Improved Multimodal Deep Learning with Variation of Information. - Kihyuk Sohn; Wenling Shang; Honglak Lee (NIPS, 2014)

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. - Wenling Shang; Kihyuk Sohn; Diogo Almeida; Honglak Lee (ICML, 2016)

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. - Wenling Shang; Kihyuk Sohn; Honglak Lee; Anna C. Gilbert (SDM, 2016)

Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. - Wenling Shang; Justin Chiu; Kihyuk Sohn (AAAI, 2017)

ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games. - Yuandong Tian; Qucheng Gong; Wenling Shang; Yuxin Wu; C. Lawrence Zitnick (NIPS, 2017)

Channel-Recurrent Variational Autoencoders. - Wenling Shang; Kihyuk Sohn; Zeynep Akata; Yuandong Tian (CoRR, 2017)

Channel-Recurrent Autoencoding for Image Modeling. - Wenling Shang; Kihyuk Sohn; Yuandong Tian (WACV, 2018)

Unsupervised Domain Adaptation for Distance Metric Learning. - Kihyuk Sohn; Wenling Shang; Xiang Yu 002; Manmohan Chandraker (ICLR (Poster), 2019)

Stochastic Activation Actor Critic Methods. - Wenling Shang; Douwe van der Wal; Herke van Hoof; Max Welling (ECML/PKDD (3), 2019)

Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. - Wenling Shang; Kihyuk Sohn (WACV, 2019)

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. - Wenling Shang; Alexander Trott; Stephan Zheng; Caiming Xiong; Richard Socher (CoRR, 2019)

Reinforcement Learning with Latent Flow. - Wenling Shang; Xiaofei Wang 008; Aravind Srinivas; Aravind Rajeswaran; Yang Gao 029; Pieter Abbeel; Michael Laskin (NeurIPS, 2021)

GEM: Group Enhanced Model for Learning Dynamical Control Systems. - Philippe Hansen-Estruch; Wenling Shang; Lerrel Pinto; Pieter Abbeel; Stas Tiomkin (CoRR, 2021)

Agent-Centric Representations for Multi-Agent Reinforcement Learning. - Wenling Shang; Lasse Espeholt; Anton Raichuk; Tim Salimans (CoRR, 2021)