Weiqiang Wang

48 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🤝 Dynamic Duo (12) 🏆 Grand Slam 🔥 Unstoppable (6) 💎 Century Club (46) ⚡ Prolific Year (6) 🗃️ Keyword Collector (234)

Conferences

AAAI (10) ACL (6) NIPS (6) COLING (5) CVPR (5) EMNLP (5) IJCAI (4) ECCV (2) ICCV (2) ICML (2) ICLR (1)

Top co-authors

Huijia Zhu (12) Changhua Meng (11) jun lan (8) Yaojie Lu (6) Tengfei LIU (6) Le Sun (6) Xianpei Han (6) Shuheng Zhou (6) Zhongyi Liu (5) Hongyu Lin (5)

Research topics

Reinforcement Learning (1) Privacy (1)

Keywords

large language model (5) retrieval-augmented generation (5) knowledge distillation (4) representation learning (4) contrastive learning (3) object detection (3) graph neural network (3) neural network (3) diffusion model (2) text-to-image generation (2) adversarial attack (2) label noise (2) open-domain question answering (2) vision-language model (2) self-supervised learning (2) attention mechanism (2) few-shot learning (2) transfer learning (2) image generation (2) domain adaptation (2)

Papers

GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization AAAI 2026

Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning AAAI 2026

OW-VAP: Visual Attribute Parsing for Open World Object Detection ICML 2025

WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection AAAI 2025

Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025

Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce AAAI 2025

Sparse Latents Steer Retrieval-Augmented Generation ACL 2025

Gumbel Reranking: Differentiable End-to-End Reranker Optimization ACL 2025

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025

Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs ACL 2025

Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering COLING 2025

AIGT: AI Generative Table Based on Prompt COLING 2025

Scalable Autoregressive Monocular Depth Estimation CVPR 2025

Training LLMs to be Better Text Embedders through Bidirectional Reconstruction EMNLP 2025

Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models EMNLP 2025

Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization EMNLP 2025

OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM ICCV 2025

Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training ICML 2025

Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement IJCAI 2025

On provable privacy vulnerabilities of graph representations NIPS 2024

Mirror-Consistency: Harnessing Inconsistency in Majority Voting EMNLP 2024

Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering EMNLP 2024

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024

Protecting Split Learning by Potential Energy Loss IJCAI 2024

Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024

Estimating Conditional Average Treatment Effects via Sufficient Representation Learning IJCAI 2024

Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations ACL 2024

Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training COLING 2024

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models CVPR 2024

XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification ACL 2024

COIN-Matting: Confounder Intervention for Image Matting ECCV 2024

ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion ECCV 2024

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning NIPS 2024

Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024

Backpropagation Path Search On Adversarial Transferability ICCV 2023

DiffUTE: Universal Text Editing Diffusion Model NIPS 2023

Mobile User Interface Element Detection via Adaptively Prompt Tuning CVPR 2023

Compositional Prototypical Networks for Few-Shot Classification AAAI 2023

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions NIPS 2023

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data ICLR 2022

A2: Efficient Automated Attacker for Boosting Adversarial Training NIPS 2022

GraFormer: Graph-Oriented Transformer for 3D Pose Estimation CVPR 2022

XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding CVPR 2022

Rethinking Object Detection in Retail Stores AAAI 2021

HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles AAAI 2021

Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020

Online Positive and Unlabeled Learning IJCAI 2020