Lei Shi

Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract) AAAI 2026 MusicRec: Multi-modal Semantic-Enhanced Identifier with Collaborative Signals for Generative Recommendation AAAI 2026 Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval AAAI 2026 GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR ACL 2026 MoE-Guided Graph Diffusion for Oriented Molecule Design AAAI 2026 SmartEraser: Remove Anything from Images using Masked-Region Guidance CVPR 2025 ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025 Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence ICML 2025 ActionDiffusion: An Action-Aware Diffusion Model for Procedure Planning in Instructional Videos WACV 2025 CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling ICML 2025 IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack AAAI 2025 Radiology Report Generation via Multi-objective Preference Optimization AAAI 2025 Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution AAAI 2025 THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction AAAI 2025 Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection AAAI 2025 EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking IJCAI 2025 Online Iterative Self-Alignment for Radiology Report Generation ACL 2025 Zero-Inflated Bandits ICML 2025 Neural Machine Translation for Agglutinative Languages via Data Rejuvenation ACL 2025 A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation ACL 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models EMNLP 2025 Stratified GNN Explanations through Sufficient Expansion AAAI 2024 An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NIPS 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024 Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NIPS 2024 Neural Reasoning about Agents’ Goals, Preferences, and Actions AAAI 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024 Structural Information Enhanced Graph Representation for Link Prediction AAAI 2024 Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition ACL 2024 LEGENT: Open Platform for Embodied Agents ACL 2024 Multi-Modal Video Dialog State Tracking in the Wild ECCV 2024 VD-GR: Boosting Visual Dialog With Cascaded Spatial-Temporal Multi-Modal Graphs WACV 2024 Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Unsupervised Deep Graph Structure and Embedding Learning IJCAI 2024 Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023 Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023 Transformers over Directed Acyclic Graphs NIPS 2023 Improving Self-supervised Molecular Representation Learning using Persistent Homology NIPS 2023 Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate NIPS 2022 AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition ICCV 2021 Generalization Properties of hyper-RKHS and its Applications JMLR 2021 EDGE20: A Cross Spectral Evaluation Dataset for Multiple Surveillance Problems WACV 2020 Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition ECCV 2020 Skeleton-Based Action Recognition With Directed Graph Neural Networks CVPR 2019 Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization JMLR 2019 Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition CVPR 2019 Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision IJCAI 2018 Convergence of Unregularized Online Learning Algorithms JMLR 2018 Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network JMLR 2017 Latent Topic Embedding COLING 2016 Diversifying Convex Transductive Experimental Design for Active Learning IJCAI 2016 Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization IJCAI 2015 Learning with the Maximum Correntropy Criterion Induced Losses for Regression JMLR 2015 Recovery of Corrupted Multiple Kernels for Clustering IJCAI 2015 Robust Multiple Kernel K-means Using L21-Norm IJCAI 2015 Unsupervised Template Mining for Semantic Category Understanding EMNLP 2014 Ramp Loss Linear Programming Support Vector Machine JMLR 2014 Sparse Additive Text Models with Low Rank Background NIPS 2013 Bayesian Probabilistic Co-Subspace Addition NIPS 2012 Cross Language Text Classification by Model Translation and Semi-Supervised Learning EMNLP 2010 Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009 Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model EMNLP 2008 A DOM Tree Alignment Model for Mining Parallel Data from the Web COLING 2006 A DOM Tree Alignment Model for Mining Parallel Data from the Web ACL 2006 Open Text Semantic Parsing Using FrameNet and WordNet NAACL 2004