Yang Yang

According to our database, Yang Yang authored at least 87 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing.

Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang

CoRR, 2024

Can GNN be Good Adapter for LLMs?

Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu

CoRR, 2024

Brant-2: Foundation Model for Brain Signals.

Zhizhang Yuan, Daoze Zhang, Junru Chen, Gefei Gu, Yang Yang

CoRR, 2024

Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph.

Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen

CoRR, 2024

Are Synthetic Time-series Data Really not as Good as Real Data?

Fanzhe Fu, Junru Chen, Jing Zhang, Carl Yang, Lvbin Ma, Yang Yang

CoRR, 2024

Fast Updating Truncated SVD for Representation Learning with Sparse Matrices.

Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu

CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

CoRR, 2024

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns.

Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms.

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Who's Next: Rising Star Prediction via Diffusion of User Interest in Social Networks.

Xuan Yang, Yang Yang, Jintao Su, Yifei Sun, Shen Fan, Zhongyao Wang, Jun Zhang, Jingmin Chen

IEEE Trans. Knowl. Data Eng., May, 2023

A unified network embedding algorithm for multi-type similarity measures.

Rui Feng, Qi Ding, Weihao Qiu, Xiao Yang, Yang Yang, Chunping Wang

AI Open, January, 2023

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.

Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang

IEEE Trans. Knowl. Data Eng., 2023

Time2Graph+: Bridging Time Series and Graph Representation Learning via Multiple Attentions.

Ziqiang Cheng, Yang Yang, Shuo Jiang, Wenjie Hu, Zhangchi Ying, Ziwei Chai, Chunping Wang

IEEE Trans. Knowl. Data Eng., 2023

Towards Fair Graph Federated Learning via Incentive Mechanisms.

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang

CoRR, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.

Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

CoRR, 2023

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, Yang Yang

CoRR, 2023

How to Generate Popular Post Headlines on Social Media?

Zhouxiang Fang, Min Yu, Zhendong Fu, Boning Zhang, Xuanwen Huang, Xiaoqi Tang, Yang Yang

CoRR, 2023

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs.

Xuanwen Huang, Kaiqiao Han, Dezheng Bao, Quanjin Tao, Zhisheng Zhang, Yang Yang, Qi Zhu

CoRR, 2023

Breaking the Curse of Quality Saturation with User-Centric Ranking.

Zhuokai Zhao, Yang Yang, Wenyu Wang, Chihuang Liu, Yu Shi, Wenjie Hu, Haotian Zhang, Shuang Yang

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

Brant: Foundation Model for Intracranial Neural Signal.

Daoze Zhang, Zhizhang Yuan, Yang Yang, Junru Chen, Jingjing Wang, Yafeng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection.

Zhizhang Yuan, Daoze Zhang, Yang Yang, Junru Chen, Yafeng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds.

Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals.

Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation.

Boning Zhang, Yang Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DropMessage: Unifying Random Dropping for Graph Neural Networks.

Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network.

Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Network Enhancement From Flawed Networks.

Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, Jiangang Lu

IEEE Trans. Knowl. Data Eng., 2022

Network Embedding via Motifs.

Ping Shao, Yang Yang, Shengyao Xu, Chunping Wang

ACM Trans. Knowl. Discov. Data, 2022

MMGA: Multimodal Learning with Graph Alignment.

Xuan Yang, Quanjin Tao, Xiao Feng, Donghong Cai, Xiang Ren, Yang Yang

CoRR, 2022

Prompt Tuning for Graph Neural Networks.

Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang

CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.

Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen

CoRR, 2022

Who is next: rising star prediction via diffusion of user interest in social networks.

Xuan Yang, Yang Yang, Jintao Su, Yifei Sun, Shen Fan, Zhongyao Wang, Jun Zhang, Jingmin Chen

CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.

Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning.

Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network.

Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Can Abnormality be Detected by Graph Neural Networks?

Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Progressive Framework for Role-Aware Rumor Resolution.

Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unsupervised Adversarially Robust Representation Learning on Graphs.

Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.

Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks.

Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang

IEEE Trans. Knowl. Data Eng., 2021

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem.

Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang

CoRR, 2021

Robustness of deep learning models on graphs: A survey.

Jiarong Xu, Junru Chen, Siqi You, Zhiqing Xiao, Yang Yang, Jiangang Lu

AI Open, 2021

Time-Series Event Prediction with Evolutionary State Graph.

Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren

Proceedings of the WSDM '21, 2021

How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode.

Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, Jingmin Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Query-free Black-box Adversarial Attacks on Graphs.

Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu

CoRR, 2020

Unsupervised Adversarially-Robust Representation Learning on Graphs.

Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu

CoRR, 2020

Understanding Electricity-Theft Behavior via Multi-Source Data.

Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment.

Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets.

Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Modeling Combinatorial Evolution in Time Series Prediction.

Wenjie Hu, Yang Yang, Zilong You, Zongtao Liu, Xiang Ren

CoRR, 2019

Capturing Evolution Genes for Time Series Data.

Wenjie Hu, Yang Yang, Liang Wu, Zongtao Liu, Zhanlin Sun, Bingshen Yao

CoRR, 2019

Learning Fair Representations via an Adversarial Framework.

Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang

CoRR, 2019

How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation.

Zongtao Liu, Yang Yang, Wei Huang, Zhongyi Tang, Ning Li, Fei Wu

Proceedings of the World Wide Web Conference, 2019

What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings.

Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Alex Cheng, Yueting Zhuang

Proceedings of the World Wide Web Conference, 2019

Understanding Default Behavior in Online Lending.

Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks.

Songyang Zhang, Yang Yang, Jun Xiao, Xiaoming Liu, Yi Yang, Di Xie, Yueting Zhuang

IEEE Trans. Multim., 2018

Learning to Infer Competitive Relationships in Heterogeneous Networks.

Yang Yang, Jie Tang, Juanzi Li

ACM Trans. Knowl. Discov. Data, 2018

RaRE: Social Rank Regulated Large-scale Network Embedding.

Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period.

Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Dynamic Network Embedding by Modeling Triadic Closure Process.

Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai.

Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Representation Learning for Scale-Free Networks.

Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

User Modeling on Demographic Attributes in Big Mobile Social Networks.

Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang

ACM Trans. Inf. Syst., 2017

Inferring Emotional Tags From Social Images With User Demographics.

Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, Qi Tian

IEEE Trans. Multim., 2017

Representation Learning for Scale-free Networks.

Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhuang

CoRR, 2017

Detecting Temporal Proposal for Action Localization with Tree-structured Search Policy.

Xinyang Jiang, Siliang Tang, Yang Yang, Zhou Zhao, Yin Zhang, Fei Wu, Yueting Zhuang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

BigNet 2016: First Workshop on Big Network Analytics.

Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Social Role-Aware Emotion Contagion in Image Social Networks.

Yang Yang, Jia Jia, Boya Wu, Jie Tang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Modeling the Interplay Between Individual Behavior and Network Distributions.

Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla

CoRR, 2015

The Evolution of Social Relationships and Strategies Across the Lifespan.

Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Entity Matching across Heterogeneous Sources.

Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Understanding the emotions behind social images: Inferring with user demographics.

Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Beyond Query: Interactive User Intention Understanding.

Yang Yang, Jie Tang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

RAIN: Social Role-Aware Information Diffusion.

Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploiting small world property for network clustering.

Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang

World Wide Web, 2014

Inferring Emotions from Social Images Leveraging Influence Analysis.

Boya Wu, Jia Jia, Xiaohui Wang, Yang Yang, Lianhong Cai

Proceedings of the Social Media Processing - Third National Conference, 2014

Predicting Health Care Risk with Big Data Drawn from Clinical Physiological Parameters.

Honghao Wei, Yang Yang, Huan Chen, Bin Xu, Jian Li, Miao Jiang, Aiping Lu

Proceedings of the Social Media Processing - Third National Conference, 2014

Inferring user demographics and social strategies in mobile social networks.

Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Forecasting Potential Diabetes Complications.

Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

How Do Your Friends on Social Media Disclose Your Emotions?

Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

SAE: social analytic engine for large networks.

Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

PatentMiner: topic-driven patent analysis and mining.

Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao, Xinyu Yan, Bo Gao, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mining competitive relationships by learning across heterogeneous networks.

Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

Refining Graph Partitioning for Social Network Clustering.

Tieyun Qian, Yang Yang, Shuo Wang

Proceedings of the Web Information Systems Engineering - WISE 2010, 2010