Xu Shen
33 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
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ACL (6)
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ICCV (3)
IJCAI (3)
AAAI (2)
EMNLP (2)
ICML (2)
NIPS (2)
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Keywords
large language model
(4)
representation learning
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attention mechanism
(3)
contrastive learning
(3)
knowledge distillation
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transfer learning
(3)
convolutional neural network
(3)
person re-identification
(3)
neural network
(2)
image classification
(2)
multi-agent system
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vision-language model
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representation engineering
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attention head
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model compression
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deep learning
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semi-supervised learning
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video understanding
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gait recognition
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self-supervised learning
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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
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions
ACL 2025
NeuronMerge: Merging Models via Functional Neuron Groups
ACL 2025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
EMNLP 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
ACL 2025
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
ACL 2025
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
ICLR 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
ICLR 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
ICLR 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
IJCAI 2025
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
CVPR 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
EMNLP 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph
ACL 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
NIPS 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
ICML 2024
Interpreting and Improving Large Language Models in Arithmetic Calculation
ICML 2024
Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
ICLR 2023
Contextual Convolutional Networks
ICLR 2023
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
NIPS 2023
Meta Convolutional Neural Networks for Single Domain Generalization
CVPR 2022
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
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object Alignment
ICCV 2021
Partial Person Re-Identification With Part-Part Correspondence Learning
CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
CVPR 2021
Dense Interaction Learning for Video-Based Person Re-Identification
ICCV 2021
3D Local Convolutional Neural Networks for Gait Recognition
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