← Authors

Zenglin Xu

80 papers · 2007–2026 · 20 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (20) πŸ—ΊοΈ Taxonomy Completionist (26) 🐝 Cross-Pollinator (10) 🀝 Dynamic Duo (18) πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (13) ⚑ Prolific Year (16) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (94) πŸ’Ž Century Club (78)

Conferences

NIPS (13) EMNLP (12) AAAI (11) IJCAI (10) ACL (8) ICML (5) AISTATS (3) CVPR (2) EACL (2) AACL (2) IJCNLP (2) ICLR (2) UAI (1) NAACL (1) JMLR (1) ICCV (1) ECCV (1) COLT (1) COLING (1) ACML (1)

Top co-authors

Qifan Wang (19) Irwin King (10) Dongfang Liu (9) Fuli Feng (8) Zhuo Zhang (8) Hui Wang (7) Lizhen Qu (7) Yazhou Ren (7) Yu Pan (6) Li Yang (6)

Research topics

Privacy (1) Education (1)

Keywords

federated learning (10) large language model (9) model compression (6) representation learning (6) tensor decomposition (5) multi-view clustering (5) few-shot learning (4) transfer learning (4) recurrent neural network (4) prompt tuning (4) kernel methods (3) privacy preservation (3) variational inference (3) matrix completion (3) sentiment analysis (2) bayesian inference (2) text classification (2) combinatorial optimization (2) image classification (2) convex optimization (2)

Papers

Renormalization Group Guided Tensor Network Structure Search AAAI 2026
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
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025
A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions COLT 2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification ICML 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models AACL 2025
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping AAAI 2025
Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning 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
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025
From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs EMNLP 2025
IDInit: A Universal and Stable Initialization Method for Neural Network Training ICLR 2025
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC ACL 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 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
On Diversified Preferences of Large Language Model Alignment EMNLP 2024
A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection ACL 2024
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
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NIPS 2023
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities EACL 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
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering ICCV 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting IJCAI 2023
FedLab: A Flexible Federated Learning Framework JMLR 2023
Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023
Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering EMNLP 2022
Multi-View Clustering on Topological Manifold AAAI 2022
Channel Importance Matters in Few-Shot Image Classification ICML 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 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
Contrastive Multi-view Hyperbolic Hierarchical Clustering IJCAI 2022
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning NIPS 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NIPS 2021
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi EACL 2021
Large-Scale Multi-View Subspace Clustering in Linear Time AAAI 2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples ECCV 2020
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020
Mutual Information Gradient Estimation for Representation Learning ICLR 2020
Multiple Partitions Aligned Clustering IJCAI 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition AAAI 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
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition CVPR 2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification IJCAI 2018
Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning IJCAI 2017
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Multi-View Learning with Limited and Noisy Tagging IJCAI 2016
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 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