no code implementations • 22 May 2024 • Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
The success of current Large-Language Models (LLMs) hinges on extensive training data that is collected and stored centrally, called Centralized Learning (CL).
no code implementations • 17 Apr 2024 • Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
The dataset is created with GPT-4 to extend the abstract concept to a scene and concrete objects.
no code implementations • 19 Mar 2024 • Mengxian Lyu, Cheng Peng, Xiaohan Li, Patrick Balian, Jiang Bian, Yonghui Wu
We examined the prompt-tuning strategies, the size of soft prompts, and the few-short learning ability of GatorTronGPT, a generative clinical LLM developed using 277 billion clinical and general English words with up to 20 billion parameters.
no code implementations • 29 Feb 2024 • Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, Kannan Achan
Product attribute value extraction is a pivotal component in Natural Language Processing (NLP) and the contemporary e-commerce industry.
1 code implementation • 16 Nov 2023 • Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
The users' group participation on social platforms reveals their interests and can be utilized as side information to mitigate the data sparsity and cold-start problem in recommender systems.
no code implementations • 22 Aug 2023 • Zheng Liu, Xiaohan Li, Philip Yu
The fairness issue of clinical data modeling, especially on Electronic Health Records (EHRs), is of utmost importance due to EHR's complex latent structure and potential selection bias.
no code implementations • 25 Jul 2023 • Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li
The pioneer work PointNet has been widely applied as a local feature descriptor, a fundamental component in deep learning models for 3D perception, to extract features of a point cloud.
no code implementations • 14 Jul 2023 • Chuanyu Luo, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li
Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception.
no code implementations • 17 May 2023 • Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, Kannan Achan
Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce system performance by providing structured information about entities and their relationships, such as complementary or substitutable relations between products or product types, which can be utilized in recommender systems.
no code implementations • 12 Apr 2023 • Xiaohan Li, Gaowei Zhang, Kai Huang, Zhaofeng He
Sea surface temperature (SST) is uniquely important to the Earth's atmosphere since its dynamics are a major force in shaping local and global climate and profoundly affect our ecosystems.
no code implementations • 10 Jan 2023 • Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
TA-HGAT is built in a hyperbolic space to learn the hierarchical structure of session graphs.
no code implementations • 16 Nov 2022 • Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip Yu, Kannan Achan
Considering the influence of historical purchases on users' future interests, the user and item representations can be viewed as unobserved confounders in the causal diagram.
no code implementations • 28 Oct 2022 • Zheng Liu, Xiaohan Li, Philip Yu
First, these methods usually mean a trade-off between the model's performance and fairness.
no code implementations • 30 Jan 2022 • Chuanyu Luo, Xiaohan Li, Nuo Cheng, Han Li, Shengguang Lei, Pu Li
The pipeline of most pointwise point cloud semantic segmentation methods includes points sampling, neighbor searching, feature aggregation, and classification.
no code implementations • 28 Nov 2021 • Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
In this paper, we propose a novel Reinforced Attentive Multi-relational Graph Neural Network (RAM-GNN) to the pre-train user and item embeddings on the user and item graph prior to the recommendation step.
no code implementations • 17 Jan 2021 • Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
EHRs contain multiple entities and relations and can be viewed as a heterogeneous graph.
1 code implementation • 8 Jan 2021 • Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
Here we propose Dynamic Graph Collaborative Filtering (DGCF), a novel framework leveraging dynamic graphs to capture collaborative and sequential relations of both items and users at the same time.
1 code implementation • 22 Oct 2020 • Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu
The problem of basket recommendation~(BR) is to recommend a ranking list of items to the current basket.
no code implementations • 3 Jun 2016 • Wenshuo Wang, Junqiang Xi, Xiaohan Li
Driving styles have a great influence on vehicle fuel economy, active safety, and drivability.