| 2025 | CHI | Emotion-aware Design in Automobiles: Embracing Technology Advancements to Enhance Human-vehicle Interaction. | Xingtong Chen, Xia Wang, Cong Fang, Le Fang, Wei Gong, Chengzhong Liu, Stephen Jia Wang |
| 2025 | ICLR | SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process. | Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin |
| 2025 | ICML | Learning Curves of Stochastic Gradient Descent in Kernel Regression. | Haihan Zhang, Weicheng Lin, Yuanshi Liu, Cong Fang |
| 2024 | ICML | Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective. | Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu |
| 2024 | ICML | End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations. | Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li |
| 2024 | ICML | Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. | Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li |
| 2023 | COLT | On the Lower Bound of Minimizing Polyak-Łojasiewicz functions. | Pengyun Yue, Cong Fang, Zhouchen Lin |
| 2023 | COLT | Zeroth-order Optimization with Weak Dimension Dependency. | Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin |
| 2023 | CSCW | Towards Human-Centred AI-Co-Creation: A Three-Level Framework for Effective Collaboration between Human and AI. | Mingyuan Zhang, Zhaolin Cheng, Sheung Ting Ramona Shiu, Jiacheng Liang, Cong Fang, Zhengtao Ma, Le Fang, Stephen Jia Wang |
| 2021 | COLT | Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. | Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang |
| 2019 | AAAI | Lifted Proximal Operator Machines. | Jia Li, Cong Fang, Zhouchen Lin |
| 2019 | AISTATS | Complexities in Projection-Free Stochastic Non-convex Minimization. | Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian |
| 2019 | COLT | Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. | Cong Fang, Zhouchen Lin, Tong Zhang |
| 2019 | ICASSP | Learning Compact Partial Differential Equations for Color Images with Efficiency. | Zhenyu Zhao, Chenping Hou, Bo Lin, Cong Fang |
| 2017 | AAAI | Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. | Cong Fang, Zhouchen Lin |