Xue Jiang
23 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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(2)
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Century Club Β· Bronze
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The Questioner
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Renaissance Researcher
(6)
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Research topics
Machine Learning
(19)
Artificial Intelligence
(15)
Core AI
(15)
Application Areas
(11)
Deep Learning
(9)
Natural Language Processing
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(4)
Models
(3)
Resources & Methods
(3)
Security & Privacy
(2)
Architectures
(2)
Generation
(2)
Keywords
code generation
(6)
large language model
(4)
neural audio coding
(2)
speech coding
(2)
privacy leakage
(2)
out-of-distribution detection
(2)
adversarial attack
(2)
model memorization
(2)
reinforcement learning with verifiable reward
(2)
adversarial robustness
(1)
privacy preservation
(1)
semi-supervised learning
(1)
policy learning
(1)
cross-modal transfer
(1)
semantic segmentation
(1)
prompt engineering
(1)
pretraining
(1)
knowledge distillation
(1)
metric learning
(1)
class imbalance
(1)
Papers
CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
ACL 2026
KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
ACL 2026
Large Language Model Unlearning for Source Code
AAAI 2026
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
ACL 2026
Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation
ACL 2026
Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
AAAI 2026
A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
ACL 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
IJCNLP 2025
On the Generalization Ability of Next-Token-Prediction Pretraining
ICML 2025
PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs
IJCNLP 2025
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders
EMNLP 2025
Rethinking Repetition Problems of LLMs in Code Generation
ACL 2025
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
ACL 2024
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
AAAI 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
ICLR 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
ACL 2024
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
ACL 2024
Detecting Out-of-distribution Data through In-distribution Class Prior
ICML 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
CVPR 2022
Cross-Scale Vector Quantization for Scalable Neural Speech Coding
Interspeech 2022
Towards Error-Resilient Neural Speech Coding
Interspeech 2022
TreeBERT: A tree-based pre-trained model for programming language
UAI 2021