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Jingrui He

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

154

Venues

24

Active years

2004–2026

Best venue rank

A*

Where they publish

Papers

154 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIPanda: Test-Time Adaptation with Negative Data Augmentation.Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2026ACLMem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents.Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026ACLAdaFuse: Adaptive Ensemble Decoding for Large Language Models.Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He
2026ACLPrune as You Generate: Online Rollout Pruning for Faster and Better RLVR.Haobo Xu, Sirui Chen, Ruizhong Qiu, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026ACLCopyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks.Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Zhenqiang Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi W. Ma, Chaowei Xiao, Bo Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang
2026ACLPAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs.Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He
2026ACLRAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking.Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He
2026EACLHarnessing Consistency for Robust Test-Time LLM Ensemble.Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2026KDDPowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis.Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong
2026WWWFeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation.Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2025ACLCan Graph Neural Networks Learn Language with Extremely Weak Text Supervision?Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2025ACLLLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation.Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2025AISTATSInvariant Link Selector for Spatial-Temporal Out-of-Distribution Problem.Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
2025CIKMClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method.Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He
2025CIKMPyG-SSL: A Graph Self-Supervised Learning Toolkit.Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2025EMNLPNot All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity.Zihao Li, Feihao Fang, Xitong Zhang, Jiaru Zou, Zhining Liu, Wei Xiong, Ziwei Wu, Baoyu Jing, Jingrui He
2025EMNLPLearning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025ICCVLatte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning.Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
2025ICCVDataset Distillation via the Wasserstein Metric.Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang
2025ICLRTemporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency.Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He
2025ICLRMatcha: Mitigating Graph Structure Shifts with Test-Time Adaptation.Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2025ICMLBreaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025ICMLGraph4MM: Weaving Multimodal Learning with Structural Information.Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025ICMLLearnable Spatial-Temporal Positional Encoding for Link Prediction.Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
2025KDDResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025KDDAPEXZihao Li, Dongqi Fu, Mengting Ai, Jingrui He
2025KDDConnecting Domains and Contrasting Samples: A Ladder for Domain Generalization.Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025WWWCluster Aware Graph Anomaly Detection.Lecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui He
2024AISTATSBOBA: Byzantine-Robust Federated Learning with Label Skewness.Wenxuan Bao, Jun Wu, Jingrui He
2024CIKMAutomated Contrastive Learning Strategy Search for Time Series.Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024ICDEFairgen: Towards Fair Graph Generation.Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024ICLRNeural Active Learning Beyond Bandits.Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024ICLRContextual Bandits with Online Neural Regression.Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2024ICLRVCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2024ICLRTowards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024ICMLClass-Imbalanced Graph Learning without Class Rebalancing.Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2024ICMLGraph Mixup on Approximate Gromov-Wasserstein Geodesics.Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
2024KDDDistributional Network of Networks for Modeling Data Heterogeneity.Jun Wu, Jingrui He, Hanghang Tong
2024KDDMeta Clustering of Neural Bandits.Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024KDDHeterogeneous Contrastive Learning for Foundation Models and Beyond.Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024WWWNeural Contextual Bandits for Personalized Recommendation.Yikun Ban, Yunzhe Qi, Jingrui He
2024WWWTrustLOG: The Second Workshop on Trustworthy Learning on Graphs.Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou
2024WWWCo-clustering for Federated Recommender System.Xinrui He, Shuo Liu, Jacky Keung, Jingrui He
2024WWWMULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024SIGIRSpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval.Zihao Li, Yuyi Ao, Jingrui He
2024WSDMFairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes.Haonan Wang, Ziwei Wu, Jingrui He
2023AAAINon-IID Transfer Learning on Graphs.Jun Wu, Jingrui He, Elizabeth A. Ainsworth
2023CIKMRobust Basket Recommendation via Noise-tolerated Graph Contrastive Learning.Xinrui He, Tianxin Wei, Jingrui He
2023ICMLOptimizing the Collaboration Structure in Cross-Silo Federated Learning.Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023ICMLNTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
2023KDDThe 3rd Workshop on Graph Learning Benchmarks (GLB 2023).Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
2023KDDPersonalized Federated Learning with Parameter Propagation.Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He
2023KDDGraph Neural Bandits.Yunzhe Qi, Yikun Ban, Jingrui He
2023KDDTrustworthy Transfer Learning: Transferability and Trustworthiness.Jun Wu, Jingrui He
2023WWWFairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
2023WWWEverything Evolves in Personalized PageRank.Zihao Li, Dongqi Fu, Jingrui He
2023WSDMNatural and Artificial Dynamics in GNNs: A Tutorial.Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
2023SDMFairness-aware Multi-view Clustering.Lecheng Zheng, Yada Zhu, Jingrui He
2022CIKMDISCO: Comprehensive and Explainable Disinformation Detection.Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022CIKMTrustLOG: The First Workshop on Trustworthy Learning on Graphs.Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
2022CIKMAdversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning.Yao Zhou, Jun Wu, Haixun Wang, Jingrui He
2022CIKMMentorGNN: Deriving Curriculum for Pre-Training GNNs.Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022ICLREE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits.Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2022IJCAIA Unified Meta-Learning Framework for Dynamic Transfer Learning.Jun Wu, Jingrui He
2022KDDDomain Adaptation with Dynamic Open-Set Targets.Jun Wu, Jingrui He
2022KDDMeta-Learned Metrics over Multi-Evolution Temporal Graphs.Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He
2022KDDNeural Bandit with Arm Group Graph.Yunzhe Qi, Yikun Ban, Jingrui He
2022KDDComprehensive Fair Meta-learned Recommender System.Tianxin Wei, Jingrui He
2022KDDContrastive Learning with Complex Heterogeneity.Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
2021AAAIOutlier Impact Characterization for Time Series Data.Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
2021KDDMulti-facet Contextual Bandits: A Neural Network Perspective.Yikun Ban, Jingrui He, Curtiss B. Cook
2021KDDIndirect Invisible Poisoning Attacks on Domain Adaptation.Jun Wu, Jingrui He
2021KDDPURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Krpeoglu, Kannan Achan, Jingrui He
2021WWWLocal Clustering in Contextual Multi-Armed Bandits.Yikun Ban, Jingrui He
2021WWWControllable Gradient Item Retrieval.Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
2021WWWDeep Co-Attention Network for Multi-View Subspace Learning.Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
2021SIGIRSDG: A Simplified and Dynamic Graph Neural Network.Dongqi Fu, Jingrui He
2020AAAITowards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
2020CIKMA View-Adversarial Framework for Multi-View Network Embedding.Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He
2020KDDGeneric Outlier Detection in Multi-Armed Bandit.Yikun Ban, Jingrui He
2020KDDLocal Motif Clustering on Time-Evolving Graphs.Dongqi Fu, Dawei Zhou, Jingrui He
2020KDDInFoRM: Individual Fairness on Graph Mining.Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong
2020KDDA Data-Driven Graph Generative Model for Temporal Interaction Networks.Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He
2020WWWCrowd Teaching with Imperfect Labels.Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He
2020WWWDomain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
2019CIKMConvolution-Consistent Collective Matrix Completion.Xu Liu, Jingrui He, Sam Duddy, Liz O'Sullivan
2019CIKMTowards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.Zhining Liu, Dawei Zhou, Jingrui He
2019CIKMScalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy.Jun Wu, Jingrui He
2019IJCAIDeep Multi-Task Learning with Adversarial-and-Cooperative Nets.Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
2019KDDDEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.Jun Wu, Jingrui He, Jiejun Xu
2019KDDTask-Adversarial Co-Generative Nets.Pei Yang, Qi Tan, Hanghang Tong, Jingrui He
2019KDDGold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.Dawei Zhou, Jingrui He
2019KDDOptimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He
2019SDMDeep Multimodality Model for Multi-task Multi-view Learning.Lecheng Zheng, Yu Cheng, Jingrui He
2018IJCAIA Local Algorithm for Product Return Prediction in E-Commerce.Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande
2018KDDE-tail Product Return Prediction via Hypergraph-based Local Graph Cut.Jianbo Li, Jingrui He, Yada Zhu
2018KDDSPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan
2018KDDUnlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.Yao Zhou, Arun Reddy Nelakurthi, Jingrui He
2018WSDMGTAJiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2017AAAIFinding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization.Arun Reddy Nelakurthi, Jingrui He
2017ICDMHiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data.Jianbo Li, Jingrui He, Yada Zhu
2017ICDMA Randomized Approach for Crowdsourcing in the Presence of Multiple Views.Yao Zhou, Jingrui He
2017IJCAILearning from Data Heterogeneity: Algorithms and Applications.Jingrui He
2017KDDMulti-task Function-on-function Regression with Co-grouping Structured Sparsity.Pei Yang, Qi Tan, Jingrui He
2017KDDLocal Algorithm for User Action Prediction Towards Display Ads.Hongxia Yang, Yada Zhu, Jingrui He
2017KDDA Local Algorithm for Structure-Preserving Graph Cut.Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2017SDMUser-guided Cross-domain Sentiment Classification.Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He
2017SDMHiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong
2017SDMMultiCYao Zhou, Lei Ying, Jingrui He
2017SDMLearning from Multi-Modality Multi-Resolution Data: an Optimization Approach.Yada Zhu, Jianbo Li, Jingrui He
2016ICDMHeterogeneous Representation Learning with Structured Sparsity Regularization.Pei Yang, Jingrui He
2016ICDMFunctional Regression with Mode-Sparsity Constraint.Pei Yang, Jingrui He
2016ICDMBi-Level Rare Temporal Pattern Detection.Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo
2016IJCAICrowdsourcing via Tensor Augmentation and Completion.Yao Zhou, Jingrui He
2015CIKMA Graph-based Recommendation across Heterogeneous Domains.Deqing Yang, Jingrui He, Huazheng Qin, Yanghua Xiao, Wei Wang
2015ICDMOn the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2015ICDMCross-Site Virtual Social Network Construction.Chenhao Xie, Deqing Yang, Jingrui He, Yanghua Xiao
2015ICDMA Graph-Based Hybrid Framework for Modeling Complex Heterogeneity.Pei Yang, Jingrui He
2015ICDMRare Category Detection on Time-Evolving Graphs.Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He
2015IJCAIMUVIR: Multi-View Rare Category Detection.Dawei Zhou, Jingrui He, K. Seluk Candan, Hasan Davulcu
2015KDDModel Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning.Pei Yang, Jingrui He
2015KDDCo-Clustering based Dual Prediction for Cargo Pricing Optimization.Yada Zhu, Hongxia Yang, Jingrui He
2015SDMHierarchical Active Transfer Learning.David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu
2015SDMLearning Complex Rare Categories with Dual Heterogeneity.Pei Yang, Jingrui He, Jia-Yu Pan
2014ICDMLearning from Label and Feature Heterogeneity.Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu
2014ICDMCo-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.Yada Zhu, Jingrui He
2014KDDLearning with dual heterogeneity: a nonparametric bayes model.Hongxia Yang, Jingrui He
2014SDMLinking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.Jingrui He, Yan Liu, Qiang Yang
2013ICMLMILEAGE: Multiple Instance LEArning with Global Embedding.Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence
2013IJCAIImproving Traffic Prediction with Tweet Semantics.Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, Rick Lawrence
2013KDDMI2LS: multi-instance learning from multiple informationsources.Dan Zhang, Jingrui He, Richard D. Lawrence
2012AAAIHierarchical Modeling with Tensor Inputs.Yada Zhu, Jingrui He, Rick Lawrence
2012ICDMHierarchical Multi-task Learning with Application to Wafer Quality Prediction.Jingrui He, Yada Zhu
2012SDMAdaptive Multi-task Sparse Learning with an Application to fMRI Study.Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell
2011ICMLA Graphbased Framework for Multi-Task Multi-View Learning.Jingrui He, Rick Lawrence
2011KDDDiversified ranking on large graphs: an optimization viewpoint.Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin
2011KDDMulti-view transfer learning with a large margin approach.Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence
2010ICDMEnsemble-Based Method for Task 2: Predicting Traffic Jam.Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter
2010ICDMRare Category Characterization.Jingrui He, Hanghang Tong, Jaime G. Carbonell
2010ICDMTraffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz
2010SDMCo-selection of Features and Instances for Unsupervised Rare Category Analysis.Jingrui He, Jaime G. Carbonell
2009CIKMGraph-based transfer learning.Jingrui He, Yan Liu, Richard D. Lawrence
2009SDMPrior-Free Rare Category Detection.Jingrui He, Jaime G. Carbonell
2008ICDMGraph-Based Rare Category Detection.Jingrui He, Yan Liu, Richard D. Lawrence
2008ISAIMRare Class Discovery Based on Active Learning.Jingrui He, Jaime G. Carbonell
2007IJCAIGraph-Based Semi-Supervised Learning as a Generative Model.Jingrui He, Jaime G. Carbonell, Yan Liu
2005CVPRA Unified Optimization Based Learning Method for Image Retrieval.Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang
2005ICASSPBoosting Web Image Search by Co-Ranking.Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong
2005ISNNInternet Traffic Prediction by W-Boost: Classification and Regression.Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen
2005ISNNAnomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li
2005MMMLearning No-Reference Quality Metric by Examples.Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma
2004ICIPSymmetry feature in content-based image retrieval.Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004ICPRW-Boost and Its Application to Web Image Classification.Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004ISNNA Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction.Hanghang Tong, Chongrong Li, Jingrui He