Pan Li

According to our database, Pan Li authored at least 68 papers between 2013 and 2024.

Collaborative distances:

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

2024

Distance Information Improves Heterogeneous Graph Neural Networks.

Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang

IEEE Trans. Knowl. Data Eng., March, 2024

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics.

Siqi Miao, Zhiyuan Lu, Mia Liu, Javier M. Duarte, Pan Li

CoRR, 2024

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.

Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning.

Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li

Proc. VLDB Endow., 2023

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.

Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava

CoRR, 2023

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

CoRR, 2023

On the Stability of Expressive Positional Encodings for Graph Neural Networks.

Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li

CoRR, 2023

Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks.

Xiyuan Wang, Pan Li, Muhan Zhang

CoRR, 2023

Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs.

Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li

Proceedings of the ACM Web Conference 2023, 2023

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection.

Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic

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

Extensible and Efficient Proxy for Neural Architecture Search.

Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System.

Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma

Sensors, 2022

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning.

Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li

Proc. VLDB Endow., 2022

Graph Federated Learning with Hidden Representation Sharing.

Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li

CoRR, 2022

Federated Graph Representation Learning using Self-Supervision.

Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li

CoRR, 2022

Extensible Proxy for Efficient NAS.

Yuhong Li, Jiajie Li, Cong Han, Pan Li, Jinjun Xiong, Deming Chen

CoRR, 2022

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction.

Yang Hu, Xiyuan Wang, Zhouchen Lin, Pan Li, Muhan Zhang

CoRR, 2022

Neural Predicting Higher-order Patterns in Temporal Networks.

Yunyu Liu, Jianzhu Ma, Pan Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li

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

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.

Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li

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

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation.

Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang

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

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction.

Mingyue Tang, Pan Li, Carl Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing.

Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs.

Hejie Cui, Zijie Lu, Pan Li, Carl Yang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation.

Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao

CoRR, 2021

Neural Higher-order Pattern (Motif) Prediction in Temporal Networks.

Yunyu Liu, Jianzhu Ma, Pan Li

CoRR, 2021

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.

Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang

CoRR, 2021

TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks.

Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec

Proceedings of the WWW '21: The Web Conference 2021, 2021

Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning.

Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich

Proceedings of the WWW '21: The Web Conference 2021, 2021

MStream: Fast Anomaly Detection in Multi-Aspect Streams.

Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi

Proceedings of the WWW '21: The Web Conference 2021, 2021

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams.

Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec

Proceedings of the WSDM '21, 2021

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning.

Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Nested Graph Neural Networks.

Muhan Zhang, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Graph Augmentation to Improve Graph Contrastive Learning.

Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generic Neural Architecture Search via Regression.

Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bipartite Dynamic Representations for Abuse Detection.

Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns.

Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs.

Eli Chien, Pan Li, Olgica Milenkovic

Proceedings of the IEEE Information Theory Workshop, 2021

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.

Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li

Proceedings of the 9th International Conference on Learning Representations, 2021

Adaptive Universal Generalized PageRank Graph Neural Network.

Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic

Proceedings of the 9th International Conference on Learning Representations, 2021

MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank.

Lixiang Li, Yao Chen, Zacharie Zirnheld, Pan Li, Cong Hao

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Motif and Hypergraph Correlation Clustering.

Pan Li, Gregory J. Puleo, Olgica Milenkovic

IEEE Trans. Inf. Theory, 2020

Quadratic Decomposable Submodular Function Minimization: Theory and Practice.

Pan Li, Niao He, Olgica Milenkovic

J. Mach. Learn. Res., 2020

Revisit graph neural networks and distance encoding in a practical view.

Haoteng Yin, Yanbang Wang, Pan Li

CoRR, 2020

Revisiting Graph Neural Networks for Link Prediction.

Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin

CoRR, 2020

MStream: Fast Streaming Multi-Aspect Group Anomaly Detection.

Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi

CoRR, 2020

Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning.

Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec

CoRR, 2020

Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs.

Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic

CoRR, 2020

Graph Information Bottleneck.

Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning.

Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning on graphs with high-order relations: spectral methods, optimization and applications

Pan Li

PhD thesis, 2019

Conditional Structure Generation through Graph Variational Generative Adversarial Nets.

Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection.

Pan Li, I (Eli) Chien, Olgica Milenkovic

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search.

Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

HS²: Active learning over hypergraphs with pointwise and pairwise queries.

I (Eli) Chien, Huozhi Zhou, Pan Li

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

HS²: Active Learning over Hypergraphs.

I (Eli) Chien, Huozhi Zhou, Pan Li

CoRR, 2018

Revisiting Decomposable Submodular Function Minimization with Incidence Relations.

Pan Li, Olgica Milenkovic

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Quadratic Decomposable Submodular Function Minimization.

Pan Li, Niao He, Olgica Milenkovic

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering.

Pan Li, Olgica Milenkovic

Proceedings of the 35th International Conference on Machine Learning, 2018

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights.

Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Inhomogeneous Hypergraph Clustering with Applications.

Pan Li, Olgica Milenkovic

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multiclass MinMax rank aggregation.

Pan Li, Olgica Milenkovic

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Motif clustering and overlapping clustering for social network analysis.

Pan Li, Hoang Dau, Gregory J. Puleo, Olgica Milenkovic

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Efficient Rank Aggregation via Lehmer Codes.

Pan Li, Arya Mazumdar, Olgica Milenkovic

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015

On recovery of sparse signals with block structures.

Pan Li, Wei Dai, Huadong Meng, Xiqin Wang

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

A Feature Selection Method Based on the Sparse Multi-Class SVM for Fingerprinting Localization.

Pan Li, Huadong Meng, Xiqin Wang

Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

2013

Hyperparameter-free DOA estimation under power constraints.

Chundi Zheng, Gang Li, Pan Li, Xiqin Wang

Proceedings of the IEEE International Conference on Acoustics, 2013