Yiyang Zhou

According to our database, Yiyang Zhou authored at least 70 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models.

Yiming Liang, Yixiao Chen, Yiyang Zhou, Yixuan Wang, Shoubin Yu, Andong Deng, Fuxiao Liu, Qin Zhang, Chen Chen, Mohit Bansal, Huaxiu Yao

CoRR, May, 2026

VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation.

Qijun Han, Haoqin Tu, Zijun Wang, Haoyue Dai, Yiyang Zhou, Nancy Lau, Alvaro A. Cárdenas, Yuhui Xu, Ran Xu, Caiming Xiong, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie

CoRR, April, 2026

Target-Oriented Pretraining Data Selection via Neuron-Activated Graph.

Zijun Wang, Haoqin Tu, Weidong Zhou, Yiyang Zhou, Xiaohuan Zhou, Bingni Zhang, Weiguo Feng, Taifeng Wang, Cihang Xie, Fengze Liu

CoRR, April, 2026

ClawArena: Benchmarking AI Agents in Evolving Information Environments.

Haonian Ji, Kaiwen Xiong, Siwei Han, Peng Xia, Shi Qiu, Yiyang Zhou, Jiaqi Liu, Jinlong Li, Bingzhou Li, Zeyu Zheng, Cihang Xie, Huaxiu Yao

CoRR, April, 2026

SimpleOCR: Rendering Visualized Questions to Teach MLLMs to Read.

Yibo Peng, Peng Xia, Ding Zhong, Kaide Zeng, Siwei Han, Yiyang Zhou, Jiaqi Liu, Rui Zhang, Huaxiu Yao

CoRR, February, 2026

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

Peng Xia, Jianwen Chen, Hanyang Wang, Jiaqi Liu, Kaide Zeng, Yu Wang, Siwei Han, Yiyang Zhou, Xujiang Zhao, Haifeng Chen, Zeyu Zheng, Cihang Xie, Huaxiu Yao

CoRR, February, 2026

Reliable and Responsible Foundation Models: A Comprehensive Survey.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

CoRR, February, 2026

Structural variation drives enhancer hijacking via 3D genome disruption in ccRCC.

Yu Dong, Wenjiao Xia, Zitong Yang, Liangliang Ren, Hongru Wang, Yiyang Zhou, Qinchen Li, Zhi Chen, Zhinan Xia, Yichun Zheng, Feifan Wang, Ning He, Bing Cheng, Dongmei Ma, Wei Shao, Wei Guo, Shuwen Wang, Ziqiao Liu, Junxiao Shen, Yiming Qi, Xuke Gong, Juan Jin, Bo Xie, Guixin Zhu, Cheng Zhang

npj Digit. Medicine, 2026

LSE-Codec: An Arbitrary Frame-Rate Compliant Lossless Compression Model for Neuromorphic Spike Camera.

Fanke Dong, Yiyang Zhou, Chuanmin Jia

Proceedings of the Data Compression Conference, 2026

2025

Knowing the Answer Isn't Enough: Fixing Reasoning Path Failures in LVLMs.

Chaoyang Wang, Yangfan He, Yiyang Zhou, Yixuan Wang, Jiaqi Liu, Peng Xia, Zhengzhong Tu, Mohit Bansal, Huaxiu Yao

CoRR, December, 2025

Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning.

Jiaqi Liu, Kaiwen Xiong, Peng Xia, Yiyang Zhou, Haonian Ji, Lu Feng, Siwei Han, Mingyu Ding, Huaxiu Yao

CoRR, November, 2025

Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning.

Peng Xia, Kaide Zeng, Jiaqi Liu, Can Qin, Fang Wu, Yiyang Zhou, Caiming Xiong, Huaxiu Yao

CoRR, November, 2025

When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought.

Yiyang Zhou, Haoqin Tu, Zijun Wang, Zeyu Wang, Niklas Muennighoff, Fan Nie, Yejin Choi, James Zou, Chaorui Deng, Shen Yan, Haoqi Fan, Cihang Xie, Huaxiu Yao, Qinghao Ye

CoRR, November, 2025

Neighbor-Based Completion for Addressing Incomplete Multiview Clustering.

Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Jinqian Chen, Haozhe Cheng, Kun Yue, Qinghai Zheng

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery.

Jiaqi Liu, Songning Lai, Pengze Li, Di Yu, Wenjie Zhou, Yiyang Zhou, Peng Xia, Zijun Wang, Xi Chen, Shixiang Tang, Lei Bai, Wanli Ouyang, Mingyu Ding, Huaxiu Yao, Aoran Wang

CoRR, August, 2025

IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models.

Jiabing Yang, Chenhang Cui, Yiyang Zhou, Yixiang Chen, Peng Xia, Ying Wei, Tao Yu, Yan Huang, Liang Wang

CoRR, August, 2025

MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation.

Haibo Tong, Zhaoyang Wang, Zhaorun Chen, Haonian Ji, Shi Qiu, Siwei Han, Kexin Geng, Zhongkai Xue, Yiyang Zhou, Peng Xia, Mingyu Ding, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, February, 2025

Reliable and Responsible Foundation Models.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

Trans. Mach. Learn. Res., 2025

Improving UI responsiveness in Android by restructured rendering.

Mingsong Lv, Tao Hu, Menglong Cui, Tao Yang, Yiyang Zhou, Qingxu Deng, Nan Guan

J. Syst. Archit., 2025

Label distribution-driven multi-view representation learning.

Wenbiao Yan, Minghong Wu, Yiyang Zhou, Qinghai Zheng, Jinqian Chen, Haozhe Cheng, Jihua Zhu

Inf. Fusion, 2025

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding.

Yiyang Zhou, Yangfan He, Yaofeng Su, Siwei Han, Joel Jang, Gedas Bertasius, Mohit Bansal, Huaxiu Yao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference.

Haibo Tong, Zhaoyang Wang, Zhaorun Chen, Haonian Ji, Shi Qiu, Siwei Han, Kexin Geng, Zhongkai Xue, Yiyang Zhou, Peng Xia, Mingyu Ding, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.

Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Anyprefer: An Agentic Framework for Preference Data Synthesis.

Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models.

Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment.

Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PAWS: A Physical Acoustic Wave Simulation Dataset for Sound Modeling and Rendering.

Tianming Yin, Yiyang Zhou, Xuzhou Ye, Qiuqiang Kong

Proceedings of the IEEE International Conference on Acoustics, 2025

GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?

Yiyang Zhou, Linjie Li, Shi Qiu, Zhengyuan Yang, Yuyang Zhao, Siwei Han, Yangfan He, Kangqi Li, Haonian Ji, Zihao Zhao, Haibo Tong, Lijuan Wang, Huaxiu Yao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Improving Alignment in LVLMs with Debiased Self-Judgment.

Sihan Yang, Chenhang Cui, Zihao Zhao, Yiyang Zhou, Weilong Yan, Ying Wei, Huaxiu Yao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Ghostbuster: A Software Approach for Reducing Ghosting Effect on Electrophoretic Displays.

Tao Hu, Menglong Cui, Mingsong Lv, Tao Yang, Yiyang Zhou, Qingxu Deng, Chun Jason Xue, Nan Guan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

MCoCo: Multi-level Consistency Collaborative multi-view clustering.

Yiyang Zhou, Qinghai Zheng, Yifei Wang, Wenbiao Yan, Pengcheng Shi, Jihua Zhu

Expert Syst. Appl., March, 2024

S2TNet: Spectral-Spatial Triplet Network for Few-Shot Hyperspectral Image Classification.

Guijie Yue, Ling Zhang, Yiyang Zhou, Yuxiang Wang, Zhaohui Xue

IEEE Geosci. Remote. Sens. Lett., 2024

Multi-view Semantic Consistency based Information Bottleneck for Clustering.

Wenbiao Yan, Yiyang Zhou, Yifei Wang, Qinghai Zheng, Jihua Zhu

Knowl. Based Syst., 2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 2024

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.

Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao

CoRR, 2024

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

Yiyang Zhou, Chenhang Cui, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 2024

Calibrated Self-Rewarding Vision Language Models.

Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen, Chenhang Cui, Xiyao Wang, Yun Li, Linjun Zhang, Huaxiu Yao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Y. Zou, Huaxiu Yao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

VHELM: A Holistic Evaluation of Vision Language Models.

Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving.

Siyue Wang, Zhaorun Chen, Zhuokai Zhao, Chaoli Mao, Yiyang Zhou, Jiayu He, Albert Sibo Hu

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

DualGenerator: Information Interaction-Based Generative Network for Point Cloud Completion.

Pengcheng Shi, Haozhe Cheng, Xu Han, Yiyang Zhou, Jihua Zhu

IEEE Robotics Autom. Lett., October, 2023

Semantically consistent multi-view representation learning.

Yiyang Zhou, Qinghai Zheng, Shunshun Bai, Jihua Zhu

Knowl. Based Syst., October, 2023

Bag-of-Features-Driven Spectral-Spatial Siamese Neural Network for Hyperspectral Image Classification.

Zhaohui Xue, Tianzhi Zhu, Yiyang Zhou, Mengxue Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

CoRR, 2023

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao

CoRR, 2023

Evaluation and Analysis of Hallucination in Large Vision-Language Models.

Junyang Wang, Yiyang Zhou, Guohai Xu, Pengcheng Shi, Chenlin Zhao, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Jihua Zhu, Jitao Sang, Haoyu Tang

CoRR, 2023

Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing.

Jie Zhang, Pengcheng Shi, Zaiwang Gu, Yiyang Zhou, Zhi Wang

CoRR, 2023

Overlap Bias Matching is Necessary for Point Cloud Registration.

Pengcheng Shi, Jie Zhang, Haozhe Cheng, Junyang Wang, Yiyang Zhou, Chenlin Zhao, Jihua Zhu

CoRR, 2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, Chenliang Li, Yuanhong Xu, Hehong Chen, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang

CoRR, 2023

MCoCo: Multi-level Consistency Collaborative Multi-view Clustering.

Yiyang Zhou, Qinghai Zheng, Wenbiao Yan, Yifei Wang, Jihua Zhu

CoRR, 2023

Unmanned Vehicle Positioning System Fusion of Radar and Inertial Navigation.

Jialiang Feng, Yiyang Zhou, Shilong Wang, Yiqun Liu

Proceedings of the 5th International Conference on Robotics, 2023

Contrastive Label Enhancement.

Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan, Zhiqiang Tian

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects.

Philip L. Jacobson, Yiyang Zhou, Wei Zhan, Masayoshi Tomizuka, Ming C. Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Construction of IoT Malicious Traffic Dataset and Its Applications.

Yiping Zhang, Yiyang Zhou, Jie Yin, Yichen Yang, Wenwei Xie, Guangjun Liang, Lanping Zhang

IAIC (1), 2023

Reputation-based consensus mechanism for digital order transaction alliance chain.

Ming Zhu, Yiyang Zhou, Xiangyang Feng

Proceedings of the 2nd International Conference on Networks, 2023

2022

High Definition Map as An Infrastructure for Urban Autonomous Driving

Yiyang Zhou

PhD thesis, 2022

Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection.

Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

IEEE Trans. Intell. Transp. Syst., 2022

S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification.

Zhaohui Xue, Yiyang Zhou, Peijun Du

IEEE Trans. Geosci. Remote. Sens., 2022

SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera.

Akio Kodaira, Yiyang Zhou, Pengwei Zang, Wei Zhan, Masayoshi Tomizuka

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

DetMatch: Two Teachers are Better than One for Joint 2D and 3D Semi-Supervised Object Detection.

Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Computer Vision - ECCV 2022, 2022

What Matters for 3D Scene Flow Network.

Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Automatic Construction of Lane-level HD Maps for Urban Scenes.

Yiyang Zhou, Yuichi Takeda, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding.

Di Feng, Yiyang Zhou, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Inferring Spatial Uncertainty in Object Detection.

Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes.

Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, Li-Ta Hsu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2017

A Near-Threshold Voltage Startup Monolithic Boost Converter with Adaptive Sleeping Time Control.

Lianxi Liu, Yiyang Zhou, Junchao Mu, Xufeng Liao, Zhangming Zhu, Yintang Yang

J. Circuits Syst. Comput., 2017

Visual Robotic Object Grasping Through Combining RGB-D Data and 3D Meshes.

Yiyang Zhou, Wenhai Wang, Wenjie Guan, Yirui Wu, Heng Lai, Tong Lu, Min Cai

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

2016

A Prefixed-Itemset-Based Improvement For Apriori Algorithm.

Shoujian Yu, Yiyang Zhou

CoRR, 2016