Search Results for author: Yuchen Wang

Found 32 papers, 14 papers with code

基于强负采样的词嵌入优化算法(Word Embedding Optimization Based on Hard Negative Sampling)

no code implementations CCL 2020 Yuchen Wang, Miaozhe Lin, Jiefan Zhan

word2vec是自然语言处理领域重要的词嵌入算法之一, 为了解决随机负采样作为优化目标可能出现的样本贡献消失问题, 提出了可以应用在CBOW和Skip-gram框架上的以余弦距离为度量的强负采样方法:HNS-CBOW和HNS-SG。将原随机负采样过程拆解为两个步骤, 首先, 计算随机负样本与目标词的余弦距离, 然后, 再使用距离较近的强负样本更新参数。以英文维基百科数据作为实验语料, 在公开的语义-语法数据集上对优化算法的效果进行了定量分析, 实验表明, 优化后的词嵌入质量显著优于原方法。同时, 与GloVe等公开发布的预训练词向量相比, 可以在更小的语料库上获得更高的准确性。

Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework

no code implementations29 Apr 2025 Yuchen Wang, Pengfei Jia, Zhitao Shu, Keyan Liu, Abdul Rashid Mohamed Shariff

This study proposes a multidimensional precipitation index prediction model based on a CNN- LSTM hybrid framework, aiming to improve the accuracy of precipitation forecasts.

Prediction Time Series +1

From Code Generation to Software Testing: AI Copilot with Context-Based RAG

no code implementations2 Apr 2025 Yuchen Wang, Shangxin Guo, Chee Wei Tan

The rapid pace of large-scale software development places increasing demands on traditional testing methodologies, often leading to bottlenecks in efficiency, accuracy, and coverage.

Chatbot Code Generation +3

TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization

1 code implementation5 Mar 2025 Jiayi Zhang, Yiming Zhang, Yuan Zheng, Yuchen Wang, Jinjiang You, Yuchen Xu, Wenxing Jiang, Soumyabrata Dev

Urban traffic optimization is critical for improving transportation efficiency and alleviating congestion, particularly in large-scale dynamic networks.

Computational Efficiency Graph Learning +2

AnchorCrafter: Animate CyberAnchors Saling Your Products via Human-Object Interacting Video Generation

no code implementations26 Nov 2024 Ziyi Xu, Ziyao Huang, Juan Cao, Yong Zhang, Xiaodong Cun, Qing Shuai, Yuchen Wang, Linchao Bao, Jintao Li, Fan Tang

The automatic generation of anchor-style product promotion videos presents promising opportunities in online commerce, advertising, and consumer engagement.

Human-Object Interaction Detection Object +1

Seismic Phase Picking

no code implementations21 Oct 2024 Yuchen Wang, Ruihuan Wang

Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring.

Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework

1 code implementation20 Oct 2024 Yuchen Wang, Shangxin Guo, Chee Wei Tan

The advancements in cloud-based Large Languages Models (LLMs) have revolutionized AI-assisted programming.

Code Completion RAG +1

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting

no code implementations19 Jun 2024 Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang

Here, we take advantage of spiking neural networks' energy efficiency and propose an end-to-end lightweight KWS model.

Keyword Spotting

MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion

no code implementations15 Jun 2024 Jiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng

To alleviate the sparsity issue of gifting behaviors, we present a novel Graph-guided Interest Expansion (GIE) approach that learns both user and streamer representations on large-scale gifting graphs with multi-modal attributes.

Achieving Resolution-Agnostic DNN-based Image Watermarking: A Novel Perspective of Implicit Neural Representation

no code implementations14 May 2024 Yuchen Wang, Xingyu Zhu, Guanhui Ye, Shiyao Zhang, Xuetao Wei

Unlike previous methods, our method does not rely on the previous reduction process by directly watermarking the continuous signal instead of image pixels, thus achieving resolution-agnostic watermarking.

Decoder

Fermi-Bose Machine achieves both generalization and adversarial robustness

no code implementations21 Apr 2024 Mingshan Xie, Yuchen Wang, Haiping Huang

Distinct from human cognitive processing, deep neural networks trained by backpropagation can be easily fooled by adversarial examples.

Adversarial Robustness Contrastive Learning +1

Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network

1 code implementation9 Feb 2024 Yuchen Wang, Zhengyu Fang, Wei Du, Shuai Xu, Rong Xu, Jing Li

The opioid epidemic, referring to the growing hospitalizations and deaths because of overdose of opioid usage and addiction, has become a severe health problem in the United States.

Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views

1 code implementation CVPR 2024 Ziwei Zhao, Yuchen Wang, Chuhua Wang

As wearable cameras become more popular an important question emerges: how to identify camera wearers within the perspective of conventional static cameras.

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

2 code implementations CVPR 2024 Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei HUANG, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge.

Video Understanding

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization

no code implementations7 Oct 2023 Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu

Specifically, our RUAD can more effectively alleviate the feature sensitivity of the uplift model through two customized modules, including a feature selection module with joint multi-label modeling to identify a key subset from the input features and an adversarial feature desensitization module using adversarial training and soft interpolation operations to enhance the robustness of the model against this selected subset of features.

feature selection Marketing

Understand Legal Documents with Contextualized Large Language Models

no code implementations21 Mar 2023 Xin Jin, Yuchen Wang

The growth of pending legal cases in populous countries, such as India, has become a major issue.

Sentence

Whodunit? Learning to Contrast for Authorship Attribution

1 code implementation23 Sep 2022 Bo Ai, Yuchen Wang, Yugin Tan, Samson Tan

To the best of our knowledge, we are the first to integrate contrastive learning with pre-trained language model fine-tuning for authorship attribution.

Authorship Attribution Contrastive Learning +2

UNITER-Based Situated Coreference Resolution with Rich Multimodal Input

1 code implementation7 Dec 2021 Yichen Huang, Yuchen Wang, Yik-Cheung Tam

Our model ranks second in the official evaluation on the object coreference resolution task with an F1 score of 73. 3% after model ensembling.

coreference-resolution Object +1

Ego4D: Around the World in 3,000 Hours of Egocentric Video

8 code implementations CVPR 2022 Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei HUANG, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.

De-identification Ethics

Stepwise Goal-Driven Networks for Trajectory Prediction

1 code implementation25 Mar 2021 Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall

We propose to predict the future trajectories of observed agents (e. g., pedestrians or vehicles) by estimating and using their goals at multiple time scales.

Decoder Multi-future Trajectory Prediction +2

A Flexible Rolling Regression Framework for Time-Varying SIRD models: Application to COVID-19

no code implementations2 Mar 2021 Javier Rubio-Herrero, Yuchen Wang

The present paper introduces a data-driven framework for describing the time-varying nature of an SIRD model in the context of COVID-19.

regression

Forecasting Black Sigatoka Infection Risks with Latent Neural ODEs

1 code implementation1 Dec 2020 Yuchen Wang, Matthieu Chan Chee, Ziyad Edher, Minh Duc Hoang, Shion Fujimori, Sornnujah Kathirgamanathan, Jesse Bettencourt

Black Sigatoka disease severely decreases global banana production, and climate change aggravates the problem by altering fungal species distributions.

Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery

no code implementations8 Oct 2020 Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey Fox, David Crandall

Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate.

Image Segmentation Semantic Segmentation

Qudits and high-dimensional quantum computing

1 code implementation30 Jul 2020 Yuchen Wang, Zixuan Hu, Barry C. Sanders, Sabre Kais

Qudit is a multi-level computational unit alternative to the conventional 2-level qubit.

Quantum Physics

Unsupervised Traffic Accident Detection in First-Person Videos

2 code implementations2 Mar 2019 Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins

Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems.

Autonomous Driving Object Localization +4

Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos

no code implementations ECCV 2018 Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall

In this paper, we wish to solve two specific problems: (1) given two or more synchronized third-person videos of a scene, produce a pixel-level segmentation of each visible person and identify corresponding people across different views (i. e., determine who in camera A corresponds with whom in camera B), and (2) given one or more synchronized third-person videos as well as a first-person video taken by a mobile or wearable camera, segment and identify the camera wearer in the third-person videos.

Segmentation

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