Identifying Interest Flooding in Named Data Networking. - Jianqiang Tang; Zhongyue Zhang; Ying Liu 018; Hongke Zhang (GreenCom/iThings/CPScom, 2013)

megaman: Manifold Learning with Millions of points. - James McQueen; Marina Meila; Jacob VanderPlas; Zhongyue Zhang (CoRR, 2016)

Megaman: Scalable Manifold Learning in Python. - James McQueen; Marina Meila; Jacob VanderPlas; Zhongyue Zhang (J. Mach. Learn. Res., 2016)

Context Encoding for Semantic Segmentation. - Hang Zhang 005; Kristin J. Dana; Jianping Shi; Zhongyue Zhang; Xiaogang Wang 001; Ambrish Tyagi; Amit Agrawal 002 (CVPR, 2018)

Bag of Tricks for Image Classification with Convolutional Neural Networks. - Tong He 002; Zhi Zhang 005; Hang Zhang 005; Zhongyue Zhang; Junyuan Xie; Mu Li 003 (CVPR, 2019)

Bag of Freebies for Training Object Detection Neural Networks. - Zhi Zhang 005; Tong He 002; Hang Zhang 005; Zhongyue Zhang; Junyuan Xie; Mu Li 003 (CoRR, 2019)

Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks. - Shuangjia Zheng; Jiahua Rao; Zhongyue Zhang; Jun Xu 017; Yuedong Yang (CoRR, 2019)

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. - Jian Guo; He He 001; Tong He 002; Leonard Lausen; Mu Li 003; Haibin Lin; Xingjian Shi; Chenguang Wang 001; Junyuan Xie; Sheng Zha; Aston Zhang; Hang Zhang 005; et al. (CoRR, 2019)

Improving Semantic Segmentation via Self-Training. - Yi Zhu 001; Zhongyue Zhang; Chongruo Wu; Zhi Zhang 005; Tong He 002; Hang Zhang 005; R. Manmatha; Mu Li 003; Alexander J. Smola (CoRR, 2020)

Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks. - Shuangjia Zheng; Jiahua Rao; Zhongyue Zhang; Jun Xu 017; Yuedong Yang (J. Chem. Inf. Model., 2020)

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. - Jian Guo; He He 001; Tong He 002; Leonard Lausen; Mu Li 003; Haibin Lin; Xingjian Shi; Chenguang Wang 001; Junyuan Xie; Sheng Zha; Aston Zhang; Hang Zhang 005; et al. (J. Mach. Learn. Res., 2020)

Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network. - Yi Wang; Zhongyue Zhang; Hua Chai; Yuedong Yang (BIBM, 2021)

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction. - Hua Chai; Xiang Zhou; Zhongyue Zhang; Jiahua Rao; Huiying Zhao; Yuedong Yang (Comput. Biol. Medicine, 2021)

Predicting bladder cancer prognosis by integrating multi-omics data through a transfer learning-based Cox proportional hazards network. - Hua Chai; Zhongyue Zhang; Yi Wang; Yuedong Yang (CCF Trans. High Perform. Comput., 2021)

ResNeSt: Split-Attention Networks. - Hang Zhang 005; Chongruo Wu; Zhongyue Zhang; Yi Zhu 001; Haibin Lin; Zhi Zhang 005; Yue Sun; Tong He 002; Jonas Mueller 001; R. Manmatha; Mu Li 003; Alexander J. Smola (CVPR Workshops, 2022)

A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction. - Hua Chai; Long-Yi Guo; Minfan He; Zhongyue Zhang; Yuedong Yang (ICSI (2), 2022)

Cancer survival prognosis with Deep Bayesian Perturbation Cox Network. - Zhongyue Zhang; Hua Chai; Yi Wang; Zixiang Pan; Yuedong Yang (Comput. Biol. Medicine, 2022)

A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring. - Huixing Zhou; Chongwen Xu; Xiuying Tang; Shun Wang; Zhongyue Zhang (Sensors, 2022)

A Family of High Gain Converters Based on Switched Inductor and Switched Capacitor Units. - Sinan Li; Yiting Zhang; Zhongyue Zhang; Danyang Bao; Xuewei Pan (IECON, 2023)

Toward Facilitating Search in VR With the Assistance of Vision Large Language Models. - Chao Liu; Chi San (Clarence) Cheung; Mingqing Xu; Zhongyue Zhang; Mingyang Su; Mingming Fan 001 (VRST, 2024)

RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World. - Weixin Mao; Weiheng Zhong; Zhou Jiang; Dong Fang; Zhongyue Zhang; Zihan Lan; Fan Jia; Tiancai Wang; Haoqiang Fan; Osamu Yoshie (CoRR, 2024)

Improving Semantic Segmentation via Efficient Self-Training. - Yi Zhu 001; Zhongyue Zhang; Chongruo Wu; Zhi Zhang 005; Tong He 002; Hang Zhang 005; R. Manmatha; Mu Li 003; Alexander J. Smola (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Chorus of the Past: Toward Designing a Multi-agent Conversational Reminiscence System with Digital Artifacts for Older Adults. - Jingwei Sun 005; Zhongyue Zhang; Mengyang Wang; Nianlong Li; Zhangwei Lu; Yan Xiang; Liuxin Zhang; Yu Zhang 124; Qianying Wang; Mingming Fan 001 (CHI, 2025)

"Watch, Smell, Ask, Touch": Practices, Challenges, and Technological Support in Ability Assessment of Older Adults from Practitioners' Perspectives in China. - Zhongyue Zhang; Yuru Huang; Mengyang Wang; Mingming Fan 001 (CHI, 2025)

Understanding and Co-designing Photo-based Reminiscence with Older Adults. - Zhongyue Zhang; Lina Xu; Xingkai Wang; Xu Zhang; Mingming Fan 001 (Proc. ACM Hum. Comput. Interact., 2025)

Fitness aligned structural modeling enables scalable virtual screening with AuroBind. - Zhongyue Zhang; Jiahua Rao; Jie Zhong; Weiqiang Bai; Dongxue Wang; Shaobo Ning; Lifeng Qiao; Sheng Xu; Runze Ma; Will Hua; Jack Xiaoyu Chen; Odin Zhang; et al. (CoRR, 2025)

Graph neural networks with flow conservation constraints for real-time origin-destination matrix completion. - Zhongyue Zhang; Jing Yang 017; Xiaoxu Chen; Yuankai Wu (Pattern Recognit., 2026)