Shuo Wang

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 ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling EACL 2026 Long-Chain Reasoning Distillation via Adaptive Prefix Alignment ACL 2026 Empirical Analysis of Decoding Biases in Masked Diffusion Models ACL 2026 Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization ACL 2026 Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation ACL 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 CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models ACL 2026 CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning ACL 2026 QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization ACL 2026 AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 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 VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ICLR 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 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 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning 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 Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images MICCAI 2024 OneBit: Towards Extremely Low-bit Large Language Models NIPS 2024 Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NIPS 2024 TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding WACV 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024 Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 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 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 INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ACL 2024 MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024 MCTS: A Multi-Reference Chinese Text Simplification Dataset COLING 2024 Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024 Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation CVPR 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NIPS 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 Stream Query Denoising for Vectorized HD-Map Construction ECCV 2024 Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective ECCV 2024 Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 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 Source-free Depth for Object Pop-out ICCV 2023 Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization ACL 2023 Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection AAAI 2023 High-Resolution Iterative Feedback Network for Camouflaged Object Detection AAAI 2023 Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning CVPR 2023 Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers CVPR 2023 Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View CVPR 2023 Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification ICCV 2023 Learning from Noisy Data for Semi-Supervised 3D Object Detection ICCV 2023 Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023 TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 A Template-based Method for Constrained Neural Machine Translation EMNLP 2022 Integrating Vectorized Lexical Constraints for Neural Machine Translation ACL 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Boundary-Guided Camouflaged Object Detection IJCAI 2022 Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022 Meta-Imitation Learning by Watching Video Demonstrations ICLR 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 ACL 2021 On the Language Coverage Bias for Neural Machine Translation IJCNLP 2021 On the Inference Calibration of Neural Machine Translation ACL 2020 Mis-Classified Vector Guided Softmax Loss for Face Recognition AAAI 2020 Loss Function Search for Face Recognition ICML 2020 Dual Adversarial Network for Deep Active Learning ECCV 2020 Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition ECCV 2020 Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery ECCV 2020 Improving Back-Translation with Uncertainty-based Confidence Estimation IJCNLP 2019 Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019 Equally-Guided Discriminative Hashing for Cross-modal Retrieval IJCAI 2019 Dense Temporal Convolution Network for Sign Language Translation IJCAI 2019 Co-Mining: Deep Face Recognition With Noisy Labels ICCV 2019 PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data ICCV 2019 CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification CVPR 2019 Detect Globally, Refine Locally: A Novel Approach to Saliency Detection CVPR 2018 Dealing with Multiple Classes in Online Class Imbalance Learning IJCAI 2016 Human Attribute Recognition by Rich Appearance Dictionary ICCV 2013 Weakly Supervised Learning for Attribute Localization in Outdoor Scenes CVPR 2013