Jiayu Zhou

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