Xin Zhang

103 papers · 2017–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (13) 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (28) 🧭 Keyword Pioneer 🏃 Academic Marathon (8) 🏆 Keyword Champion 👑 Triple Crown 🏆 Grand Slam 🌱 Topic Pioneer 🔬 Deep Specialist (17) 🤝 Dynamic Duo (11) 🚀 Conference Pioneer 📈 Trend Setter ⚡ Prolific Year (25) 💎 Century Club (100) 🗃️ Keyword Collector (82) 🔥 Unstoppable (9)

Conferences

ACL (19) AAAI (13) EMNLP (13) ICML (10) NIPS (9) CVPR (7) ICCV (6) JMLR (5) MICCAI (5) ICLR (4) IJCAI (3) ECCV (2) COLING (2) NAACL (2) IJCNLP (1) SEMEVAL (1) WACV (1)

Top co-authors

Meishan Zhang (11) Min Zhang (8) Pengjun Xie (7) Jia Liu (6) Zhuqing Liu (5) Xiao Liu (5) Yangyu Huang (5) Dong Zhang (4) Xiangmin Xu (4) Xipeng Qiu (4)

Research topics

Keywords

large language model (21) domain adaptation (9) object detection (4) language model (4) code generation (4) named entity recognition (4) zero-shot learning (3) neural network (3) multimodal learning (3) safety alignment (3) value alignment (3) text classification (3) preference optimization (3) semantic segmentation (3) federated learning (3) communication complexity (3) multimodal large language model (3) direct preference optimization (2) reinforcement learning (2) contrastive learning (2)

Papers

Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation AAAI 2026

Token-Context Attention for NLI: An Alternative to Self-Attention AAAI 2026

Multi-Objective Bilevel Learning AAAI 2026

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation ICML 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

Towards Text-Image Interleaved Retrieval ACL 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

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

SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models ICLR 2024

LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits ICML 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

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

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

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation MICCAI 2024

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval EMNLP 2024

Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NIPS 2024

SpeechAlign: Aligning Speech Generation to Human Preferences 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

Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment NIPS 2024

Cascade Prompt Learning for Visual-Language Model Adaptation ECCV 2024

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping AAAI 2024

UV-SAM: Adapting Segment Anything Model for Urban Village Identification AAAI 2024

Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery IJCAI 2024

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors ICML 2024

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

Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024

Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 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

Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network EMNLP 2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023

Ordinal Label Distribution Learning ICCV 2023

A PDE approach for regret bounds under partial monitoring JMLR 2023

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution WACV 2023

ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023

Extending Phrase Grounding with Pronouns in Visual Dialogues EMNLP 2022

Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations ACL 2022

Anarchic Federated Learning ICML 2022

Domain-Specific NER via Retrieving Correlated Samples COLING 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

Prediction against a limited adversary JMLR 2021

Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition IJCNLP 2021

Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021

A Language for Counterfactual Generative Models ICML 2021

Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition ACL 2021

Sociolectal Analysis of Pretrained Language Models EMNLP 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