← Authors

Hui Xiong

87 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (18) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (349) πŸ“ˆ Trend Setter πŸ’Ž Century Club (83)

Conferences

AAAI (24) IJCAI (18) NIPS (14) EMNLP (10) ICML (10) ICLR (6) ICCV (3) ACL (1) ECCV (1)

Top co-authors

Hao Liu (16) Hengshu Zhu (12) Chao Wang (9) Fuzhen Zhuang (8) Ying Sun (7) Chuan Qin (7) Changwen Zheng (5) Dejing Dou (5) Wenwen Qiang (5) Tong Xu (5)

Research topics

Privacy (1)

Keywords

representation learning (11) graph neural network (10) attention mechanism (8) contrastive learning (7) multi-task learning (6) knowledge graph (6) neural network (5) large language model (5) self-supervised learning (5) knowledge distillation (4) semi-supervised learning (3) multi-agent system (3) domain adaptation (3) reinforcement learning (3) model compression (3) sequence modeling (3) sequential recommendation (3) question answering (2) link prediction (2) data augmentation (2)

Papers

Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection AAAI 2026
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models AAAI 2026
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026
Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning AAAI 2026
Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025
Efficient Skill Discovery via Regret-Aware Optimization ICML 2025
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis ICML 2025
Editable Concept Bottleneck Models ICML 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts ICML 2025
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes ICML 2025
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling IJCAI 2025
TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations AAAI 2025
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation AAAI 2025
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation AAAI 2025
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data ACL 2025
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning EMNLP 2025
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025
Explaining Length Bias in LLM-Based Preference Evaluations EMNLP 2025
MagicCity: Geometry-Aware 3D City Generation from Satellite Imagery with Multi-View Consistency ICCV 2025
Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation ICCV 2025
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction ICLR 2025
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification ICLR 2025
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025
RGB-Event ISP: The Dataset and Benchmark ICLR 2025
OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 2025
Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NIPS 2024
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024
Improve Dense Passage Retrieval with Entailment Tuning EMNLP 2024
Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities EMNLP 2024
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
Improving Gloss-free Sign Language Translation by Reducing Representation Density NIPS 2024
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment NIPS 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NIPS 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NIPS 2024
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ICLR 2024
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation IJCAI 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting IJCAI 2024
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network NIPS 2024
Temporal Graph Contrastive Learning for Sequential Recommendation AAAI 2024
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach ICML 2024
"UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation" ECCV 2024
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction NIPS 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning IJCAI 2023
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023
A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation EMNLP 2023
Cross-modality Data Augmentation for End-to-End Sign Language Translation EMNLP 2023
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing ICCV 2023
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach EMNLP 2022
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction AAAI 2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022
Learning to Walk with Dual Agents for Knowledge Graph Reasoning AAAI 2022
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NIPS 2022
MetAug: Contrastive Learning via Meta Feature Augmentation ICML 2022
Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation NIPS 2021
Community-Aware Multi-Task Transportation Demand Prediction AAAI 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks AAAI 2021
Out-of-Town Recommendation with Travel Intention Modeling AAAI 2021
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction AAAI 2021
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling AAAI 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective NIPS 2021
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020
Why We Go Where We Go: Profiling User Decisions on Choosing POIs IJCAI 2020
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion AAAI 2020
Joint Intent Detection and Entity Linking on Spatial Domain Queries EMNLP 2020
Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification AAAI 2019
Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019
Comprehensive Semi-Supervised Multi-Modal Learning IJCAI 2019
Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019
Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019
Sequential Recommender System based on Hierarchical Attention Networks IJCAI 2018
Representing Urban Functions through Zone Embedding with Human Mobility Patterns IJCAI 2018
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective IJCAI 2018
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018
A Joint Learning Approach to Intelligent Job Interview Assessment IJCAI 2018
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback IJCAI 2016
A Theoretic Framework of K-Means-Based Consensus Clustering IJCAI 2013
PageRank with Priors: An Influence Propagation Perspective IJCAI 2013