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Peng Yang

24 papers · 2016–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (13) πŸŒ‰ Interdisciplinary Bridge
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (57) 🧭 Keyword Pioneer 🀝 Dynamic Duo (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (115)

Conferences

AAAI (8) EMNLP (3) CVPR (2) NIPS (2) AISTATS (1) COLING (1) CONLL (1) ECCV (1) ICCV (1) IJCAI (1) INTERSPEECH (1) MICCAI (1) WACV (1)

Top co-authors

Ping Li (10) Xin Gao (4) Peilin Zhao (3) Yingjie Lao (3) Khoa D. Doan (2) Dingcheng Li (2) Ling Shao (2) Ke Tang (2) Shizhong Liao (2) Lizhong Ding (2)

Research topics

Privacy (1) Statistics (1)

Keywords

online learning (3) catastrophic forgetting (2) mixture of expert (2) backdoor attack (2) continual learning (2) text generation (2) intellectual property (2) deep neural network (2) adversarial learning (2) regret bound (2) few-shot learning (1) adversarial robustness (1) multi-task learning (1) contrastive learning (1) stochastic optimization (1) vision transformer (1) graph learning (1) sequence modeling (1) graph classification (1) image retrieval (1)

Papers

SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026 Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures MICCAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025 Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions CVPR 2023 One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching CVPR 2022 DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding AAAI 2022 Table-based Fact Verification with Self-labeled Keypoint Alignment COLING 2022 Continual Learning for Natural Language Generations with Transformer Calibration CONLL 2022 TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning ECCV 2022 Keyphrase Generation via Soft and Hard Semantic Corrections EMNLP 2022 Continual Learning for Natural Language Generations with Transformer Calibration EMNLP 2022 Calibrating CNNs for Few-Shot Meta Learning WACV 2022 Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021 Mitigating Forgetting in Online Continual Learning with Neuron Calibration NIPS 2021 Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020 Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020 CAM: Uninteresting Speech Detector INTERSPEECH 2020 Optimal Stochastic and Online Learning with Individual Iterates NIPS 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Confidence Weighted Multitask Learning AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data EMNLP 2016