Lu, Kai

15 publications

AAAI 2025 Adaptive Dual Guidance Knowledge Distillation Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu

ICML 2025 Agent Reviewers: Domain-Specific Multimodal Agents with Shared Memory for Paper Review Kai Lu, Shixiong Xu, Jinqiu Li, Kun Ding, Gaofeng Meng

NeurIPS 2025 COOPERA: Continual Open-Ended Human-Robot Assistance Chenyang Ma, Kai Lu, Ruta Desai, Xavier Puig, Andrew Markham, Niki Trigoni

AAAI 2025 Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? Yang Liu, Xiaoping Wang, Kai Lu

AAAI 2025 RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations Bin Zhang, Jinggang Chen, Xiaoyang Qu, Guokuan Li, Kai Lu, Jiguang Wan, Jing Xiao, Jianzong Wang

NeurIPS 2024 SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models Through Prompting and Interacting 3D Priors Chenyang Ma, Kai Lu, Ta-Ying Cheng, Niki Trigoni, Andrew Markham

NeurIPS 2023 DynPoint: Dynamic Neural Point for View Synthesis Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni

ECML-PKDD 2023 Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu

NeurIPS 2023 Multi-Body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni

ECML-PKDD 2021 An Optimized NL2SQL System for Enterprise Data Mart Kaiwen Dong, Kai Lu, Xin Xia, David A. Cieslak, Nitesh V. Chawla

AAAI 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

IJCAI 2019 Adversarial Examples for Graph Data: Deep Insights into Attack and Defense Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu

AAAI 2019 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

AAAI 2018 Metric-Based Auto-Instructor for Learning Mixed Data Representation Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

IJCAI 2017 Embedding-Based Representation of Categorical Data by Hierarchical Value Coupling Learning Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao