Jingrui He

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 182

Top Venues

Publications

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Contextual Bandits with Online Neural Regression. ICLR (2024)
Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. WWW (Companion Volume) (2024)
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW (2024)
Yikun Ban, Yunzhe Qi, Jingrui He
Neural Contextual Bandits for Personalized Recommendation. WWW (Companion Volume) (2024)
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR (2024)
Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR (2024)
Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
Meta Clustering of Neural Bandits. KDD (2024)
Xinrui He, Shuo Liu, Jacky Keung, Jingrui He
Co-clustering for Federated Recommender System. WWW (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. CoRR (2024)
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD (2024)
Zihao Li, Yuyi Ao, Jingrui He
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval. SIGIR (2024)
Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67 (8) (2024)
Jun Wu, Jingrui He, Hanghang Tong
Distributional Network of Networks for Modeling Data Heterogeneity. KDD (2024)
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. ICLR (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. ICLR (2024)
Haonan Wang, Ziwei Wu, Jingrui He
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes. WSDM (2024)
Dawei Zhou, Jingrui He
Rare Category Analysis for Complex Data: A Review. ACM Comput. Surv. 56 (5) (2024)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
Fairgen: Towards Fair Graph Generation. ICDE (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR (2024)
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
Automated Contrastive Learning Strategy Search for Time Series. CoRR (2024)
Zihao Li, Yuyi Ao, Jingrui He
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval. CoRR (2024)
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. CoRR (2024)
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR (2024)
Wenxuan Bao, Jun Wu, Jingrui He
BOBA: Byzantine-Robust Federated Learning with Label Skewness. AISTATS (2024)
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
Non-IID Transfer Learning on Graphs. AAAI (2023)
Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM (2023)
Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He
Graph-Structured Gaussian Processes for Transferable Graph Learning. NeurIPS (2023)
Jun Wu, Jingrui He
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. ICML (2023)
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. CoRR (2023)
Lecheng Zheng, Yada Zhu, Jingrui He
Fairness-aware Multi-view Clustering. CoRR (2023)
Yunzhe Qi, Yikun Ban, Jingrui He
Graph Neural Bandits. CoRR (2023)
Yikun Ban, Yunzhe Qi, Jingrui He
Neural Contextual Bandits for Personalized Recommendation. CoRR (2023)
Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. WWW (2023)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
Neural Exploitation and Exploration of Contextual Bandits. CoRR (2023)
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Contextual Bandits with Online Neural Regression. CoRR (2023)
Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He
Personalized Federated Learning with Parameter Propagation. KDD (2023)
Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
Meta-Learning with Neural Bandit Scheduler. NeurIPS (2023)
Xinrui He, Tianxin Wei, Jingrui He
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CoRR (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. CoRR (2023)
Jun Wu, Jingrui He
Trustworthy Transfer Learning: Transferability and Trustworthiness. KDD (2023)
Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD (2023)
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. 25 (1) (2023)
Zihao Li, Dongqi Fu, Jingrui He
Everything Evolves in Personalized PageRank. WWW (2023)
Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
Topological Augmentation for Class-Imbalanced Node Classification. CoRR (2023)
Yunzhe Qi, Yikun Ban, Jingrui He
Graph Neural Bandits. KDD (2023)
Lecheng Zheng, Yada Zhu, Jingrui He
Fairness-aware Multi-view Clustering. SDM (2023)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
FairGen: Towards Fair Graph Generation. CoRR (2023)
Haoyang Liu, Tiancheng Xing, Luwei Li, Vibhu Dalal, Jingrui He, Haohan Wang
Dataset Distillation via the Wasserstein Metric. CoRR (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. NeurIPS (2023)
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR (2023)
Xinrui He, Tianxin Wei, Jingrui He
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CIKM (2023)
Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He
Adaptive Knowledge Transfer on Evolving Domains. Big Data (2022)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR (2022)
Dongqi Fu, Jingrui He
Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future. Frontiers Big Data 5 (2022)
Ziwei Wu, Jingrui He
Fairness-aware Model-agnostic Positive and Unlabeled Learning. FAccT (2022)
Ziwei Wu, Jingrui He
Fairness-aware Model-agnostic Positive and Unlabeled Learning. CoRR (2022)
Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. CIKM (2022)
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR (2022)
Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He
Adaptive Transfer Learning for Plant Phenotyping. CoRR (2022)
Yao Zhou, Jun Wu, Haixun Wang, Jingrui He
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. CIKM (2022)
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS (2022)
Dongqi Fu, Jingrui He
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. Big Data (2022)
Tianxin Wei, Jingrui He
Comprehensive Fair Meta-learned Recommender System. KDD (2022)
Jun Wu, Jingrui He
A Unified Meta-Learning Framework for Dynamic Transfer Learning. IJCAI (2022)
Jun Wu, Jingrui He
Dynamic transfer learning with progressive meta-task scheduler. Frontiers Big Data 5 (2022)
Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He
Neural Collaborative Filtering Bandits via Meta Learning. CoRR (2022)
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR (2022)
Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth
Distribution-Informed Neural Networks for Domain Adaptation Regression. NeurIPS (2022)
Jun Wu, Jingrui He
A Unified Meta-Learning Framework for Dynamic Transfer Learning. CoRR (2022)
Yunzhe Qi, Yikun Ban, Jingrui He
Neural Bandit with Arm Group Graph. KDD (2022)
Yunzhe Qi, Yikun Ban, Jingrui He
Neural Bandit with Arm Group Graph. CoRR (2022)
Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR (2022)
Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen
iNet: visual analysis of irregular transition in multivariate dynamic networks. Frontiers Comput. Sci. 16 (2) (2022)
Tianxin Wei, Jingrui He
Comprehensive Fair Meta-learned Recommender System. CoRR (2022)
Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR (2022)
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Improved Algorithms for Neural Active Learning. NeurIPS (2022)
Haonan Wang, Ziwei Wu, Jingrui He
Training Fair Deep Neural Networks by Balancing Influence. CoRR (2022)
Jun Wu, Jingrui He
Domain Adaptation with Dynamic Open-Set Targets. KDD (2022)
Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He
Meta-Learned Metrics over Multi-Evolution Temporal Graphs. KDD (2022)
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM (2022)
Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
Visual Analytics of Anomalous User Behaviors: A Survey. IEEE Trans. Big Data 8 (2) (2022)
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Improved Algorithms for Neural Active Learning. CoRR (2022)
Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
DISCO: Comprehensive and Explainable Disinformation Detection. CIKM (2022)
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
Contrastive Learning with Complex Heterogeneity. KDD (2022)
Wenxuan Bao, Jingrui He
BOBA: Byzantine-Robust Federated Learning with Label Skewness. CoRR (2022)
Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He
Deep Active Learning by Leveraging Training Dynamics. NeurIPS (2022)
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
Non-IID Transfer Learning on Graphs. CoRR (2022)
Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems. CoRR (2021)
Yikun Ban, Jingrui He, Curtiss B. Cook
Multi-facet Contextual Bandits: A Neural Network Perspective. CoRR (2021)
Dongqi Fu, Jingrui He
SDG: A Simplified and Dynamic Graph Neural Network. SIGIR (2021)
Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
Outlier Impact Characterization for Time Series Data. AAAI (2021)
Xu Liu, Congzhe Su, Amey Barapatre, Xiaoting Zhao, Diane Hu, Chu-Cheng Hsieh, Jingrui He
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce. IEEE Data Eng. Bull. 44 (2) (2021)
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
Controllable Gradient Item Retrieval. CoRR (2021)
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
Heterogeneous Contrastive Learning. CoRR (2021)
Yikun Ban, Jingrui He
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jingrui He