Hui Xiong

Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models ACL 2026 GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery ACL 2026 Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection AAAI 2026 SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection Framework ACL 2026 OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026 Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models AAAI 2026 Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning AAAI 2026 Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling IJCAI 2025 Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation ICCV 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification ICLR 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 SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction ICLR 2025 Efficient Skill Discovery via Regret-Aware Optimization ICML 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025 SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes ICML 2025 GCAL: Adapting Graph Models to Evolving Domain Shifts ICML 2025 Editable Concept Bottleneck Models ICML 2025 Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 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 RGB-Event ISP: The Dataset and Benchmark ICLR 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Improve Dense Passage Retrieval with Entailment Tuning EMNLP 2024 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ICLR 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024 SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network NIPS 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NIPS 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NIPS 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 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 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 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach ICML 2024 Temporal Graph Contrastive Learning for Sequential Recommendation AAAI 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024 "UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation" ECCV 2024 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities EMNLP 2024 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023 UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction NIPS 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 Semi-supervised Domain Adaptation in Graph Transfer Learning IJCAI 2023 MetAug: Contrastive Learning via Meta Feature Augmentation ICML 2022 Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022 Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach EMNLP 2022 AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NIPS 2022 MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NIPS 2022 Learning to Walk with Dual Agents for Knowledge Graph Reasoning AAAI 2022 GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction AAAI 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022 Topic Modeling Revisited: A Document Graph-based Neural Network Perspective NIPS 2021 Out-of-Town Recommendation with Travel Intention Modeling AAAI 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021 Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling AAAI 2021 Coupled Layer-wise Graph Convolution for Transportation Demand Prediction AAAI 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021 Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks AAAI 2021 Community-Aware Multi-Task Transportation Demand Prediction AAAI 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation NIPS 2021 Joint Intent Detection and Entity Linking on Spatial Domain Queries EMNLP 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 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020 Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019 Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification AAAI 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019 Comprehensive Semi-Supervised Multi-Modal Learning IJCAI 2019 Representing Urban Functions through Zone Embedding with Human Mobility Patterns IJCAI 2018 Sequential Recommender System based on Hierarchical Attention Networks IJCAI 2018 Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective IJCAI 2018 A Joint Learning Approach to Intelligent Job Interview Assessment IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018 Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback IJCAI 2016 PageRank with Priors: An Influence Propagation Perspective IJCAI 2013 A Theoretic Framework of K-Means-Based Consensus Clustering IJCAI 2013