Kaixiong Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
17
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Catastrophic Forgetting in Kolmogorov-Arnold Networks. | Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang |
| 2026 | DATE | Zion: A Comprehensive, Adaptive, and Lightweight Hardware Prefetcher. | Vadim Biryukov, Xiaoyang Lu, Zirui Liu, Kaixiong Zhou, Xian-He Sun |
| 2025 | ACL | Vision Language Model Helps Private Information De-Identification in Vision Data. | Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei |
| 2025 | ACL | Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges. | Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei |
| 2025 | ACL | The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. | Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen |
| 2025 | CVPR | Flexible Group Count Enables Hassle-Free Structured Pruning. | Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary |
| 2025 | ICLR | DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models. | Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou |
| 2025 | ICLR | MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. | Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu |
| 2025 | ICML | Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate. | Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang |
| 2025 | ICMLA | Gradient-based Model Shortcut Detection for Time Series Classification. | Salomon Ibarra, Frida Cantu, Kaixiong Zhou, Li Zhang |
| 2025 | NAACL | Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. | Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou |
| 2025 | SDM | Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness. | Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei |
| 2024 | ACL | PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. | Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang |
| 2024 | CIKM | COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification. | Jesus Barreda, Ashley Gomez, Ruben Puga, Kaixiong Zhou, Li Zhang |
| 2024 | CIKM | Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. | Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu |
| 2024 | CVPR | Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision. | Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang |
| 2024 | EMNLP | QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. | Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu |
| 2024 | EMNLP | Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion. | Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang |
| 2024 | EMNLP | Cross-Lingual Multi-Hop Knowledge Editing. | Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou |
| 2024 | ICLR | Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. | Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang |
| 2024 | ICML | Knowledge Graphs Can be Learned with Just Intersection Features. | Duy Le, Shaochen (Henry) Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu |
| 2024 | ICML | Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. | Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang |
| 2024 | ICML | TVE: Learning Meta-attribution for Transferable Vision Explainer. | Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu |
| 2024 | ICML | Soft Prompt Recovers Compressed LLMs, Transferably. | Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava |
| 2024 | ICML | GNNs Also Deserve Editing, and They Need It More Than Once. | Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu |
| 2024 | KDD | Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. | Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang |
| 2023 | CIKM | DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. | Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu |
| 2023 | ICML | RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. | Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu |
| 2023 | IJCAI | Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. | Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | RecSys | Hessian-aware Quantized Node Embeddings for Recommendation. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | SDM | Context-aware Domain Adaptation for Time Series Anomaly Detection. | Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu |
| 2023 | SDM | Adaptive Label Smoothing To Regularize Large-Scale Graph Training. | Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu |
| 2022 | AAAI | Orthogonal Graph Neural Networks. | Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang |
| 2022 | CIKM | AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. | Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang |
| 2022 | ICLR | An Information Fusion Approach to Learning with Instance-Dependent Label Noise. | Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu |
| 2022 | ICLR | EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. | Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu |
| 2022 | IJCAI | Table2Graph: Transforming Tabular Data to Unified Weighted Graph. | Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu |
| 2022 | KDD | GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks. | Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang |
| 2022 | RecSys | TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. | Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang |
| 2022 | SIGIR | Adversarial Graph Perturbations for Recommendations at Scale. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang |
| 2022 | SDM | Towards Similarity-Aware Time-Series Classification. | Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |
| 2021 | ICCV | DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. | Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu |
| 2021 | ICDE | AutoOD: Neural Architecture Search for Outlier Detection. | Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu |
| 2021 | SIGIR | Temporal Augmented Graph Neural Networks for Session-Based Recommendations. | Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang |
| 2020 | IJCAI | Multi-Channel Graph Neural Networks. | Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu |
| 2020 | KDD | Policy-GNN: Aggregation Optimization for Graph Neural Networks. | Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu |
| 2020 | SDM | Deep Neural Networks with Knowledge Instillation. | Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu |
| 2019 | IJCAI | Experience Replay Optimization. | Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |