Interpretable End-to-End Driving Model for Implicit Scene Understanding. - Yiyang Sun; Xiaonian Wang; Yangyang Zhang; Jiagui Tang; Xiaqiang Tang; Jing Yao (ITSC, 2023)

FGNet: A Graph-Based Motion Forecasting Method From a Future Perspective. - Xiaqiang Tang; Yafeng Guo; Yiyang Sun; Siyuan Hu; Jun Wang 025 (IV, 2023)

MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes. - Xiaqiang Tang; Weigao Sun; Siyuan Hu; Yiyang Sun; Yafeng Guo (IEEE Robotics Autom. Lett., 2024)

Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters. - Weigao Sun; Yongtuo Liu; Xiaqiang Tang; Xiaoyu Mo (AAAI, 2025)

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. - Xiaqiang Tang; Jian Li; Nan Du; Sihong Xie (AAAI, 2025)

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. - Xiaqiang Tang; Jian Li; Keyu Hu; Nan Du; Xiaolong Li; Xi Zhang; Weigao Sun; Sihong Xie (ACL (1), 2025)

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity. - Xiaqiang Tang; Qiang Gao; Jian Li; Nan Du; Qi Li; Sihong Xie (COLING, 2025)

Comba: Improving Bilinear RNNs with Closed-loop Control. - Jiaxi Hu; Yongqi Pan; Jusen Du; Disen Lan; Xiaqiang Tang; Qingsong Wen; Yuxuan Liang; Weigao Sun (CoRR, 2025)