Training Bit Fully Convolutional Network for Fast Semantic Segmentation. - He Wen; Shuchang Zhou 001; Zhe Liang; Yuxiang Zhang; Dieqiao Feng; Xinyu Zhou 004; Cong Yao (CoRR, 2016)

GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data. - Shuchang Zhou 001; Taihong Xiao; Yi Yang 033; Dieqiao Feng; Qinyao He; Weiran He (BMVC, 2017)

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. - Shuchang Zhou 001; Taihong Xiao; Yi Yang 033; Dieqiao Feng; Qinyao He; Weiran He (CoRR, 2017)

Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. - Dieqiao Feng; Carla P. Gomes; Bart Selman (IJCAI, 2020)

A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. - Dieqiao Feng; Carla P. Gomes; Bart Selman (NeurIPS, 2020)

Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning. - Dieqiao Feng; Carla P. Gomes; Bart Selman (NeurIPS, 2022)

Graph Value Iteration. - Dieqiao Feng; Carla P. Gomes; Bart Selman (CoRR, 2022)

Weighted Sampling without Replacement for Deep Top-k Classification. - Dieqiao Feng; Yuanqi Du; Carla P. Gomes; Bart Selman (ICML, 2023)

A new perspective on building efficient and expressive 3D equivariant graph neural networks. - Weitao Du; Yuanqi Du; Limei Wang; Dieqiao Feng; Guifeng Wang; Shuiwang Ji; Carla P. Gomes; Zhi-Ming Ma (NeurIPS, 2023)