Xu Guo

19 papers · 2019–2026 · 10 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.

Achievements

Jump to papers ↓

+4 more ↓

🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (60) 🌍 Conference Polyglot · Gold 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint

⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (98)

Venues

EMNLP (5) CVPR (3) AAAI (2) ACL (2) NeurIPS (2) ICCV (1) IJCAI (1) JMLR (1) MICCAI (1) NAACL (1)

Top co-authors

Chunyan Miao (5) Zhiwei Zeng (4) Han Yu (3) Yuhong Feng (2) Chen Chen (2) Haonan Lu (2) Zhen Cui (2) Yige Xu (2) Qirong Peng (2) Xiaoqi Qiu (2)

Research topics

Machine Learning (16) Artificial Intelligence (10) Core AI (9) Learning Types · Machine Learning (9) Deep Learning (8) Application Areas (6) Learning Types · Deep Learning (6) Computer Vision (5) Natural Language Processing (4) Analysis (4) Optimization & Theory (4) Core Methods (3) Learning Paradigms (3) Models (3) Applications (2)

Keywords

contrastive learning (4) large language model (3) diffusion model (3) representation learning (3) object detection (2) transfer learning (2) domain adaptation (2) chain-of-thought reasoning (2) language model (2) few-shot learning (1) natural language processing (1) ensemble learning (1) text classification (1) semi-supervised learning (1) anomaly detection (1) adversarial learning (1) cross-lingual transfer (1) knowledge distillation (1) self-supervised learning (1) prototype learning (1)

Papers

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR CVPR 2026 From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking CVPR 2026 Kernel-based Distributed Learning JMLR 2026 X2Edit: Revisiting Arbitrary-Instruction Image Editing Through Self-Constructed Data and Task-Aware Representation Learning AAAI 2026 Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025 Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection AAAI 2025 Regression-assisted Classification for CT-based Portal Hypertension Diagnosis MICCAI 2025 Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency EMNLP 2025 SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs ACL 2025 X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation ICCV 2025 A Survey on Natural Language Counterfactual Generation EMNLP 2024 Breaking Semantic Artifacts for Generalized AI-generated Image Detection NeurIPS 2024 PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024 RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference EMNLP 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer EMNLP 2023 Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation EMNLP 2022 Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection NAACL 2021 Agent-based Decision Support for Pain Management in Primary Care Settings IJCAI 2019