Jie Xu
60 papers · 2017–2026 · 16 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (16)
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Interdisciplinary Bridge
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Academic Marathon
(8)
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(19)
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Dynamic Duo
(10)
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Triple Crown
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Grand Slam
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Deep Specialist
(13)
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Trend Setter
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Unstoppable
(9)
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Conference Pioneer
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Prolific Year
(7)
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Keyword Collector
(245)
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Century Club
(54)
Conferences
AAAI (15)
ICCV (8)
NIPS (7)
CORL (5)
IJCAI (5)
EMNLP (3)
ICLR (3)
RSS (3)
ACL (2)
CVPR (2)
ICML (2)
AISTATS (1)
ECCV (1)
IJCNLP (1)
L4DC (1)
NAACL (1)
Top co-authors
Research topics
Keywords
contrastive learning
(12)
multi-view clustering
(11)
representation learning
(7)
federated learning
(6)
unsupervised learning
(4)
expectation maximization
(3)
graph neural network
(3)
multi-view learning
(3)
large language model
(3)
relation extraction
(2)
embedding learning
(2)
self-supervised learning
(2)
feature extraction
(2)
attention mechanism
(2)
robotic manipulation
(2)
sparse coding
(2)
metric learning
(2)
feature learning
(2)
sim-to-real transfer
(2)
multi-task learning
(2)
Papers
Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling
AAAI 2026
Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering
AAAI 2026
FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA
AAAI 2026
Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis
AAAI 2026
MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution
ACL 2026
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
AAAI 2026
Graph Embedded Contrastive Learning for Multi-View Clustering
IJCAI 2025
Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
ICLR 2025
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
ICCV 2025
Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
ICCV 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
ICCV 2025
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
AISTATS 2025
RetinexMCNet: A Memory Controller Dominated Network for Low-Light Video Enhancement Based on Retinex
ICCV 2025
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
AAAI 2025
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
AAAI 2025
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
AAAI 2025
VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
CORL 2025
Neural Robot Dynamics
CORL 2025
RVT-2: Learning Precise Manipulation from Few Demonstrations
RSS 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
NIPS 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
NIPS 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
NIPS 2024
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges
ACL 2024
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
CVPR 2024
Vision-Language Foundation Models as Effective Robot Imitators
ICLR 2024
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
ICML 2024
Simple Contrastive Multi-View Clustering with Data-Level Fusion
IJCAI 2024
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following
L4DC 2024
Contrastive Preference Learning for Neural Machine Translation
NAACL 2024
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries
RSS 2024
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network
ICCV 2023
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
ICCV 2023
RVT: Robotic View Transformer for 3D Object Manipulation
CORL 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
NIPS 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
ICCV 2023
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
AAAI 2023
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
ECCV 2022
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
CORL 2022
Multi-Level Feature Learning for Contrastive Multi-View Clustering
CVPR 2022
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
AAAI 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022
Simple Unsupervised Graph Representation Learning
AAAI 2022
Accelerated Policy Learning with Parallel Differentiable Simulation
ICLR 2022
A System for General In-Hand Object Re-Orientation
CORL 2021
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
NIPS 2021
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering
ICCV 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design
RSS 2021
Neural Dialogue State Tracking with Temporally Expressive Networks
EMNLP 2020
Federated Patient Hashing
AAAI 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
ICML 2020
Parallel Interactive Networks for Multi-Domain Dialogue State Generation
EMNLP 2020
Orthogonality-Promoting Dictionary Learning via Bayesian Inference
AAAI 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
EMNLP 2019
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
AAAI 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
IJCNLP 2019
Bilevel Distance Metric Learning for Robust Image Recognition
NIPS 2018
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward
NIPS 2018
Multi-Level Metric Learning via Smoothed Wasserstein Distance
IJCAI 2018
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
IJCAI 2017
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model
IJCAI 2017