Search Results for author: Yanan Wang

Found 15 papers, 4 papers with code

Anchor-aware Deep Metric Learning for Audio-visual Retrieval

no code implementations21 Apr 2024 Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Yi Yu

However, the model training fails to fully explore the space due to the scarcity of training data points, resulting in an incomplete representation of the overall positive and negative distributions.

Cross-Modal Retrieval Metric Learning +1

Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis

1 code implementation15 Apr 2024 Shuaicong Hu, Yanan Wang, Jian Liu, Jingyu Lin, Shengmei Qin, Zhenning Nie, Zhifeng Yao, Wenjie Cai, Cuiwei Yang

Considering the variability of amplitude and phase patterns in electrocardiogram (ECG) signals due to cardiac activity and individual differences, existing entropy-based studies have not fully utilized these two patterns and lack integration.

Morphological Analysis

TimeGraphs: Graph-based Temporal Reasoning

no code implementations6 Jan 2024 Paridhi Maheshwari, Hongyu Ren, Yanan Wang, Rok Sosic, Jure Leskovec

The results demonstrate both robustness and efficiency of TimeGraphs on a range of temporal reasoning tasks.

Zero-shot Generalization

VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning

no code implementations27 Sep 2023 Yanan Wang, Donghuo Zeng, Shinya Wada, Satoshi Kurihara

In this work, to achieve high efficiency-performance multimodal transfer learning, we propose VideoAdviser, a video knowledge distillation method to transfer multimodal knowledge of video-enhanced prompts from a multimodal fundamental model (teacher) to a specific modal fundamental model (student).

Knowledge Distillation regression +2

What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You

no code implementations4 Sep 2023 Rui Wang, Xing Liu, Yanan Wang, Haiping Huang

The recently released artificial intelligence conversational agent, ChatGPT, has gained significant attention in academia and real life.

Representation Learning

Topic-switch adapted Japanese Dialogue System based on PLATO-2

no code implementations22 Feb 2023 Donghuo Zeng, Jianming Wu, Yanan Wang, Kazunori Matsumoto, Gen Hattori, Kazushi Ikeda

Furthermore, our proposed topic-switch algorithm achieves an average score of 1. 767 and outperforms PLATO-JDS by 0. 267, indicating its effectiveness in improving the user experience of our system.

Dialogue Generation Informativeness

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval

no code implementations7 Nov 2022 Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda

In this paper, to reduce the interference of hard negative samples in representation learning, we propose a new AV-CMR model to optimize semantic features by directly predicting labels and then measuring the intrinsic correlation between audio-visual data using complete cross-triple loss.

Cross-Modal Retrieval Representation Learning +1

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering

no code implementations ICCV 2023 Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec

Visual question answering (VQA) requires systems to perform concept-level reasoning by unifying unstructured (e. g., the context in question and answer; "QA context") and structured (e. g., knowledge graph for the QA context and scene; "concept graph") multimodal knowledge.

Knowledge Graphs Question Answering +1

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

2 code implementations CVPR 2022 Yanan Wang, Xuezhi Liang, Shengcai Liao

To address this, in this work, an automatic approach is proposed to directly clone the whole outfits from real-world person images to virtual 3D characters, such that any virtual person thus created will appear very similar to its real-world counterpart.

 Ranked #1 on Unsupervised Domain Adaptation on ClonedPerson (using extra training data)

Generalizable Person Re-identification Unsupervised Domain Adaptation +1

Sequential Search with Off-Policy Reinforcement Learning

no code implementations1 Feb 2022 Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang

Recent years have seen a significant amount of interests in Sequential Recommendation (SR), which aims to understand and model the sequential user behaviors and the interactions between users and items over time.

reinforcement-learning Reinforcement Learning (RL) +1

EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation

no code implementations28 Jan 2022 Haowei He, Jingzhao Zhang, Yanan Wang, Benben Jiang, Shaobo Huang, Chen Wang, Yang Zhang, Gengang Xiong, Xuebing Han, Dongxu Guo, Guannan He, Minggao Ouyang

In addition to demonstrating how existing deep learning algorithms can be applied to this task, we further develop an algorithm that exploits the data structure of battery systems.

Anomaly Detection Capacity Estimation +1

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

no code implementations4 Dec 2020 Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

To improve adaptation efficiency, we learn to recover the user policy and reward from only a few interactions via an inverse reinforcement learning method to assist a meta-level recommendation agent.

Model-based Reinforcement Learning Recommendation Systems +2

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

1 code implementation23 Jun 2020 Yanan Wang, Shengcai Liao, Ling Shao

To address this, we propose to automatically synthesize a large-scale person re-identification dataset following a set-up similar to real surveillance but with virtual environments, and then use the synthesized person images to train a generalizable person re-identification model.

Domain Generalization Generalizable Person Re-identification +1

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

no code implementations28 Aug 2019 Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong

Moreover, based on the temporally-dependent traffic information, we design a Graph Neural Network based model to represent relationships among multiple traffic lights, and the decision for each traffic light will be made in a distributed way by the deep Q-learning method.

Graph Neural Network Management +2

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