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Xiao Zhou

34 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏆 Grand Slam 🗃️ Keyword Collector (166) Prolific Year (7) 💎 Century Club (29) 🔥 Unstoppable (5) The Questioner

Conferences

AAAI (10) CVPR (5) IJCAI (5) ACL (3) ICML (3) EMNLP (2) INTERSPEECH (2) ECCV (1) ICLR (1) MICCAI (1) NIPS (1)

Papers

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions AAAI 2026 Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation AAAI 2026 Spatio-Temporal Hierarchical Causal Models AAAI 2026 Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation ACL 2026 AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora ACL 2026 MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? ACL 2025 CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint) IJCAI 2025 Universal Features Guided Zero-Shot Category-Level Object Pose Estimation AAAI 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation AAAI 2025 FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation AAAI 2025 DEIM: DETR with Improved Matching for Fast Convergence CVPR 2025 AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels EMNLP 2025 RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining MICCAI 2025 Knowledge-enhanced Visual-Language Pretraining for Computational Pathology ECCV 2024 Leveraging Web-Crawled Data for High-Quality Fine-Tuning EMNLP 2024 MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning IJCAI 2024 Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation AAAI 2024 Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024 Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024 CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling IJCAI 2024 A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond ICLR 2023 Adaptive Sparse Pairwise Loss for Object Re-Identification CVPR 2023 Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature CVPR 2022 Sparse Invariant Risk Minimization ICML 2022 Probabilistic Bilevel Coreset Selection ICML 2022 Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022 Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 UnitNet-Based Hybrid Speech Synthesis INTERSPEECH 2021 Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021 Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB CVPR 2021 Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems IJCAI 2019 Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data IJCAI 2018 Learning and Modeling Unit Embeddings for Improving HMM-based Unit Selection Speech Synthesis INTERSPEECH 2018