Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. - Yuqing Ma; Xianglong Liu 001; Shihao Bai; Lei Wang 018; Dailan He; Aishan Liu (IJCAI, 2019)

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. - Yuqing Ma; Xianglong Liu 001; Shihao Bai; Lei Wang 018; Aishan Liu; Dacheng Tao; Edwin R. Hancock (CoRR, 2019)

Transductive Relation-Propagation Network for Few-shot Learning. - Yuqing Ma; Shihao Bai; Shan An; Wei Liu 005; Aishan Liu; Xiantong Zhen; Xianglong Liu 001 (IJCAI, 2020)

Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. - Yuqing Ma; Wei Liu 005; Shihao Bai; Qingyu Zhang; Aishan Liu; Weimin Chen 002; Xianglong Liu 001 (IJCAI, 2020)

Hierarchical Rule Induction Network for Abstract Visual Reasoning. - Sheng Hu; Yuqing Ma; Xianglong Liu 001; Yanlu Wei; Shihao Bai (CoRR, 2020)

Stratified Rule-Aware Network for Abstract Visual Reasoning. - Sheng Hu; Yuqing Ma; Xianglong Liu 001; Yanlu Wei; Shihao Bai (AAAI, 2021)

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning. - Yuqing Ma; Shihao Bai; Wei Liu 005; Shuo Wang 008; Yue Yu 001; Xiao Bai 001; Xianglong Liu 001; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Lossy and Lossless (L2) Post-training Model Size Compression. - Yumeng Shi; Shihao Bai; Xiuying Wei; Ruihao Gong; Jianlei Yang 001 (ICCV, 2023)

Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. - Yuqing Ma; Xianglong Liu 001; Shihao Bai; Lei Wang 018; Aishan Liu; Dacheng Tao; Edwin R. Hancock (IEEE Trans. Cybern., 2023)

Temporal Speciation Network for Few-Shot Object Detection. - Xiaowei Zhao; Xianglong Liu 001; Yuqing Ma; Shihao Bai; Yifan Shen; Zeyu Hao; Aishan Liu (IEEE Trans. Multim., 2023)

A meaningful learning method for zero-shot semantic segmentation. - Xianglong Liu 001; Shihao Bai; Shan An; Shuo Wang 008; Wei Liu 005; Xiaowei Zhao; Yuqing Ma (Sci. China Inf. Sci., 2023)

SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation. - Yuqing Ma; Wei Liu 005; Yajun Gao; Yang Yuan; Shihao Bai; Haotong Qin; Xianglong Liu 001 (Sci. China Inf. Sci., 2024)

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. - Zhiwei Dong; Mingzhu Shen; Shihao Bai; Xiuying Wei; Jinyang Guo; Ruihao Gong; Song-Lu Chen; Xianglong Liu 001; Xu-Cheng Yin (AAAI, 2025)

Pre³: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation. - Junyi Chen; Shihao Bai; Zaijun Wang; Siyu Wu 001; Chuheng Du; Hailong Yang 002; Ruihao Gong; Shengzhong Liu; Fan Wu 006; Guihai Chen (ACL (1), 2025)

Past-Future Scheduler for LLM Serving under SLA Guarantees. - Ruihao Gong; Shihao Bai; Siyu Wu 001; Yunqian Fan; Zaijun Wang; Xiuhong Li; Hailong Yang 002; Xianglong Liu 001 (ASPLOS (2), 2025)

Inversed Pyramid Network with Spatial-adapted and Task-oriented Tuning for few-shot learning. - Xiaowei Zhao; Duorui Wang; Shihao Bai; Shuo Wang 008; Yajun Gao; Yu Liang; Yuqing Ma; Xianglong Liu 001 (Pattern Recognit., 2025)

Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation. - Junyi Chen; Shihao Bai; Zaijun Wang; Siyu Wu 001; Chuheng Du; Hailong Yang 002; Ruihao Gong; Shengzhong Liu; Fan Wu 006; Guihai Chen (CoRR, 2025)