Haonan Yu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 41

Top Topics

Reinforcement Learning

Language Acquisition

Neural Architecture

Feature Transformation

Top Venues

Publications

Chuan Xu, Haonan Yu, Liye Mei, Ying Wang, Jian Huang, Wenying Du, Shuangtong Jin, Xinliu Li, Minglin Yu, Wei Yang, Xinghua Li
Rethinking Building Change Detection: Dual-Frequency Learnable Visual Encoder With Multiscale Integration Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Haonan Yu, Wei Xu
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. ICLR (2024)
Haonan Yu, Wei Xu
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. CoRR (2024)
Chuan Xu, Zhaoyi Ye, Liye Mei, Haonan Yu, Jianchen Liu, Yaxiaer Yalikun, Shuangtong Jin, Sheng Liu, Wei Yang, Cheng Lei
Hybrid Attention-Aware Transformer Network Collaborative Multiscale Feature Alignment for Building Change Detection. IEEE Trans. Instrum. Meas. 73 (2024)
Haichao Zhang, Wei Xu, Haonan Yu
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. ICLR (2023)
Haonan Yu, Yunbao Zhou, Yuhuan Jia, Jingjin Ma, Benfeng Pan, Wei Zhou, Yang Chen
Research on Traceability of Atmospheric Particulate Pollutants Based on Particle Size Data. ICCSE (1) (2023)
Haichao Zhang, We Xu, Haonan Yu
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. CoRR (2023)
Haonan Yu, Haichao Zhang, Wei Xu
Do You Need the Entropy Reward (in Practice)? CoRR (2022)
Haonan Yu, Wei Xu, Haichao Zhang
Towards Safe Reinforcement Learning with a Safety Editor Policy. NeurIPS (2022)
Haichao Zhang, Wei Xu, Haonan Yu
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. CoRR (2022)
Xuqing Luo, Wei Zhou, Xiaoyan Jin, Yongji Wang, Binyue Cui, Yunbao Zhou, Haonan Yu
Data Mining Series Experiment Design and OJ System Development Based on R Language. ICCSE (3) (2022)
Haonan Yu, Wei Xu, Haichao Zhang
Towards Safe Reinforcement Learning with a Safety Editor Policy. CoRR (2022)
Haichao Zhang, Wei Xu, Haonan Yu
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. ICLR (2022)
Hongyu Wu, Haonan Yu, Fan Ye, Jian Sun, Yuan Gao, Ke Tan, Aimin Hao
Interactive Hepatic Parenchymal Transection Simulation with Haptic Feedback. Virtual Real. Intell. Hardw. 3 (5) (2021)
Jesse Zhang, Haonan Yu, Wei Xu
Hierarchical Reinforcement Learning By Discovering Intrinsic Options. CoRR (2021)
Wei Wei, Haonan Yu, Haichao Zhang, Wei Xu, Ying Wu
MetaView: Few-shot Active Object Recognition. CoRR (2021)
Haonan Yu, Wei Xu, Haichao Zhang
TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control. CoRR (2021)
Haonan Yu, Wei Xu, Haichao Zhang
TAAC: Temporally Abstract Actor-Critic for Continuous Control. NeurIPS (2021)
Jesse Zhang, Haonan Yu, Wei Xu
Hierarchical Reinforcement Learning by Discovering Intrinsic Options. ICLR (2021)
Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. ICLR (2020)
Baicheng Yan, Limin Xiao, Guangjun Qin, Zhang Yang, Bin Dong, Haonan Yu, Hongyu Wu
QTMS: A quadratic time complexity topology-aware process mapping method for large-scale parallel applications on shared HPC system. Parallel Comput. (2020)
Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston
Why Build an Assistant in Minecraft? CoRR (2019)
Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. CoRR (2019)
Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
EPNAS: Efficient Progressive Neural Architecture Search. CoRR (2019)
Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV (2019)
Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. CoRR (2019)
Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam
CraftAssist: A Framework for Dialogue-enabled Interactive Agents. CoRR (2019)
Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. NeurIPS (2019)
Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. CoRL (2018)
Haonan Yu, Haichao Zhang, Wei Xu
Interactive Grounded Language Acquisition and Generalization in a 2D World. ICLR (Poster) (2018)
Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos
Resource-Efficient Neural Architect. CoRR (2018)
Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. CoRR (2018)
Haichao Zhang, Haonan Yu, Wei Xu
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. ACL (1) (2018)
Daniel Paul Barrett, Scott Alan Bronikowski, Haonan Yu, Jeffrey Mark Siskind
Driving Under the Influence (of Language). IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Haonan Yu, Haichao Zhang, Wei Xu
Interactive Grounded Language Acquisition and Generalization in a 2D World. CoRR (2018)
Haichao Zhang, Haonan Yu, Wei Xu
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. CoRR (2018)
Haonan Yu, Haichao Zhang, Wei Xu
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment. CoRR (2017)
Haonan Yu, Jeffrey Mark Siskind
Sentence Directed Video Object Codiscovery. Int. J. Comput. Vis. 124 (3) (2017)
Haichao Zhang, Haonan Yu, Wei Xu
Listen, Interact and Talk: Learning to Speak via Interaction. CoRR (2017)
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. CVPR (2016)
Daniel Paul Barrett, Ran Xu, Haonan Yu, Jeffrey Mark Siskind
Collecting and annotating the large continuous action dataset. Mach. Vis. Appl. 27 (7) (2016)
Daniel Paul Barrett, Ran Xu, Haonan Yu, Jeffrey Mark Siskind
Collecting and Annotating the Large Continuous Action Dataset. CoRR (2015)
Haonan Yu, N. Siddharth, Andrei Barbu, Jeffrey Mark Siskind
A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video. J. Artif. Intell. Res. 52 (2015)
Daniel Paul Barrett, Scott Alan Bronikowski, Haonan Yu, Jeffrey Mark Siskind
Robot Language Learning, Generation, and Comprehension. CoRR (2015)
Haonan Yu, Jeffrey Mark Siskind
Sentence Directed Video Object Codetection. CoRR (2015)
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu
Video Paragraph Captioning using Hierarchical Recurrent Neural Networks. CoRR (2015)
Haonan Yu, Jeffrey Mark Siskind
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information. AAAI (2015)
Haonan Yu, Daniel Paul Barrett, Jeffrey Mark Siskind
A Faster Method for Tracking and Scoring Videos Corresponding to Sentences. CoRR (2014)
Haonan Yu, Jeffrey Mark Siskind
Discriminative Training: Learning to Describe Video with Sentences, from Video Described with Sentences. CoRR (2013)
Yu Cao, Daniel Paul Barrett, Andrei Barbu, Siddharth Narayanaswamy, Haonan Yu, Aaron Michaux, Yuewei Lin, Sven J. Dickinson, Jeffrey Mark Siskind, Song Wang
Recognize Human Activities from Partially Observed Videos. CVPR (2013)
Haonan Yu, Jeffrey Mark Siskind
Grounded Language Learning from Video Described with Sentences. ACL (1) (2013)
Tiejun Huang, Yonghong Tian, Jia Li, Haonan Yu
Salient region detection and segmentation for general object recognition and image understanding. Sci. China Inf. Sci. 54 (12) (2011)
Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang
Automatic interesting object extraction from images using complementary saliency maps. ACM Multimedia (2010)