Cumulative belief peaks evidential K-nearest neighbor clustering. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang (Knowl. Based Syst., 2020)

An interactive nonparametric evidential regression algorithm with instance selection. - Chaoyu Gong; Pei-hong Wang; Zhi-gang Su (Soft Comput., 2020)

An Efficient 2D Method for Training Super-Large Deep Learning Models. - Qifan Xu; Shenggui Li; Chaoyu Gong; Yang You 001 (CoRR, 2021)

Evidential instance selection for K-nearest neighbor classification of big data. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang; Yang You 001 (Int. J. Approx. Reason., 2021)

An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang (Pattern Recognit., 2021)

Distributed EK-NN Classification. - Chaoyu Gong; Zhi-gang Su; Qian Wang; Yang You 001 (BELIEF, 2022)

Self-reconstructive evidential clustering for high-dimensional data. - Chaoyu Gong; Yongbin Liu; Di Fu; Yong Liu 020; Pei-hong Wang; Yang You 001 (ICDE, 2022)

Joint Evidential $K$-Nearest Neighbor Classification. - Chaoyu Gong; Yongbin Li; Yong Liu 020; Pei-hong Wang; Yang You 001 (ICDE, 2022)

Distributed evidential clustering toward time series with big data issue. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Yang You 001 (Expert Syst. Appl., 2022)

Clustering based on adaptive local density with evidential assigning strategy. - Qian Wang; Chaoyu Gong; Pei-hong Wang (Intell. Data Anal., 2022)

A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang; Yang You 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive evidential K-NN classification: Integrating neighborhood search and feature weighting. - Chaoyu Gong; Zhi-gang Su; Xinyi Zhang; Yang You 001 (Inf. Sci., 2023)

Incremental Belief-Peaks Evidential Clustering. - Chaoyu Gong; Sihan Wang; Zhi-gang Su (BELIEF, 2024)

Early prediction of maize resistance to nicosulfuron using hyperspectral imaging and deep learning: Method and mechanism. - Tianpu Xiao; Li Yang 013; Dongxing Zhang; Tao Cui; Liangju Wang; Zhaohui Du; Chunji Xie; Zhimin Li; Chaoyu Gong; Hongsheng Li 001; Haoyu Wang (Comput. Electron. Agric., 2024)

Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. - Yong Liu 020; Zirui Zhu; Chaoyu Gong; Minhao Cheng; Cho-Jui Hsieh; Yang You 001 (CoRR, 2024)

Sparse Reconstructive Evidential Clustering for Multi-View Data. - Chaoyu Gong; Yang You 001 (IEEE CAA J. Autom. Sinica, 2024)

Self-filling evidential clustering for partial multi-view data. - Chaoyu Gong; Yang You 001 (Expert Syst. Appl., 2024)

Scalable Evidential K-Nearest Neighbor Classification on Big Data. - Chaoyu Gong; Jim Demmel; Yang You 001 (IEEE Trans. Big Data, 2024)

Distributed and Joint Evidential K-Nearest Neighbor Classification. - Chaoyu Gong; Jim Demmel; Yang You 001 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-view evidential K-NN classification. - Chaoyu Gong; Zhi-gang Su; Thierry Denoeux (Inf. Fusion, 2025)

CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration. - Zheming Yang; Wen Ji; Qi Guo; Dieli Hu 001; Chang Zhao; Xiaowei Li; Xuanlei Zhao; Yi Zhao; Chaoyu Gong; Yang You 001 (CoRR, 2025)

KMT-PLL: K-Means Cross-Attention Transformer for Partial Label Learning. - Jinfu Fan; Linqing Huang; Chaoyu Gong; Yang You 001; Min Gan; Zhongjie Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k. - Xiangyu Peng; Zangwei Zheng; Chenhui Shen; Tom Young; Xinying Guo; Binluo Wang; Hang Xu; Hongxin Liu; Mingyan Jiang; Wenjun Li; Yuhui Wang; Anbang Ye; et al. (CoRR, 2025)

Unsupervised Learning for Class Distribution Mismatch. - Pan Du; Wangbo Zhao; Xinai Lu; Nian Liu; Zhikai Li; Chaoyu Gong; Suyun Zhao; Hong Chen 001; Cuiping Li; Kai Wang; Yang You 001 (CoRR, 2025)

When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework. - Haoyu Liu; Chaoyu Gong; Mengke He; Jiate Li; Kai Han; Siqiang Luo (CoRR, 2025)

Time-Series Clustering With Dynamic Feature Mining in the Framework of Belief Function Theory. - Yunshu Shi; Chaoyu Gong; Zhi-gang Su (IEEE Trans. Syst. Man Cybern. Syst., 2025)