Xiao Wang

4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis WACV 2026 MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI MIDL 2026 BabelDOC: Better Layout-Preserving PDF Translation via Intermediate Representation ACL 2026 Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation ACL 2026 MirageBackdoor: A Stealthy Attack that Induces Think-Well-Answer-Wrong Reasoning ACL 2026 Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026 Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents AAAI 2026 SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal AAAI 2026 When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework AAAI 2026 Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation AAAI 2026 MSTDiff: Multiscale-Aware Transformer Diffusion Network for Video Object Detection AAAI 2026 CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement AAAI 2026 Robust Pedestrian Detection with Uncertain Modality AAAI 2026 RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding WACV 2026 Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection WACV 2026 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025 Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework AAAI 2025 TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection AAAI 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025 Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion AAAI 2025 ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation AACL 2025 HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models ACL 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding ACL 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025 Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports ACL 2025 Fine-Grained Constraint Generation-Verification for Improved Instruction-Following ACL 2025 InternLM-Law: An Open-Sourced Chinese Legal Large Language Model COLING 2025 Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025 CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset CVPR 2025 Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset CVPR 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching ICCV 2025 On Large Language Model Continual Unlearning ICLR 2025 Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games ICML 2025 Censor Dependent Variational Inference ICML 2025 HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport ICML 2025 Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention ICML 2025 EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams ICML 2025 HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model IJCAI 2025 ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation IJCNLP 2025 Navigating the OverKill in Large Language Models ACL 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024 Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg ICML 2024 Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction ECCV 2024 Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024 Word-Conditioned 3D American Sign Language Motion Generation EMNLP 2024 CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 Confidential-DPproof: Confidential Proof of Differentially Private Training ICLR 2024 Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning UAI 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 LocCa: Visual Pretraining with Location-aware Captioners NIPS 2024 No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NIPS 2024 Uncovering the Redundancy in Graph Self-supervised Learning Models NIPS 2024 ProxyFusion: Face Feature Aggregation Through Sparse Experts NIPS 2024 Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation IJCAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 A Generalized Neural Diffusion Framework on Graphs AAAI 2024 Finding Visual Saliency in Continuous Spike Stream AAAI 2024 Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception AAAI 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers NIPS 2024 LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors AAAI 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024 Less is More: on the Over-Globalizing Problem in Graph Transformers ICML 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity ICML 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline CVPR 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Effective Contrastive Weighting for Dense Query Expansion ACL 2023 Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 Learning Invariant Molecular Representation in Latent Discrete Space NIPS 2023 Curricular Object Manipulation in LiDAR-Based Object Detection CVPR 2023 Provable Training for Graph Contrastive Learning NIPS 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023 Robust and Actively Secure Serverless Collaborative Learning NIPS 2023 Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NIPS 2023 Deja Vu: Continual Model Generalization for Unseen Domains ICLR 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model ICLR 2023 On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails NIPS 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023 Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023 Multi-Scale Subgraph Contrastive Learning IJCAI 2023 Intent-aware Recommendation via Disentangled Graph Contrastive Learning IJCAI 2023 Directed Acyclic Graph Structure Learning from Dynamic Graphs AAAI 2023 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 Retinomorphic Object Detection in Asynchronous Visual Streams AAAI 2022 Self-supervised Graph Neural Networks for Multi-behavior Recommendation IJCAI 2022 Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022 MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022 Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting INTERSPEECH 2022 Simple Open-Vocabulary Object Detection with Vision Transformers ECCV 2022 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022 On the Importance of Asymmetry for Siamese Representation Learning CVPR 2022 Federated Class-Incremental Learning CVPR 2022 LiT: Zero-Shot Transfer With Locked-Image Text Tuning CVPR 2022 Embedding Adaptation Network with Transformer for Few-Shot Action Recognition ACML 2022 Uncovering the Structural Fairness in Graph Contrastive Learning NIPS 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NIPS 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NIPS 2022 AdaGrad Avoids Saddle Points ICML 2022 Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization ICLR 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras ICCV 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NIPS 2021 Universal Graph Convolutional Networks NIPS 2021 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks IJCAI 2021 Temporal Heterogeneous Information Network Embedding IJCAI 2021 CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021 Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021 Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce AAAI 2021 Very Important Person Localization in Unconstrained Conditions: A New Benchmark AAAI 2021 Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021 Addressing Class Imbalance in Federated Learning AAAI 2021 Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021 CaPC Learning: Confidential and Private Collaborative Learning ICLR 2021 Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition ACML 2021 Learn To Match: Automatic Matching Network Design for Visual Tracking ICCV 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021 Independence Promoted Graph Disentangled Networks AAAI 2020 Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ICLR 2020 Measuring Compositional Generalization: A Comprehensive Method on Realistic Data ICLR 2020 Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NIPS 2020 When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark IJCAI 2020 Motif-Preserving Temporal Network Embedding IJCAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 Decorrelated Clustering with Data Selection Bias IJCAI 2020 Cross-Lingual Document Retrieval with Smooth Learning COLING 2020 Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem ICLR 2020 Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019 Hyperbolic Heterogeneous Information Network Embedding AAAI 2019 First-order methods almost always avoid saddle points: The case of vanishing step-sizes NIPS 2019 Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019 Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019 SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation CVPR 2018 Ranking Preserving Nonnegative Matrix Factorization IJCAI 2018 Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units NIPS 2018 On the Statistical Efficiency of Compositional Nonparametric Prediction AISTATS 2018 Power-law Distribution Aware Trust Prediction IJCAI 2018 Context Regularity Indexed by Auditory N1 and P2 Event-Related Potentials INTERSPEECH 2017 Multi-Component Nonnegative Matrix Factorization IJCAI 2017 Modularity Based Community Detection with Deep Learning IJCAI 2016