Search Results for author: Ziyu Guan

Found 20 papers, 8 papers with code

Reliable Conflictive Multi-View Learning

1 code implementation24 Feb 2024 Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao

To solve this, we point out a new Reliable Conflictive Multi-view Learning (RCML) problem, which requires the model to provide decision results and attached reliabilities for conflictive multi-view data.

MULTI-VIEW LEARNING

NodeMixup: Tackling Under-Reaching for Graph Neural Networks

1 code implementation20 Dec 2023 Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin

However, due to the uneven location distribution of labeled nodes in the graph, labeled nodes are only accessible to a small portion of unlabeled nodes, leading to the \emph{under-reaching} issue.

Node Classification

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions

no code implementations29 Sep 2023 Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang, Xiaofei He

Recent works considering professional legal-linguistic style (PLLS) texts have shown promising results on the charge prediction task.

Domain Adaptation

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning

no code implementations19 Feb 2023 Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, DaCheng Tao

Pseudo Labeling is a technique used to improve the performance of semi-supervised Graph Neural Networks (GNNs) by generating additional pseudo-labels based on confident predictions.

Contrastive Learning Data Augmentation

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

1 code implementation19 Oct 2022 Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang

The two modules can effectively utilize and enhance each other, promoting the model to learn discriminative embeddings.

Clustering

Entropy Induced Pruning Framework for Convolutional Neural Networks

no code implementations13 Aug 2022 Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng

By leveraging the proposed AFIE, the proposed framework is able to yield a stable importance evaluation of each filter no matter whether the original model is trained fully.

Image Classification

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks

no code implementations22 Dec 2021 Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, DaCheng Tao

In this paper, we conduct theoretical and experimental analysis to explore the fundamental causes of performance degradation in deep GCNs: over-smoothing and gradient vanishing have a mutually reinforcing effect that causes the performance to deteriorate more quickly in deep GCNs.

Link Prediction Node Classification

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

4 code implementations28 Aug 2021 Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, DaCheng Tao

The experimental results provide sound empirical evidence on the superiority of learning from diverse animals species in terms of both accuracy and generalization ability.

Animal Pose Estimation Domain Generalization +1

Keypoint-Graph-Driven Learning Framework for Object Pose Estimation

no code implementations CVPR 2021 Shaobo Zhang, Wanqing Zhao, Ziyu Guan, Xianlin Peng, Jinye Peng

Hence, we propose to use the domain-invariant geometry structure among keypoints as a "bridge" constraint to optimize DAKDN for 6D pose estimation across domains.

6D Pose Estimation Domain Adaptation +1

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

no code implementations8 Jun 2021 Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng

Although a few studies use multi-agent reinforcement learning to set up a cooperative game, they still suffer the following drawbacks: (1) They fail to avoid collusion solutions where all the advertisers involved in an auction collude to bid an extremely low price on purpose.

Model Optimization Multi-agent Reinforcement Learning

Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction

no code implementations18 May 2021 Ruijing Yang, Ziyu Guan, Zitong Yu, Xiaoyi Feng, Jinye Peng, Guoying Zhao

The framework is able to capture both local and long-range dependencies via the proposed attention mechanism for the learned appearance representations, which are further enriched by temporally attended physiological cues (remote photoplethysmography, rPPG) that are recovered from videos in the auxiliary task.

Medical Diagnosis Multi-Task Learning

Interpretable and Efficient Heterogeneous Graph Convolutional Network

1 code implementation27 May 2020 Yaming Yang, Ziyu Guan, Jian-Xin Li, Wei Zhao, Jiangtao Cui, Quan Wang

However, regarding Heterogeneous Information Network (HIN), existing HIN-oriented GCN methods still suffer from two deficiencies: (1) they cannot flexibly explore all possible meta-paths and extract the most useful ones for a target object, which hinders both effectiveness and interpretability; (2) they often need to generate intermediate meta-path based dense graphs, which leads to high computational complexity.

Object

IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

1 code implementation24 Jul 2019 Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He

In this work, we collect abundant relationships from common user behaviors and item information, and propose a novel framework named IntentGC to leverage both explicit preferences and heterogeneous relationships by graph convolutional networks.

Network Embedding

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

1 code implementation24 Jun 2019 Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

A novel query-based interactive recommender system is proposed in this paper, where \textbf{personalized questions are accurately generated from millions of automatically constructed questions} in Step 1, and \textbf{the recommendation is ensured to be closely-related to users' feedback} in Step 2.

Recommendation Systems Retrieval

Addressing the Item Cold-start Problem by Attribute-driven Active Learning

no code implementations23 May 2018 Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

Both content information (e. g. item attributes) and initial user ratings are valuable for seizing users' preferences on a new item.

Active Learning Attribute +2

A Brand-level Ranking System with the Customized Attention-GRU Model

no code implementations23 May 2018 Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance to the quality of products and brand is an indicator of quality.

Feature Engineering

An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective

no code implementations EMNLP 2017 Jie Zhao, Yu Su, Ziyu Guan, Huan Sun

Given a question and a set of answer candidates, answer triggering determines whether the candidate set contains any correct answers.

Multiple Instance Learning Question Answering

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