ML Anthology

He, Jingrui

64 publications

TMLR 2026 Bi-Level Hierarchical Neural Contextual Bandits for Online Recommendation Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He
TMLR 2026 DiffKGW: Stealthy and Robust Diffusion Model Watermarking 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
ICLR 2026 Geometric Constraints for Small Language Models to Understand and Expand Scientific Taxonomies Liri Fang, Dongqi Fu, Jiawei Han, Jingrui He, Vetle I Torvik
ICLR 2026 Influence-Preserving Proxies for Gradient-Based Data Selection in LLM FineTuning Sirui Chen, Yunzhe Qi, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He
ICLR 2026 Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He
ICLR 2026 MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik Hamann, Jingrui He
ICLR 2026 OwlEye: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection Lecheng Zheng, Dongqi Fu, Zihao Li, Jingrui He
ICLR 2026 TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning Jiaru Zou, Soumya Roy, Vinay Kumar Verma, Ziyi Wang, David Wipf, Pan Lu, Sumit Negi, James Zou, Jingrui He
ICML 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong
NeurIPS 2025 CLIMB: Class-Imbalanced Learning Benchmark on Tabular Data Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong
ICCV 2025 Dataset Distillation via the Wasserstein Metric Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang
ICML 2025 Graph4MM: Weaving Multimodal Learning with Structural Information Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
TMLR 2025 Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
AISTATS 2025 Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
ICCV 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
ICML 2025 Learnable Spatial-Temporal Positional Encoding for Link Prediction Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
ICLR 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
NeurIPS 2025 Mint: A Simple Test-Time Adaptation of Vision-Language Models Against Common Corruptions Wenxuan Bao, Ruxi Deng, Jingrui He
NeurIPS 2025 ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs Jiaru Zou, Ling Yang, Jingwen Gu, Jiahao Qiu, Ke Shen, Jingrui He, Mengdi Wang
ICLRW 2025 TASP: Preserving Training Dynamics in Transformers via NTK-Aware Structured Pruning Mengting Ai, Tianxin Wei, Jingrui He
ICLR 2025 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He
NeurIPS 2025 Transformer Copilot: Learning from the Mistake Log in LLM Fine-Tuning Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
JAIR 2025 Trustworthy Transfer Learning: A Survey Jun Wu, Jingrui He
AISTATS 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao, Jun Wu, Jingrui He
ICML 2024 Class-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
ICLR 2024 Contextual Bandits with Online Neural Regression Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
TMLR 2024 DrGNN: Deep Residual Graph Neural Network with Contrastive Learning Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He
ICMLW 2024 Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
ICML 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
ICLR 2024 Neural Active Learning Beyond Bandits Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
NeurIPS 2024 PageRank Bandits for Link Prediction Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
NeurIPS 2024 Robust Neural Contextual Bandit Against Adversarial Corruptions Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He
NeurIPS 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik Hamann, Jingrui He
NeurIPS 2024 Towards Editing Time Series Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
ICLR 2024 Towards 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
ICLR 2024 VCR-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
NeurIPS 2023 Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
NeurIPS 2023 Graph-Structured Gaussian Processes for Transferable Graph Learning Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He
NeurIPS 2023 Meta-Learning with Neural Bandit Scheduler Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
ICML 2023 NTK-Approximating MLP Fusion for Efficient Language Model Fine-Tuning Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
AAAI 2023 Non-IID Transfer Learning on Graphs Jun Wu, Jingrui He, Elizabeth A. Ainsworth
ICML 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
IJCAI 2022 A Unified Meta-Learning Framework for Dynamic Transfer Learning Jun Wu, Jingrui He
NeurIPS 2022 Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
NeurIPS 2022 Deep Active Learning by Leveraging Training Dynamics Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot, Jingrui He
NeurIPS 2022 Distribution-Informed Neural Networks for Domain Adaptation Regression Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth Ainsworth
ICLR 2022 EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
NeurIPS 2022 Improved Algorithms for Neural Active Learning Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
AAAI 2021 Outlier Impact Characterization for Time Series Data Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
AAAI 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
IJCAI 2019 Deep Multi-Task Learning with Adversarial-and-Cooperative Nets Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
IJCAI 2018 A Local Algorithm for Product Return Prediction in E-Commerce Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande
AAAI 2017 Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization Arun Reddy Nelakurthi, Jingrui He
IJCAI 2017 Learning from Data Heterogeneity: Algorithms and Applications Jingrui He
IJCAI 2016 Crowdsourcing via Tensor Augmentation and Completion Yao Zhou, Jingrui He
IJCAI 2015 MUVIR: Multi-View Rare Category Detection Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu
IJCAI 2013 Improving Traffic Prediction with Tweet Semantics Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, Rick Lawrence
ICML 2013 MILEAGE: Multiple Instance LEArning with Global Embedding Dan Zhang, Jingrui He, Luo Si, Richard Lawrence
NeurIPS 2012 GenDeR: A Generic Diversified Ranking Algorithm Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw Szymanski
AAAI 2012 Hierarchical Modeling with Tensor Inputs Yada Zhu, Jingrui He, Rick Lawrence
ICML 2011 A Graphbased Framework for Multi-Task Multi-View Learning Jingrui He, Rick Lawrence
IJCAI 2007 Graph-Based Semi-Supervised Learning as a Generative Model Jingrui He, Jaime G. Carbonell, Yan Liu
NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection Jingrui He, Jaime G. Carbonell
CVPR 2005 A Unified Optimization Based Learning Method for Image Retrieval Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang