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Kangyang Luo

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting
2023 · Kangyang Luo, Xiang Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 54
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Document Segmentation Matters for Retrieval-Augmented Generation
2025 · Zhitong Wang, Cheng Gao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 19
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DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
2023 · Kangyang Luo, Shuai Wang, et al. · neural information processing systems · 14
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An Improved SVM-RFE Based on $F$ -Statistic and mPDC for Gene Selection in Cancer Classification
2019 · Kangyang Luo, Guoqiang Wang, et al. · IEEE Access · 14
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Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
2024 · Jianxiang Yu, Zichen Ding, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 9
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Consistent Assistant Domains Transformer for Source-Free Domain Adaptation
2025 · Renrong Shao, Wei Zhang, et al. · IEEE Transactions on Image Processing · 6
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Enhancing high-dimensional dynamic conditional angular correlation model based on GARCH family models: Comparative performance analysis for portfolio optimization
2025 · Zhangshuang Sun, Xuerui Gao, et al. · Finance research letters · 5
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
2025 · Kangyang Luo, Yuzhuo Bai, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 5
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DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
2024 · Kangyang Luo, Shuai Wang, et al. · Proceedings · 4
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Nonlinear Combinational Dynamic Transmission Rate Model and Its Application in Global COVID-19 Epidemic Prediction and Analysis
2021 · Xiaojin Xie, Kangyang Luo, et al. · Mathematics · 4
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Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering
2025 · Si, Shuzheng, Zhao, Haozhe, et al. · arXiv (Cornell University) · 3
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Production Frontier Estimation via Additive Regression Splines and Relaxed Support Vector Regression
2025 · Yuting Zhou, Qian Li, et al. · Asia Pacific Journal of Operational Research · 2
SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models
2024 · Zhao, Shujuan, Qiao, Lingfeng, et al. · arXiv (Cornell University) · 2
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Let’s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
2025 · Kangyang Luo, Zichen Ding, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering
2025 · Shuzheng Si, Haozhe Zhao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization
2023 · Kangyang Luo, Kunkun Zhang, et al. · Frontiers in artificial intelligence and applications · 1
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A generalization of IPMs for linear optimization to convex quadratic SDO based on a trigonometric kernel function
2018 · Pengyang Xie, Kangyang Luo, et al. · Journal of Physics Conference Series · 1
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ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement
2026 · Association for Computational Linguistics 2026, Bai, Yuzhuo, et al. · Underline Science Inc.
A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task
2026 · Association for Computational Linguistics 2026, Chang, Baobao, et al. · Underline Science Inc.
From Context to Skills: Can Language Models Learn from Context Skillfully?
2026 · Si, Shuzheng, Zhao, Haozhe, et al. · arXiv (Cornell University)
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Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents
2026 · Wu, Jiayi, Xie, Ruobing, et al. · arXiv (Cornell University)
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KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning
2026 · Gao, Cheng, Huang, Cheng, et al. · arXiv (Cornell University)
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Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
2026 · Shuzheng Si, Haozhe Zhao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
Mitigating OOD overoptimism via in-sample value function in offline reinforcement learning
2026 · Wenhui Liu, Kangyang Luo, et al. · Neural Networks
RankUplift: Ranking-Aware Two-Stage Learning for Optimal Targeted Interventions
2026 · Kangyang Luo, Huanhuan Chen · International Symposium on Computational and Business Intelligence (ISCBI)
Works count: 53
Citation count: 149
H-index: 6
I10-index: 4
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