Face recognition using sift features. - Cong Geng; Xudong Jiang 001 (ICIP, 2009)

Direct Yaw-Moment Control of an In-Wheel-Motored Electric Vehicle Based on Body Slip Angle Fuzzy Observer. - Cong Geng; Lotfi Mostefai; Mouloud Denai; Yoichi Hori (IEEE Trans. Ind. Electron., 2009)

Face recognition based on the multi-scale local image structures. - Cong Geng; Xudong Jiang 001 (Pattern Recognit., 2011)

Face alignment based on the multi-scale local features. - Cong Geng; Xudong Jiang 001 (ICASSP, 2012)

A tool path correction and compression algorithm for five-axis CNC machining. - Cong Geng; Dong Yu; Liaomo Zheng; Han Zhang; Feng Wang (J. Syst. Sci. Complex., 2013)

A control algorithm for rapid movements near the radius compensation singularity in five-axis end milling. - Feng Wang; Hu Lin; Liaomo Zheng; Feng Liu; Lei Yang; Cong Geng (J. Syst. Sci. Complex., 2013)

Fully automatic face recognition framework based on local and global features. - Cong Geng; Xudong Jiang 001 (Mach. Vis. Appl., 2013)

An interpolation method based on tool orientation fitting in five-axis CNC machining. - Cong Geng; Yuhou Wu (INDIN, 2016)

Scale-Transferrable Object Detection. - Peng Zhou 010; Bingbing Ni; Cong Geng; Jianguo Hu; Yi Xu 001 (CVPR, 2018)

Multi-Fold Physical Layer Data Encryption Using Chaotic Frequency Hopping. - Cong Geng; Xuelin Yang; Weiqiang Sun; Weisheng Hu (ICTON, 2018)

A Wavelet-based Learning for Face Hallucination with Loop Architecture. - Cong Geng; Li Chen 021; Xiaoyun Zhang 001; Peng Zhou; Zhiyong Gao (VCIP, 2018)

Fast Data Reduction With Granulation-Based Instances Importance Labeling. - Xiaoyan Sun 002; Lian Liu; Cong Geng; Shaofeng Yang (IEEE Access, 2019)

Adversarial Text Image Super-Resolution using Sinkhorn Distance. - Cong Geng; Li Chen 021; Xiaoyun Zhang 001; Zhiyong Gao (ICASSP, 2020)

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. - Zhu Sun 001; Di Yu 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Jie Zhang 002; Cong Geng (RecSys, 2020)

Uniform Interpolation Constrained Geodesic Learning on Data Manifold. - Cong Geng; Jia Wang; Li Chen 021; Wenbo Bao; Chu Chu; Zhiyong Gao (CoRR, 2020)

Generative Model without Prior Distribution Matching. - Cong Geng; Jia Wang; Li Chen 021; Zhiyong Gao (CoRR, 2020)

Wide-Band Optical Frequency Hopping Using Digital Chaos. - Cong Geng; Xuelin Yang; Weisheng Hu (J. Signal Process. Syst., 2020)

Omni-GAN: On the Secrets of cGANs and Beyond. - Peng Zhou 010; Lingxi Xie; Bingbing Ni; Cong Geng; Qi Tian 001 (ICCV, 2021)

Bounds all around: training energy-based models with bidirectional bounds. - Cong Geng; Jia Wang; Zhiyong Gao; Jes Frellsen; Søren Hauberg (NeurIPS, 2021)

Geodesic Learning With Uniform Interpolation on Data Manifold. - Cong Geng; Jia Wang; Li Chen 021; Zhiyong Gao (IEEE Access, 2022)

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. - Huizi Wu; Hui Fang 002; Zhu Sun 001; Cong Geng; Xinyu Kong; Yew-Soon Ong (ICDE, 2023)

A Longitudinal/Lateral Coupled Neural Network Model Predictive Controller for Path Tracking of Self-Driving Vehicle. - Sibing Yang; Cong Geng (IEEE Access, 2023)

Exploring the tidal effect of urban business district with large-scale human mobility data. - Hongting Niu; Ying Sun 006; Hengshu Zhu; Cong Geng; Jiuchun Yang; Hui Xiong 001; Bo Lang (Frontiers Comput. Sci., 2023)

Recent Progress in Λc+ Decays. - Cong Geng; Xiaorong Zhou (Symmetry, 2023)

Solving the reconstruction-generation trade-off: Generative model with implicit embedding learning. - Cong Geng; Jia Wang; Li Chen; Zhiyong Gao (Neurocomputing, 2023)

Improving Adversarial Energy-Based Model via Diffusion Process. - Cong Geng; Tian Han 001; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Søren Hauberg; Bo Li 115 (ICML, 2024)

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training. - Tianyi Zheng; Cong Geng; Peng-Tao Jiang; Ben Wan; Hao Zhang 063; Jinwei Chen; Jia Wang 004; Bo Li 115 (ACM Multimedia, 2024)

Smart Colleges: Analyzing a 5G-Enabled Smart English Hybrid Teaching System. - Wang Hui; Cong Geng (Comput. Hum. Behav., 2024)

Causality and Correlation Graph Modeling for Effective and Explainable Session-Based Recommendation. - Huizi Wu; Cong Geng; Hui Fang 002 (ACM Trans. Web, 2024)

Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data. - Huizi Wu; Cong Geng; Hui Fang 002 (Data Min. Knowl. Discov., 2024)

EBM-WGF: Training energy-based models with Wasserstein gradient flow. - Ben Wan; Cong Geng; Tianyi Zheng; Jia Wang 004 (Neural Networks, 2025)

Exploring bidirectional bounds for minimax-training of Energy-based models. - Cong Geng; Jia Wang; Li Chen; Zhiyong Gao; Jes Frellsen; Søren Hauberg (CoRR, 2025)