CAGAN: Consistent Adversarial Training Enhanced GANs. - Yao Ni; Dandan Song; Xi Zhang; Hao Wu; Lejian Liao (IJCAI, 2018)

A joint deep model of entities and documents for cumulative citation recommendation. - Lerong Ma; Dandan Song; Lejian Liao; Yao Ni (Clust. Comput., 2019)

Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses. - Hong Han; Zhipeng Xu; Kexin Guo; Yao Ni; Mingxue Ma; Haiyang Yu; Huanhuan Wei; Jiangdong Gong; Shuo Zhang; Wentao Xu (Adv. Intell. Syst., 2020)

Manifold Learning Benefits GANs. - Yao Ni; Piotr Koniusz; Richard I. Hartley; Richard Nock (CVPR, 2022)

Two-dimensional molybdenum disulfide artificial synapse with high sensitivity. - Hao Huang; Lu Liu; Chengpeng Jiang; Jiangdong Gong; Yao Ni; Zhipeng Xu; Huanhuan Wei; Haiyang Yu; Wentao Xu (Neuromorph. Comput. Eng., 2022)

σ-Adaptive Decoupled Prototype for Few-Shot Object Detection. - Jinhao Du; Shan Zhang; Qiang Chen 007; Haifeng Le; Yanpeng Sun; Yao Ni; Jian Wang 066; Bin He; Jingdong Wang 001 (ICCV, 2023)

NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs. - Yao Ni; Piotr Koniusz (NeurIPS, 2023)

$ bigcirc ! ! ! ! bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization. - Yao Ni; Piotr Koniusz (CVPR, 2024)

PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization. - Yao Ni; Shan Zhang 002; Piotr Koniusz (NeurIPS, 2024)

Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition. - Shan Zhang 002; Yao Ni; Jinhao Du; Yanxia Liu; Piotr Koniusz (WACV, 2024)

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization. - Yao Ni; Piotr Koniusz (CoRR, 2024)

Open-World Objectness Modeling Unifies Novel Object Detection. - Shan Zhang 002; Yao Ni; Jinhao Du; Yuan Xue; Philip Torr 001; Piotr Koniusz; Anton van den Hengel (CVPR, 2025)

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis. - Yao Ni; Song Wen 001; Piotr Koniusz; Anoop Cherian (CVPR Workshops, 2025)