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← Authors

Jiayu Zhou

40 papers · 2011–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (15) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11)
🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (15) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (177) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (39) πŸ”₯ Unstoppable (9)

Conferences

AAAI (10) NIPS (8) ICLR (5) IJCAI (5) ICML (4) ACL (2) INTERSPEECH (2) AISTATS (1) CVPR (1) EMNLP (1) NAACL (1)

Top co-authors

Junyuan Hong (13) Zhangyang Wang (7) Haotao Wang (6) Kaixiang Lin (4) Shuyang Yu (4) Jieping Ye (4) Zhuangdi Zhu (4) Pang-Ning Tan (3) Boyang Liu (3) Haobo Zhang (3)

Research topics

Differential Privacy (1)

Keywords

deep neural network (5) knowledge distillation (4) distributed learning (3) federated learning (3) reinforcement learning (3) label noise (2) deep learning (2) sparse regression (2) sparse representation (2) in-context learning (2) convex optimization (2) multi-task learning (2) adversarial robustness (2) representation learning (2) risk management (2) transfer learning (2) model compression (2) anomaly detection (2) imitation learning (2) feature selection (2)

Papers

Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills AAAI 2026 Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysis IJCAI 2025 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 Dual Debiasing for Noisy In-Context Learning for Text Generation ACL 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 On the Generalization Ability of Unsupervised Pretraining AISTATS 2024 Safe and Robust Watermark Injection with a Single OoD Image ICLR 2024 Translingual Language Markers for Cognitive Assessment from Spontaneous Speech INTERSPEECH 2024 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection ICLR 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers ICML 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions NIPS 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation ICLR 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations AAAI 2022 Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling NIPS 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization ICLR 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork NIPS 2022 Dynamic Augmentation Data Selection for Few-shot Text Classification EMNLP 2022 Unsupervised Anomaly Detection by Robust Density Estimation AAAI 2022 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection IJCAI 2021 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021 Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only INTERSPEECH 2021 Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract) AAAI 2020 Ranking Policy Gradient ICLR 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms AAAI 2020 Off-Policy Imitation Learning from Observations NIPS 2020 Confidence Weighted Multitask Learning AAAI 2019 Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders IJCAI 2018 Boosted Sparse and Low-Rank Tensor Regression NIPS 2018 Missing Modalities Imputation via Cascaded Residual Autoencoder CVPR 2017 Doubly Sparsifying Network IJCAI 2017 A Space Alignment Method for Cold-Start TV Show Recommendations IJCAI 2015 A Safe Screening Rule for Sparse Logistic Regression NIPS 2014 Lasso Screening Rules via Dual Polytope Projection NIPS 2013 Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011