Automatic interesting object extraction from images using complementary saliency maps. - Haonan Yu; Jia Li 003; Yonghong Tian 001; Tiejun Huang 001 (ACM Multimedia, 2010)

Salient region detection and segmentation for general object recognition and image understanding. - Tiejun Huang 001; Yonghong Tian 001; Jia Li 003; Haonan Yu (Sci. China Inf. Sci., 2011)

Grounded Language Learning from Video Described with Sentences. - Haonan Yu; Jeffrey Mark Siskind (ACL (1), 2013)

Recognize Human Activities from Partially Observed Videos. - Yu Cao 003; Daniel Paul Barrett; Andrei Barbu; Siddharth Narayanaswamy; Haonan Yu; Aaron Michaux; Yuewei Lin; Sven J. Dickinson; Jeffrey Mark Siskind; Song Wang 002 (CVPR, 2013)

Discriminative Training: Learning to Describe Video with Sentences, from Video Described with Sentences. - Haonan Yu; Jeffrey Mark Siskind (CoRR, 2013)

A Faster Method for Tracking and Scoring Videos Corresponding to Sentences. - Haonan Yu; Daniel Paul Barrett; Jeffrey Mark Siskind (CoRR, 2014)

Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information. - Haonan Yu; Jeffrey Mark Siskind (AAAI, 2015)

Robot Language Learning, Generation, and Comprehension. - Daniel Paul Barrett; Scott Alan Bronikowski; Haonan Yu; Jeffrey Mark Siskind (CoRR, 2015)

Sentence Directed Video Object Codetection. - Haonan Yu; Jeffrey Mark Siskind (CoRR, 2015)

A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video. - Haonan Yu; N. Siddharth 001; Andrei Barbu; Jeffrey Mark Siskind (J. Artif. Intell. Res., 2015)

Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. - Haonan Yu; Jiang Wang 001; Zhiheng Huang; Yi Yang 007; Wei Xu 017 (CVPR, 2016)

Collecting and annotating the large continuous action dataset. - Daniel Paul Barrett; Ran Xu; Haonan Yu; Jeffrey Mark Siskind (Mach. Vis. Appl., 2016)

A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment. - Haonan Yu; Haichao Zhang 001; Wei Xu 017 (CoRR, 2017)

Listen, Interact and Talk: Learning to Speak via Interaction. - Haichao Zhang 001; Haonan Yu; Wei Xu 017 (CoRR, 2017)

Sentence Directed Video Object Codiscovery. - Haonan Yu; Jeffrey Mark Siskind (Int. J. Comput. Vis., 2017)

Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. - Haichao Zhang 001; Haonan Yu; Wei Xu 017 (ACL (1), 2018)

Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. - Haonan Yu; Xiaochen Lian; Haichao Zhang 001; Wei Xu 017 (CoRL, 2018)

Interactive Grounded Language Acquisition and Generalization in a 2D World. - Haonan Yu; Haichao Zhang 001; Wei Xu 017 (ICLR (Poster), 2018)

Resource-Efficient Neural Architect. - Yanqi Zhou; Siavash Ebrahimi; Sercan Ömer Arik; Haonan Yu; Hairong Liu; Greg Diamos (CoRR, 2018)

Driving Under the Influence (of Language). - Daniel Paul Barrett; Scott Alan Bronikowski; Haonan Yu; Jeffrey Mark Siskind (IEEE Trans. Neural Networks Learn. Syst., 2018)

Order-Aware Generative Modeling Using the 3D-Craft Dataset. - Zhuoyuan Chen; Kavya Srinet; Charles R. Qi; Haoqi Fan 001; Jerry Ma; Larry Zitnick; Demi Guo; Tong Xiao; Saining Xie; Xinlei Chen; Arthur Szlam; Shubham Tulsiani; et al. (ICCV, 2019)

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. - Ari S. Morcos; Haonan Yu; Michela Paganini; Yuandong Tian (NeurIPS, 2019)

EPNAS: Efficient Progressive Neural Architecture Search. - Yanqi Zhou; Peng Wang; Sercan Ömer Arik; Haonan Yu; Syed Zawad; Feng Yan 001; Greg Diamos (CoRR, 2019)

CraftAssist: A Framework for Dialogue-enabled Interactive Agents. - Jonathan Gray; Kavya Srinet; Yacine Jernite; Haonan Yu; Zhuoyuan Chen; Demi Guo; Siddharth Goyal; C. Lawrence Zitnick; Arthur Szlam (CoRR, 2019)

Why Build an Assistant in Minecraft? - Arthur Szlam; Jonathan Gray; Kavya Srinet; Yacine Jernite; Armand Joulin; Gabriel Synnaeve; Douwe Kiela; Haonan Yu; Zhuoyuan Chen; Siddharth Goyal; Demi Guo; Danielle Rothermel; et al. (CoRR, 2019)

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. - Haonan Yu; Sergey Edunov; Yuandong Tian; Ari S. Morcos (ICLR, 2020)

QTMS: A quadratic time complexity topology-aware process mapping method for large-scale parallel applications on shared HPC system. - Baicheng Yan; Limin Xiao; Guangjun Qin; Zhang Yang; Bin Dong 004; Haonan Yu; Hongyu Wu (Parallel Comput., 2020)

Hierarchical Reinforcement Learning by Discovering Intrinsic Options. - Jesse Zhang; Haonan Yu; Wei Xu 017 (ICLR, 2021)

TAAC: Temporally Abstract Actor-Critic for Continuous Control. - Haonan Yu; Wei Xu 017; Haichao Zhang 001 (NeurIPS, 2021)

MetaView: Few-shot Active Object Recognition. - Wei Wei; Haonan Yu; Haichao Zhang 001; Wei Xu 017; Ying Wu 001 (CoRR, 2021)

TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control. - Haonan Yu; Wei Xu 017; Haichao Zhang 001 (CoRR, 2021)

Interactive Hepatic Parenchymal Transection Simulation with Haptic Feedback. - Hongyu Wu; Haonan Yu; Fan Ye; Jian Sun; Yuan Gao; Ke Tan; Aimin Hao (Virtual Real. Intell. Hardw., 2021)

Data Mining Series Experiment Design and OJ System Development Based on R Language. - Xuqing Luo; Wei Zhou; Xiaoyan Jin; Yongji Wang; Binyue Cui; Yunbao Zhou; Haonan Yu (ICCSE (3), 2022)

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. - Haichao Zhang 001; Wei Xu 017; Haonan Yu (ICLR, 2022)

Towards Safe Reinforcement Learning with a Safety Editor Policy. - Haonan Yu; Wei Xu 017; Haichao Zhang 001 (NeurIPS, 2022)

Do You Need the Entropy Reward (in Practice)? - Haonan Yu; Haichao Zhang 001; Wei Xu 017 (CoRR, 2022)

Research on Traceability of Atmospheric Particulate Pollutants Based on Particle Size Data. - Haonan Yu; Yunbao Zhou; Yuhuan Jia; Jingjin Ma; Benfeng Pan; Wei Zhou; Yang Chen (ICCSE (1), 2023)

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. - Haichao Zhang 001; Wei Xu 017; Haonan Yu (ICLR, 2023)

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. - Haonan Yu; Wei Xu 017 (ICLR, 2024)

ConLUX: Concept-Based Local Unified Explanations. - Junhao Liu 002; Haonan Yu; Xin Zhang (CoRR, 2024)

Rethinking Building Change Detection: Dual-Frequency Learnable Visual Encoder With Multiscale Integration Network. - Chuan Xu; Haonan Yu; Liye Mei; Ying Wang 123; Jian Huang; Wenying Du; Shuangtong Jin; Xinliu Li; Minglin Yu; Wei Yang 043; Xinghua Li 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Hybrid Attention-Aware Transformer Network Collaborative Multiscale Feature Alignment for Building Change Detection. - Chuan Xu; Zhaoyi Ye; Liye Mei; Haonan Yu; Jianchen Liu; Yaxiaer Yalikun; Shuangtong Jin; Sheng Liu; Wei Yang 043; Cheng Lei (IEEE Trans. Instrum. Meas., 2024)

A multi-scale network with density-guided structural similarity loss and adaptive local maxima detection for crowd counting. - Jiachen Wang; Zuojing Zhang; Zhiming Zheng 007; Haonan Yu; Xuan Yu (Int. J. Model. Simul. Sci. Comput., 2025)

SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning. - Haichao Zhang 001; Haonan Yu; Le Zhao; Andrew Choi; Qinxun Bai; Break Yang; Wei Xu 017 (CoRR, 2025)

Accelerating Anchors via Specialization and Feature Transformation. - Haonan Yu; Junhao Liu 002; Xin Zhang (CoRR, 2025)

Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models. - Junhao Liu 002; Haonan Yu; Xin Zhang (CoRR, 2025)