integrates the disentangling and purging mechanisms to remove users' private information from learned node representations.
1 code implementation • 2 Dec 2019 • Yang Ye, Shihao Ji
Among the variants of GNNs, Graph Attention Networks (GATs) learn to assign dense attention coefficients over all neighbors of a node for feature aggregation, and improve the performance of many graph learning tasks.