Xiao Zhang

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion AAAI 2026 Structure Guided Retrieval-Augmented Generation for Factual Queries ACL 2026 TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026 OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks AAAI 2026 UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement ICCV 2025 Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model ICCV 2025 NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping ICCV 2025 Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search EMNLP 2025 Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs ACL 2025 Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach IJCAI 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving ICML 2025 Generalization Analysis for Controllable Learning ICML 2025 Dimension-Free Adaptive Subgradient Methods with Frequent Directions ICML 2025 Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing ICML 2025 How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective ICML 2025 PDUDT: Provable Decentralized Unlearning under Dynamic Topologies ICML 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents ICLR 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ICLR 2025 ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble ICLR 2025 Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood ICLR 2025 Score-based free-form architectures for high-dimensional Fokker-Planck equations ICLR 2025 Nested Diffusion Models Using Hierarchical Latent Priors CVPR 2025 Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery ICLR 2025 IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization ICCV 2025 PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement ICCV 2025 DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination WACV 2025 UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025 LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation AAAI 2025 Trigger3:Refining Query Correction via Adaptive Model Selector AAAI 2025 An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control AAAI 2025 TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval AAAI 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph AAAI 2025 Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models AAAI 2025 DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models NAACL 2025 Medical Contrastive Learning of Positive and Negative Mentions MICCAI 2025 Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation MICCAI 2025 MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment ACL 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Length-Induced Embedding Collapse in PLM-based Models ACL 2025 Latent Intrinsics Emerge from Training to Relight NIPS 2024 FinBen: A Holistic Financial Benchmark for Large Language Models NIPS 2024 Co-occurrence is not Factual Association in Language Models NIPS 2024 SciMRC: Multi-perspective Scientific Machine Reading Comprehension COLING 2024 Beaver: Practical Partial Snapshots for Distributed Cloud Services OSDI 2024 Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image MICCAI 2024 NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images AAAI 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024 Effective In-Context Example Selection through Data Compression ACL 2024 Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks COLING 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations CVPR 2024 Conditional Language Learning with Context ICML 2024 Dissecting learning and forgetting in language model finetuning ICLR 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 QCAW 1.0: Building a Qatari Corpus of Student Argumentative Writing COLING 2024 Integrating View Conditions for Image Synthesis IJCAI 2024 Joint Semantic and Strategy Matching for Persuasive Dialogue EMNLP 2023 PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance NIPS 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NIPS 2023 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NIPS 2023 Reward Imputation with Sketching for Contextual Batched Bandits NIPS 2023 Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension ACL 2023 Robust Image Ordinal Regression with Controllable Image Generation IJCAI 2023 Flattened Clos: Designing High-performance Deadlock-free Expander Data Center Networks Using Graph Contraction NSDI 2023 Cross-Lingual Phrase Retrieval ACL 2022 ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension COLING 2022 MICO: Selective Search with Mutual Information Co-training COLING 2022 PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds ECCV 2022 ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition AAAI 2022 Understanding Intrinsic Robustness Using Label Uncertainty ICLR 2022 Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces ICLR 2021 Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021 Regret Bounds for Online Kernel Selection in Continuous Kernel Space AAAI 2021 Multi-Grained Knowledge Distillation for Named Entity Recognition NAACL 2021 RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection CVPR 2021 To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels CVPR 2021 Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification CVPR 2021 Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction AAAI 2021 Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020 Empirical Studies on the Properties of Linear Regions in Deep Neural Networks ICLR 2020 RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax ECCV 2020 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization ICML 2020 Semi-supervised Autoencoding Projective Dependency Parsing COLING 2020 Cross-Lingual Document Retrieval with Smooth Learning COLING 2020 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space IJCAI 2020 Self-Supervised Visual Representation Learning from Hierarchical Grouping NIPS 2020 Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020 Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale OSDI 2020 Learning Conceptual-Contextual Embeddings for Medical Text AAAI 2020 Tensor Graph Convolutional Networks for Text Classification AAAI 2020 Cost-Sensitive Robustness against Adversarial Examples ICLR 2019 Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019 AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations CVPR 2019 SegSort: Segmentation by Discriminative Sorting of Segments ICCV 2019 Delta Embedding Learning ACL 2019 Sentiment Tagging with Partial Labels using Modular Architectures ACL 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019 Incremental Randomized Sketching for Online Kernel Learning ICML 2019 AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition IJCAI 2019 P2SGrad: Refined Gradients for Optimizing Deep Face Models CVPR 2019 Normalized Diversification CVPR 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NIPS 2019 Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow ICML 2018 A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery ICML 2018 A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications ECCV 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018 Semi-supervised Structured Prediction with Neural CRF Autoencoder EMNLP 2017 Automatic Spatially-Aware Fashion Concept Discovery ICCV 2017 Opinion-aware Knowledge Graph for Political Ideology Detection IJCAI 2017 PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings SEMEVAL 2017 A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017 Range Loss for Deep Face Recognition With Long-Tailed Training Data ICCV 2017 A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery ICML 2017 Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017 Adapting Event Embedding for Implicit Discourse Relation Recognition CONLL 2016 pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection SEMEVAL 2016