Xiao Wang

BabelDOC: Better Layout-Preserving PDF Translation via Intermediate Representation ACL 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026 Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 On Large Language Model Continual Unlearning ICLR 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 A Generalized Neural Diffusion Framework on Graphs AAAI 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NeurIPS 2024 CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 Less is More: on the Over-Globalizing Problem in Graph Transformers ICML 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024 LocCa: Visual Pretraining with Location-aware Captioners NeurIPS 2024 Navigating the OverKill in Large Language Models ACL 2024 No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NeurIPS 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 Uncovering the Redundancy in Graph Self-supervised Learning Models NeurIPS 2024 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Deja Vu: Continual Model Generalization for Unseen Domains ICLR 2023 Directed Acyclic Graph Structure Learning from Dynamic Graphs AAAI 2023 Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023 Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NeurIPS 2023 Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model ICLR 2023 Provable Training for Graph Contrastive Learning NeurIPS 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NeurIPS 2023 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NeurIPS 2022 Federated Class-Incremental Learning CVPR 2022 LiT: Zero-Shot Transfer With Locked-Image Text Tuning CVPR 2022 MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022 Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization ICLR 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NeurIPS 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Self-supervised Graph Neural Networks for Multi-behavior Recommendation IJCAI 2022 Simple Open-Vocabulary Object Detection with Vision Transformers ECCV 2022 Uncovering the Structural Fairness in Graph Contrastive Learning NeurIPS 2022 Addressing Class Imbalance in Federated Learning AAAI 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NeurIPS 2021 Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks IJCAI 2021 CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021 Universal Graph Convolutional Networks NeurIPS 2021 Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce AAAI 2021 Decorrelated Clustering with Data Selection Bias IJCAI 2020 Measuring Compositional Generalization: A Comprehensive Method on Realistic Data ICLR 2020 Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 Hyperbolic Heterogeneous Information Network Embedding AAAI 2019 Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019 Power-law Distribution Aware Trust Prediction IJCAI 2018 Ranking Preserving Nonnegative Matrix Factorization IJCAI 2018 Multi-Component Nonnegative Matrix Factorization IJCAI 2017 Modularity Based Community Detection with Deep Learning IJCAI 2016