Yang Yang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 87

Top Venues

Publications

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang
Towards Fair Graph Federated Learning via Incentive Mechanisms. AAAI (2024)
Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices. ICLR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) (2024)
Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices. CoRR (2024)
Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. AAAI (2024)
Zhouxiang Fang, Min Yu, Zhendong Fu, Boning Zhang, Xuanwen Huang, Xiaoqi Tang, Yang Yang
How to generate popular post headlines on social media? AI Open 5 (2024)
Daoze Zhang, Zhizhang Yuan, Junru Chen, Kerui Chen, Yang Yang
Brant-X: A Unified Physiological Signal Alignment Framework. KDD (2024)
Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, Yang Yang
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data. CoRR (2024)
Zhizhang Yuan, Daoze Zhang, Junru Chen, Gefei Gu, Yang Yang
Brant-2: Foundation Model for Brain Signals. CoRR (2024)
Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph. WWW (2024)
Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
Can GNN be Good Adapter for LLMs? WWW (2024)
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR (2024)
Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
Can GNN be Good Adapter for LLMs? CoRR (2024)
Linfeng Cao, Haoran Deng, Chunping Wang, Lei Chen, Yang Yang
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph. CoRR (2024)
Taoran Fang, Wei Zhou, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang
Exploring Correlations of Self-Supervised Tasks for Graphs. CoRR (2024)
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
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR (2024)
Zongtao Liu, Wei Dong, Chaoliang Wang, Haoqingzi Shen, Gang Sun, Qun jiang, Quanjin Tao, Yang Yang
Boosting graph search with attention network for solving the general orienteering problem. AI Open 5 (2024)
Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals. KDD (2023)
Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Ziqiang Cheng, Yang Yang, Shuo Jiang, Wenjie Hu, Zhangchi Ying, Ziwei Chai, Chunping Wang
Time2Graph+: Bridging Time Series and Graph Representation Learning via Multiple Attentions. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zhouxiang Fang, Min Yu, Zhendong Fu, Boning Zhang, Xuanwen Huang, Xiaoqi Tang, Yang Yang
How to Generate Popular Post Headlines on Social Media? CoRR (2023)
Zhizhang Yuan, Daoze Zhang, Yang Yang, Junru Chen, Yafeng Li
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection. NeurIPS (2023)
Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! KDD (2023)
Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
DropMessage: Unifying Random Dropping for Graph Neural Networks. AAAI (2023)
Daoze Zhang, Zhizhang Yuan, Yang Yang, Junru Chen, Jingjing Wang, Yafeng Li
Brant: Foundation Model for Intracranial Neural Signal. NeurIPS (2023)
Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. CoRR (2023)
Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds. KDD (2023)
Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds. CoRR (2023)
Xuanwen Huang, Kaiqiao Han, Dezheng Bao, Quanjin Tao, Zhisheng Zhang, Yang Yang, Qi Zhu
Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs. CoRR (2023)
Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang
Towards Fair Graph Federated Learning via Incentive Mechanisms. CoRR (2023)
Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
When to Pre-Train Graph Neural Networks? An Answer from Data Generation Perspective! CoRR (2023)
Zhuokai Zhao, Yang Yang, Wenyu Wang, Chihuang Liu, Yu Shi, Wenjie Hu, Haotian Zhang, Shuang Yang
Breaking the Curse of Quality Saturation with User-Centric Ranking. CoRR (2023)
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
CogDL: A Comprehensive Library for Graph Deep Learning. WWW (2023)
Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI (2023)
Boning Zhang, Yang Yang
MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation. EMNLP (2023)
Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals. CoRR (2023)
Rui Feng, Qi Ding, Weihao Qiu, Xiao Yang, Yang Yang, Chunping Wang
A unified network embedding algorithm for multi-type similarity measures. AI Open 4 (2023)
Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, Yang Yang
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model. CoRR (2023)
Xuan Yang, Quanjin Tao, Xiao Feng, Donghong Cai, Xiang Ren, Yang Yang
MMGA: Multimodal Learning with Graph Alignment. CoRR (2022)
Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. CoRR (2022)
Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang
A Progressive Framework for Role-Aware Rumor Resolution. COLING (2022)
Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. KDD (2022)
Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang
Can Abnormality be Detected by Graph Neural Networks? IJCAI (2022)
Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. NeurIPS (2022)
Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
DropMessage: Unifying Random Dropping for Graph Neural Networks. CoRR (2022)
Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. IJCAI (2022)
Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, Jiangang Lu
Robust Network Enhancement From Flawed Networks. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. AAAI (2022)
Xuan Yang, Yang Yang, Jintao Su, Yifei Sun, Shen Fan, Zhongyao Wang, Jun Zhang, Jingmin Chen
Who is next: rising star prediction via diffusion of user interest in social networks. CoRR (2022)
Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun
Unsupervised Adversarially Robust Representation Learning on Graphs. AAAI (2022)
Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang
Prompt Tuning for Graph Neural Networks. CoRR (2022)
Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang
Boosting Graph Search with Attention Network for Solving the General Orienteering Problem. CoRR (2021)
Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, Jingmin Chen
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode. CoRR (2021)
Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren
Time-Series Event Prediction with Evolutionary State Graph. WSDM (2021)
Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Jiarong Xu, Junru Chen, Siqi You, Zhiqing Xiao, Yang Yang, Jiangang Lu
Robustness of deep learning models on graphs: A survey. AI Open 2 (2021)
Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, Jingmin Chen
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode. SIGIR (2021)
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu
Query-free Black-box Adversarial Attacks on Graphs. CoRR (2020)
Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu
Unsupervised Adversarially-Robust Representation Learning on Graphs. CoRR (2020)
Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng
Understanding Electricity-Theft Behavior via Multi-Source Data. WWW (2020)
Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li
BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. IJCAI (2020)
Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. AAAI (2020)
Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng
Understanding Electricity-Theft Behavior via Multi-Source Data. CoRR (2020)
Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu
Understanding Default Behavior in Online Lending. CIKM (2019)
Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Alex Cheng, Yueting Zhuang
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. WWW (2019)
Wenjie Hu, Yang Yang, Liang Wu, Zongtao Liu, Zhanlin Sun, Bingshen Yao
Capturing Evolution Genes for Time Series Data. CoRR (2019)
Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Yueting Zhuang, Alex Cheng
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. CoRR (2019)
Zongtao Liu, Yang Yang, Wei Huang, Zhongyi Tang, Ning Li, Fei Wu
How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation. WWW (2019)
Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. CoRR (2019)
Wenjie Hu, Yang Yang, Zilong You, Zongtao Liu, Xiang Ren
Modeling Combinatorial Evolution in Time Series Prediction. CoRR (2019)
Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
Learning Fair Representations via an Adversarial Framework. CoRR (2019)
Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. WWW (2018)
Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai. AAAI (2018)
Songyang Zhang, Yang Yang, Jun Xiao, Xiaoming Liu, Yi Yang, Di Xie, Yueting Zhuang
Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks. IEEE Trans. Multim. 20 (9) (2018)
Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. CoRR (2018)
Yang Yang, Jie Tang, Juanzi Li
Learning to Infer Competitive Relationships in Heterogeneous Networks. ACM Trans. Knowl. Discov. Data 12 (1) (2018)
Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang
Dynamic Network Embedding by Modeling Triadic Closure Process. AAAI (2018)
Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang
RaRE: Social Rank Regulated Large-scale Network Embedding. WWW (2018)
Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang
Representation Learning for Scale-Free Networks. AAAI (2018)
Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang
User Modeling on Demographic Attributes in Big Mobile Social Networks. ACM Trans. Inf. Syst. 35 (4) (2017)
Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhuang
Representation Learning for Scale-free Networks. CoRR (2017)
Xinyang Jiang, Siliang Tang, Yang Yang, Zhou Zhao, Yin Zhang, Fei Wu, Yueting Zhuang
Detecting Temporal Proposal for Action Localization with Tree-structured Search Policy. ACM Multimedia (2017)
Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, Qi Tian
Inferring Emotional Tags From Social Images With User Demographics. IEEE Trans. Multim. 19 (7) (2017)
Yang Yang, Jia Jia, Boya Wu, Jie Tang
Social Role-Aware Emotion Contagion in Image Social Networks. AAAI (2016)
Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang
BigNet 2016: First Workshop on Big Network Analytics. CIKM (2016)
Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang
The Evolution of Social Relationships and Strategies Across the Lifespan. ECML/PKDD (3) (2015)
Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li
Entity Matching across Heterogeneous Sources. KDD (2015)
Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla
Modeling the Interplay Between Individual Behavior and Network Distributions. CoRR (2015)
Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang
Understanding the emotions behind social images: Inferring with user demographics. ICME (2015)
Yang Yang, Jie Tang
Beyond Query: Interactive User Intention Understanding. ICDM (2015)
Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang
RAIN: Social Role-Aware Information Diffusion. AAAI (2015)
Boya Wu, Jia Jia, Xiaohui Wang, Yang Yang, Lianhong Cai
Inferring Emotions from Social Images Leveraging Influence Analysis. SMP (2014)
Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang
How Do Your Friends on Social Media Disclose Your Emotions? AAAI (2014)
Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla
Inferring user demographics and social strategies in mobile social networks. KDD (2014)
Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang
Exploiting small world property for network clustering. World Wide Web 17 (3) (2014)
Honghao Wei, Yang Yang, Huan Chen, Bin Xu, Jian Li, Miao Jiang, Aiping Lu
Predicting Health Care Risk with Big Data Drawn from Clinical Physiological Parameters. SMP (2014)
Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li
Forecasting Potential Diabetes Complications. AAAI (2014)
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
SAE: social analytic engine for large networks. KDD (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yang Yang