Wen Shen

Orcid: 0000-0002-4210-5447

Affiliations:
  • Tongji University, Shanghai, China


According to our database1, Wen Shen authored at least 39 papers between 2015 and 2026.

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Bibliography

2026
Multilingual Safety Alignment via Self-Distillation.
CoRR, May, 2026

TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation.
CoRR, April, 2026

Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift.
CoRR, March, 2026

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation.
CoRR, December, 2025

FOLK: Fast Open-Vocabulary 3D Instance Segmentation via Label-guided Knowledge Distillation.
CoRR, October, 2025

Infusing Multi-Hop Medical Knowledge Into Smaller Language Models for Biomedical Question Answering.
IEEE J. Biomed. Health Informatics, July, 2025

M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment.
CoRR, February, 2025

Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

StyleCSR: Style-controllable Sequential Recommendation with Prompt Tuning.
Proceedings of the International Joint Conference on Neural Networks, 2025

Leveraging Debiased Cross-Modal Attention Maps and Code-Based Reasoning for Zero-Shot Referring Expression Comprehension.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Explaining Generalization Power of a DNN Using Interactive Concepts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Batch Normalization Is Blind to the First and Second Derivatives of the Loss.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Clarifying the Behavior and the Difficulty of Adversarial Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models.
CoRR, 2023

Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
CoRR, 2023

Concept-Level Explanation for the Generalization of a DNN.
CoRR, 2023

Defects of Convolutional Decoder Networks in Frequency Representation.
Proceedings of the International Conference on Machine Learning, 2023

2022
Batch Normalization Is Blind to the First and Second Derivatives of the Loss.
CoRR, 2022

Why Adversarial Training of ReLU Networks Is Difficult?
CoRR, 2022

2021
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interpretable Compositional Convolutional Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Three-way decisions based blocking reduction models in hierarchical classification.
Inf. Sci., 2020

Improved general attribute reduction algorithms.
Inf. Sci., 2020

An Automatic Image Segmentation Algorithm Based on Three-Way Decisions.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

3D-Rotation-Equivariant Quaternion Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
A self-adaptive cascade ConvNets model based on label relation mining.
Neurocomputing, 2019

Utility Analysis of Network Architectures for 3D Point Cloud Processing.
CoRR, 2019

A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Explaining the PointNet: What Has Been Learned Inside the PointNet?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A CLAIM Approach to Understanding the PointNet.
Proceedings of the ACAI 2019: 2nd International Conference on Algorithms, 2019

2018
Travel pattern modelling and future travel behaviour prediction based on GMM and GPR.
Int. J. Simul. Process. Model., 2018

Selective Feature Fusion Based Adaptive Image Segmentation Algorithm.
Adv. Multim., 2018

2017
A Self-adaptive Cascade ConvNets Model Based on Three-Way Decision Theory.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2015
Multiple Granular Analysis of TCM Data with Applications on Diagnosis of Hepatitis B.
Proceedings of the 2015 IEEE International Conference on Systems, 2015


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