Multi-modal Contextual Graph Neural Network for Text Visual Question Answering. - Yaoyuan Liang; Xin Wang 019; Xuguang Duan; Wenwu Zhu 001 (ICPR, 2020)

Defending Application Layer DDoS Attacks via Multidimensional Parallelotope. - Xiaolin Zhao; Hui Peng; Xiang Li 078; Yue Li; Jingfeng Xue; Yaoyuan Liang; Mingzhe Pei (Secur. Commun. Networks, 2020)

Unsupervised Super Resolution Reconstruction of Traffic Surveillance Vehicle Images. - Yaoyuan Liang (ICMLC, 2021)

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. - Shilong Liu; Shijia Huang; Feng Li 040; Hao Zhang 097; Yaoyuan Liang; Hang Su 006; Jun Zhu 001; Lei Zhang 001 (AAAI, 2023)

RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. - Jiashuo Fan; Yaoyuan Liang; Leyao Liu; Shao-Lun Huang; Lei Zhang (ICCV, 2023)

LUNA: Language as Continuing Anchors for Referring Expression Comprehension. - Yaoyuan Liang; Zhao Yang 002; Yansong Tang; Jiashuo Fan; Ziran Li; Jingang Wang; Philip H. S. Torr; Shao-Lun Huang (ACM Multimedia, 2023)

SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations. - Tao Shi; Xiao Liang; Yaoyuan Liang; Xinyi Tong 002; Shao-Lun Huang (CoRR, 2023)

Exploring Iterative Refinement with Diffusion Models for Video Grounding. - Xiao Liang; Tao Shi; Yaoyuan Liang; Te Tao; Shao-Lun Huang (CoRR, 2023)

RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. - Jiashuo Fan; Yaoyuan Liang; Leyao Liu; Shao-Lun Huang; Lei Zhang 001 (CoRR, 2023)

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. - Yaoyuan Liang; Xiao Liang; Yansong Tang; Zhao Yang 002; Ziran Li; Jingang Wang; Wenbo Ding; Shao-Lun Huang (AAAI, 2024)

Exploring Iterative Refinement with Diffusion Models for Video Grounding. - Xiao Liang; Tao Shi; Yaoyuan Liang; Te Tao; Shao-Luo Huang (ICME, 2024)

A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning. - Weida Wang; Tao Shi; Yaoyuan Liang; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation. - Yaoyuan Liang; Zhuojun Cai; Jian Xu; Guanbo Huang; Yiran Wang; Xiao Liang; Jiahao Liu; Ziran Li; Jingang Wang; Shao-Lun Huang (NeurIPS, 2024)

A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound. - Qingyue Zhang; Haohao Fu; Guanbo Huang; Yaoyuan Liang; Chang Chu; Tianren Peng; Yanru Wu; Qi Li; Yang Li; Shao-Lun Huang (CoRR, 2025)