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Xin Wang

352 papers · 2009–2026 · 26 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 79 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Xin Wang?

31 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Yili Wang, Ying Wang, Kaixiong Zhou 20 papers · 2020–2026 · ACL, AAAI, EMNLP Hide ▲
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks ACL 2026 Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling AAAI 2026 HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting AAAI 2026 When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents ACL 2026 CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025 Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning IJCAI 2025 Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space IJCAI 2025 Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems EMNLP 2025 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models ICLR 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision CVPR 2024 Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion EMNLP 2024 PokeMQA: Programmable knowledge editing for Multi-hop Question Answering ACL 2024 Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 2024 Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases ACL 2023 Orthogonal Graph Neural Networks AAAI 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022 Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation AAAI 2020
48 papers whose co-authors appear nowhere else under this name
A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026 Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026 BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Models AAAI 2026 Demo2Tutorial: From Human Experience to Multimodal Software Tutorials CVPR 2026 Don’t Click That: Teaching Web Agents to Resist Deceptive Interfaces ACL 2026 Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting? ACL 2026 LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection ACL 2026 SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems AAAI 2026 Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks AAAI 2026 Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats ACL 2026 3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors ICML 2025 A Sequential Multi-Stage Approach for Code Vulnerability Detection via Confidence- and Collaboration-based Decision Making EMNLP 2025 Adaptive Dual Guidance Knowledge Distillation AAAI 2025 Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 2025 ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement AAAI 2025 EIKEA:Enhancing In-Context Knowledge Editing by Agents ACML 2025 FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error CVPR 2025 FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization IJCAI 2025 Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction COLING 2025 Implicit degree bias in the link prediction task ICML 2025 LLM-based Business Process Models Generation from Textual Descriptions IJCNLP 2025 NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls EMNLP 2025 Predictive Performance of Deep Quantum Data Re-uploading Models ICML 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals ICML 2025 SCALM: Detecting Bad Practices in Smart Contracts Through LLMs AAAI 2025 Set-Valued Sensitivity Analysis of Deep Neural Networks AAAI 2025 Texture Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection WACV 2025 TopicGeo: An Efficient Unified Framework for Geolocation ICCV 2025 Towards Robust and Scalable Knowledge Editing in Text-to-Image Diffusion Models ACML 2025 Enhancing Video Super-Resolution via Implicit Resampling-based Alignment CVPR 2024 LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation MICCAI 2024 Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches IJCAI 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking NeurIPS 2024 HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting ICCV 2023 Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion NeurIPS 2023 SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory OSDI 2023 A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes Interspeech 2022 Dependency Position Encoding for Relation Extraction NAACL 2022 Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining AAAI 2022 Dynamic Multi-Scale Convolution for Dialect Identification Interspeech 2021 Wanderlust: Online Continual Object Detection in the Real World ICCV 2021 Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax IJCAI 2020 How fine can fine-tuning be? Learning efficient language models AISTATS 2020 SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation AAAI 2020 Subjective Quality Evaluation of Speech Signals Transmitted via BPL-PLC Wired System Interspeech 2020 Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization ICML 2019 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks NeurIPS 2017 Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space NSDI 2016