Xiyang Hu
14 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (7)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(6)
🗃️
Keyword Collector
(57)
💎
Century Club
(10)
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
Conferences
ACL (4)
NIPS (4)
AAAI (1)
AACL (1)
EMNLP (1)
ICCV (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
anomaly detection
(8)
large language model
(4)
graph neural network
(2)
code generation
(2)
text classification
(2)
zero-shot learning
(2)
unsupervised learning
(2)
pipeline automation
(2)
multi-agent system
(2)
contrastive learning
(1)
causal reasoning
(1)
representation learning
(1)
natural language processing
(1)
model compression
(1)
binary classification
(1)
content moderation
(1)
model selection
(1)
parallel corpus
(1)
information retrieval
(1)
benchmark evaluation
(1)
Papers
Mitigating Hallucinations in Large Language Models via Causal Reasoning
AAAI 2026
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
ACL 2026
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
ACL 2026
Secure On-Device Video OOD Detection Without Backpropagation
ICCV 2025
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025
NLP-ADBench: NLP Anomaly Detection Benchmark
EMNLP 2025
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
IJCNLP 2025
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
AACL 2025
PyGOD: A Python Library for Graph Outlier Detection
JMLR 2024
Language Agnostic Multilingual Information Retrieval with Contrastive Learning
ACL 2023
ADGym: Design Choices for Deep Anomaly Detection
NIPS 2023
ADBench: Anomaly Detection Benchmark
NIPS 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NIPS 2022
Optimal Sparse Decision Trees
NIPS 2019