Jun Sun
40 papers · 2009–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Academic Marathon (16)
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Academic Marathon
(16)
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Cross-Pollinator
(13)
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Renaissance Researcher
(11)
π±
Topic Pioneer
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Grand Slam
β‘
Prolific Year
(8)
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Conference Pioneer
β
The Questioner
π₯
Unstoppable
(5)
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Century Club
(35)
ποΈ
Keyword Collector
(180)
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Trend Setter
Conferences
AAAI (10)
ACL (6)
EMNLP (5)
NIPS (4)
CVPR (3)
ICML (3)
IJCAI (2)
ACML (1)
AISTATS (1)
COLING (1)
EACL (1)
ICLR (1)
IJCNLP (1)
WACV (1)
Top co-authors
Keywords
large language model
(6)
representation learning
(4)
domain adaptation
(4)
emotion recognition
(3)
emotional reasoning
(2)
object detection
(2)
vision-language model
(2)
multimodal learning
(2)
multi-modal learning
(2)
adversarial attack
(2)
model compression
(2)
anomaly detection
(2)
multimodal domain adaptation
(2)
information bottleneck
(2)
adversarial robustness
(1)
feature learning
(1)
multi-agent reinforcement learning
(1)
adversarial learning
(1)
semantic segmentation
(1)
learning theory
(1)
Papers
Towards Provably Unlearnable Examples via Bayes Error Optimization
AAAI 2026
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
EACL 2026
Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
AAAI 2026
SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks
AAAI 2026
Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms
ACL 2026
Democratic Training Against Universal Adversarial Perturbations
ICLR 2025
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
AAAI 2025
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
AAAI 2025
Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities
ACL 2025
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity
IJCAI 2025
Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods
ICML 2025
LLMScan: Causal Scan for LLM Misbehavior Detection
ICML 2025
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
ICML 2025
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs
EMNLP 2025
Do Influence Functions Work on Large Language Models?
EMNLP 2025
Third-Person Appraisal Agent: Simulating Human Emotional Reasoning in Text with Large Language Models
EMNLP 2025
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective
NIPS 2024
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
NIPS 2024
Amanda: Adaptively Modality-Balanced Domain Adaptation for Multimodal Emotion Recognition
ACL 2024
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
EMNLP 2024
Multi-Region Text-Driven Manipulation of Diffusion Imagery
AAAI 2024
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
AAAI 2024
DetectiveNN: Imitating Human Emotional Reasoning with a Recall-Detect-Predict Framework for Emotion Recognition in Conversations
EMNLP 2024
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
NIPS 2024
One-for-All: Proposal Masked Cross-Class Anomaly Detection
AAAI 2023
Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition
ACL 2023
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
CVPR 2023
No-Reference Point Cloud Quality Assessment via Domain Adaptation
CVPR 2022
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation
IJCAI 2022
PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection With Loose Annotations
WACV 2022
CircleNet for Hip Landmark Detection
AAAI 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection
CVPR 2020
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
NIPS 2019
Safeguarded Dynamic Label Regression for Noisy Supervision
AAAI 2019
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA
ACML 2018
Exploring Syntactic Structural Features for Sub-Tree Alignment Using Bilingual Tree Kernels
ACL 2010
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
COLING 2010
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
ACL 2009
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
IJCNLP 2009