Shuang Yang

16 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)

🌍 Conference Polyglot (8) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🧬 Topic Evolution 🗃️ Keyword Collector (81) 💎 Century Club (16) 🔥 Unstoppable (6) 📈 Trend Setter 🚀 Conference Pioneer

Conferences

CVPR (4) ICCV (3) AISTATS (2) ICML (2) NIPS (2) ICLR (1) IJCAI (1) WACV (1)

Top co-authors

Bo Li (4) Huichen Li (3) Xilin Chen (3) Xiaolu Zhang (3) Shiguang Shan (3) Jun Zhou (2) Jiawei Zhang (2) Weiming Hu (2) Linyi Li (2) chunfeng yuan (2)

Keywords

query efficiency (3) adversarial attack (3) multimodal learning (3) blackbox attack (3) action recognition (2) gibbs sampling (2) graph neural network (2) combinatorial optimization (2) multi-task learning (2) neural network (2) reinforcement learning (2) lip reading (2) gradient estimation (2) boundary attack (2) multi-modal learning (1) face recognition (1) bayesian inference (1) cross-modal learning (1) representation learning (1) speech recognition (1)

Papers

Global-Guided Focal Neural Radiance Field for Large-Scale Scene Rendering WACV 2025 UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning ICML 2025 CogCM: Cognition-Inspired Contextual Modeling for Audio-Visual Speech Enhancement ICCV 2025 Not Only Vision: Evolve Visual Speech Recognition via Peripheral Information ICCV 2025 ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations CVPR 2024 Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map ICCV 2023 Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NIPS 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 A Learning-based Iterative Method for Solving Vehicle Routing Problems ICLR 2020 Bandit Samplers for Training Graph Neural Networks NIPS 2020 QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013