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Xiangyu Wang

27 papers · 2012–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸƒ Academic Marathon (13) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (43) πŸ† Grand Slam πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (103) πŸ“ˆ Trend Setter ⚑ Prolific Year (8)

Conferences

NIPS (6) AAAI (3) ACL (3) ICML (3) IJCAI (3) ACML (1) AISTATS (1) COLING (1) CVPR (1) ICCV (1) ICLR (1) IJCNLP (1) JMLR (1) SEMEVAL (1)

Papers

RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images AAAI 2026 HSGraphAgent: Knowledge-Graph-Guided Large Language Models for Harmonized System Code Classification ACL 2026 Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026 Counterfactual-Driven Zero-Shot Classifier Expansion AAAI 2026 Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology ICLR 2025 gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label Classification ACL 2025 Continuous Structure Constraint Integration for Robust Causal Discovery AISTATS 2025 Differentiable Structure Learning with Ancestral Constraints ICML 2025 Expanding the Category of Classifiers with LLM Supervision IJCAI 2025 Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space IJCAI 2025 Fault Diagnosis in REDNet Model Space IJCAI 2025 gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label Classification SEMEVAL 2025 Constructing a Knowledge-Guided Mental Health Chatbot with LLMs ACML 2024 Differentiable Structure Learning with Partial Orders NIPS 2024 Confidence-aware Contrastive Learning for Selective Classification ICML 2024 Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields ICCV 2023 Distributed Representations of Emotion Categories in Emotion Space IJCNLP 2021 Distributed Representations of Emotion Categories in Emotion Space ACL 2021 A Direct Approach for Sparse Quadratic Discriminant Analysis JMLR 2018 Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NIPS 2016 No penalty no tears: Least squares in high-dimensional linear models ICML 2016 DECOrrelated feature space partitioning for distributed sparse regression NIPS 2016 Protecting Against Screenshots: An Image Processing Approach CVPR 2015 Parallelizing MCMC with Random Partition Trees NIPS 2015 On the consistency theory of high dimensional variable screening NIPS 2015 Median Selection Subset Aggregation for Parallel Inference NIPS 2014 A Semi-Supervised Bayesian Network Model for Microblog Topic Classification COLING 2012