Search Results for author: Zhenyu Guo

Found 13 papers, 4 papers with code

PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction and Forecasting via Prompt Token Tuning

no code implementations7 Nov 2023 Hao liu, Jinrui Gan, Xiaoxuan Fan, Yi Zhang, Chuanxian Luo, Jing Zhang, Guangxin Jiang, Yucheng Qian, Changwei Zhao, Huan Ma, Zhenyu Guo

In this paper, we first point out that the unification of task objectives and adaptation for task difficulty are critical for bridging the gap between time series masked reconstruction and forecasting.

Representation Learning Self-Supervised Learning +1

Multi-modal Graph Learning for Disease Prediction

1 code implementation11 Mar 2022 Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yuchen Yang, Yao Zhao

For disease prediction tasks, most existing graph-based methods tend to define the graph manually based on specified modality (e. g., demographic information), and then integrated other modalities to obtain the patient representation by Graph Representation Learning (GRL).

Disease Prediction Graph Learning +1

CETransformer: Casual Effect Estimation via Transformer Based Representation Learning

no code implementations19 Jul 2021 Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu

Treatment effect estimation, which refers to the estimation of causal effects and aims to measure the strength of the causal relationship, is of great importance in many fields but is a challenging problem in practice.

counterfactual Representation Learning +1

Enhancing Balanced Graph Edge Partition with Effective Local Search

no code implementations17 Dec 2020 Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan

The graph edge partition problem, which is to split the edge set into multiple balanced parts to minimize the total number of copied vertices, has been widely studied from the view of optimization and algorithms.

Novel Concepts

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

1 code implementation23 Nov 2020 Xuhong Wang, Ding Lyu, Mengjian Li, Yang Xia, Qi Yang, Xinwen Wang, Xinguang Wang, Ping Cui, Yupu Yang, Bowen Sun, Zhenyu Guo

Limited by the time complexity of querying k-hop neighbors in a graph database, most graph algorithms cannot be deployed online and execute millisecond-level inference.

Fraud Detection Graph Embedding

Distributed Equivalent Substitution Training for Large-Scale Recommender Systems

no code implementations10 Sep 2019 Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang

We present Distributed Equivalent Substitution (DES) training, a novel distributed training framework for large-scale recommender systems with dynamic sparse features.

Recommendation Systems

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

no code implementations30 Jul 2018 Xianyan Jia, Shutao Song, wei he, Yangzihao Wang, Haidong Rong, Feihu Zhou, Liqiang Xie, Zhenyu Guo, Yuanzhou Yang, Liwei Yu, Tiegang Chen, Guangxiao Hu, Shaohuai Shi, Xiaowen Chu

(3) We propose highly optimized all-reduce algorithms that achieve up to 3x and 11x speedup on AlexNet and ResNet-50 respectively than NCCL-based training on a cluster with 1024 Tesla P40 GPUs.

Playing the Game of 2048 Test

An Adaptive Descriptor Design for Object Recognition in the Wild

no code implementations1 May 2013 Zhenyu Guo, Z. Jane Wang

These 'picture styles' are directly related to the scene radiance, image pipeline of the camera, and post processing functions.

Domain Adaptation Object +1

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