← Authors

Jiayu Zhou

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

Achievements

🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (14) 🐝 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