PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation. - Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai (ICWS, 2018)

QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation. - Xing Wu; Yushun Fan; Jia Zhang 001; Haozhe Lin; Junqi Zhang (SCC, 2019)

A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph. - Chunyu Wei; Yushun Fan; Jia Zhang 001; Haozhe Lin (ICWS, 2020)

Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network. - Ruyu Yan; Yushun Fan; Jia Zhang 001; Junqi Zhang; Haozhe Lin (ICWS, 2021)

REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. - Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai (WWW, 2021)

MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation. - Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai (IEEE Trans. Serv. Comput., 2022)

DartBlur: Privacy Preservation with Detection Artifact Suppression. - Baowei Jiang; Bing Bai; Haozhe Lin; Yu Wang; Yuchen Guo; Lu Fang 001 (CVPR, 2023)

Crowd3D: Towards Hundreds of People Reconstruction from a Single Image. - Hao Wen; Jing Huang; Huili Cui; Haozhe Lin; Yu-Kun Lai; Lu Fang 001; Kun Li 001 (CVPR, 2023)

RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. - Haozhe Lin; Zequn Chen; Jinzhi Zhang; Bing Bai; Yu Wang; Ruqi Huang; Lu Fang 001 (ICCV, 2023)

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. - Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai; Zhenghua Xu 001; Thomas Lukasiewicz (IEEE Trans. Serv. Comput., 2023)

Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services. - Ruyu Yan; Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai (IEEE Trans. Serv. Comput., 2023)

GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes. - Haozhe Lin; Chunyu Wei; Li He; Yuchen Guo; Yunqi Zhao; Shanglong Li; Lu Fang 001 (CVPR, 2024)

When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach. - M. Tao; Bing Bai; Haozhe Lin; Heyuan Wang 001; Yu Wang; Lin Luo; Lu Fang 001 (CVPR, 2024)

SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation. - Wenxi Li; Ruxin Zhang; Haozhe Lin; Yuchen Guo; Chao Ma 004; Xiaokang Yang 001 (ECAI, 2024)

SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer. - Wenxi Li; Yuchen Guo; Jilai Zheng; Haozhe Lin; Chao Ma 004; Lu Fang 001; Xiaokang Yang 001 (ACM Multimedia, 2024)

SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images. - Wenxi Li; Ruxin Zhang; Haozhe Lin; Yuchen Guo; Chao Ma 004; Xiaokang Yang 001 (ECML/PKDD (2), 2024)

From Text to CQL: Bridging Natural Language and Corpus Search Engine. - Luming Lu; Jiyuan An; Yujie Wang; Liner Yang; Cunliang Kong; Zhenghao Liu 001; Shuo Wang 013; Haozhe Lin; Mingwei Fang; Yaping Huang; Erhong Yang (CoRR, 2024)

Cross-domain Chinese Sentence Pattern Parsing. - Jingsi Yu; Cunliang Kong; Liner Yang; Meishan Zhang; Lin Zhu; Yujie Wang; Haozhe Lin; Maosong Sun 001; Erhong Yang (CoRR, 2024)

Crowd3D++: Robust Monocular Crowd Reconstruction with Upright Space. - Jing Huang; Hao Wen; Tianyi Zhou; Haozhe Lin; Yu-Kun Lai; Kun Li 001 (CoRR, 2024)

Bridging the gap between object detection in close-up and high-resolution wide shots. - Wenxi Li; Yuchen Guo; Jilai Zheng; Haozhe Lin; Chao Ma 004; Lu Fang 001; Xiaokang Yang 001 (Comput. Vis. Image Underst., 2024)

DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video. - Hao Wen; Hongbo Kang; Jian Ma; Jing Huang; Yuanwang Yang; Haozhe Lin; Yu-Kun Lai; Kun Li 001 (CoRR, 2025)