Xiao Lin

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

Achievements

+10 more ↓

🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (10) 👥 Mega-Team (37) 🏆 Grand Slam 🗃️ Keyword Collector (100) 💎 Century Club (18) 🔥 Unstoppable (5) 📈 Trend Setter ⚡ Prolific Year (5)

Conferences

ICCV (4) CVPR (3) ICML (3) ICLR (2) NIPS (2) AAAI (1) ACL (1) EACL (1) EMNLP (1) IJCNLP (1) NAACL (1)

Top co-authors

Ajay Divakaran (4) Hanghang Tong (4) Ruizhong Qiu (3) Tianxin Wei (3) Susmit Jha (3) Karan Sikka (3) Zhining Liu (3) Jingrui He (3) Julia Kruk (2) Yada Zhu (2)

Keywords

multimodal learning (4) visual abstraction (2) deep multimodal classifier (2) deep learning (2) visual question answering (2) empirical risk minimization (2) intent detection (2) domain adaptation (1) transfer learning (1) image classification (1) scene understanding (1) backdoor defense (1) video recognition (1) knowledge distillation (1) logistic regression (1) domain generalization (1) semantic analysis (1) image captioning (1) confidence calibration (1) text classification (1)

Papers

Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026 Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents ACL 2026 CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation ICCV 2025 UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition ICLR 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation CVPR 2024 MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer NIPS 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NIPS 2024 Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024 PyPose: A Library for Robot Learning With Physics-Based Optimization CVPR 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models ICCV 2023 Trigger Hunting with a Topological Prior for Trojan Detection ICLR 2022 Confidence Calibration for Domain Generalization Under Covariate Shift ICCV 2021 Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts IJCNLP 2019 Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts EMNLP 2019 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 Learning Common Sense Through Visual Abstraction ICCV 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks CVPR 2015