Kaixiong Zhou

Catastrophic Forgetting in Kolmogorov-Arnold Networks AAAI 2026 DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models ICLR 2025 Flexible Group Count Enables Hassle-Free Structured Pruning CVPR 2025 Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense NAACL 2025 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations ICLR 2025 Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate ICML 2025 The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Vision Language Model Helps Private Information De-Identification in Vision Data ACL 2025 Cross-Lingual Multi-Hop Knowledge Editing EMNLP 2024 Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models ICLR 2024 GNNs Also Deserve Editing, and They Need It More Than Once ICML 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 Knowledge Graphs Can be Learned with Just Intersection Features ICML 2024 Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision CVPR 2024 Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion EMNLP 2024 PokeMQA: Programmable knowledge editing for Multi-hop Question Answering ACL 2024 QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware EMNLP 2024 Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 2024 Soft Prompt Recovers Compressed LLMs, Transferably ICML 2024 TVE: Learning Meta-attribution for Transferable Vision Explainer ICML 2024 Probabilistic Masked Attention Networks for Explainable Sequential Recommendation IJCAI 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NeurIPS 2023 A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NeurIPS 2022 An Information Fusion Approach to Learning with Instance-Dependent Label Noise ICLR 2022 AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks AutoML 2022 EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression ICLR 2022 Orthogonal Graph Neural Networks AAAI 2022 Table2Graph: Transforming Tabular Data to Unified Weighted Graph IJCAI 2022 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NeurIPS 2021 DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021 Detecting Interactions from Neural Networks via Topological Analysis NeurIPS 2020 Multi-Channel Graph Neural Networks IJCAI 2020 Towards Deeper Graph Neural Networks with Differentiable Group Normalization NeurIPS 2020 Experience Replay Optimization IJCAI 2019