WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmark for Autonomous Driving on Water Surfaces. - Shanliang Yao; Runwei Guan; Zhaodong Wu; Yi Ni; Zixian Zhang; Zile Huang; Xiaohui Zhu; Yutao Yue; Yong Yue 001; Hyungjoon Seo; Ka Lok Man (CoRR, 2023)

ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework. - Chengzhi Liu; Zihong Luo; Yifei Bi; Zile Huang; Dong Shu; Jiheng Hou; Hongchen Wang; Kaiyu Liang (ICANN (6), 2024)

MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. - Chengzhi Liu; Zihong Luo; Zheng Tao; Chenghao Liu; Yitao Xu; Zile Huang (ICPR (14), 2024)

Better Sampling, towards Better End-to-end Small Object Detection. - Zile Huang; Chong Zhang 006; Mingyu Jin; Fangyu Wu 001; Chengzhi Liu; Xiaobo Jin (CoRR, 2024)

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces. - Shanliang Yao; Runwei Guan; Zhaodong Wu; Yi Ni; Zile Huang; Ryan Wen Liu; Yong Yue 001; Weiping Ding 001; Eng Gee Lim; Hyungjoon Seo; Ka Lok Man; Jieming Ma; et al. (IEEE Trans. Intell. Transp. Syst., 2024)

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. - Chengzhi Liu; Zile Huang; Zhe Chen; Feilong Tang; Yu Tian; Zhongxing Xu; Zihong Luo; Yalin Zheng; Yanda Meng (AAAI, 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs. - Feilong Tang; Zile Huang; Chengzhi Liu; Qiang Sun; Harry Yang; Ser-Nam Lim (ICLR, 2025)