Dung Nguyen
24 papers · 2020–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
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(10)
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Deep Learning
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Mathematics & Optimization
(5)
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(5)
Natural Language Processing
(4)
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(4)
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(4)
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(4)
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differential privacy
(5)
reinforcement learning
(4)
theory of mind
(3)
multi-agent system
(3)
stochastic block model
(2)
episodic memory
(2)
large language model
(2)
approximation algorithm
(2)
community detection
(2)
policy gradient
(2)
reinforcement learning from human feedback
(2)
cooperative behavior
(2)
preference learning
(1)
object detection
(1)
policy optimization
(1)
face detection
(1)
hyperparameter optimization
(1)
adversarial robustness
(1)
contrastive learning
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autonomous driving
(1)
Papers
Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning
AAAI 2026
WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis
EACL 2026
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering
IJCAI 2025
Multi-Reference Preference Optimization for Large Language Models
AAAI 2025
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
IJCAI 2025
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
ICLR 2025
Computing epidemic metrics with edge differential privacy
AISTATS 2024
Contrastive Viewpoint-Aware Shape Learning for Long-Term Person Re-Identification
WACV 2024
Differentially private exact recovery for stochastic block models
ICML 2024
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
IJCAI 2024
Differentially Private Partial Set Cover with Applications to Facility Location
IJCAI 2023
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
WACV 2023
Faster approximate subgraph counts with privacy
NeurIPS 2023
Memory-Augmented Theory of Mind Network
AAAI 2023
PP4AV: A Benchmarking Dataset for Privacy-Preserving Autonomous Driving
WACV 2023
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
IJCAI 2023
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
EMNLP 2023
Differentially Private Community Detection for Stochastic Block Models
ICML 2022
Episodic Policy Gradient Training
AAAI 2022
Learning to Constrain Policy Optimization with Virtual Trust Region
NeurIPS 2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
NeurIPS 2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
ECCV 2022
Differentially Private Densest Subgraph Detection
ICML 2021
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
ACML 2020