Xue Jiang

25 papers · 2021–2026 · 10 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🐝 Cross-Pollinator (10) 🏃 Academic Marathon (5) 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8)

🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (10) 💎 Century Club (19) 🗃️ Keyword Collector (96) 🔥 Unstoppable (5) ⚡ Prolific Year (5)

Conferences

ACL (9) AAAI (4) AACL (2) ICML (2) IJCNLP (2) INTERSPEECH (2) CVPR (1) EMNLP (1) ICLR (1) UAI (1)

Top co-authors

Zhi Jin (8) Ge Li (8) Yihong Dong (8) Xuebing Zhou (6) Ahmed Frikha (6) Ricardo Mendes (6) Krishna kanth Nakka (6) Feng Zheng (5) Hong Chen (4) Wenpin Jiao (3)

Research topics

Privacy (2)

Keywords

code generation (6) large language model (5) privacy leakage (4) adversarial attack (3) text anonymization (2) pretrained language model (2) reinforcement learning with verifiable reward (2) speech coding (2) model memorization (2) benchmark evaluation (2) neural audio coding (2) private attribute (2) cross-modal transfer (1) policy learning (1) adversarial robustness (1) privacy preservation (1) semi-supervised learning (1) semantic segmentation (1) prompt engineering (1) vector quantization (1)

Papers

CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment 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 KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development? 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 IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025 IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization AACL 2025 PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs AACL 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 A Semi-supervised Scalable Unified Framework for E-commerce Query Classification ACL 2025 On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025 Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ACL 2024 Negative Label Guided OOD Detection with Pretrained Vision-Language Models ICLR 2024 Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 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-Scale Vector Quantization for Scalable Neural Speech Coding INTERSPEECH 2022 Towards Error-Resilient Neural Speech Coding INTERSPEECH 2022 Cross-Image Relational Knowledge Distillation for Semantic Segmentation CVPR 2022 TreeBERT: A tree-based pre-trained model for programming language UAI 2021