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Jingrui He

48 papers · 2007–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (15) 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (18) 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion πŸ† Grand Slam 🀝 Dynamic Duo (12) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (154) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (46) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter

Conferences

NIPS (13) ICML (8) ICLR (7) IJCAI (7) AAAI (4) ACL (2) AISTATS (2) EMNLP (2) ICCV (2) EACL (1)

Top co-authors

Hanghang Tong (13) Tianxin Wei (13) Yikun Ban (9) Dongqi Fu (8) Jun Wu (7) Yada Zhu (7) Zhining Liu (6) Wenxuan Bao (6) Ruizhong Qiu (5) Yunzhe Qi (4)

Keywords

domain adaptation (6) neural network (5) transfer learning (5) federated learning (4) representation learning (4) graph neural network (4) node classification (3) test-time adaptation (3) link prediction (3) contextual bandit (3) active learning (3) random walk (2) vision-language model (2) contrastive learning (2) neural tangent kernel (2) unsupervised learning (2) few-shot learning (2) graph classification (2) multi-task learning (2) knowledge transfer (2)

Papers

Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026
Panda: Test-Time Adaptation with Negative Data Augmentation AAAI 2026
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation ACL 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem AISTATS 2025
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation ICLR 2025
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025
Dataset Distillation via the Wasserstein Metric ICCV 2025
Learnable Spatial-Temporal Positional Encoding for Link Prediction ICML 2025
Graph4MM: Weaving Multimodal Learning with Structural Information ICML 2025
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs EMNLP 2025
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity EMNLP 2025
Graph Mixup on Approximate Gromov–Wasserstein Geodesics ICML 2024
Robust Neural Contextual Bandit against Adversarial Corruptions NIPS 2024
PageRank Bandits for Link Prediction NIPS 2024
Towards Editing Time Series NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NIPS 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections ICLR 2024
Contextual Bandits with Online Neural Regression ICLR 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond ICLR 2024
Neural Active Learning Beyond Bandits ICLR 2024
Class-Imbalanced Graph Learning without Class Rebalancing ICML 2024
Non-IID Transfer Learning on Graphs AAAI 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning ICML 2023
Adaptive Test-Time Personalization for Federated Learning NIPS 2023
Meta-Learning with Neural Bandit Scheduler NIPS 2023
Graph-Structured Gaussian Processes for Transferable Graph Learning NIPS 2023
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits ICLR 2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning IJCAI 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative NIPS 2022
Improved Algorithms for Neural Active Learning NIPS 2022
Deep Active Learning by Leveraging Training Dynamics NIPS 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression NIPS 2022
Outlier Impact Characterization for Time Series Data AAAI 2021
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets IJCAI 2019
A Local Algorithm for Product Return Prediction in E-Commerce IJCAI 2018
Learning from Data Heterogeneity: Algorithms and Applications IJCAI 2017
Crowdsourcing via Tensor Augmentation and Completion IJCAI 2016
MUVIR: Multi-View Rare Category Detection IJCAI 2015
Improving Traffic Prediction with Tweet Semantics IJCAI 2013
MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013
GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012
Nearest-Neighbor-Based Active Learning for Rare Category Detection NIPS 2007