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Haonan Yu
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2020 – today
- 2024
- [j9]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: 6174-6188 (2024) - [j8]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: 1-14 (2024) - [c19]Haonan Yu, Wei Xu:
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. ICLR 2024 - [i25]Haonan Yu, Wei Xu:
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. CoRR abs/2401.11110 (2024) - 2023
- [c18]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: 429-441 - [c17]Haichao Zhang, Wei Xu, Haonan Yu:
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. ICLR 2023 - [i24]Haichao Zhang, Wei Xu, Haonan Yu:
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. CoRR abs/2302.00935 (2023) - 2022
- [c16]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: 577-589 - [c15]Haichao Zhang, Wei Xu, Haonan Yu:
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. ICLR 2022 - [c14]Haonan Yu, Wei Xu, Haichao Zhang:
Towards Safe Reinforcement Learning with a Safety Editor Policy. NeurIPS 2022 - [i23]Haichao Zhang, Wei Xu, Haonan Yu:
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. CoRR abs/2201.09765 (2022) - [i22]Haonan Yu, Wei Xu, Haichao Zhang:
Towards Safe Reinforcement Learning with a Safety Editor Policy. CoRR abs/2201.12427 (2022) - [i21]Haonan Yu, Haichao Zhang, Wei Xu:
Do You Need the Entropy Reward (in Practice)? CoRR abs/2201.12434 (2022) - 2021
- [j7]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): 383-396 (2021) - [c13]Jesse Zhang, Haonan Yu, Wei Xu:
Hierarchical Reinforcement Learning by Discovering Intrinsic Options. ICLR 2021 - [c12]Haonan Yu, Wei Xu, Haichao Zhang:
TAAC: Temporally Abstract Actor-Critic for Continuous Control. NeurIPS 2021: 29021-29033 - [i20]Jesse Zhang, Haonan Yu, Wei Xu:
Hierarchical Reinforcement Learning By Discovering Intrinsic Options. CoRR abs/2101.06521 (2021) - [i19]Wei Wei, Haonan Yu, Haichao Zhang, Wei Xu, Ying Wu:
MetaView: Few-shot Active Object Recognition. CoRR abs/2103.04242 (2021) - [i18]Haonan Yu, Wei Xu, Haichao Zhang:
TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control. CoRR abs/2104.06521 (2021) - 2020
- [j6]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. 94-95: 102637 (2020) - [c11]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
2010 – 2019
- 2019
- [c10]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: 1764-1773 - [c9]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: 4933-4943 - [i17]Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos:
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. CoRR abs/1906.02768 (2019) - [i16]Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian:
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. CoRR abs/1906.02773 (2019) - [i15]Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos:
EPNAS: Efficient Progressive Neural Architecture Search. CoRR abs/1907.04648 (2019) - [i14]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 abs/1907.08584 (2019) - [i13]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 abs/1907.09273 (2019) - 2018
- [j5]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): 2668-2683 (2018) - [c8]Haichao Zhang, Haonan Yu, Wei Xu:
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. ACL (1) 2018: 2609-2619 - [c7]Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu:
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. CoRL 2018: 81-98 - [c6]Haonan Yu, Haichao Zhang, Wei Xu:
Interactive Grounded Language Acquisition and Generalization in a 2D World. ICLR (Poster) 2018 - [i12]Haonan Yu, Haichao Zhang, Wei Xu:
Interactive Grounded Language Acquisition and Generalization in a 2D World. CoRR abs/1802.01433 (2018) - [i11]Haichao Zhang, Haonan Yu, Wei Xu:
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. CoRR abs/1805.00462 (2018) - [i10]Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu:
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. CoRR abs/1805.08329 (2018) - [i9]Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos:
Resource-Efficient Neural Architect. CoRR abs/1806.07912 (2018) - 2017
- [j4]Haonan Yu
, Jeffrey Mark Siskind
:
Sentence Directed Video Object Codiscovery. Int. J. Comput. Vis. 124(3): 312-334 (2017) - [i8]Haonan Yu, Haichao Zhang, Wei Xu:
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment. CoRR abs/1703.09831 (2017) - [i7]Haichao Zhang, Haonan Yu, Wei Xu:
Listen, Interact and Talk: Learning to Speak via Interaction. CoRR abs/1705.09906 (2017) - 2016
- [j3]Daniel Paul Barrett, Ran Xu, Haonan Yu, Jeffrey Mark Siskind
:
Collecting and annotating the large continuous action dataset. Mach. Vis. Appl. 27(7): 983-995 (2016) - [c5]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. CVPR 2016: 4584-4593 - 2015
- [j2]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: 601-713 (2015) - [c4]Haonan Yu, Jeffrey Mark Siskind:
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information. AAAI 2015: 3855-3863 - [i6]Haonan Yu, Jeffrey Mark Siskind:
Sentence Directed Video Object Codetection. CoRR abs/1506.02059 (2015) - [i5]Daniel Paul Barrett, Scott Alan Bronikowski, Haonan Yu, Jeffrey Mark Siskind:
Robot Language Learning, Generation, and Comprehension. CoRR abs/1508.06161 (2015) - [i4]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning using Hierarchical Recurrent Neural Networks. CoRR abs/1510.07712 (2015) - [i3]Daniel Paul Barrett, Ran Xu, Haonan Yu, Jeffrey Mark Siskind:
Collecting and Annotating the Large Continuous Action Dataset. CoRR abs/1511.05914 (2015) - 2014
- [i2]Haonan Yu, Daniel Paul Barrett, Jeffrey Mark Siskind:
A Faster Method for Tracking and Scoring Videos Corresponding to Sentences. CoRR abs/1411.4064 (2014) - 2013
- [c3]Haonan Yu, Jeffrey Mark Siskind:
Grounded Language Learning from Video Described with Sentences. ACL (1) 2013: 53-63 - [c2]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: 2658-2665 - [i1]Haonan Yu, Jeffrey Mark Siskind:
Discriminative Training: Learning to Describe Video with Sentences, from Video Described with Sentences. CoRR abs/1306.5263 (2013) - 2011
- [j1]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): 2461-2470 (2011) - 2010
- [c1]Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang:
Automatic interesting object extraction from images using complementary saliency maps. ACM Multimedia 2010: 891-894
Coauthor Index
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last updated on 2024-08-08 20:12 CEST by the dblp team
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