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 Junichi Yamagishi, Nicholas Evans, Erica Cooper
31 papers
· 2016–2025
· Interspeech, ACL
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with Yili Wang, Ying Wang, Kaixiong Zhou
20 papers
· 2020–2026
· ACL, AAAI, EMNLP
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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