Jingrui He

Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026 Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks ACL 2026 Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents ACL 2026 Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR ACL 2026 Panda: Test-Time Adaptation with Negative Data Augmentation AAAI 2026 AdaFuse: Adaptive Ensemble Decoding for Large Language Models ACL 2026 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation ICLR 2025 Learnable Spatial-Temporal Positional Encoding for Link Prediction ICML 2025 Graph4MM: Weaving Multimodal Learning with Structural Information ICML 2025 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 Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem AISTATS 2025 Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity EMNLP 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 Dataset Distillation via the Wasserstein Metric ICCV 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 Class-Imbalanced Graph Learning without Class Rebalancing 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 Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond ICLR 2024 Neural Active Learning Beyond Bandits ICLR 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics ICML 2024 VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections ICLR 2024 Contextual Bandits with Online Neural Regression ICLR 2024 Graph-Structured Gaussian Processes for Transferable Graph Learning NIPS 2023 Meta-Learning with Neural Bandit Scheduler NIPS 2023 Adaptive Test-Time Personalization for Federated Learning NIPS 2023 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 Deep Active Learning by Leveraging Training Dynamics NIPS 2022 Distribution-Informed Neural Networks for Domain Adaptation Regression NIPS 2022 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 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 MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013 Improving Traffic Prediction with Tweet Semantics IJCAI 2013 GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012 Nearest-Neighbor-Based Active Learning for Rare Category Detection NIPS 2007