Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy. - Jinfa Yang; Xianghua Ying; Yongjie Shi; Xin Tong 007; Ruibin Wang; Taiyan Chen; Bowei Xing (ACL (Findings), 2022)

Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations. - Jinfa Yang; Xianghua Ying; Yongjie Shi; Xin Tong 007; Ruibin Wang; Taiyan Chen; Bowei Xing (COLING, 2022)

ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud. - Ruibin Wang; Xianghua Ying; Bowei Xing; Jinfa Yang (AAAI, 2023)

Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation. - Bowei Xing; Xianghua Ying; Ruibin Wang; Jinfa Yang; Taiyan Chen (AAAI, 2023)

Improving point cloud classification and segmentation via parametric veronese mapping. - Ruibin Wang; Xianghua Ying; Bowei Xing; Xin Tong 007; Taiyan Chen; Jinfa Yang; Yongjie Shi (Pattern Recognit., 2023)

VPDETR: End-to-End Vanishing Point DEtection TRansformers. - Taiyan Chen; Xianghua Ying; Jinfa Yang; Ruibin Wang; Ruohao Guo; Bowei Xing; Ji Shi 003 (AAAI, 2024)

Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation. - Bowei Xing; Xianghua Ying; Ruibin Wang; Ruohao Guo; Ji Shi 003; Wenzhen Yue (ECCV (50), 2024)

Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation. - Bowei Xing; Xianghua Ying; Ruibin Wang (ICRA, 2024)

Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods. - Wenzhen Yue; Xianghua Ying; Ruohao Guo; DongDong Chen; Ji Shi 003; Bowei Xing; Yuqing Zhu 001; Taiyan Chen (IJCAI, 2024)

Instance-Level Panoramic Audio-Visual Saliency Detection and Ranking. - Ruohao Guo; Dantong Niu; Liao Qu; Yanyu Qi; Ji Shi 003; Wenzhen Yue; Bowei Xing; Taiyan Chen; Xianghua Ying (ACM Multimedia, 2024)

Open-Vocabulary Audio-Visual Semantic Segmentation. - Ruohao Guo; Liao Qu; Dantong Niu; Yanyu Qi; Wenzhen Yue; Ji Shi 003; Bowei Xing; Xianghua Ying (ACM Multimedia, 2024)

Rectifying self-training with neighborhood consistency and proximity for source-free domain adaptation. - Bowei Xing; Xianghua Ying; Ruibin Wang (Neurocomputing, 2024)

Exploiting Temporal Correlations for 3D Human Pose Estimation. - Ruibin Wang; Xianghua Ying; Bowei Xing (IEEE Trans. Multim., 2024)

Tensor decompositions for temporal knowledge graph completion with time perspective. - Jinfa Yang; Xianghua Ying; Yongjie Shi; Bowei Xing (Expert Syst. Appl., 2024)

Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes. - Ji Shi 003; Xianghua Ying; Ruohao Guo; Bowei Xing; Wenzhen Yue (AAAI, 2025)

Audio-Visual Instance Segmentation. - Ruohao Guo; Xianghua Ying; Yaru Chen; Dantong Niu; Guangyao Li; Liao Qu; Yanyu Qi; Jinxing Zhou; Bowei Xing; Wenzhen Yue; Ji Shi 003; Qixun Wang 002; et al. (CVPR, 2025)

Improving Bird's Eye View based 3D object detection via Learnable Perspective View. - Ruibin Wang; Bowei Xing; Xianghua Ying (Expert Syst. Appl., 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting. - Wenzhen Yue; Yong Liu; Xianghua Ying; Bowei Xing; Ruohao Guo; Ji Shi 003 (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain. - Wenzhen Yue; Yong Liu; Haoxuan Li; Hao Wang; Xianghua Ying; Ruohao Guo; Bowei Xing; Shi Jin 002 (CoRR, 2025)