Sheng Zhou
27 papers · 2018–2026 · 8 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.
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Research topics
Machine Learning
(18)
Deep Learning
(16)
Architectures
(12)
Artificial Intelligence
(10)
Core AI
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Application Areas
(9)
Core Methods
(9)
Optimization & Theory
(6)
Computer Vision
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Learning Types Β· Machine Learning
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Models
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Natural Language Processing
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Domain-Specific
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Computer Science
(2)
Keywords
graph neural network
(8)
multimodal large language model
(4)
representation learning
(4)
node classification
(4)
benchmark evaluation
(3)
graphical user interface
(3)
link prediction
(3)
recommender system
(2)
image generation
(2)
graph domain adaptation
(2)
mixture of expert
(2)
distribution shift
(2)
transfer learning
(2)
contrastive learning
(2)
multimodal learning
(2)
knowledge distillation
(2)
video understanding
(2)
unsupervised domain adaptation
(2)
generative model
(2)
recommendation system
(2)
Papers
History-Aware Reasoning for GUI Agents
AAAI 2026
ProBench: Benchmarking GUI Agents with Accurate Process Information
AAAI 2026
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
CVPR 2026
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
AAAI 2026
UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
AAAI 2026
Advancing Loss Functions in Recommender Systems: A Comparative Study with a RΓ©nyi Divergence-Based Solution
AAAI 2025
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
IJCAI 2025
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering
CVPR 2025
M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models
IJCAI 2025
MP-GUI: Modality Perception with MLLMs for GUI Understanding
CVPR 2025
Towards a Unified Framework of Clustering-based Anomaly Detection
ICML 2025
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
AAAI 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation
NeurIPS 2024
MMAD:Multi-modal Movie Audio Description
COLING 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NeurIPS 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
NeurIPS 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
AAAI 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
NeurIPS 2024
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
NeurIPS 2023
Robust Sequence Networked Submodular Maximization
AAAI 2023
Hilbert Distillation for Cross-Dimensionality Networks
NeurIPS 2022
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition
ECCV 2022
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
IJCAI 2022
Distilling Holistic Knowledge With Graph Neural Networks
ICCV 2021
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
AAAI 2020
ANRL: Attributed Network Representation Learning via Deep Neural Networks
IJCAI 2018