Jianwei Yin

Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness AAAI 2026 DRAMA: Next-Gen Dynamic Orchestration for Resilient Multi-Agent Ecosystems in Flux CVPR 2026 Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization AAAI 2026 IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation CVPR 2026 Relational Verification for Cost-Aware Quantum Program Optimization AAAI 2026 RobustRL: Role-Based Fault Tolerance System for RL Post-Training OSDI 2026 SAME: Signer-Aware Mixture-of-Experts for Test-Time Adaptation in Sign Language Translation ACL 2026 Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding ICLR 2025 CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing EMNLP 2025 CollabEdit: Towards Non-destructive Collaborative Knowledge Editing ICLR 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches IJCAI 2025 Horae: A Domain-Agnostic Language for Automated Service Regulation IJCAI 2025 Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks ACL 2025 Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization IJCAI 2025 The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding? ACL 2025 Tool-Planner: Task Planning with Clusters across Multiple Tools ICLR 2025 ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration EMNLP 2025 ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction AAAI 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NeurIPS 2024 ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis ACL 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024 GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection AAAI 2024 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ACL 2024 SecCoder: Towards Generalizable and Robust Secure Code Generation EMNLP 2024 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 Jointly Imputing Multi-View Data with Optimal Transport AAAI 2023 Truthful Mechanisms for Steiner Tree Problems AAAI 2023 An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models EMNLP 2022 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Joint Partial Optimal Transport for Open Set Domain Adaptation IJCAI 2020