Zhao Xu
18 papers · 2006–2026 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(8)
πΊοΈ
Taxonomy Completionist
(11)
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π§¬
Topic Evolution
π±
Topic Pioneer
π
Keyword Champion
π₯
Unstoppable
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(83)
β‘
Prolific Year
(5)
π
Century Club
(16)
π
Trend Setter
Conferences
NIPS (5)
ICML (4)
ACL (3)
ICCV (2)
CVPR (1)
EACL (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
large language model
(3)
graph neural network
(3)
self-supervised learning
(2)
knowledge graph completion
(2)
web agent
(2)
benchmark evaluation
(2)
multimodal large language model
(2)
relational learning
(1)
link prediction
(1)
representation learning
(1)
bayesian inference
(1)
gaussian processes
(1)
anomaly detection
(1)
visual question answering
(1)
online learning
(1)
stochastic gradient descent
(1)
attention mechanism
(1)
image generation
(1)
text-to-image synthesis
(1)
direct preference optimization
(1)
Papers
MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools
ACL 2026
MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents
ACL 2026
TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance
ICCV 2025
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
CVPR 2025
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs
ICCV 2025
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
ICML 2025
Parrot: Multilingual Visual Instruction Tuning
ICML 2025
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion
EACL 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting
NIPS 2024
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
NIPS 2024
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
NIPS 2024
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion
ACL 2024
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
ICML 2023
Self-Supervised Representation Learning via Latent Graph Prediction
ICML 2022
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
NIPS 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021
Stochastic Online Anomaly Analysis for Streaming Time Series
IJCAI 2017
Stochastic Relational Models for Discriminative Link Prediction
NIPS 2006