Search Results for author: Ziyu Guan

Found 12 papers, 4 papers with code

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

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.

Multi-agent Reinforcement Learning Platform

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

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

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.

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.

Platform Recommendation Systems

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 Platform

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 Recommendation Systems

Deep Reinforcement Learning for Sponsored Search Real-time Bidding

no code implementations1 Mar 2018 Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He

In this paper, we consider the RTB problem in sponsored search auction, named SS-RTB.


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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