Sheng Zhou
26 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(61)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(128)
π₯
Unstoppable
(6)
π
Century Club
(22)
Conferences
AAAI (10)
NIPS (6)
IJCAI (4)
CVPR (2)
COLING (1)
ECCV (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
graph neural network
(8)
node classification
(4)
multimodal large language model
(4)
benchmark evaluation
(3)
graphical user interface
(3)
representation learning
(3)
link prediction
(3)
transfer learning
(2)
graph domain adaptation
(2)
recommender system
(2)
mixture of expert
(2)
distribution shift
(2)
multimodal learning
(2)
contrastive learning
(2)
knowledge distillation
(2)
video understanding
(2)
generative model
(2)
unsupervised domain adaptation
(2)
recommendation system
(2)
domain adaptation
(1)
Papers
UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
AAAI 2026
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
AAAI 2026
History-Aware Reasoning for GUI Agents
AAAI 2026
ProBench: Benchmarking GUI Agents with Accurate Process Information
AAAI 2026
MP-GUI: Modality Perception with MLLMs for GUI Understanding
CVPR 2025
Advancing Loss Functions in Recommender Systems: A Comparative Study with a RΓ©nyi Divergence-Based Solution
AAAI 2025
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering
CVPR 2025
Towards a Unified Framework of Clustering-based Anomaly Detection
ICML 2025
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
IJCAI 2025
M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models
IJCAI 2025
Rethinking Propagation for Unsupervised Graph Domain Adaptation
AAAI 2024
MMAD:Multi-modal Movie Audio Description
COLING 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
NIPS 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NIPS 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation
NIPS 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
NIPS 2024
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
AAAI 2024
Robust Sequence Networked Submodular Maximization
AAAI 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
NIPS 2023
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
Hilbert Distillation for Cross-Dimensionality Networks
NIPS 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