Xu Shen
33 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(13)
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(2)
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(5)
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Venues
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Research topics
Machine Learning
(21)
Deep Learning
(20)
Artificial Intelligence
(13)
Core AI
(13)
Core Methods
(11)
Computer Vision
(10)
Application Areas
(9)
Learning Types Β· Deep Learning
(9)
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Learning Types Β· Machine Learning
(7)
Techniques
(7)
Natural Language Processing
(6)
Optimization & Theory
(6)
Analysis
(5)
Processing
(5)
Keywords
representation learning
(6)
large language model
(6)
convolutional neural network
(4)
transfer learning
(3)
contrastive learning
(3)
attention head
(3)
attention mechanism
(3)
neural network
(3)
person re-identification
(3)
knowledge distillation
(3)
vision-language model
(3)
image classification
(2)
representation engineering
(2)
fine tuning
(2)
deep learning
(2)
model merging
(2)
knowledge graph
(2)
model compression
(2)
video understanding
(2)
neural network architecture
(2)
Papers
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
ACL 2026
Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs
AAAI 2026
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
AAAI 2026
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
ACL 2025
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
ICLR 2025
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
IJCAI 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
ICLR 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
NeuronMerge: Merging Models via Functional Neuron Groups
ACL 2025
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions
ACL 2025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
EMNLP 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
ICLR 2025
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
ACL 2025
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
CVPR 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
NeurIPS 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
ICML 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
EMNLP 2024
Interpreting and Improving Large Language Models in Arithmetic Calculation
ICML 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph
ACL 2024
Contextual Convolutional Networks
ICLR 2023
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
NeurIPS 2023
Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
ICLR 2023
Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization
CVPR 2022
Delving into Details: Synopsis-to-Detail Networks for Video Recognition
ECCV 2022
Meta Convolutional Neural Networks for Single Domain Generalization
CVPR 2022
3D Local Convolutional Neural Networks for Gait Recognition
ICCV 2021
Dense Interaction Learning for Video-Based Person Re-Identification
ICCV 2021
Partial Person Re-Identification With Part-Part Correspondence Learning
CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
CVPR 2021
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object Alignment
ICCV 2021
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
CVPR 2019
Quantization Networks
CVPR 2019
Classification and Representation Joint Learning via Deep Networks
IJCAI 2017