Cellular automata simulation of traffic spillback and queue-jumping behaviors at off-ramp on urban expressways in Shanghai. - Bin Shang; Shun Fang (ICSAI, 2014)

Online Matrix Factorization Hashing for Large-Scale Image Retrieval. - Lei Wang; Quan Wang 006; Di Wang 011; Bo Wan; Bin Shang (Big Data (CCF), 2018)

Semi-paired and semi-supervised multimodal hashing via cross-modality label propagation. - Di Wang 011; Bin Shang; Quan Wang 006; Bo Wan (Multim. Tools Appl., 2019)

Knowledge Graph Completion with Information Adaptation and Refinement. - Yifan Liu; Bin Shang; Chenxin Wang; Yinliang Zhao (ADMA (2), 2023)

Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. - Bin Shang; Yinliang Zhao; Di Wang 011; Jun Liu 002 (SIGIR, 2023)

A contrastive knowledge graph embedding model with hierarchical attention and dynamic completion. - Bin Shang; Yinliang Zhao; Jun Liu; Yifan Liu; Chenxin Wang (Neural Comput. Appl., 2023)

Depth Perception Assessment of 3D Videos Based on Stereoscopic and Spatial Orientation Structural Features. - Wenfei Wan; Dengjia Huang; Bin Shang; Shengyu Wei; Hong Ren Wu; Jinjian Wu; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2023)

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation. - Bin Shang; Yinliang Zhao; Jun Liu; Di Wang (AAAI, 2024)

Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion. - Bin Shang; Yinliang Zhao; Jun Liu; Di Wang (AAAI, 2024)

Knowledge graph representation learning with relation-guided aggregation and interaction. - Bin Shang; Yinliang Zhao; Jun Liu 002 (Inf. Process. Manag., 2024)

Learnable convolutional attention network for knowledge graph completion. - Bin Shang; Yinliang Zhao; Jun Liu 002 (Knowl. Based Syst., 2024)

Attention-based exploitation and exploration strategy for multi-hop knowledge graph reasoning. - Bin Shang; Yinliang Zhao; Yifan Liu; Chenxin Wang (Inf. Sci., 2024)

Fast prediction of odor concentration along pig manure chain based on machine learning: Monitoring 20 instead of over 100 odorous substances. - Tiantian Cao; Yunhao Zheng; Bin Shang; Qunxin Cong; Qitao Cao; Hongmin Dong (Comput. Electron. Agric., 2025)