Xiao Zhou
34 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🌍 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)
Top co-authors
Keywords
graph neural network
(5)
large language model
(3)
collaborative filtering
(2)
neural network
(2)
bilevel optimization
(2)
causal inference
(2)
human mobility
(2)
zero-shot learning
(2)
metric learning
(2)
representation learning
(2)
contrastive learning
(2)
multi-modal learning
(2)
domain adaptation
(2)
model compression
(2)
urban planning
(2)
pose estimation
(1)
transfer learning
(1)
domain generalization
(1)
continual learning
(1)
embedding learning
(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