| 2026 | AAAI | Point Cloud Semantic Scene Completion with Prototype-Guided Transformer. | Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao |
| 2026 | AAAI | Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs. | Ming Li, Yongqi Li, Yuting Chen, Feilong Cao, Ke Lv |
| 2026 | AAAI | Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction. | Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv |
| 2026 | AAAI | Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation. | Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li |
| 2026 | AAAI | HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning. | Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv |
| 2026 | AAAI | HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters. | Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao |
| 2026 | ISKE | Interest-Expansion-Based Graph Convolutional Neural Networks for Recommendation. | Wenhui Guo, Tiantian Zhou, Sihui Li, Hailiang Ye, Feilong Cao |
| 2026 | ISKE | Boosting Targeted Label Attacks in Graph Neural Networks with Iterative Edge Injection. | Sihui Li, Qiyang Chen, Wenhui Guo, Hailiang Ye, Feilong Cao |
| 2025 | ICML | EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction. | Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio |
| 2025 | IJCAI | Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer. | Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao |
| 2025 | IJCAI | MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. | Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang |
| 2023 | ICML | How Powerful are Shallow Neural Networks with Bandlimited Random Weights? | Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang |
| 2023 | ICMLC | A Global-and-Local Feature Fusion Network for Point Cloud Classification. | Xinhong Meng, Meng Hu, Hailiang Ye, Ming Li, Feilong Cao |
| 2017 | IDEAL | Consensus-based Parallel Algorithm for Robust Convex Optimization with Scenario Approach in Colored Network. | Fan Feng, Feilong Cao |
| 2015 | ICNC | Leukocyte image segmentation using feed forward neural networks with random weights. | Feilong Cao, Jing Lu, Jianjun Chu, Zhenghua Zhou, Jianwei Zhao, Guoqiang Chen |
| 2013 | ISNN | Fast Image Classification Algorithms Based on Random Weights Networks. | Feilong Cao, Jianwei Zhao, Bo Liu |
| 2013 | SMC | A Reduction Algorithm for the Big Data in 3D Surface Reconstruction. | Jianwei Zhao, Yanqing Fu, Yuanpeng Tan, Feilong Cao |
| 2011 | ICMLC | Baby formula classification based on forth order polynomial smoothing support vector machine. | Yubo Yuan, Jing Lu, Feilong Cao |
| 2011 | ICMLC | A novel software reliability model with the decrease-rate of removing errors. | Hou-Ying Zhu, Yubo Yuan, Feilong Cao, Bo Liu |
| 2010 | ICARCV | Adaptive control of singular nonlinear systems with convex/concave parametrization. | Qingxiang Fang, Feilong Cao |
| 2010 | ICMLC | The construction and approximation for feedforword neural networks with fixed weights. | Feilong Cao, Tingfan Xie |
| 2010 | ICMLC | Approximation by approximate interpolation neural networks with single hidden layer. | Chunmei Ding, Yubo Yuan, Feilong Cao |
| 2010 | ICMLC | Approximate interpolation by a class of neural networks in Lebesgue metric. | Chunmei Ding, Yubo Yuan, Feilong Cao |
| 2010 | ICMLC | Estimate human gene family number by improved k-means clustering. | Dongmei Pu, Yubo Yuan, Feilong Cao |
| 2010 | ICMLC | Canonical duality solution to support vector machine. | Yubo Yuan, Feilong Cao |
| 2010 | ICMLC | Sixth order polynomial smoothing approximation solution to support vector machine. | Yubo Yuan, Dongmei Pu, Feilong Cao |
| 2010 | ICNC | Exact and approximate interpolation for neural networks with single hidden layer. | Feilong Cao, Yubo Yuan, Chunmei Ding |
| 2010 | ICNC | A new solution method to support vector machine based on arc smoothing function. | Yubo Yuan, Feilong Cao |
| 2010 | ICNC | Neural networks for interpolation of functionals on a Hilbert space. | Jianwei Zhao, Feilong Cao |
| 2009 | GRC | Convergence rates for a class of neural networks with logarithmic function. | Feilong Cao, Yubo Yuan |
| 2009 | ICNC | Marrow Cell Segmentation by Simulating Visual System. | Chen Pan, Feilong Cao |
| 2009 | ISNN | Face Image Recognition Combining Holistic and Local Features. | Chen Pan, Feilong Cao |
| 2008 | ISNN | An Improvement to Ant Colony Optimization Heuristic. | Youmei Li, Zongben Xu, Feilong Cao |
| 2007 | ICNC | The Constructive Methods and Numerical Results for Approximation of Neural Networks. | Ruyue Yang, Xing Pan, Feilong Cao |
| 2006 | ISNN | The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units. | Chunmei Ding, Feilong Cao, Zongben Xu |
| 2005 | ISNN | Pointwise Approximation for Neural Networks. | Feilong Cao, Zongben Xu, Youmei Li |
| 2005 | ISNN | Generalization and Property Analysis of GENET. | Youmei Li, Zongben Xu, Feilong Cao |