Search Results for author: Yan Zheng

Found 36 papers, 7 papers with code

Relational Representation Learning in Visually-Rich Documents

no code implementations5 May 2022 Xin Li, Yan Zheng, Yiqing Hu, Haoyu Cao, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Bo Ren

To deal with the unpredictable definition of relations, we propose a novel contrastive learning task named Relational Consistency Modeling (RCM), which harnesses the fact that existing relations should be consistent in differently augmented positive views.

Contrastive Learning Key information extraction +1

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

no code implementations6 Apr 2022 Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

In online adaptation phase, with the environment context inferred from few experiences collected in new environments, the policy is optimized by gradient ascent with respect to the PDVF.

Contrastive Learning Decision Making

Revealing Reliable Signatures by Learning Top-Rank Pairs

no code implementations17 Mar 2022 Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida

Signature verification, as a crucial practical documentation analysis task, has been continuously studied by researchers in machine learning and pattern recognition fields.


Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework

no code implementations19 Jan 2022 Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei zhang

With these metrics, one can easily identify meta-features with the most complementary behaviors in two classifiers, and use them to better ensemble the classifiers.

ED2: An Environment Dynamics Decomposition Framework for World Model Construction

1 code implementation6 Dec 2021 Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun

To reduce the model error, previous works use a single well-designed network to fit the entire environment dynamics, which treats the environment dynamics as a black box.

Model-based Reinforcement Learning

Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning

no code implementations19 Nov 2021 Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng

Such a reconstruction exploits the underlying structure of value matrix to improve the value approximation, thus leading to a more efficient learning process of value function.

Continuous Control reinforcement-learning

OVD-Explorer: A General Information-theoretic Exploration Approach for Reinforcement Learning

no code implementations29 Sep 2021 Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Junjie Ye, Chenjia Bai, Pengyi Li

Many exploration strategies are built upon the optimism in the face of the uncertainty (OFU) principle for reinforcement learning.


Embedding Compression with Hashing for Efficient Representation Learning in Graph

no code implementations29 Sep 2021 Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei zhang

When applying such type of networks on graph without node feature, one can extract simple graph-based node features (e. g., number of degrees) or learn the input node representation (i. e., embeddings) when training the network.

Representation Learning

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks

no code implementations21 Sep 2021 Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei zhang

In this work, we study the problem of multivariate time series prediction for estimating transaction metrics associated with entities in the payment transaction database.

Time Series Time Series Prediction

Towards Book Cover Design via Layout Graphs

1 code implementation24 May 2021 Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana

Book covers are intentionally designed and provide an introduction to a book.

Normalization of Language Embeddings for Cross-Lingual Alignment

1 code implementation NeurIPS 2021 Prince Osei Aboagye, Jeff Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei zhang, Liang Wang, Hao Yang

Learning a good transfer function to map the word vectors from two languages into a shared cross-lingual word vector space plays a crucial role in cross-lingual NLP.


VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations

1 code implementation6 Apr 2021 Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei zhang, Bei Wang

To aid this, we present Visualization of Embedding Representations for deBiasing system ("VERB"), an open-source web-based visualization tool that helps the users gain a technical understanding and visual intuition of the inner workings of debiasing techniques, with a focus on their geometric properties.

Decision Making Dimensionality Reduction +2

MQES: Max-Q Entropy Search for Efficient Exploration in Continuous Reinforcement Learning

no code implementations1 Jan 2021 Jinyi Liu, Zhi Wang, Jianye Hao, Yan Zheng

Recently, the principle of optimism in the face of (aleatoric and epistemic) uncertainty has been utilized to design efficient exploration strategies for Reinforcement Learning (RL).

Efficient Exploration reinforcement-learning

Merchant Category Identification Using Credit Card Transactions

no code implementations5 Nov 2020 Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei zhang

In this work, we approach this problem from a multi-modal learning perspective, where we use not only the merchant time series data but also the information of merchant-merchant relationship (i. e., affinity) to verify the self-reported business type (i. e., merchant category) of a given merchant.

Time Series Time Series Classification

Towards a Flexible Embedding Learning Framework

no code implementations23 Sep 2020 Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei zhang

Our proposed framework utilizes a set of entity-relation-matrices as the input, which quantifies the affinities among different entities in the database.

Representation Learning

Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management

no code implementations14 May 2020 Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu

With the increasing popularity of electric vehicles, distributed energy generation and storage facilities in smart grid systems, an efficient Demand-Side Management (DSM) is urgent for energy savings and peak loads reduction.

Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning

no code implementations14 May 2020 Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu

Adversarial attacks against conventional Deep Learning (DL) systems and algorithms have been widely studied, and various defenses were proposed.

Adversarial Attack reinforcement-learning

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

no code implementations18 Feb 2020 Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng

Our framework consists of a fuzzy rule controller to represent human knowledge and a refine module to fine-tune suboptimal prior knowledge.

Common Sense Reasoning Continuous Control +1

Constrained Non-Affine Alignment of Embeddings

no code implementations13 Oct 2019 Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Das Mahashweta, Bendre Mangesh, Feifei Li, Wei zhang, Jeff M. Phillips

Embeddings are already essential tools for large language models and image analysis, and their use is being extended to many other research domains.

Gradient Boosting Survival Tree with Applications in Credit Scoring

1 code implementation9 Aug 2019 Miaojun Bai, Yan Zheng, Yun Shen

In order to deal with highly heterogeneous industrial data collected in Chinese market of consumer finance, we propose a nonparametric ensemble tree model called gradient boosting survival tree (GBST) that extends the survival tree models with a gradient boosting algorithm.

Survival Analysis

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents

no code implementations NeurIPS 2018 Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan

In multiagent domains, coping with non-stationary agents that change behaviors from time to time is a challenging problem, where an agent is usually required to be able to quickly detect the other agent's policy during online interaction, and then adapt its own policy accordingly.

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

1 code implementation ICCV 2019 Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, Alan Yuille

In particular, this enables images in the training dataset to be matched to a virtual 3D model of the object (for simplicity, we assume that the object viewpoint can be estimated by standard techniques).

Semantic Part Detection

Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction

no code implementations25 Sep 2018 Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Zhaopeng Meng, Changjie Fan, Li Wang

Besides, we propose a new experience replay mechanism to alleviate the issue of the sparse transitions at the high level of abstraction and the non-stationarity of multiagent learning.


Towards Efficient Detection and Optimal Response against Sophisticated Opponents

no code implementations12 Sep 2018 Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng, Ze Zheng

This paper proposes a novel approach called Bayes-ToMoP which can efficiently detect the strategy of opponents using either stationary or higher-level reasoning strategies.

Multiagent Systems

End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings

no code implementations19 Jun 2018 Brenner Eliot, Zhao Jun, Kutiyanawala Aliasgar, Yan Zheng

The different types of relevance models developed for IR have complementary advantages and disadvantages when applied to eCommerce product search.

Interactive Deep Colorization With Simultaneous Global and Local Inputs

no code implementations27 Jan 2018 Yi Xiao, Peiyao Zhou, Yan Zheng

To solve this problem, we present a novel deep colorization method, which allows simultaneous global and local inputs to better control the output colorized images.


Joint convolutional neural pyramid for depth map super-resolution

no code implementations3 Jan 2018 Yi Xiao, Xiang Cao, Xianyi Zhu, Renzhi Yang, Yan Zheng

The convolutional neural pyramids extract information from large receptive fields of the depth map and guidance map, while the convolutional neural network effectively transfers useful structures of the guidance image to the depth image.

Depth Map Super-Resolution

Coresets for Kernel Regression

no code implementations13 Feb 2017 Yan Zheng, Jeff M. Phillips

Kernel regression is an essential and ubiquitous tool for non-parametric data analysis, particularly popular among time series and spatial data.

Time Series

Subsampling in Smoothed Range Spaces

no code implementations30 Oct 2015 Jeff M. Phillips, Yan Zheng

We consider smoothed versions of geometric range spaces, so an element of the ground set (e. g. a point) can be contained in a range with a non-binary value in $[0, 1]$.

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