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Zihao Guo

7 accepted papers

2026

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry

ICML 2026poster

Recent image generators produce photo-realistic content that undermines the reliability of downstream recognition systems. As visual appearance cues become less pronounced, appearance-driven detectors that rely on forensic cues or high-level representations lose stability. This motivates a shift fro…

Cited by 0SourceScholar
2026

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas

ICLR 2026poster

Sequential social dilemmas pose a significant challenge in the field of multi-agent reinforcement learning (MARL), requiring environments that accurately reflect the tension between individual and collective interests. Previous benchmarks and environments, such as Melting Pot, provide an evaluation…

Cited by 0SourcecodeScholar
2025

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation

NeurIPS 2025poster

Graph incremental learning (GIL), which continuously updates graph models by sequential knowledge acquisition, has garnered significant interest recently. However, existing GIL approaches focus on task-incremental and class-incremental scenarios within a single domain. Graph domain-incremental learn…

Cited by 0SourceScholar
2025

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts

AAAI 2025technical

Real-world graphs have inherently complex and diverse topological patterns, known as topological heterogeneity. Most existing works learn graph representation in a single constant curvature space that is insufficient to match the complex geometric shapes, resulting in low-quality embeddings with hig…

2025

The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games?

EMNLP 2025

Prior research indicates that although large language models (LLMs) can precisely articulate the theoretical probability distributions associated with optimal strategic choices, their actual decision-making systematically diverges from these prescriptions—a phenomenon we define as the cognition–beha

Cited by 0SourcePDFScholar
2025

Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving

ICLR 2025poster

Vehicle trajectory prediction is a crucial aspect of autonomous driving, which requires extensive trajectory data to train prediction models to understand the complex, varied, and unpredictable patterns of vehicular interactions. However, acquiring real-world data is expensive, so we advocate using…

2023

Content-Insensitive Dynamic Lip Feature Extraction for Visual Speaker Authentication Against Deepfake Attacks

ICASSP 2023accepted

Recent research has shown that lip-based speaker authentication system can achieve good authentication performance. However, with emerging deepfake technology, attackers can make high fidelity talking videos of a user, thus posing a great threat to these systems. Confronted with this threat, we prop…

Cited by 0SourceScholar