Zenglin Xu

End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning ACL 2026 Renormalization Group Guided Tensor Network Structure Search AAAI 2026 Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models AACL 2025 Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning IJCNLP 2025 Efficient Network Automatic Relevance Determination ICML 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification ICML 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training ICLR 2025 From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs EMNLP 2025 FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making EMNLP 2025 Position: LLMs Can be Good Tutors in English Education EMNLP 2025 A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions COLT 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning AACL 2025 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping AAAI 2025 Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024 OctOcc: High-Resolution 3D Occupancy Prediction with Octree AAAI 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection ACL 2024 SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC ACL 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 On Diversified Preferences of Large Language Model Alignment EMNLP 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024 FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 2024 MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023 Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling EMNLP 2023 APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models EMNLP 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NIPS 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting IJCAI 2023 Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning IJCAI 2023 Reusing Pretrained Models by Multi-linear Operators for Efficient Training NIPS 2023 ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities EACL 2023 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering ICCV 2023 Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023 FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023 Channel Importance Matters in Few-Shot Image Classification ICML 2022 Contrastive Multi-view Hyperbolic Hierarchical Clustering IJCAI 2022 Multi-View Clustering on Topological Manifold AAAI 2022 Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022 Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022 SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022 Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering EMNLP 2022 Multi-view Subspace Clustering on Topological Manifold NIPS 2022 Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid NIPS 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022 Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi EACL 2021 Rectifying the Shortcut Learning of Background for Few-Shot Learning NIPS 2021 ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NIPS 2021 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 Large-Scale Multi-View Subspace Clustering in Linear Time AAAI 2020 Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples ECCV 2020 Mutual Information Gradient Estimation for Representation Learning ICLR 2020 Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition AAAI 2019 Multiple Partitions Aligned Clustering IJCAI 2019 Additive Adversarial Learning for Unbiased Authentication CVPR 2019 Similarity Learning via Kernel Preserving Embedding AAAI 2019 Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection ACL 2019 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018 Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification IJCAI 2018 Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition CVPR 2018 Robust Softmax Regression for Multi-class Classification with Self-Paced Learning IJCAI 2017 Multi-View Learning with Limited and Noisy Tagging IJCAI 2016 Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016 Distributed Flexible Nonlinear Tensor Factorization NIPS 2016 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009 Adaptive Regularization for Transductive Support Vector Machine NIPS 2009 An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008 Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007