Kaixiong Zhou - RankMe

128 papers A* 33A 11C 2Journal 65Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026	A*	`conf`	Catastrophic Forgetting in Kolmogorov-Arnold Networks. AAAI Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
2026	J	`jnl`	When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning. CoRR Wang Yang, Shouren Wang, Chaoda Song, Chuang Ma, Xinpeng Li, Nengbo Wang, Kaixiong Zhou, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	Aligning large language models and geometric deep models for protein representation. Patterns Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du
2025	J	`jnl`	Catastrophic Forgetting in Kolmogorov-Arnold Networks. CoRR Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
2025	J	`jnl`	Continually Evolved Multimodal Foundation Models for Cancer Prognosis. CoRR Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen
2025	A*	`conf`	DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models. ICLR Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou
2025	A*	`conf`	Flexible Group Count Enables Hassle-Free Structured Pruning. CVPR 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	C	`conf`	Gradient-based Model Shortcut Detection for Time Series Classification. ICMLA Salomon Ibarra, Frida Cantu, Kaixiong Zhou, Li Zhang
2025	J	`jnl`	Gradient-based Model Shortcut Detection for Time Series Classification. CoRR Salomon Ibarra, Frida Cantu, Kaixiong Zhou, Li Zhang
2025	J	`jnl`	Graph Neural Networks for Efficient AC Power Flow Prediction in Power Grids. CoRR Seyedamirhossein Talebi, Kaixiong Zhou
2025	J	`jnl`	LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models. CoRR Xi Zhu, Haochen Xue, Ziwei Zhao, Wujiang Xu, Jingyuan Huang, Minghao Guo, Qifan Wang, Kaixiong Zhou, Yongfeng Zhang
2025	—	`conf`	Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. NAACL (Long Papers) Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou
2025	J	`jnl`	Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. CoRR Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou
2025	A*	`conf`	MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. ICLR 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	J	`jnl`	PPBoost: Progressive Prompt Boosting for Text-Driven Medical Image Segmentation. CoRR Xuchen Li, Hengrui Gu, Mohan Zhang, Qin Liu, Zhen Tan, Xinyuan Zhu, Huixue Zhou, Tianlong Chen, Kaixiong Zhou
2025	A	`conf`	Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness. SDM Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025	A*	`conf`	Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate. ICML Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang
2025	—	`conf`	Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning. CPAL Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen
2025	—	`conf`	The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. ACL (1) 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	J	`jnl`	The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. CoRR Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas 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	—	`conf`	Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges. ACL (Findings) Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025	—	`conf`	Vision Language Model Helps Private Information De-Identification in Vision Data. ACL (Findings) Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025	—	`conf`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CPAL Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
2025	J	`jnl`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu
2024	J	`jnl`	Benchmark on Drug Target Interaction Modeling from a Structure Perspective. CoRR Xinnan Zhang, Jialin Wu, Junyi Xie, Tianlong Chen, Kaixiong Zhou
2024	A	`conf`	COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification. CIKM Jesus Barreda, Ashley Gomez, Ruben Puga, Kaixiong Zhou, Li Zhang
2024	J	`jnl`	COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification. CoRR Jesus Barreda, Ashley Gomez, Ruben Puga, Kaixiong Zhou, Li Zhang
2024	J	`jnl`	Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach. CoRR Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou
2024	—	`conf`	Cross-Lingual Multi-Hop Knowledge Editing. EMNLP (Findings) Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou
2024	A*	`conf`	Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. ICLR Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. CoRR Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Exploring the Alignment Landscape: LLMs and Geometric Deep Models in Protein Representation. CoRR Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du
2024	A*	`conf`	GNNs Also Deserve Editing, and They Need It More Than Once. ICML 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	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. CoRR Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen
2024	A*	`conf`	Knowledge Graphs Can be Learned with Just Intersection Features. ICML Duy Le, Shaochen (Henry) Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu
2024	A*	`conf`	Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision. CVPR Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang
2024	A*	`conf`	Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. KDD Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
2024	J	`jnl`	Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. CoRR Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
2024	—	`conf`	Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion. EMNLP (Findings) Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang
2024	J	`jnl`	Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion. CoRR Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang
2024	—	`conf`	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. ACL (1) Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
2024	J	`jnl`	Privacy-preserving Fine-tuning of Large Language Models through Flatness. CoRR Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024	J	`jnl`	ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction. CoRR Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang
2024	—	`conf`	QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. EMNLP (Findings) Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu
2024	A*	`conf`	Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. ICML Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. CoRR Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. CoRR Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024	A	`conf`	Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. CIKM Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024	A*	`conf`	Soft Prompt Recovers Compressed LLMs, Transferably. ICML Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2024	A*	`conf`	TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML 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	—	`conf`	Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou
2023	J	`jnl`	A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges. CoRR Xuansheng Wu, Kaixiong Zhou, Mingchen Sun, Xin Wang, Ninghao Liu
2023	A	`conf`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023	J	`jnl`	Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. SIGKDD Explor. Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2023	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2023	J	`jnl`	Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. CoRR Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2023	A	`conf`	Context-aware Domain Adaptation for Time Series Anomaly Detection. SDM Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	J	`jnl`	Context-aware Domain Adaptation for Time Series Anomaly Detection. CoRR Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	J	`jnl`	DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	A	`conf`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 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	J	`jnl`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR 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 Ben Hu
2023	—	`conf`	ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. ECML/PKDD (3) Yucheng Shi, Kaixiong Zhou, Ninghao Liu
2023	J	`jnl`	ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. CoRR Yucheng Shi, Kaixiong Zhou, Ninghao Liu
2023	J	`jnl`	Editable Graph Neural Network for Node Classifications. CoRR Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	A	`conf`	Hessian-aware Quantized Node Embeddings for Recommendation. RecSys Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	Hessian-aware Quantized Node Embeddings for Recommendation. CoRR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	J	`jnl`	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. CoRR Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
2023	A*	`conf`	Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023	A*	`conf`	RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2023	A*	`conf`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
2023	J	`jnl`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
2022	A*	`conf`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	A	`conf`	AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. CIKM Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang
2022	J	`jnl`	Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. CoRR Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2022	A*	`conf`	Adversarial Graph Perturbations for Recommendations at Scale. SIGIR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
2022	A*	`conf`	An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	J	`jnl`	Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
2022	—	`conf`	AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks. AutoML Duc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2022	J	`jnl`	Differentially Private Counterfactuals via Functional Mechanism. CoRR Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu
2022	A*	`conf`	EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
2022	A*	`conf`	GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks. KDD Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang
2022	J	`jnl`	MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning. CoRR Cameron Diao, Kaixiong Zhou, Xiao Huang, Xia Hu
2022	A*	`conf`	Orthogonal Graph Neural Networks. AAAI Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2022	J	`jnl`	QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. CoRR Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu
2022	J	`jnl`	RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2022	A*	`conf`	Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2022	A	`conf`	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022	J	`jnl`	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022	A	`conf`	Towards Similarity-Aware Time-Series Classification. SDM Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2022	J	`jnl`	Towards Similarity-Aware Time-Series Classification. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021	J	`jnl`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	A*	`conf`	AutoOD: Neural Architecture Search for Outlier Detection. ICDE Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2021	J	`jnl`	CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
2021	A*	`conf`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	J	`jnl`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	A*	`conf`	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. ICCV Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
2021	J	`jnl`	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. CoRR Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
2021	J	`jnl`	Orthogonal Graph Neural Networks. CoRR Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2021	J	`jnl`	Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021	A*	`conf`	Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang
2020	J	`jnl`	AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2020	A	`conf`	Deep Neural Networks with Knowledge Instillation. SDM Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
2020	A*	`conf`	Detecting Interactions from Neural Networks via Topological Analysis. NeurIPS Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2020	A*	`conf`	Multi-Channel Graph Neural Networks. IJCAI Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020	A*	`conf`	Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020	J	`jnl`	Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020	A*	`conf`	Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020	J	`jnl`	Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020	J	`jnl`	Towards Interaction Detection Using Topological Analysis on Neural Networks. CoRR Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2019	J	`jnl`	Auto-GNN: Neural Architecture Search of Graph Neural Networks. CoRR Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
2019	A*	`conf`	Experience Replay Optimization. IJCAI Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019	J	`jnl`	Experience Replay Optimization. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019	J	`jnl`	Multi-Channel Graph Convolutional Networks. CoRR Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2017	—	`conf`	Design and demonstration of an indoor visible light communication network with dynamic user access and resource allocation. WCSP Mian Zeng, Kaixiong Zhou, Chen Gong, Shun Lou, Xianqing Jin, Zhengyuan Xu
2017	—	`conf`	Design and implementation of a novel 100G optical interface protocol converter. WCSP Kaixiong Zhou, Xin Huang, Chao Xiang Shi, Jian Xin Chang, Meng Gao
2017	J	`jnl`	Distributed Channel Allocation and Rate Control for Hybrid FSO/RF Vehicular Ad Hoc Networks. JOCN Kaixiong Zhou, Chen Gong, Nan Wu, Zhengyuan Xu
2017	—	`conf`	Transmissions and Network Management of Multiple 100 GB/s Based on Stacking Technology. ChinaCom (2) Xin Huang, Kaixiong Zhou, Chao Xiang Shi, Jian Xin Chang, Meng Gao
2016	—	`conf`	Inter-cell interference coordination for multi-color visible light communication networks. GlobalSIP Kaixiong Zhou, Chen Gong, Qian Gao, Zhengyuan Xu
2015	C	`conf`	Enhanced effective SNR prediction for LTE downlink. ICCC Kaixiong Zhou, Lin Zhang, Ming Jiang