Xiao Fu

27 papers · 2015–2026 · 11 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🏃 Academic Marathon (10) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 📈 Trend Setter ⚡ Prolific Year (5) 💎 Century Club (26) 🗃️ Keyword Collector (90) 🔥 Unstoppable (5)

Conferences

ICML (8) ICLR (5) NIPS (5) AAAI (2) ACL (1) CVPR (1) ECCV (1) EMNLP (1) ICCV (1) IJCAI (1) INTERSPEECH (1)

Top co-authors

Shahana Ibrahim (6) Kejun Huang (5) Sagar Shrestha (4) Dahua Lin (3) Qi Lyu (3) Tri Nguyen (3) Eugene Seo (2) Jizhong Zhao (2) Wei Xi (2) Di Zhang (2)

Keywords

independent component analysis (2) matrix factorization (2) neural network (2) multimodal learning (2) representation learning (2) latent variable (2) dawid-skene model (2) large language model (2) pairwise co-occurrence (2) transfer learning (1) video generation (1) k-means clustering (1) model robustness (1) noisy label learning (1) blind source separation (1) contrastive learning (1) graph clustering (1) expectation maximization (1) probabilistic modeling (1) topic modeling (1)

Papers

CHASE: Contextual History for Adaptive and Simple Exploitation in Large Language Model Jailbreaking AAAI 2026 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation ICLR 2025 Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning IJCAI 2025 Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions ICLR 2025 ReCamMaster: Camera-Controlled Generative Rendering from A Single Video ICCV 2025 Diversified Flow Matching with Translation Identifiability ICML 2025 Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach ICLR 2024 Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom NIPS 2024 Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures NIPS 2024 Transparent and Scrutable Recommendations Using Natural Language User Profiles ACL 2024 GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image ECCV 2024 Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach ICML 2023 Under-Counted Tensor Completion with Neural Incorporation of Attributes ICML 2023 Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition INTERSPEECH 2023 Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization ICLR 2023 OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation CVPR 2023 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022 Provable Subspace Identification Under Post-Nonlinear Mixtures NIPS 2022 Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective ICLR 2022 Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization ICML 2021 StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling AAAI 2021 Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms NIPS 2019 Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm ICML 2019 Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling ICML 2018 Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering ICML 2017 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NIPS 2016 Translation Invariant Word Embeddings EMNLP 2015