Weiqiang Wang
52 papers · 2020–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (100) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(41)
Deep Learning
(27)
Artificial Intelligence
(24)
Learning Types · Machine Learning
(24)
Core AI
(20)
Core Methods
(17)
Learning Types · Deep Learning
(16)
Computer Vision
(15)
Application Areas
(14)
Natural Language Processing
(11)
Architectures
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Optimization & Theory
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Analysis
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Models
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Learning Paradigms
(6)
Keywords
retrieval-augmented generation
(5)
large language model
(5)
knowledge distillation
(4)
representation learning
(4)
vision-language model
(3)
graph neural network
(3)
neural network
(3)
object detection
(3)
attention mechanism
(3)
contrastive learning
(3)
image generation
(3)
diffusion model
(2)
ai-generated image detection
(2)
label noise
(2)
text-to-image generation
(2)
adversarial attack
(2)
self-supervised learning
(2)
few-shot learning
(2)
transfer learning
(2)
domain adaptation
(2)
Papers
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
AAAI 2026
GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization
AAAI 2026
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images
CVPR 2026
Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images
CVPR 2026
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
CVPR 2026
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce
AAAI 2025
AIGT: AI Generative Table Based on Prompt
COLING 2025
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering
COLING 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
EMNLP 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
ACL 2025
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere
Interspeech 2025
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
ACL 2025
Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs
ACL 2025
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement
IJCAI 2025
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
AAAI 2025
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
ICCV 2025
OW-VAP: Visual Attribute Parsing for Open World Object Detection
ICML 2025
Scalable Autoregressive Monocular Depth Estimation
CVPR 2025
Sparse Latents Steer Retrieval-Augmented Generation
ACL 2025
Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
ICML 2025
Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization
EMNLP 2025
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
EMNLP 2025
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection
AAAI 2025
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning
COLING 2024
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
EMNLP 2024
COIN-Matting: Confounder Intervention for Image Matting
ECCV 2024
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion
ECCV 2024
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
ACL 2024
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
NeurIPS 2024
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training
COLING 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
IJCAI 2024
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
EMNLP 2024
On provable privacy vulnerabilities of graph representations
NeurIPS 2024
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph
COLING 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
CVPR 2024
Protecting Split Learning by Potential Energy Loss
IJCAI 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
NeurIPS 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification
ACL 2024
Backpropagation Path Search On Adversarial Transferability
ICCV 2023
Compositional Prototypical Networks for Few-Shot Classification
AAAI 2023
DiffUTE: Universal Text Editing Diffusion Model
NeurIPS 2023
Mobile User Interface Element Detection via Adaptively Prompt Tuning
CVPR 2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
NeurIPS 2023
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network
AAAI 2023
A2: Efficient Automated Attacker for Boosting Adversarial Training
NeurIPS 2022
GraFormer: Graph-Oriented Transformer for 3D Pose Estimation
CVPR 2022
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
ICLR 2022
XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding
CVPR 2022
HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles
AAAI 2021
Rethinking Object Detection in Retail Stores
AAAI 2021
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020
Online Positive and Unlabeled Learning
IJCAI 2020