Yinglong Xia

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 76

Top Venues

Publications

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS (2024)
Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
Deceptive Fairness Attacks on Graphs via Meta Learning. ICLR (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR (2024)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT (2024)
Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
Mixture of Weak and Strong Experts on Graphs. ICLR (2024)
Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW (2023)
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. CoRR (2023)
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI (2023)
Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
Generative Graph Dictionary Learning. ICML (2023)
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo
LLM-Rec: Personalized Recommendation via Prompting Large Language Models. CoRR (2023)
Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. CoRR (2023)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR (2023)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD (2023)
Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
Mixture of Weak & Strong Experts on Graphs. CoRR (2023)
Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops (2023)
Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong
Representation Learning on Dynamic Network of Networks. SDM (2023)
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi
DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. SDM (2023)
Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
Deceptive Fairness Attacks on Graphs via Meta Learning. CoRR (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR (2022)
Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI (2022)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD (2022)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. CoRR (2022)
Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong
iFiG: Individually Fair Multi-view Graph Clustering. Big Data (2022)
Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. CoRR (2022)
Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong
Joint Knowledge Graph Completion and Question Answering. KDD (2022)
Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. SIGIR (2022)
Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo
Balancing Consistency and Disparity in Network Alignment. KDD (2021)
Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63 (1) (2021)
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. NeurIPS (2021)
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen
Dynamic Graph Representation Learning via Graph Transformer Networks. CoRR (2021)
Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD (2021)
Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong
Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 33 (10) (2021)
Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM (2021)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS (2021)
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Revisiting Graph Neural Networks for Link Prediction. CoRR (2020)
Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong
Ranking on Network of Heterogeneous Information Networks. IEEE BigData (2020)
Deming Chu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang
Finding the Best k in Core Decomposition: A Time and Space Optimal Solution. ICDE (2020)
Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia
The LDBC Graphalytics Benchmark. CoRR (2020)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Andrey Malevich, Ren Chen
Deep Graph Neural Networks with Shallow Subgraph Samplers. CoRR (2020)
Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu
NetTrans: Neural Cross-Network Transformation. KDD (2020)
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. CoRR (2019)
Tianran Hu, Yinglong Xia, Jiebo Luo
To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace. WWW (2019)
Ladjel Bellatreche, Carson Kai-Sang Leung, Yinglong Xia, Didier El Baz
Advances in cloud and big data computing. Concurr. Comput. Pract. Exp. 31 (2) (2019)
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. KDD (2019)
Yinglong Xia
Roll of Unified Graph Analysis Platforms. KDD (2019)
Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
Robust Embedded Deep K-means Clustering. CIKM (2019)
Qiang-Sheng Hua, Xuanhua Shi, Yinglong Xia, Howie Huang
Guest Editorial: Special Issue on Algorithms and Systems on Big Graph Processing. Int. J. Parallel Program. 47 (4) (2019)
Li Zhou, Ren Chen, Yinglong Xia, Radu Teodorescu
C-Graph: A Highly Efficient Concurrent Graph Reachability Query Framework. ICPP (2018)
Jian Kang, Hanghang Tong, Yinglong Xia, Wei Fan
AURORA: Auditing PageRank on Large Graphs. CoRR (2018)
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
Scalable Spectral Clustering Using Random Binning Features. CoRR (2018)
Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
Local Partition in Rich Graphs. CoRR (2018)
Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong
AURORA: Auditing PageRank on Large Graphs. IEEE BigData (2018)
Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong
Local Partition in Rich Graphs. IEEE BigData (2018)
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
Scalable Spectral Clustering Using Random Binning Features. KDD (2018)
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM (2018)
Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
Rapid Analysis of Network Connectivity. CIKM (2017)
Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim
Exploring big graph computing - An empirical study from architectural perspective. J. Parallel Distributed Comput. 108 (2017)
Qingsong Wen, Ren Chen, Lifeng Nai, Li Zhou, Yinglong Xia
Finding Top K Shortest Simple Paths with Improved Space Efficiency. GRADES@SIGMOD/PODS (2017)
Alexandru Iosup, Tim Hegeman, Wing Lung Ngai, Stijn Heldens, Arnau Prat-Pérez, Thomas Manhardt, Hassan Chafi, Mihai Capota, Narayanan Sundaram, Michael J. Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter A. Boncz
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. 9 (13) (2016)
Charalampos Chelmis, Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Weiqin Tong, Yinglong Xia
ParLearning Introduction and Committees. IPDPS Workshops (2016)
Anni Coden, W. Sabrina Lin, Keith Houck, Michael A. Tanenblatt, Jeff Boston, Julie MacNaught, Danny Soroker, Justin D. Weisz, Shimei Pan, Jui-Hsin Lai, Jie Lu, Steve Wood, Yinglong Xia, Ching-Yung Lin
Uncovering insider threats from the digital footprints of individuals. IBM J. Res. Dev. 60 (4) (2016)
Li Zhou, Yinglong Xia, Hui Zang, Jian Xu, Mingzhen Xia
An edge-set based large scale graph processing system. IEEE BigData (2016)
James Schaffer, Brandon Huynh, John O'Donovan, Tobias Höllerer, Yinglong Xia, W. Sabrina Lin
An analysis of student behavior in two massive open online courses. ASONAM (2016)
Dakshi Agrawal, Ali Raza Butt, Kshitij A. Doshi, Josep Lluís Larriba-Pey, Min Li, Frederick R. Reiss, Francois Raab, Berni Schiefer, Toyotaro Suzumura, Yinglong Xia
SparkBench - A Spark Performance Testing Suite. TPCTC (2015)
Chun-Hsi Huang, Gwo Giun Chris Lee, Chun-Fu (Richard) Chen, Yinglong Xia, Ching-Yung Lin
Reconfigurable filter bank design via principal component analysis and low rank approximation. GlobalSIP (2015)
Chun-Fu (Richard) Chen, Gwo Giun Chris Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin
Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. ISM (2015)
Ching-Yung Lin, Danny L. Yeh, Nan Cao, Jui-Hsin Lai, Chun-Fu (Richard) Chen, Conglei Shi, Jie Lu, Jason Crawford, Keith Houck, Yinglong Xia, Wan-Yi Sabrina Lin, Richard B. Hull, Fenno F. Terry Heath III, Piyawadee Sukaviriya, SweeFen Goh
IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context. ICME Workshops (2015)
Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim, Ching-Yung Lin
GraphBIG: understanding graph computing in the context of industrial solutions. SC (2015)
Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Yinglong Xia
ParLearning Introduction and Committees. IPDPS Workshops (2015)
Jianting Zhang, Simin You, Yinglong Xia
Prototyping A Web-based High-Performance Visual Analytics Platform for Origin-Destination Data: A Case study of NYC Taxi Trip Records. UrbanGIS@SIGSPATIAL (2015)
Yinglong Xia, Lifeng Nai, Jui-Hsin Lai
Towards Balance-Affinity Tradeoff in Concurrent Subgraph Traversals. IPDPS (2015)
Guojing Cong, Ilie Gabriel Tanase, Yinglong Xia
Accelerating Minimum Spanning Forest Computations on Multicore Platforms. Euro-Par Workshops (2015)
Yinglong Xia, Jui-Hsin Lai, Lifeng Nai, Ching-Yung Lin
Concurrent image query using local random walk with restart on large scale graphs. ICME Workshops (2014)
Hsuan-Yi Chu, Yinglong Xia, Anand V. Panangadan, Viktor K. Prasanna
Wait-Free Primitives for Initializing Bayesian Network Structure Learning on Multicore Processors. IPDPS Workshops (2014)
Yinglong Xia, Ilie Gabriel Tanase, Lifeng Nai, Wei Tan, Yanbin Liu, Jason Crawford, Ching-Yung Lin
Graph analytics and storage. IEEE BigData (2014)
Nam Ma, Yinglong Xia, Viktor K. Prasanna
Data Parallel Implementation of Belief Propagation in Factor Graphs on Multi-core Platforms. Int. J. Parallel Program. 42 (1) (2014)
Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Yanbin Liu, Wei Tan, Jason Crawford, Ching-Yung Lin
A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics. GRADES (2014)
Lifeng Nai, Yinglong Xia, Ching-Yung Lin, Bo Hong, Hsien-Hsin S. Lee
Cache-conscious graph collaborative filtering on multi-socket multicore systems. Conf. Computing Frontiers (2014)
Abhinav Vishnu, Yinglong Xia
ParLearning Introduction and Committees. IPDPS Workshops (2014)
Peter Strazdins, Neal Naixue Xiong, Thomas Rauber, Yinglong Xia, Laurence T. Yang, Gudula Rünger
PDSEC Introduction. IPDPS Workshops (2013)
Sutanay Choudhury, George Chin Jr., Yinglong Xia
ParLearning Introduction. IPDPS Workshops (2013)
Nam Ma, Yinglong Xia, Viktor K. Prasanna
Parallel Exact Inference on Multicore Using MapReduce. SBAC-PAD (2012)
Jun Wang, Yinglong Xia
Fast Graph Construction Using Auction Algorithm. UAI (2012)
Yinglong Xia, Viktor K. Prasanna
Distributed Evidence Propagation in Junction Trees on Clusters. IEEE Trans. Parallel Distributed Syst. 23 (7) (2012)
Sutanay Choudhury, George Chin Jr., Yinglong Xia
ParLearning Introduction. IPDPS Workshops (2012)
Jun Wang, Yinglong Xia
Fast Graph Construction Using Auction Algorithm CoRR (2012)
Nam Ma, Yinglong Xia, Viktor K. Prasanna
Task Parallel Implementation of Belief Propagation in Factor Graphs. IPDPS Workshops (2012)
Nam Ma, Yinglong Xia, Viktor K. Prasanna
Exploring Weak Dependencies in DAG Scheduling. IPDPS Workshops (2011)
Yinglong Xia, Viktor K. Prasanna
Parallel evidence propagation on multicore processors. J. Supercomput. 57 (2) (2011)
Nam Ma, Yinglong Xia, Viktor K. Prasanna
Data Parallelism for Belief Propagation in Factor Graphs. SBAC-PAD (2011)
Yinglong Xia, Viktor K. Prasanna
Self-Adaptive Evidence Propagation on Manycore Processors. IPDPS Workshops (2011)
Yinglong Xia, Viktor K. Prasanna, James Li
Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping. JSSPP (2010)
Yinglong Xia, Viktor K. Prasanna
Scalable Node-Level Computation Kernels for Parallel Exact Inference. IEEE Trans. Computers 59 (1) (2010)
Yinglong Xia, Viktor K. Prasanna
Parallel exact inference on the Cell Broadband Engine processor. J. Parallel Distributed Comput. 70 (5) (2010)
Qingbo Wang, Weirong Jiang, Yinglong Xia, Viktor K. Prasanna
A message-passing multi-softcore architecture on FPGA for Breadth-first Search. FPT (2010)
Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna
Parallel Exact Inference on a CPU-GPGPU Heterogenous System. ICPP (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yinglong Xia