Abstraction Learning. - Fei Deng 001; Jinsheng Ren; Feng Chen 007 (CoRR, 2018)

Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. - Fei Deng 001; Jianwu Dong; Xiangyu Wang; Ying Fang; Yu Liu; Zhaofei Yu; Jing Liu 014; Feng Chen 007 (IEEE Trans. Instrum. Meas., 2018)

Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. - Zhaofei Yu; Feng Chen 007; Fei Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. - Shangqi Guo; Zhaofei Yu; Fei Deng 001; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Cybern., 2019)

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. - Zhixuan Lin; Yi-Fu Wu; Skand Vishwanath Peri; Weihao Sun; Gautam Singh; Fei Deng 001; Jindong Jiang; Sungjin Ahn (ICLR, 2020)

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. - Zhaofei Yu; Shangqi Guo; Fei Deng 001; Qi Yan 005; Keke Huang; Jian K. Liu; Feng Chen 007 (IEEE Trans. Cybern., 2020)

Generative Scene Graph Networks. - Fei Deng 001; Zhuo Zhi; Donghun Lee; Sungjin Ahn (ICLR, 2021)

ROOTS: Object-Centric Representation and Rendering of 3D Scenes. - Chang Chen; Fei Deng 001; Sungjin Ahn (J. Mach. Learn. Res., 2021)

Illiterate DALL-E Learns to Compose. - Gautam Singh; Fei Deng 001; Sungjin Ahn (ICLR, 2022)

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. - Fei Deng 001; Ingook Jang; Sungjin Ahn (ICML, 2022)

BlazeStyleGAN: A Real-Time On-Device StyleGAN. - Haolin Jia 001; Qifei Wang; Omer Tov; Yang Zhao; Fei Deng 001; Lu Wang; Chuo-Ling Chang; Tingbo Hou; Matthias Grundmann (CVPR Workshops, 2023)

Facing Off World Model Backbones: RNNs, Transformers, and S4. - Fei Deng 001; Junyeong Park; Sungjin Ahn (NeurIPS, 2023)

Object-Centric Slot Diffusion. - Jindong Jiang; Fei Deng 001; Gautam Singh; Sungjin Ahn (NeurIPS, 2023)

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. - Ligong Han; Seungwook Han; Shivchander Sudalairaj; Charlotte Loh; Rumen Dangovski; Fei Deng 001; Pulkit Agrawal 001; Dimitris N. Metaxas; Leonid Karlinsky; Tsui-Wei Weng; Akash Srivastava (CoRR, 2023)

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models. - Fei Deng 001; Qifei Wang; Wei Wei; Tingbo Hou; Matthias Grundmann (CVPR, 2024)

Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation. - Seung Hyun Lee; Yinxiao Li; Junjie Ke; Innfarn Yoo; Han Zhang 010; Jiahui Yu; Qifei Wang; Fei Deng 001; Glenn Entis; Junfeng He; Gang Li 021; Sangpil Kim; et al. (ECCV (38), 2024)

Simple Hierarchical Planning with Diffusion. - Chang Chen; Fei Deng 001; Kenji Kawaguchi; Caglar Gulcehre; Sungjin Ahn (ICLR, 2024)

PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. - Chang Chen; Junyeob Baek; Fei Deng 001; Kenji Kawaguchi; Caglar Gulcehre; Sungjin Ahn (ICML, 2024)

Slot State Space Models. - Jindong Jiang; Fei Deng 001; Gautam Singh; Minseung Lee; Sungjin Ahn (NeurIPS, 2024)