Di Wang

MSRTrack: LLM-Powered Object Tracking with Motion and Semantic Reasoning WACV 2026 Union-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers ACL 2026 New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs ACL 2026 Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models ACL 2026 CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training ACL 2026 Reinforcement Learning on Pre-Training Data ACL 2026 Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images ACL 2026 Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs ACL 2026 A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains ACL 2026 Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization AAAI 2026 When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models AAAI 2026 TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model AAAI 2026 SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias AAAI 2026 SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026 HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion AAAI 2026 A Hybrid Space Model for Misaligned Multi-modality Image Fusion AAAI 2026 S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing AAAI 2026 Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs AAAI 2026 RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images AAAI 2026 Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization IJCAI 2025 FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection AAAI 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters AAAI 2025 CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information AAAI 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025 Fair Text-to-Image Diffusion via Fair Mapping AAAI 2025 Understanding the Dark Side of LLMs’ Intrinsic Self-Correction ACL 2025 COMPKE: Complex Question Answering under Knowledge Editing ACL 2025 CODEMENV: Benchmarking Large Language Models on Code Migration ACL 2025 Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements ACL 2025 Understanding the Repeat Curse in Large Language Models from a Feature Perspective ACL 2025 Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration ACL 2025 MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language COLING 2025 XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CVPR 2025 DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework CVPR 2025 HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset CVPR 2025 ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge EMNLP 2025 HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025 Speculating LLMs’ Chinese Training Data Pollution from Their Tokens EMNLP 2025 Understanding How Value Neurons Shape the Generation of Specified Values in LLMs EMNLP 2025 Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation EMNLP 2025 The Security Threat of Compressed Projectors in Large Vision-Language Models EMNLP 2025 Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling ICCV 2025 Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction ICCV 2025 Semi-supervised Concept Bottleneck Models ICCV 2025 Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models ICCV 2025 A Solvable Attention for Neural Scaling Laws ICLR 2025 A Benchmark for Semantic Sensitive Information in LLMs Outputs ICLR 2025 Editable Concept Bottleneck Models ICML 2025 Autonomy-of-Experts Models ICML 2025 Scaling Laws for Floating–Point Quantization Training ICML 2025 Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing ICML 2025 TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion IJCAI 2025 ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs IJCAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning IJCAI 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning NAACL 2025 Nearly Optimal Differentially Private ReLU Regression UAI 2025 LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation IJCAI 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models ICLR 2024 Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach ICLR 2024 An LLM can Fool Itself: A Prompt-Based Adversarial Attack ICLR 2024 Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling NIPS 2024 Image Content Generation with Causal Reasoning AAAI 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion AAAI 2024 LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation AAAI 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 A Field Guide for Pacing Budget and ROS Constraints ICML 2024 Understanding Forgetting in Continual Learning with Linear Regression ICML 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 Improving Interpretation Faithfulness for Vision Transformers ICML 2024 Towards Multi-dimensional Explanation Alignment for Medical Classification NIPS 2024 Truthful High Dimensional Sparse Linear Regression NIPS 2024 Revisiting Differentially Private ReLU Regression NIPS 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024 SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation AAAI 2024 Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 2024 Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering MICCAI 2024 Differentially Private Natural Language Models: Recent Advances and Future Directions EACL 2024 Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET) EACL 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024 Recognizing Social Cues in Crisis Situations COLING 2024 TMFN: A Target-oriented Multi-grained Fusion Network for End-to-end Aspect-based Multimodal Sentiment Analysis COLING 2024 Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality ACL 2024 Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning AAAI 2024 DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text EMNLP 2023 GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings EMNLP 2023 On Private and Robust Bandits NIPS 2023 Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer AAAI 2023 Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited UAI 2023 SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model NIPS 2023 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023 Robust Budget Pacing with a Single Sample ICML 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023 SEAT: Stable and Explainable Attention AAAI 2023 GRI: Graph-based Relative Isomorphism of Word Embedding Spaces EMNLP 2023 IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation EMNLP 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 On Facility Location Problem in the Local Differential Privacy Model AISTATS 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data ACML 2022 Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration IJCAI 2022 Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited IJCAI 2022 SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection WACV 2022 UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction IJCNLP 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts AAAI 2021 Differentially Private Pairwise Learning Revisited IJCAI 2021 PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction IJCNLP 2021 PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ACL 2021 Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification ACL 2021 UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction ACL 2021 Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification IJCNLP 2021 Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021 Distributed Kernel Ridge Regression with Communications JMLR 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Compact Autoregressive Network AAAI 2020 On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020 Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 p-Norm Flow Diffusion for Local Graph Clustering ICML 2020 Towards Interpretation of Pairwise Learning AAAI 2020 Faster width-dependent algorithm for mixed packing and covering LPs NIPS 2019 Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations IJCNLP 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation IJCAI 2019 Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019 Privacy-aware Synthesizing for Crowdsourced Data IJCAI 2019 On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019 Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ICML 2019 Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019 Modelling Autobiographical Memory Loss across Life Span AAAI 2019 An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss AAAI 2019 Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation ACL 2019 Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019 Facility Location Problem in Differential Privacy Model Revisited NIPS 2019 Density Matching for Bilingual Word Embedding NAACL 2019 Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations EMNLP 2019 Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation ACL 2018 Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NIPS 2018 Neural Machine Translation with Key-Value Memory-Augmented Attention IJCAI 2018 Tackling Adversarial Examples in QA via Answer Sentence Selection ACL 2018 Steering Output Style and Topic in Neural Response Generation EMNLP 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Capacity Releasing Diffusion for Speed and Locality ICML 2017 An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines IJCAI 2015 Semantic Topic Multimodal Hashing for Cross-Media Retrieval IJCAI 2015 Multi-Modality Tracker Aggregation: From Generative to Discriminative IJCAI 2015 A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering IJCNLP 2015 A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering ACL 2015 Automatic Domain Partitioning for Multi-Domain Learning EMNLP 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013