Haozhe Lin

25 papers A* 8A 4Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection.
AAAI
Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo
2025 J jnl
DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video.
CoRR
Hao Wen, Hongbo Kang, Jian Ma, Jing Huang, Yuanwang Yang, Haozhe Lin, Yu-Kun Lai, Kun Li
2025 J jnl
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer.
CoRR
Wenxi Li, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang
2024 J jnl
Bridging the gap between object detection in close-up and high-resolution wide shots.
Comput. Vis. Image Underst.
Wenxi Li, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang
2024 J jnl
Cross-domain Chinese Sentence Pattern Parsing.
CoRR
Jingsi Yu, Cunliang Kong, Liner Yang, Meishan Zhang, Lin Zhu, Yujie Wang, Haozhe Lin, Maosong Sun, Erhong Yang
2024 J jnl
Crowd3D++: Robust Monocular Crowd Reconstruction with Upright Space.
CoRR
Jing Huang, Hao Wen, Tianyi Zhou, Haozhe Lin, Yu-Kun Lai, Kun Li
2024 J jnl
From Text to CQL: Bridging Natural Language and Corpus Search Engine.
CoRR
Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang
2024 A* conf
GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes.
CVPR
Haozhe Lin, Chunyu Wei, Li He, Yuchen Guo, Yunqi Zhao, Shanglong Li, Lu Fang
2024 — conf
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images.
ECML/PKDD (2)
Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang
2024 J jnl
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images.
CoRR
Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang
2024 A conf
SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation.
ECAI
Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang
2024 A* conf
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer.
ACM Multimedia
Wenxi Li, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang
2024 A* conf
When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach.
CVPR
M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang
2023 A* conf
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image.
CVPR
Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li
2023 J jnl
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image.
CoRR
Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li
2023 A* conf
DartBlur: Privacy Preservation with Detection Artifact Suppression.
CVPR
Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang
2023 J jnl
Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services.
IEEE Trans. Serv. Comput.
Ruyu Yan, Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai
2023 A* conf
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation.
ICCV
Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang
2023 J jnl
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks.
IEEE Trans. Serv. Comput.
Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz
2022 J jnl
MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation.
IEEE Trans. Serv. Comput.
Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai
2021 A* conf
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions.
WWW
Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai
2021 A conf
Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network.
ICWS
Ruyu Yan, Yushun Fan, Jia Zhang, Junqi Zhang, Haozhe Lin
2020 A conf
A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph.
ICWS
Chunyu Wei, Yushun Fan, Jia Zhang, Haozhe Lin
2019 — conf
QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation.
SCC
Xing Wu, Yushun Fan, Jia Zhang, Haozhe Lin, Junqi Zhang
2018 A conf
PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation.
ICWS
Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai