Du Su

Orcid: 0000-0002-6767-6019

According to our database1, Du Su authored at least 18 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Markov Likelihood.
CoRR, October, 2025

Fine-tuning Done Right in Model Editing.
CoRR, September, 2025

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.
CoRR, July, 2025

Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation.
CoRR, June, 2025

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
CoRR, May, 2025

The 1st Workshop on Human-Centered Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Indirect Online Preference Optimization via Reinforcement Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

The 1st Workshop on LLM Agents for Social Simulation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Low-Entropy Watermark Detection via Bayes' Rule Derived Detector.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2021
Attacks on medical data and centralized social platforms: PU learning and graphical inference
PhD thesis, 2021

Infer user preferences from aggregate measurements: A novel message passing algorithm for privacy attack.
Perform. Evaluation, 2021

2020
Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-Mean.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring.
Proceedings of the 2020 American Control Conference, 2020

2015
GreenMap: MapReduce with Ultra High Efficiency Power Delivery.
Proceedings of the 7th USENIX Workshop on Hot Topics in Cloud Computing, 2015

2013
Nonzero pattern analysis and memory access optimization in GPU-based sparse LU factorization for circuit simulation.
Proceedings of the 3rd Workshop on Irregular Applications - Architectures and Algorithms, 2013


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