Jie Ren
47 papers · 2019–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jie Ren?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jiliang Tang, Han Xu, Hui LIU
14 papers
· 2023–2025
· ACL, EMNLP, ICLR
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A General Framework to Enhance Fine-tuning-based LLM Unlearning
ACL 2025
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
EMNLP 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
CVPR 2025
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
AISTATS 2025
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
NAACL 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
WACV 2024
On the Generalization of Training-based ChatGPT Detection Methods
EMNLP 2024
Sharpness-Aware Data Poisoning Attack
ICLR 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
ECCV 2024
Probabilistic Categorical Adversarial Attack and Adversarial Training
ICML 2023
Transferable Unlearnable Examples
ICLR 2023
7 papers whose co-authors appear nowhere else under this name
HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection
AAAI 2025
Revisiting Mode Connectivity in Neural Networks with Bezier Surface
ICLR 2025
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
NeurIPS 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
EMNLP 2024
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
AAAI 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
EMNLP 2023
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory
NeurIPS 2020