Wei Dong
31 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (9) π§ Keyword Pioneer π Academic Marathon (7) π Conference Polyglot (9) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(51)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Conference Pioneer
π
Century Club
(25)
β‘
Prolific Year
(11)
ποΈ
Keyword Collector
(134)
π₯
Unstoppable
(8)
Conferences
CVPR (8)
AAAI (6)
NIPS (4)
ACL (3)
EMNLP (3)
ICCV (3)
ECCV (2)
IJCNLP (1)
NSDI (1)
Top co-authors
Research topics
Keywords
image restoration
(5)
vision transformer
(5)
diffusion model
(3)
large language model
(3)
parameter-efficient fine-tuning
(3)
low-rank adaptation
(3)
mixture prior
(2)
unsupervised learning
(2)
binary code
(2)
edge computing
(2)
generative hashing
(2)
transfer learning
(2)
variational autoencoder
(2)
singular value decomposition
(2)
model compression
(2)
low-light image enhancement
(2)
point cloud registration
(2)
anomaly detection
(1)
volume rendering
(1)
few-shot learning
(1)
Papers
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
AAAI 2026
ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks
ACL 2026
Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
ACL 2026
SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices
AAAI 2026
Zero-Reference Joint Low-Light Enhancement and Deblurring via Visual Autoregressive Modeling with VLM-Derived Modulation
AAAI 2026
RPGen: Robust and Differentially Private Synthetic Image Generation
AAAI 2026
LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors
CVPR 2025
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
AAAI 2025
Low-Light Image Enhancement via Generative Perceptual Priors
AAAI 2025
SDBench: A Survey-based Domain-specific LLM Benchmarking and Optimization Framework
ACL 2025
HVI: A New Color Space for Low-light Image Enhancement
CVPR 2025
Split Adaptation for Pre-trained Vision Transformers
CVPR 2025
Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication
EMNLP 2025
IoTMigrator: LLM-driven Embedded IoT Code Migration across Different OSes for Cloud-device Integration
EMNLP 2025
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
ICCV 2025
SDMatte: Grafting Diffusion Models for Interactive Matting
ICCV 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
NIPS 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
CVPR 2024
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
NIPS 2024
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
ECCV 2024
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
NIPS 2023
LinkLab 2.0: A Multi-tenant Programmable IoT Testbed for Experimentation with Edge-Cloud Integration
NSDI 2023
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids
CVPR 2023
Differentially Private Covariance Revisited
NIPS 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
CVPR 2022
Self-Supervised Geometric Perception
CVPR 2021
Deep Global Registration
CVPR 2020
Document Hashing with Mixture-Prior Generative Models
IJCNLP 2019
Document Hashing with Mixture-Prior Generative Models
EMNLP 2019
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction
ECCV 2018