← Authors

Di Wang

149 papers · 2013–2026 · 20 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (31) 🐝 Cross-Pollinator (6) πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (20) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (24) πŸ‘‘ Domain Dominant (17) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (22) πŸ† Grand Slam πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (33) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (139) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (98) ⚑ Prolific Year (15)

Conferences

AAAI (34) IJCAI (16) ICML (15) EMNLP (15) ACL (14) NIPS (12) ICLR (6) IJCNLP (5) JMLR (5) CVPR (4) ICCV (4) COLING (3) ALT (3) AISTATS (3) EACL (2) NAACL (2) UAI (2) WACV (2) MICCAI (1) ACML (1)

Top co-authors

Jinhui Xu (22) Lijie Hu (22) Chunyan Miao (8) Xingwu Sun (7) Jingfeng ZHANG (6) Feng Zhang (6) Meng Ding (6) Quan Wang (6) Zhanhui Kang (6) Mengdi Huai (6)

Research topics

Differential Privacy (16) Privacy (1)

Keywords

differential privacy (21) large language model (13) local differential privacy (8) multimodal learning (7) empirical risk minimization (6) object detection (6) sample complexity (5) remote sensing (5) knowledge graph (5) convex optimization (4) privacy-preserving machine learning (4) vision-language model (4) attention mechanism (4) regret bound (4) natural language processing (4) combinatorial optimization (4) stochastic convex optimization (4) benchmark evaluation (4) diffusion model (4) dialogue system (4)

Papers

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026
RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images 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
MSRTrack: LLM-Powered Object Tracking with Motion and Semantic Reasoning WACV 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
When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models AAAI 2026
Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs AAAI 2026
Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization AAAI 2026
HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset CVPR 2025
Editable Concept Bottleneck Models ICML 2025
A Benchmark for Semantic Sensitive Information in LLMs Outputs ICLR 2025
A Solvable Attention for Neural Scaling Laws ICLR 2025
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing ICML 2025
Scaling Laws for Floating–Point Quantization Training ICML 2025
Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation EMNLP 2025
Understanding How Value Neurons Shape the Generation of Specified Values in LLMs EMNLP 2025
Speculating LLMs’ Chinese Training Data Pollution from Their Tokens EMNLP 2025
Autonomy-of-Experts Models ICML 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
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
Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction ICCV 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning NAACL 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025
Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling ICCV 2025
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning IJCAI 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
The Security Threat of Compressed Projectors in Large Vision-Language Models EMNLP 2025
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs IJCAI 2025
TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion IJCAI 2025
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization IJCAI 2025
Nearly Optimal Differentially Private ReLU Regression UAI 2025
Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models ICCV 2025
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language COLING 2025
Semi-supervised Concept Bottleneck Models ICCV 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
Improving Interpretation Faithfulness for Vision Transformers ICML 2024
Understanding Forgetting in Continual Learning with Linear Regression ICML 2024
A Field Guide for Pacing Budget and ROS Constraints ICML 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024
Revisiting Differentially Private ReLU Regression NIPS 2024
Truthful High Dimensional Sparse Linear Regression NIPS 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification NIPS 2024
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling NIPS 2024
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation AAAI 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion AAAI 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024
Image Content Generation with Causal Reasoning AAAI 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning AAAI 2024
Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering MICCAI 2024
Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality ACL 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
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 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
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation IJCAI 2024
Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024
Private Language Models via Truncated Laplacian Mechanism EMNLP 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
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited UAI 2023
SEAT: Stable and Explainable Attention AAAI 2023
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer AAAI 2023
On Private and Robust Bandits NIPS 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
GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings EMNLP 2023
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text EMNLP 2023
GRI: Graph-based Relative Isomorphism of Word Embedding Spaces EMNLP 2023
Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023
Faster Rates of Private Stochastic Convex Optimization ALT 2022
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data ACML 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022
On Facility Location Problem in the Local Differential Privacy Model AISTATS 2022
IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation EMNLP 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
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction ACL 2021
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction IJCNLP 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification IJCNLP 2021
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 ACL 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification ACL 2021
Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020
p-Norm Flow Diffusion for Local Graph Clustering ICML 2020
Distributed Kernel Ridge Regression with Communications JMLR 2020
Compact Autoregressive Network AAAI 2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020
Pairwise Learning with Differential Privacy Guarantees AAAI 2020
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020
Towards Interpretation of Pairwise Learning AAAI 2020
On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations EMNLP 2019
Privacy-aware Synthesizing for Crowdsourced Data IJCAI 2019
Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation IJCAI 2019
Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019
Facility Location Problem in Differential Privacy Model Revisited NIPS 2019
Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations IJCNLP 2019
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation ACL 2019
Density Matching for Bilingual Word Embedding NAACL 2019
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss AAAI 2019
Modelling Autobiographical Memory Loss across Life Span AAAI 2019
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019
Faster width-dependent algorithm for mixed packing and covering LPs NIPS 2019
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ICML 2019
Neural Machine Translation with Key-Value Memory-Augmented Attention IJCAI 2018
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation ACL 2018
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NIPS 2018
Tackling Adversarial Examples in QA via Answer Sentence Selection ACL 2018
Capacity Releasing Diffusion for Speed and Locality ICML 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
Steering Output Style and Topic in Neural Response Generation EMNLP 2017
Semantic Topic Multimodal Hashing for Cross-Media Retrieval IJCAI 2015
An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines 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
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
Automatic Domain Partitioning for Multi-Domain Learning EMNLP 2013