Search Results for author: Yinan Zhang

Found 15 papers, 4 papers with code

Enabling Patient-side Disease Prediction via the Integration of Patient Narratives

1 code implementation5 May 2024 Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao, Zhiqi Shen

Disease prediction holds considerable significance in modern healthcare, because of its crucial role in facilitating early intervention and implementing effective prevention measures.

Disease Prediction

Large-scale Reinforcement Learning for Diffusion Models

no code implementations20 Jan 2024 Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk

Text-to-image diffusion models are a class of deep generative models that have demonstrated an impressive capacity for high-quality image generation.

Diversity Ethics +4

Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference

no code implementations29 Jun 2022 Yinan Zhang, Boyang Li, Yong liu, You Yuan, Chunyan Miao

Multi-shot CRS is designed to make recommendations multiple times until the user either accepts the recommendation or leaves at the end of their patience.

Attribute Reinforcement Learning (RL)

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator

no code implementations15 Jun 2022 Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosič, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec

To model complex reservoir dynamics at both local and global scale, HGNS consists of a subsurface graph neural network (SGNN) to model the evolution of fluid flows, and a 3D-U-Net to model the evolution of pressure.

Decision Making Graph Neural Network

IA-GCN: Interactive Graph Convolutional Network for Recommendation

1 code implementation8 Apr 2022 Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

In this work, we address this problem by building bilateral interactive guidance between each user-item pair and proposing a new model named IA-GCN (short for InterActive GCN).

Collaborative Filtering Recommendation Systems

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

no code implementations9 Jun 2021 Yinan Zhang, Boyang Li, Yong liu, Hao Wang, Chunyan Miao

In this work, we propose a new initialization scheme for user and item embeddings called Laplacian Eigenmaps with Popularity-based Regularization for Isolated Data (LEPORID).

Recommendation Systems

Neural Radiance Flow for 4D View Synthesis and Video Processing

1 code implementation ICCV 2021 Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

We present a method, Neural Radiance Flow (NeRFlow), to learn a 4D spatial-temporal representation of a dynamic scene from a set of RGB images.

Image Super-Resolution Temporal View Synthesis

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering

no code implementations ICLR 2021 Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler

Key to our approach is to exploit GANs as a multi-view data generator to train an inverse graphics network using an off-the-shelf differentiable renderer, and the trained inverse graphics network as a teacher to disentangle the GAN's latent code into interpretable 3D properties.

Neural Rendering

Learning Hierarchical Review Graph Representations for Recommendation

no code implementations24 Apr 2020 Yong liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang

Therefore, they may not be effective in capturing the global dependency between words, and tend to be easily biased by noise review information.

Graph Attention Graph Neural Network

Towards a Soft Faceted Browsing Scheme for Information Access

no code implementations20 Feb 2020 Yinan Zhang, Parikshit Sondhi, Anjan Goswami, ChengXiang Zhai

Faceted browsing is a commonly supported feature of user interfaces for access to information.

Navigate

Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks

no code implementations7 Nov 2019 Yinan Zhang, Raphael Tang, Jimmy Lin

In this paper, we hypothesize that introducing an explicit, constrained pairwise word interaction mechanism to pretrained language models improves their effectiveness on semantic similarity tasks.

Semantic Similarity Semantic Textual Similarity +1

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation

no code implementations19 Mar 2019 Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan

Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years.

Diversity Recommendation Systems +2

Towards Physically Safe Reinforcement Learning under Supervision

no code implementations19 Jan 2019 Yinan Zhang, Devin Balkcom, Haoxiang Li

A weighted average of the supervisor and learned policies is used during trials, with a heavier weight initially on the supervisor, in order to allow safe and useful physical trials while the learned policy is still ineffective.

OpenAI Gym reinforcement-learning +2

Reductive Clustering: An Efficient Linear-time Graph-based Divisive Cluster Analysis Approach

no code implementations21 Jun 2018 Ching Tarn, Yinan Zhang, Ye Feng

First a subset of vertices of the graph are selected as representatives to build a concise graph.

Clustering

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