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Sheng Zhou

26 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14)
πŸ—ΊοΈ Taxonomy Completionist (61) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (128) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (22)

Conferences

AAAI (10) NIPS (6) IJCAI (4) CVPR (2) COLING (1) ECCV (1) ICCV (1) ICML (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