Xin Zhang

Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation AAAI 2026 How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel ACL 2026 Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization ACL 2026 Demystifying Data Organization for Enhanced LLM Training ACL 2026 XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs ACL 2026 Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models ACL 2026 Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering ACL 2026 Token-Context Attention for NLI: An Alternative to Self-Attention AAAI 2026 Multi-Objective Bilevel Learning AAAI 2026 Towards Text-Image Interleaved Retrieval ACL 2025 Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles AAAI 2025 PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis AAAI 2025 ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions AAAI 2025 CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems AAAI 2025 ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques AAAI 2025 Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025 Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models AAAI 2025 Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models ACL 2025 MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark ACL 2025 TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis ACL 2025 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025 FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation ACL 2025 LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025 P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts ACL 2025 SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling ACL 2025 Process-based Self-Rewarding Language Models ACL 2025 ShieldHead: Decoding-time Safeguard for Large Language Models ACL 2025 Language Models are Universal Embedders ACL 2025 FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task COLING 2025 Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation CVPR 2025 SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection CVPR 2025 JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems CVPR 2025 RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark CVPR 2025 Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models CVPR 2025 MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025 Teaching Your Models to Understand Code via Focal Preference Alignment EMNLP 2025 An Orthogonal High-Rank Adaptation for Large Language Models EMNLP 2025 Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary EMNLP 2025 THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction EMNLP 2025 Drawing Developmental Trajectory from Cortical Surface Reconstruction ICCV 2025 DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing ICCV 2025 Neural Shell Texture Splatting: More Details and Fewer Primitives ICCV 2025 Moderating the Generalization of Score-based Generative Model ICCV 2025 MIEB: Massive Image Embedding Benchmark ICCV 2025 Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator ICLR 2025 LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation ICML 2025 AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation ICML 2025 EpiCoder: Encompassing Diversity and Complexity in Code Generation ICML 2025 Heterogeneous Sufficient Dimension Reduction and Subspace Clustering ICML 2025 ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025 EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs IJCAI 2025 Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis MICCAI 2025 Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals MICCAI 2025 SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction MICCAI 2025 Instantly Learning Preference Alignment via In-context DPO NAACL 2025 BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment NAACL 2025 Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment NIPS 2024 Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors ICML 2024 LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits ICML 2024 Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024 Multi-Response Linear Discriminant Analysis in High Dimensions JMLR 2024 Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning MICCAI 2024 mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval EMNLP 2024 HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping AAAI 2024 UV-SAM: Adapting Segment Anything Model for Urban Village Identification AAAI 2024 Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation MICCAI 2024 SpeechAlign: Aligning Speech Generation to Human Preferences NIPS 2024 Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NIPS 2024 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection NIPS 2024 AutoSurvey: Large Language Models Can Automatically Write Surveys NIPS 2024 PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift ICLR 2024 Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery IJCAI 2024 PromptKD: Unsupervised Prompt Distillation for Vision-Language Models CVPR 2024 Cascade Prompt Learning for Visual-Language Model Adaptation ECCV 2024 ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models ACL 2024 WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning ACL 2024 AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling ACL 2024 Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm ACL 2024 Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024 SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models ICLR 2024 Ordinal Label Distribution Learning ICCV 2023 A PDE approach for regret bounds under partial monitoring JMLR 2023 GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023 Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution WACV 2023 Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network EMNLP 2023 Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation EMNLP 2023 TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce EMNLP 2023 ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation EMNLP 2023 SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities EMNLP 2023 Domain-Specific NER via Retrieving Correlated Samples COLING 2022 Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations ACL 2022 SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning NIPS 2022 Out-of-Distribution Detection with Boundary Aware Learning ECCV 2022 Anarchic Federated Learning ICML 2022 Extending Phrase Grounding with Pronouns in Visual Dialogues EMNLP 2022 A Language for Counterfactual Generative Models ICML 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021 Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition ACL 2021 Prediction against a limited adversary JMLR 2021 Sociolectal Analysis of Pretrained Language Models EMNLP 2021 Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition IJCNLP 2021 The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response JMLR 2020 f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning NIPS 2020 Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module AAAI 2019 Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections NIPS 2018 FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering SEMEVAL 2017