Jingrui He

335 papers A* 105A 31B 6Misc 1Journal 152Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs.
CoRR
Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He
2026 J jnl
Agentic Reasoning for Large Language Models.
CoRR
Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2026 J jnl
Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation.
Trans. Mach. Learn. Res.
Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He
2026 J jnl
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks.
CoRR
Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi Ma, Yun Huang, Chaowei Xiao, Bowen Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang
2026 J jnl
DiffKGW: Stealthy and Robust Diffusion Model Watermarking.
Trans. Mach. Learn. Res.
Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2026 A* conf
FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation.
WWW
Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026 J jnl
FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation.
CoRR
Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026 — conf
Harnessing Consistency for Robust Test-Time LLM Ensemble.
EACL (Findings)
Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2026 J jnl
Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning.
CoRR
Sirui Chen, Yunzhe Qi, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He
2026 J jnl
MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains.
CoRR
Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He
2026 J jnl
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents.
CoRR
Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026 J jnl
OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection.
CoRR
Lecheng Zheng, Dongqi Fu, Zihao Li, Jingrui He
2026 A* conf
Panda: Test-Time Adaptation with Negative Data Augmentation.
AAAI
Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2026 — conf
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis.
KDD (1)
Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong
2026 J jnl
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR.
CoRR
Haobo Xu, Sirui Chen, Ruizhong Qiu, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026 J jnl
Subspace Alignment for Vision-Language Model Test-time Adaptation.
CoRR
Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026 J jnl
TSAQA: Time Series Analysis Question And Answering Benchmark.
CoRR
Baoyu Jing, Sanhorn Chen, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong
2025 — conf
APEX
KDD (1)
Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
2025 J jnl
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning.
CoRR
Jiaru Zou, Ling Yang, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang
2025 A* conf
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.
ICML
Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025 J jnl
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.
CoRR
Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025 J jnl
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data.
CoRR
Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025 — conf
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
ACL (1)
Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2025 A conf
ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method.
CIKM
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
2025 J jnl
ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method.
CoRR
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
2025 A* conf
Cluster Aware Graph Anomaly Detection.
WWW
Lecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui He
2025 J jnl
CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation.
CoRR
Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He
2025 — conf
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization.
KDD (1)
Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025 J jnl
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization.
CoRR
Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025 J jnl
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.
CoRR
Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
2025 J jnl
Flow Matching Meets Biology and Life Science: A Survey.
CoRR
Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He
2025 J jnl
GTR: Graph-Table-RAG for Cross-Table Question Answering.
CoRR
Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He
2025 J jnl
Geometric-Disentangelment Unlearning.
CoRR
Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang
2025 A* conf
Graph4MM: Weaving Multimodal Learning with Structural Information.
ICML
Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025 J jnl
Graph4MM: Weaving Multimodal Learning with Structural Information.
CoRR
Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025 J jnl
Harnessing Consistency for Robust Test-Time LLM Ensemble.
CoRR
Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2025 J jnl
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality.
Trans. Mach. Learn. Res.
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
2025 A conf
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem.
AISTATS
Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
2025 J jnl
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem.
CoRR
Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
2025 — conf
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation.
ACL (Findings)
Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2025 J jnl
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative.
CoRR
Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Hanghang Tong, Jingrui He
2025 J jnl
Latent Collaboration in Multi-Agent Systems.
CoRR
Jiaru Zou, Xiyuan Yang, Ruizhong Qiu, Gaotang Li, Katherine Tieu, Pan Lu, Ke Shen, Hanghang Tong, Yejin Choi, Jingrui He, James Zou, Mengdi Wang, Ling Yang
2025 J jnl
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning.
CoRR
Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
2025 A* conf
Learnable Spatial-Temporal Positional Encoding for Link Prediction.
ICML
Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
2025 J jnl
Learnable Spatial-Temporal Positional Encoding for Link Prediction.
CoRR
Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
2025 — conf
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.
EMNLP (Findings)
Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025 A* conf
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation.
ICLR
Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2025 J jnl
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions.
CoRR
Wenxuan Bao, Ruxi Deng, Jingrui He
2025 B conf
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing.
FG
Jingrui He, A. Stephen McGough
2025 J jnl
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing.
CoRR
Jingrui He, Andrew Stephen McGough
2025 J jnl
NIRVANA: Structured pruning reimagined for large language models compression.
CoRR
Mengting Ai, Tianxin Wei, Sirui Chen, Jingrui He
2025 — conf
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity.
EMNLP (Findings)
Zihao Li, Feihao Fang, Xitong Zhang, Jiaru Zou, Zhining Liu, Wei Xiong, Ziwei Wu, Baoyu Jing, Jingrui He
2025 J jnl
Panda: Test-Time Adaptation with Negative Data Augmentation.
CoRR
Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2025 J jnl
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis.
CoRR
Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong
2025 A conf
PyG-SSL: A Graph Self-Supervised Learning Toolkit.
CIKM
Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2025 J jnl
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs.
CoRR
Jiaru Zou, Ling Yang, Jingwen Gu, Jiahao Qiu, Ke Shen, Jingrui He, Mengdi Wang
2025 — conf
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.
KDD (1)
Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025 J jnl
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.
CoRR
Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025 J jnl
Review-Based Explainable Recommendations: A Transparency Perspective.
Trans. Recomm. Syst.
Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang
2025 J jnl
Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance.
CoRR
Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong
2025 J jnl
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning.
CoRR
Jiaru Zou, Soumya Roy, Vinay Kumar Verma, Ziyi Wang, David Wipf, Pan Lu, Sumit Negi, James Zou, Jingrui He
2025 A* conf
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency.
ICLR
Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He
2025 J jnl
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors.
CoRR
Jun-Gi Jang, Jingrui He, Andrew Margenot, Hanghang Tong
2025 J jnl
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning.
CoRR
Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
2025 J jnl
Trustworthy Transfer Learning: A Survey.
J. Artif. Intell. Res.
Jun Wu, Jingrui He
2024 J jnl
APEX
CoRR
Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
2024 J jnl
AdaRC: Mitigating Graph Structure Shifts during Test-Time.
CoRR
Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2024 J jnl
Artificial Intelligence, Social Responsibility, and the Roles of the University.
Commun. ACM
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
2024 A conf
Automated Contrastive Learning Strategy Search for Time Series.
CIKM
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024 J jnl
Automated Contrastive Learning Strategy Search for Time Series.
CoRR
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024 A conf
BOBA: Byzantine-Robust Federated Learning with Label Skewness.
AISTATS
Wenxuan Bao, Jun Wu, Jingrui He
2024 J jnl
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
CoRR
Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2024 A* conf
Class-Imbalanced Graph Learning without Class Rebalancing.
ICML
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2024 A* conf
Co-clustering for Federated Recommender System.
WWW
Xinrui He, Shuo Liu, Jacky Keung, Jingrui He
2024 J jnl
Co-clustering for Federated Recommender System.
CoRR
Xinrui He, Shuo Liu, Jackey Keung, Jingrui He
2024 A* conf
Contextual Bandits with Online Neural Regression.
ICLR
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2024 A* conf
Distributional Network of Networks for Modeling Data Heterogeneity.
KDD
Jun Wu, Jingrui He, Hanghang Tong
2024 J jnl
DrGNN: Deep Residual Graph Neural Network with Contrastive Learning.
Trans. Mach. Learn. Res.
Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He
2024 J jnl
Fair Anomaly Detection For Imbalanced Groups.
CoRR
Ziwei Wu, Lecheng Zheng, Yuancheng Yu, Ruizhong Qiu, John R. Birge, Jingrui He
2024 A conf
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes.
WSDM
Haonan Wang, Ziwei Wu, Jingrui He
2024 A* conf
Fairgen: Towards Fair Graph Generation.
ICDE
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024 — conf
GPT Attack for Adversarial Privacy Policies.
BigCom
Isaac Joy, Jun Wu, Jingrui He
2024 J jnl
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection.
CoRR
Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
2024 A* conf
Graph Mixup on Approximate Gromov-Wasserstein Geodesics.
ICML
Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
2024 A* conf
Heterogeneous Contrastive Learning for Foundation Models and Beyond.
KDD
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024 J jnl
Heterogeneous Contrastive Learning for Foundation Models and Beyond.
CoRR
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024 J jnl
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality.
CoRR
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
2024 J jnl
LLM-Forest for Health Tabular Data Imputation.
CoRR
Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2024 J jnl
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs.
CoRR
Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong
2024 A* conf
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.
WWW
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024 A* conf
Meta Clustering of Neural Bandits.
KDD
Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024 J jnl
Meta Clustering of Neural Bandits.
CoRR
Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024 J jnl
Multi-modal Causal Structure Learning and Root Cause Analysis.
CoRR
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024 A* conf
Neural Active Learning Beyond Bandits.
ICLR
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024 J jnl
Neural Active Learning Beyond Bandits.
CoRR
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024 — conf
Neural Contextual Bandits for Personalized Recommendation.
WWW (Companion Volume)
Yikun Ban, Yunzhe Qi, Jingrui He
2024 J jnl
Online Multi-modal Root Cause Analysis.
CoRR
Lecheng Zheng, Zhengzhang Chen, Haifeng Chen, Jingrui He
2024 A* conf
PageRank Bandits for Link Prediction.
NeurIPS
Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024 J jnl
PageRank Bandits for Link Prediction.
CoRR
Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024 J jnl
Parametric Graph Representations in the Era of Foundation Models: A Survey and Position.
CoRR
Dongqi Fu, Liri Fang, Zihao Li, Hanghang Tong, Vetle I. Torvik, Jingrui He
2024 J jnl
Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs.
CoRR
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
2024 J jnl
PyG-SSL: A Graph Self-Supervised Learning Toolkit.
CoRR
Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2024 J jnl
Rare Category Analysis for Complex Data: A Review.
ACM Comput. Surv.
Dawei Zhou, Jingrui He
2024 A* conf
Robust Neural Contextual Bandit against Adversarial Corruptions.
NeurIPS
Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He
2024 A* conf
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval.
SIGIR
Zihao Li, Yuyi Ao, Jingrui He
2024 J jnl
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval.
CoRR
Zihao Li, Yuyi Ao, Jingrui He
2024 A* conf
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed.
NeurIPS
Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Jingrui He
2024 A* conf
Towards Editing Time Series.
NeurIPS
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2024 J jnl
Towards Multi-view Graph Anomaly Detection with Similarity-Guided Contrastive Clustering.
CoRR
Lecheng Zheng, John R. Birge, Yifang Zhang, Jingrui He
2024 A* conf
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
ICLR
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024 J jnl
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
CoRR
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024 J jnl
Transforming the Hybrid Cloud for Emerging AI Workloads.
CoRR
Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar
2024 — conf
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.
WWW (Companion Volume)
Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou
2024 J jnl
Trustworthy Transfer Learning: A Survey.
CoRR
Jun Wu, Jingrui He
2024 A* conf
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.
ICLR
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2024 J jnl
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.
CoRR
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2023 J jnl
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Jun Wu, Jingrui He
2023 A* conf
Adaptive Test-Time Personalization for Federated Learning.
NeurIPS
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023 J jnl
Adaptive Test-Time Personalization for Federated Learning.
CoRR
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023 J jnl
Contextual Bandits with Online Neural Regression.
CoRR
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2023 J jnl
Dataset Distillation via the Wasserstein Metric.
CoRR
Haoyang Liu, Tiancheng Xing, Luwei Li, Vibhu Dalal, Jingrui He, Haohan Wang
2023 A* conf
Everything Evolves in Personalized PageRank.
WWW
Zihao Li, Dongqi Fu, Jingrui He
2023 J jnl
FairGen: Towards Fair Graph Generation.
CoRR
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2023 A* conf
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.
WWW
Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
2023 A conf
Fairness-aware Multi-view Clustering.
SDM
Lecheng Zheng, Yada Zhu, Jingrui He
2023 J jnl
Fairness-aware Multi-view Clustering.
CoRR
Lecheng Zheng, Yada Zhu, Jingrui He
2023 A* conf
Graph Neural Bandits.
KDD
Yunzhe Qi, Yikun Ban, Jingrui He
2023 J jnl
Graph Neural Bandits.
CoRR
Yunzhe Qi, Yikun Ban, Jingrui He
2023 A* conf
Graph-Structured Gaussian Processes for Transferable Graph Learning.
NeurIPS
Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He
2023 B ed.
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023
IEEE Big Data
Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal
2023 A* conf
Meta-Learning with Neural Bandit Scheduler.
NeurIPS
Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
2023 A* conf
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.
ICML
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
2023 J jnl
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.
CoRR
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
2023 A conf
Natural and Artificial Dynamics in GNNs: A Tutorial.
WSDM
Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
2023 J jnl
Neural Contextual Bandits for Personalized Recommendation.
CoRR
Yikun Ban, Yunzhe Qi, Jingrui He
2023 J jnl
Neural Exploitation and Exploration of Contextual Bandits.
CoRR
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2023 A* conf
Non-IID Transfer Learning on Graphs.
AAAI
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
2023 A* conf
Optimizing the Collaboration Structure in Cross-Silo Federated Learning.
ICML
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023 J jnl
Optimizing the Collaboration Structure in Cross-Silo Federated Learning.
CoRR
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023 A* conf
Personalized Federated Learning with Parameter Propagation.
KDD
Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He
2023 J jnl
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.
CoRR
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023 J jnl
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.
SIGKDD Explor.
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023 A conf
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning.
CIKM
Xinrui He, Tianxin Wei, Jingrui He
2023 J jnl
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning.
CoRR
Xinrui He, Tianxin Wei, Jingrui He
2023 A* conf
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).
KDD
Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
2023 J jnl
Topological Augmentation for Class-Imbalanced Node Classification.
CoRR
Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2023 A* conf
Trustworthy Transfer Learning: Transferability and Trustworthiness.
KDD
Jun Wu, Jingrui He
2022 A* conf
A Unified Meta-Learning Framework for Dynamic Transfer Learning.
IJCAI
Jun Wu, Jingrui He
2022 J jnl
A Unified Meta-Learning Framework for Dynamic Transfer Learning.
CoRR
Jun Wu, Jingrui He
2022 B conf
Adaptive Knowledge Transfer on Evolving Domains.
IEEE Big Data
Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He
2022 J jnl
Adaptive Transfer Learning for Plant Phenotyping.
CoRR
Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He
2022 A conf
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning.
CIKM
Yao Zhou, Jun Wu, Haixun Wang, Jingrui He
2022 A* conf
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.
NeurIPS
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022 J jnl
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.
CoRR
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022 J jnl
BOBA: Byzantine-Robust Federated Learning with Label Skewness.
CoRR
Wenxuan Bao, Jingrui He
2022 A* conf
Comprehensive Fair Meta-learned Recommender System.
KDD
Tianxin Wei, Jingrui He
2022 J jnl
Comprehensive Fair Meta-learned Recommender System.
CoRR
Tianxin Wei, Jingrui He
2022 A* conf
Contrastive Learning with Complex Heterogeneity.
KDD
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
2022 A conf
DISCO: Comprehensive and Explainable Disinformation Detection.
CIKM
Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022 J jnl
DISCO: Comprehensive and Explainable Disinformation Detection.
CoRR
Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022 B conf
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data.
IEEE Big Data
Dongqi Fu, Jingrui He
2022 A* conf
Deep Active Learning by Leveraging Training Dynamics.
NeurIPS
Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He
2022 A* conf
Distribution-Informed Neural Networks for Domain Adaptation Regression.
NeurIPS
Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth
2022 A* conf
Domain Adaptation with Dynamic Open-Set Targets.
KDD
Jun Wu, Jingrui He
2022 J jnl
Dynamic transfer learning with progressive meta-task scheduler.
Frontiers Big Data
Jun Wu, Jingrui He
2022 A* conf
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits.
ICLR
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2022 — conf
Fairness-aware Model-agnostic Positive and Unlabeled Learning.
FAccT
Ziwei Wu, Jingrui He
2022 J jnl
Fairness-aware Model-agnostic Positive and Unlabeled Learning.
CoRR
Ziwei Wu, Jingrui He
2022 A* conf
Improved Algorithms for Neural Active Learning.
NeurIPS
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022 J jnl
Improved Algorithms for Neural Active Learning.
CoRR
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022 A conf
MentorGNN: Deriving Curriculum for Pre-Training GNNs.
CIKM
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022 J jnl
MentorGNN: Deriving Curriculum for Pre-Training GNNs.
CoRR
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022 A* conf
Meta-Learned Metrics over Multi-Evolution Temporal Graphs.
KDD
Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He
2022 J jnl
Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future.
Frontiers Big Data
Dongqi Fu, Jingrui He
2022 A* conf
Neural Bandit with Arm Group Graph.
KDD
Yunzhe Qi, Yikun Ban, Jingrui He
2022 J jnl
Neural Bandit with Arm Group Graph.
CoRR
Yunzhe Qi, Yikun Ban, Jingrui He
2022 J jnl
Neural Collaborative Filtering Bandits via Meta Learning.
CoRR
Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He
2022 J jnl
Non-IID Transfer Learning on Graphs.
CoRR
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
2022 J jnl
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning.
CoRR
Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski
2022 J jnl
Training Fair Deep Neural Networks by Balancing Influence.
CoRR
Haonan Wang, Ziwei Wu, Jingrui He
2022 A conf
TrustLOG: The First Workshop on Trustworthy Learning on Graphs.
CIKM
Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
2022 J jnl
Visual Analytics of Anomalous User Behaviors: A Survey.
IEEE Trans. Big Data
Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
2022 J jnl
iNet: visual analysis of irregular transition in multivariate dynamic networks.
Frontiers Comput. Sci.
Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen
2021 J jnl
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes.
IEEE Trans. Vis. Comput. Graph.
Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski
2021 A* conf
Controllable Gradient Item Retrieval.
WWW
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
2021 J jnl
Controllable Gradient Item Retrieval.
CoRR
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
2021 J jnl
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising.
CoRR
Yikun Ban, Jingrui He
2021 J jnl
DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks.
CoRR
Dongqi Fu, Jingrui He
2021 J jnl
Deep Active Learning by Leveraging Training Dynamics.
CoRR
Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He
2021 A* conf
Deep Co-Attention Network for Multi-View Subspace Learning.
WWW
Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
2021 J jnl
Deep Co-Attention Network for Multi-View Subspace Learning.
CoRR
Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
2021 J jnl
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits.
CoRR
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2021 J jnl
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems.
CoRR
Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang
2021 J jnl
Heterogeneous Contrastive Learning.
CoRR
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
2021 J jnl
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective.
ACM Trans. Knowl. Discov. Data
Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2021 A* conf
Indirect Invisible Poisoning Attacks on Domain Adaptation.
KDD
Jun Wu, Jingrui He
2021 J jnl
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce.
IEEE Data Eng. Bull.
Xu Liu, Congzhe Su, Amey Barapatre, Xiaoting Zhao, Diane Hu, Chu-Cheng Hsieh, Jingrui He
2021 A* conf
Local Clustering in Contextual Multi-Armed Bandits.
WWW
Yikun Ban, Jingrui He
2021 J jnl
Local Clustering in Contextual Multi-Armed Bandits.
CoRR
Yikun Ban, Jingrui He
2021 A* conf
Multi-facet Contextual Bandits: A Neural Network Perspective.
KDD
Yikun Ban, Jingrui He, Curtiss B. Cook
2021 J jnl
Multi-facet Contextual Bandits: A Neural Network Perspective.
CoRR
Yikun Ban, Jingrui He, Curtiss B. Cook
2021 A* conf
Outlier Impact Characterization for Time Series Data.
AAAI
Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
2021 A* conf
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.
KDD
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2021 A* conf
SDG: A Simplified and Dynamic Graph Neural Network.
SIGIR
Dongqi Fu, Jingrui He
2021 J jnl
Tackling Oversmoothing of GNNs with Contrastive Learning.
CoRR
Lecheng Zheng, Dongqi Fu, Jingrui He
2020 A* conf
A Data-Driven Graph Generative Model for Temporal Interaction Networks.
KDD
Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He
2020 A conf
A View-Adversarial Framework for Multi-View Network Embedding.
CIKM
Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He
2020 J jnl
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes.
CoRR
Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski
2020 — conf
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.
IEEE BigData
Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong
2020 J jnl
Complex heterogeneity learning: A theoretical and empirical study.
Pattern Recognit.
Pei Yang, Qi Tan, Jingrui He
2020 J jnl
Continuous Transfer Learning with Label-informed Distribution Alignment.
CoRR
Jun Wu, Jingrui He
2020 A* conf
Crowd Teaching with Imperfect Labels.
WWW
Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He
2020 A* conf
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.
WWW
Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
2020 J jnl
GAN-based Recommendation with Positive-Unlabeled Sampling.
CoRR
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2020 A* conf
Generic Outlier Detection in Multi-Armed Bandit.
KDD
Yikun Ban, Jingrui He
2020 J jnl
Generic Outlier Detection in Multi-Armed Bandit.
CoRR
Yikun Ban, Jingrui He
2020 A* conf
InFoRM: Individual Fairness on Graph Mining.
KDD
Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong
2020 A* conf
Local Motif Clustering on Time-Evolving Graphs.
KDD
Dongqi Fu, Dawei Zhou, Jingrui He
2020 J jnl
RCAnalyzer: visual analytics of rare categories in dynamic networks.
Frontiers Inf. Technol. Electron. Eng.
Jiacheng Pan, Dongming Han, Fangzhou Guo, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen
2020 J jnl
Robust Decentralized Learning for Neural Networks.
CoRR
Yao Zhou, Jun Wu, Jingrui He
2020 A* conf
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.
AAAI
Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
2019 J jnl
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping.
CoRR
Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi
2019 A conf
Convolution-Consistent Collective Matrix Completion.
CIKM
Xu Liu, Jingrui He, Sam Duddy, Liz O'Sullivan
2019 A* conf
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.
KDD
Jun Wu, Jingrui He, Jiejun Xu
2019 J jnl
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.
CoRR
Jun Wu, Jingrui He, Jiejun Xu
2019 A* conf
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.
IJCAI
Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
2019 A conf
Deep Multimodality Model for Multi-task Multi-view Learning.
SDM
Lecheng Zheng, Yu Cheng, Jingrui He
2019 J jnl
Deep Multimodality Model for Multi-task Multi-view Learning.
CoRR
Lecheng Zheng, Yu Cheng, Jingrui He
2019 A* conf
Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.
KDD
Dawei Zhou, Jingrui He
2019 J jnl
Location Prediction for Tweets.
Frontiers Big Data
Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski
2019 J jnl
Misc-GAN: A Multi-scale Generative Model for Graphs.
Frontiers Big Data
Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He
2019 J jnl
Multi-task Crowdsourcing via an Optimization Framework.
ACM Trans. Knowl. Discov. Data
Yao Zhou, Lei Ying, Jingrui He
2019 A* conf
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.
KDD
Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He
2019 A conf
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy.
CIKM
Jun Wu, Jingrui He
2019 A* conf
Task-Adversarial Co-Generative Nets.
KDD
Pei Yang, Qi Tan, Hanghang Tong, Jingrui He
2019 A conf
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.
CIKM
Zhining Liu, Dawei Zhou, Jingrui He
2019 J jnl
Visual Analytics of Anomalous User Behaviors: A Survey.
CoRR
Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
2018 A* conf
A Local Algorithm for Product Return Prediction in E-Commerce.
IJCAI
Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande
2018 — conf
A Winners-Take-All Incentive Mechanism for Crowd-Powered Systems.
NetEcon@SIGMETRICS
Pengfei Jiang, Weina Wang, Yao Zhou, Jingrui He, Lei Ying
2018 A* conf
E-tail Product Return Prediction via Hypergraph-based Local Graph Cut.
KDD
Jianbo Li, Jingrui He, Yada Zhu
2018 J jnl
Feature co-shrinking for co-clustering.
Pattern Recognit.
Qi Tan, Pei Yang, Jingrui He
2018 J jnl
Function-on-Function Regression with Mode-Sparsity Regularization.
ACM Trans. Knowl. Discov. Data
Pei Yang, Qi Tan, Jingrui He
2018 A conf
GTA
WSDM
Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2018 J jnl
Heterogeneous representation learning with separable structured sparsity regularization.
Knowl. Inf. Syst.
Pei Yang, Qi Tan, Yada Zhu, Jingrui He
2018 — ed.
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018
IEEE BigData
Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz
2018 — conf
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation.
IEEE BigData
Jun Wu, Jingrui He, Yongming Liu
2018 J jnl
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data.
CoRR
Jun Wu, Jingrui He, Yongming Liu
2018 J jnl
Inferring Anchor Links Based on Social Network Structure.
IEEE Access
Shuo Feng, Derong Shen, Tiezheng Nie, Yue Kou, Jingrui He, Ge Yu
2018 — conf
Motif-Preserving Dynamic Local Graph Cut.
IEEE BigData
Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski
2018 J jnl
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.
CoRR
Yao Zhou, Jingrui He
2018 J jnl
RCLens: Interactive Rare Category Exploration and Identification.
IEEE Trans. Vis. Comput. Graph.
Hanfei Lin, Siyuan Gao, David Gotz, Fan Du, Jingrui He, Nan Cao
2018 A* conf
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.
KDD
Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan
2018 — ch.
Social Phishing.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Yada Zhu, Jingrui He
2018 — conf
Source Free Domain Adaptation Using an Off-the-Shelf Classifier.
IEEE BigData
Arun Reddy Nelakurthi, Ross Maciejewski, Jingrui He
2018 A* conf
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.
KDD
Yao Zhou, Arun Reddy Nelakurthi, Jingrui He
2018 J jnl
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.
CoRR
Yao Zhou, Arun Reddy Nelakurthi, Jingrui He
2017 A* conf
A Local Algorithm for Structure-Preserving Graph Cut.
KDD
Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2017 A* conf
A Randomized Approach for Crowdsourcing in the Presence of Multiple Views.
ICDM
Yao Zhou, Jingrui He
2017 J jnl
Discovering rare categories from graph streams.
Data Min. Knowl. Discov.
Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He
2017 A* conf
Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization.
AAAI
Arun Reddy Nelakurthi, Jingrui He
2017 A conf
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.
SDM
Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong
2017 A* conf
HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data.
ICDM
Jianbo Li, Jingrui He, Yada Zhu
2017 A* conf
Learning from Data Heterogeneity: Algorithms and Applications.
IJCAI
Jingrui He
2017 A conf
Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach.
SDM
Yada Zhu, Jianbo Li, Jingrui He
2017 A* conf
Local Algorithm for User Action Prediction Towards Display Ads.
KDD
Hongxia Yang, Yada Zhu, Jingrui He
2017 A* conf
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.
KDD
Pei Yang, Qi Tan, Jingrui He
2017 A conf
MultiC
SDM
Yao Zhou, Lei Ying, Jingrui He
2017 J jnl
Towards Optimal Connectivity on Multi-Layered Networks.
IEEE Trans. Knowl. Data Eng.
Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2017 A conf
User-guided Cross-domain Sentiment Classification.
SDM
Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He
2016 J jnl
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.
IEEE Trans. Knowl. Data Eng.
Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He
2016 A* conf
Bi-Level Rare Temporal Pattern Detection.
ICDM
Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo
2016 J jnl
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.
ACM Trans. Knowl. Discov. Data
Yada Zhu, Jingrui He
2016 A* conf
Crowdsourcing via Tensor Augmentation and Completion.
IJCAI
Yao Zhou, Jingrui He
2016 A* conf
Functional Regression with Mode-Sparsity Constraint.
ICDM
Pei Yang, Jingrui He
2016 A* conf
Heterogeneous Representation Learning with Structured Sparsity Regularization.
ICDM
Pei Yang, Jingrui He
2016 J jnl
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
ACM Trans. Knowl. Discov. Data
Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He
2015 A* conf
A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity.
ICDM
Pei Yang, Jingrui He
2015 A conf
A Graph-based Recommendation across Heterogeneous Domains.
CIKM
Deqing Yang, Jingrui He, Huazheng Qin, Yanghua Xiao, Wei Wang
2015 J jnl
A general framework for predictive tensor modeling with domain knowledge.
Data Min. Knowl. Discov.
Yada Zhu, Jingrui He, Richard D. Lawrence
2015 A* conf
Co-Clustering based Dual Prediction for Cargo Pricing Optimization.
KDD
Yada Zhu, Hongxia Yang, Jingrui He
2015 — conf
Cross-Site Virtual Social Network Construction.
ICDM Workshops
Chenhao Xie, Deqing Yang, Jingrui He, Yanghua Xiao
2015 A conf
Hierarchical Active Transfer Learning.
SDM
David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu
2015 A conf
Learning Complex Rare Categories with Dual Heterogeneity.
SDM
Pei Yang, Jingrui He, Jia-Yu Pan
2015 A* conf
MUVIR: Multi-View Rare Category Detection.
IJCAI
Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu
2015 A* conf
Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning.
KDD
Pei Yang, Jingrui He
2015 A* conf
On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.
ICDM
Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2015 A* conf
Rare Category Detection on Time-Evolving Graphs.
ICDM
Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He
2014 A* conf
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.
ICDM
Yada Zhu, Jingrui He
2014 A* conf
Learning from Label and Feature Heterogeneity.
ICDM
Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu
2014 A* conf
Learning with dual heterogeneity: a nonparametric bayes model.
KDD
Hongxia Yang, Jingrui He
2014 A conf
Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.
SDM
Jingrui He, Yan Liu, Qiang Yang
2014 — ch.
Social Engineering/Phishing.
Encyclopedia of Social Network Analysis and Mining
Jingrui He, Yada Zhu
2013 A* conf
Improving Traffic Prediction with Tweet Semantics.
IJCAI
Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, Rick Lawrence
2013 A* conf
MI2LS: multi-instance learning from multiple informationsources.
KDD
Dan Zhang, Jingrui He, Richard D. Lawrence
2013 — conf
MILEAGE: Multiple Instance LEArning with Global Embedding.
ICML (3)
Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence
2013 A* ed.
The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013
KDD
Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy
2012 A conf
Adaptive Multi-task Sparse Learning with an Application to fMRI Study.
SDM
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell
2012 J jnl
An effective framework for characterizing rare categories.
Frontiers Comput. Sci.
Jingrui He, Hanghang Tong, Jaime G. Carbonell
2012 — book
Analysis of Rare Categories
Jingrui He
2012 — conf
GenDeR: A Generic Diversified Ranking Algorithm.
NIPS
Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski
2012 A* conf
Hierarchical Modeling with Tensor Inputs.
AAAI
Yada Zhu, Jingrui He, Rick Lawrence
2012 A* conf
Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.
ICDM
Jingrui He, Yada Zhu
2011 A* conf
A Graphbased Framework for Multi-Task Multi-View Learning.
ICML
Jingrui He, Rick Lawrence
2011 A* conf
Diversified ranking on large graphs: an optimization viewpoint.
KDD
Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin
2011 A* conf
Multi-view transfer learning with a large margin approach.
KDD
Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence
2010 A conf
Co-selection of Features and Instances for Unsupervised Rare Category Analysis.
SDM
Jingrui He, Jaime G. Carbonell
2010 J jnl
Coselection of features and instances for unsupervised rare category analysis.
Stat. Anal. Data Min.
Jingrui He, Jaime G. Carbonell
2010 — conf
Ensemble-Based Method for Task 2: Predicting Traffic Jam.
ICDM Workshops
Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter
2010 A* conf
Rare Category Characterization.
ICDM
Jingrui He, Hanghang Tong, Jaime G. Carbonell
2010 — conf
Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.
ICDM Workshops
Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz
2009 A conf
Graph-based transfer learning.
CIKM
Jingrui He, Yan Liu, Richard D. Lawrence
2009 A conf
Prior-Free Rare Category Detection.
SDM
Jingrui He, Jaime G. Carbonell
2008 A* conf
Graph-Based Rare Category Detection.
ICDM
Jingrui He, Yan Liu, Richard D. Lawrence
2008 Misc conf
Rare Class Discovery Based on Active Learning.
ISAIM
Jingrui He, Jaime G. Carbonell
2007 J jnl
An evolutionary system for near-regular texture synthesis.
Pattern Recognit.
Fei Wu, Changshui Zhang, Jingrui He
2007 — conf
Asymmetric Gradient Boosting with Application to Spam Filtering.
CEAS
Jingrui He, Bo Thiesson
2007 A* conf
Graph-Based Semi-Supervised Learning as a Generative Model.
IJCAI
Jingrui He, Jaime G. Carbonell, Yan Liu
2007 — conf
Nearest-Neighbor-Based Active Learning for Rare Category Detection.
NIPS
Jingrui He, Jaime G. Carbonell
2006 J jnl
Generalized Manifold-Ranking-Based Image Retrieval.
IEEE Trans. Image Process.
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2006 J jnl
Manifold-Ranking-Based Keyword Propagation for Image Retrieval.
EURASIP J. Adv. Signal Process.
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang
2005 — conf
A Unified Optimization Based Learning Method for Image Retrieval.
CVPR (2)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang
2005 — conf
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.
ISNN (3)
Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li
2005 — conf
Boosting Web Image Search by Co-Ranking.
ICASSP (2)
Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong
2005 A* conf
Graph based multi-modality learning.
ACM Multimedia
Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma
2005 — conf
Internet Traffic Prediction by W-Boost: Classification and Regression.
ISNN (3)
Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen
2005 B conf
Learning No-Reference Quality Metric by Examples.
MMM
Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma
2005 — conf
Multiple random walk and its application in content-based image retrieval.
Multimedia Information Retrieval
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang
2004 — conf
A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction.
ISNN (2)
Hanghang Tong, Chongrong Li, Jingrui He
2004 — conf
Automatic Peak Number Detection in Image Symmetry Analysis.
PCM (3)
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2004 — conf
Classification of Digital Photos Taken by Photographers or Home Users.
PCM (1)
Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang
2004 A* conf
Manifold-ranking based image retrieval.
ACM Multimedia
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2004 — conf
Mean version space: a new active learning method for content-based image retrieval.
Multimedia Information Retrieval
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004 — conf
Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.
PCM (2)
Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2004 B conf
Symmetry feature in content-based image retrieval.
ICIP
Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004 — conf
W-Boost and Its Application to Web Image Classification.
ICPR (1)
Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang