Search Results for author: Zhipeng Huang

Found 11 papers, 2 papers with code

A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation

no code implementations4 Nov 2022 Zhipeng Huang, Kevin S. Xu

We propose to model HLA compatibility using a network, where the nodes denote different HLAs of the donor and recipient, and edge weights denote compatibilities of the HLAs, which can be positive or negative.

Survival Analysis

A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks

1 code implementation19 May 2022 Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu

Networks and temporal point processes serve as fundamental building blocks for modeling complex dynamic relational data in various domains.

Point Processes

Deep Frequency Filtering for Domain Generalization

no code implementations CVPR 2023 Shiqi Lin, Zhizheng Zhang, Zhipeng Huang, Yan Lu, Cuiling Lan, Peng Chu, Quanzeng You, Jiang Wang, Zicheng Liu, Amey Parulkar, Viraj Navkal, Zhibo Chen

Improving the generalization ability of Deep Neural Networks (DNNs) is critical for their practical uses, which has been a longstanding challenge.

Domain Generalization Retrieval

Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification

no code implementations3 Mar 2022 Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha

In this paper, we propose a novel Debiased Batch Normalization via Gaussian Process approach (GDNorm) for generalizable person re-identification, which models the feature statistic estimation from BN layers as a dynamically self-refining Gaussian process to alleviate the bias to unseen domain for improving the generalization.

Generalizable Person Re-identification Representation Learning

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification

no code implementations3 Mar 2022 Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha

RGB-infrared person re-identification is an emerging cross-modality re-identification task, which is very challenging due to significant modality discrepancy between RGB and infrared images.

Person Re-Identification

Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification

no code implementations7 May 2021 Jiawei Liu, Zhipeng Huang, Kecheng Zheng, Dong Liu, Xiaoyan Sun, Zheng-Jun Zha

It describes unseen target domain as a combination of the known source ones, and explicitly learns domain-specific representation with target distribution to improve the model's generalization by a meta-learning pipeline.

Generalizable Person Re-identification Meta-Learning

Quantum droplets in two-dimensional optical lattices

no code implementations15 Sep 2020 Yiyin Zheng, Shantong Chen, Zhipeng Huang, Shixuan Dai, Bin Liu, Yongyao Li, Shurong Wang

We study the stability of zero-vorticity and vortex lattice quantum droplets (LQDs), which are described by a two-dimensional (2D) Gross-Pitaevskii (GP) equation with a periodic potential and Lee-Huang-Yang (LHY) term.

Pattern Formation and Solitons Quantum Physics

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

no code implementations11 Sep 2018 Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu

Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks, where a meta-graph is a composition of meta-paths that captures the complex structural information.

Network Embedding Tensor Decomposition

Heterogeneous Information Network Embedding for Meta Path based Proximity

no code implementations19 Jan 2017 Zhipeng Huang, Nikos Mamoulis

A network embedding is a representation of a large graph in a low-dimensional space, where vertices are modeled as vectors.

Network Embedding

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