Du Su

Orcid: 0000-0002-6767-6019

According to our database1, Du Su authored at least 29 papers between 2013 and 2026.

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

2026
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood.
CoRR, April, 2026

PersonaAct: Simulating Short-Video Users with Personalized Agents for Counterfactual Filter Bubble Auditing.
CoRR, January, 2026

Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis.
CoRR, January, 2026

BaseCal: Unsupervised Confidence Calibration via Base Model Signals.
CoRR, January, 2026

The answer lies within: Detecting Trojans from DNNs' inherent characteristics.
Neural Networks, 2026

Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling.
Proceedings of the ACM Web Conference 2026, 2026

Rethinking Implicit Hate Speech Detection: Focusing on Latent Hate Components via Dual-Process Argumentation.
Proceedings of the ACM Web Conference 2026, 2026

AuditAgent: LLM Agent for Risks Auditing in Recommender Systems.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Report on the 1st Workshop on Human-Centered Recommender Systems (HCRS 2025) at TheWebConf 2025.
SIGIR Forum, December, 2025

The 2nd Workshop on Human-Centered Recommender Systems.
CoRR, November, 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

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

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

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 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

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Jailbreak LLMs through Internal Stance Manipulation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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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