Shuo Wang

125 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (23) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🏆 Grand Slam 🤝 Dynamic Duo (21) 🌱 Topic Pioneer 🔬 Deep Specialist (15) 🧬 Topic Evolution 🏆 Keyword Champion (3) ⚡ Prolific Year (26) 📈 Trend Setter 💎 Century Club (115) ❓ The Questioner (2) 🗃️ Keyword Collector (61) 🚀 Conference Pioneer 🔥 Unstoppable (8)

Conferences

ACL (20) AAAI (18) CVPR (13) ICCV (12) EMNLP (11) IJCAI (9) MICCAI (8) NIPS (6) ECCV (5) ICML (5) NAACL (5) ICLR (4) COLING (3) IJCNLP (2) WACV (2) COLT (1) EACL (1)

Top co-authors

Maosong Sun (21) Zhiyuan Liu (19) Zhenghao Liu (13) Yukun Yan (12) Xu Han (11) Yang Liu (10) Yanbin Hao (7) Zhixing Tan (7) Shi Yu (6) Ge Yu (5)

Research topics

Keywords

large language model (17) neural machine translation (7) domain adaptation (5) graph neural network (5) semantic segmentation (5) zero-shot learning (4) code generation (4) language model (4) weakly supervised learning (4) face recognition (4) pose estimation (3) contrastive learning (3) object detection (3) depth estimation (3) cross-lingual transfer (3) few-shot learning (3) knowledge distillation (3) benchmark evaluation (3) transfer learning (3) attention mechanism (3)

Papers

ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling EACL 2026

HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation AAAI 2026

Hierarchical Semantic Alignment for Image Clustering AAAI 2026

Dual-Horizon Interest Model for Unified Search and Recommendation AAAI 2026

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure AAAI 2026

Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation AAAI 2026

CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking AAAI 2026

MonoDream: Monocular Vision-Language Navigation with Panoramic Dreaming AAAI 2026

Accelerating Controllable Generation via Hybrid-grained Cache AAAI 2026

Mem4D: Decoupling Static and Dynamic Memory for Dynamic Scene Reconstruction AAAI 2026

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning NAACL 2025

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification AAAI 2025

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation AAAI 2025

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness AAAI 2025

Medical Manifestation-Aware De-Identification AAAI 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation ACL 2025

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025

LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information ACL 2025

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning ACL 2025

BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025

DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation COLING 2025

Multi-Pass Memory Lower Bounds for Learning Problems COLT 2025

TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation CVPR 2025

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing CVPR 2025

Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training CVPR 2025

Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation CVPR 2025

Exploring the Impact of Personality Traits on LLM Bias and Toxicity EMNLP 2025

Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language EMNLP 2025

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora EMNLP 2025

On LLM-Based Scientific Inductive Reasoning Beyond Equations EMNLP 2025

Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors EMNLP 2025

LLM×MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System EMNLP 2025

KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases EMNLP 2025

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization EMNLP 2025

DeepNote: Note-Centric Deep Retrieval-Augmented Generation EMNLP 2025

EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025

Dynamic Multimodal Prototype Learning in Vision-Language Models ICCV 2025

Accelerating Diffusion Transformer via Gradient-Optimized Cache ICCV 2025

Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification ICCV 2025

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ICLR 2025

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin ICML 2025

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment ICML 2025

Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025

Fine-Grained and Efficient Self-Unlearning with Layered Iteration IJCAI 2025

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records MICCAI 2025

Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images MICCAI 2025

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation MICCAI 2025

ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation MICCAI 2025

Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency MICCAI 2025

Mixture of Multimodal Adapters for Sentiment Analysis NAACL 2025

Multimodal Generation with Consistency Transferring NAACL 2025

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis NAACL 2025

MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025

RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision WACV 2025

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ACL 2024

Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images MICCAI 2024

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation MICCAI 2024

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis MICCAI 2024

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024

∞Bench: Extending Long Context Evaluation Beyond 100K Tokens ACL 2024

Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024

How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation CVPR 2024

Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024

MCTS: A Multi-Reference Chinese Text Simplification Dataset COLING 2024

Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding WACV 2024

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NIPS 2024

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024

What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024

Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective ECCV 2024

Stream Query Denoising for Vectorized HD-Map Construction ECCV 2024

OneBit: Towards Extremely Low-bit Large Language Models NIPS 2024

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NIPS 2024

Learning with Mixture of Prototypes for Out-of-Distribution Detection ICLR 2024

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NIPS 2024

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification NIPS 2024

DETRDistill: A Universal Knowledge Distillation Framework for DETR-families ICCV 2023

Learning from Noisy Data for Semi-Supervised 3D Object Detection ICCV 2023

Source-free Depth for Object Pop-out ICCV 2023

Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification ICCV 2023

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection AAAI 2023

High-Resolution Iterative Feedback Network for Camouflaged Object Detection AAAI 2023

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023

TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023

Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization ACL 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023

Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View CVPR 2023

Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers CVPR 2023

Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning CVPR 2023

Integrating Vectorized Lexical Constraints for Neural Machine Translation ACL 2022

Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022

Boundary-Guided Camouflaged Object Detection IJCAI 2022

Meta-Imitation Learning by Watching Video Demonstrations ICLR 2022

A Template-based Method for Constrained Neural Machine Translation EMNLP 2022

CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022

An Efficient Training Approach for Very Large Scale Face Recognition CVPR 2022

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators ACL 2022

Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation ICCV 2021

On the Language Coverage Bias for Neural Machine Translation IJCNLP 2021

On the Language Coverage Bias for Neural Machine Translation ACL 2021

On the Inference Calibration of Neural Machine Translation ACL 2020

Dual Adversarial Network for Deep Active Learning ECCV 2020

Mis-Classified Vector Guided Softmax Loss for Face Recognition AAAI 2020

Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery ECCV 2020

Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition ECCV 2020

Loss Function Search for Face Recognition ICML 2020

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data ICCV 2019

Equally-Guided Discriminative Hashing for Cross-modal Retrieval IJCAI 2019

Dense Temporal Convolution Network for Sign Language Translation IJCAI 2019

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification CVPR 2019

Improving Back-Translation with Uncertainty-based Confidence Estimation IJCNLP 2019

Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019

Co-Mining: Deep Face Recognition With Noisy Labels ICCV 2019

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection CVPR 2018

Dealing with Multiple Classes in Online Class Imbalance Learning IJCAI 2016

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes CVPR 2013

Human Attribute Recognition by Rich Appearance Dictionary ICCV 2013