← Authors

Xiao Wang

159 papers · 2016–2026 · 19 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (26) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (19) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (8) 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (22) ❓ The Questioner (3) πŸš€ Conference Pioneer ⚑ Prolific Year (19) πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (76) πŸ’Ž Century Club (148) πŸ“ˆ Trend Setter

Conferences

AAAI (35) NIPS (20) IJCAI (19) ACL (17) ICML (16) CVPR (13) ICLR (12) COLING (4) WACV (3) ICCV (3) EMNLP (2) ECCV (2) AISTATS (2) IJCNLP (2) INTERSPEECH (2) JMLR (2) ACML (2) UAI (2) AACL (1)

Top co-authors

Chuan Shi (22) Qi Zhang (19) Tao Gui (15) Xuanjing Huang (13) Lin Zhu (10) Ioannis Panageas (9) Shihan Dou (9) Rui Zheng (9) Xiaohua Zhai (9) Yonghong Tian (7)

Research topics

Privacy (3)

Keywords

graph neural network (20) large language model (13) contrastive learning (13) representation learning (13) self-supervised learning (11) object detection (7) event camera (6) node representation (5) graph convolutional network (5) vision transformer (5) few-shot learning (5) adversarial attack (5) graph contrastive learning (5) attention mechanism (5) node classification (5) neural network (5) unsupervised learning (4) vision-language model (4) adversarial robustness (4) federated learning (4)

Papers

Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026
Robust Pedestrian Detection with Uncertain Modality AAAI 2026
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding WACV 2026
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection WACV 2026
SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal AAAI 2026
When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework AAAI 2026
Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation AAAI 2026
MSTDiff: Multiscale-Aware Transformer Diffusion Network for Video Object Detection AAAI 2026
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement AAAI 2026
Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026
Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026
Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents AAAI 2026
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis WACV 2026
EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams ICML 2025
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention ICML 2025
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport ICML 2025
Censor Dependent Variational Inference ICML 2025
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games ICML 2025
On Large Language Model Continual Unlearning ICLR 2025
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching ICCV 2025
Split Adaptation for Pre-trained Vision Transformers CVPR 2025
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset CVPR 2025
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset CVPR 2025
Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework AAAI 2025
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection AAAI 2025
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion AAAI 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation AACL 2025
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025
InternLM-Law: An Open-Sourced Chinese Legal Large Language Model COLING 2025
Fine-Grained Constraint Generation-Verification for Improved Instruction-Following ACL 2025
Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports ACL 2025
MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025
DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models ACL 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding ACL 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation IJCNLP 2025
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model IJCAI 2025
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024
Nimbus: Secure and Efficient Two-Party Inference for Transformers NIPS 2024
ProxyFusion: Face Feature Aggregation Through Sparse Experts NIPS 2024
Uncovering the Redundancy in Graph Self-supervised Learning Models NIPS 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NIPS 2024
LocCa: Visual Pretraining with Location-aware Captioners NIPS 2024
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors AAAI 2024
Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception AAAI 2024
Finding Visual Saliency in Continuous Spike Stream AAAI 2024
A Generalized Neural Diffusion Framework on Graphs AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024
Navigating the OverKill in Large Language Models ACL 2024
P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline CVPR 2024
On Scaling Up a Multilingual Vision and Language Model CVPR 2024
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction ECCV 2024
Word-Conditioned 3D American Sign Language Motion Generation EMNLP 2024
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024
Confidential-DPproof: Confidential Proof of Differentially Private Training ICLR 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg ICML 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024
Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024
Less is More: on the Over-Globalizing Problem in Graph Transformers ICML 2024
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation IJCAI 2024
Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning UAI 2024
PaLI: A Jointly-Scaled Multilingual Language-Image Model ICLR 2023
Learning Invariant Molecular Representation in Latent Discrete Space NIPS 2023
Provable Training for Graph Contrastive Learning NIPS 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs AAAI 2023
Effective Contrastive Weighting for Dense Query Expansion ACL 2023
Multi-Scale Subgraph Contrastive Learning IJCAI 2023
Scaling Vision Transformers to 22 Billion Parameters ICML 2023
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023
Robust and Actively Secure Serverless Collaborative Learning NIPS 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models NIPS 2023
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails NIPS 2023
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023
Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
Intent-aware Recommendation via Disentangled Graph Contrastive Learning IJCAI 2023
Curricular Object Manipulation in LiDAR-Based Object Detection CVPR 2023
Deja Vu: Continual Model Generalization for Unseen Domains ICLR 2023
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022
LiT: Zero-Shot Transfer With Locked-Image Text Tuning CVPR 2022
Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting INTERSPEECH 2022
Self-supervised Graph Neural Networks for Multi-behavior Recommendation IJCAI 2022
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022
On the Importance of Asymmetry for Siamese Representation Learning CVPR 2022
Retinomorphic Object Detection in Asynchronous Visual Streams AAAI 2022
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022
Embedding Adaptation Network with Transformer for Few-Shot Action Recognition ACML 2022
Federated Class-Incremental Learning CVPR 2022
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization ICLR 2022
AdaGrad Avoids Saddle Points ICML 2022
Uncovering the Structural Fairness in Graph Contrastive Learning NIPS 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NIPS 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NIPS 2022
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022
Simple Open-Vocabulary Object Detection with Vision Transformers ECCV 2022
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras ICCV 2021
Learn To Match: Automatic Matching Network Design for Visual Tracking ICCV 2021
CaPC Learning: Confidential and Private Collaborative Learning ICLR 2021
Addressing Class Imbalance in Federated Learning AAAI 2021
Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021
Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021
Very Important Person Localization in Unconstrained Conditions: A New Benchmark AAAI 2021
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce AAAI 2021
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks IJCAI 2021
Temporal Heterogeneous Information Network Embedding IJCAI 2021
CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NIPS 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021
Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition ACML 2021
Universal Graph Convolutional Networks NIPS 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021
Motif-Preserving Temporal Network Embedding IJCAI 2020
Decorrelated Clustering with Data Selection Bias IJCAI 2020
Cross-Lingual Document Retrieval with Smooth Learning COLING 2020
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ICLR 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem ICLR 2020
When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark IJCAI 2020
Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020
Independence Promoted Graph Disentangled Networks AAAI 2020
Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data ICLR 2020
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NIPS 2020
First-order methods almost always avoid saddle points: The case of vanishing step-sizes NIPS 2019
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019
Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019
Hyperbolic Heterogeneous Information Network Embedding AAAI 2019
Power-law Distribution Aware Trust Prediction IJCAI 2018
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation CVPR 2018
On the Statistical Efficiency of Compositional Nonparametric Prediction AISTATS 2018
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units NIPS 2018
Ranking Preserving Nonnegative Matrix Factorization IJCAI 2018
Multi-Component Nonnegative Matrix Factorization IJCAI 2017
Context Regularity Indexed by Auditory N1 and P2 Event-Related Potentials INTERSPEECH 2017
Modularity Based Community Detection with Deep Learning IJCAI 2016