Research on media player based on Android. - Shuangyan Jin; Haoliang Li; Yongfei Liu (FSKD, 2012)

Parallel Implementation of the Range-Doppler Radar Processing on a GPU Architecture. - Guanghui Zhao; Yongfei Liu; Shuping Zhang; Fangfang Shen; Yaohai Lin; Guangming Shi (ISPDC, 2016)

Service Requirement Pattern Elicitation Approach with a Case Study in Pharmaceutical Retail Service Market. - Zhiying Tu; Xiaofei Xu; Zhongjie Wang 003; Yongfei Liu; Hanchuan Xu (SCC, 2018)

Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. - Bo Wan; Desen Zhou; Yongfei Liu; Rongjie Li; Xuming He 001 (ICCV, 2019)

Energy Management Strategy of FCHEV Based on ECMS Method. - Yongfei Liu; Longlong Zhu; Fazhan Tao; Zhumu Fu (ICNCC, 2019)

Learning Cross-Modal Context Graph for Visual Grounding. - Yongfei Liu; Bo Wan; Xiaodan Zhu 001; Xuming He 001 (AAAI, 2020)

Part-Aware Prototype Network for Few-Shot Semantic Segmentation. - Yongfei Liu; Xiangyi Zhang; Songyang Zhang; Xuming He 001 (ECCV (9), 2020)

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles. - Changyin Dong; Hao Wang 059; Daiheng Ni; Yongfei Liu; Quan Chen (IEEE Access, 2020)

A Car-Following Data Collecting Method Based on Binocular Stereo Vision. - Yongfei Liu; Hao Wang 059; Changyin Dong; Quan Chen (IEEE Access, 2020)

GEM: A General Evaluation Benchmark for Multimodal Tasks. - Lin Su; Nan Duan; Edward Cui; Lei Ji 001; Chenfei Wu; Huaishao Luo; Yongfei Liu; Ming Zhong 015; Taroon Bharti; Arun Sacheti (ACL/IJCNLP (Findings), 2021)

Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. - Yongfei Liu; Bo Wan; Lin Ma 002; Xuming He 001 (CVPR, 2021)

Edge Federated Learning for Social Profit Optimality: A Cooperative Game Approach. - Wenyuan Zhang 002; Guangjun Wu; Yongfei Liu; Binbin Li 003; Jiawei Sun (CollaborateCom (1), 2022)

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. - Estelle Aflalo; Meng Du; Shao-Yen Tseng; Yongfei Liu; Chenfei Wu; Nan Duan; Vasudev Lal (CVPR, 2022)

Federated Learning-Based Intrusion Detection on Non-IID Data. - Yongfei Liu; Guangjun Wu; Wenyuan Zhang 002; Jun Li 085 (ICA3PP, 2022)

KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. - Yongfei Liu; Chenfei Wu; Shao-Yen Tseng; Vasudev Lal; Xuming He 001; Nan Duan (NAACL-HLT (Findings), 2022)

Intention-aware Feature Propagation Network for Interactive Segmentation. - Chuyu Zhang; Chuanyang Hu; Yongfei Liu; Xuming He 001 (CoRR, 2022)

Cascade Sparse Feature Propagation Network for Interactive Segmentation. - Chuyu Zhang; Hui Ren 003; Chuanyang Hu; Yongfei Liu; Xuming He 001 (BMVC, 2023)

Intrusion Detection Based on Sampling and Improved OVA Technique on Imbalanced Data. - Yongfei Liu; Hong Li 004; Wenyuan Zhang 002; Fei Lv 001; Shuaizong Si (CSCWD, 2023)

HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models. - Shan Ning; Longtian Qiu; Yongfei Liu; Xuming He 001 (CVPR, 2023)

Grounded Image Text Matching with Mismatched Relation Reasoning. - Yu Wu 014; Yana Wei; Haozhe Wang 002; Yongfei Liu; Sibei Yang; Xuming He 001 (ICCV, 2023)

Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. - Bo Wan; Yongfei Liu; Desen Zhou; Tinne Tuytelaars; Xuming He 001 (ICLR, 2023)

A New Federated Learning Model for Host Intrusion Detection System Under Non-IID Data. - Wei Guo; Zhiwei Yao; Yongfei Liu; Lanxue Zhang; Liangxiong Li; Tong Li 012; Bingzhen Wu (SMC, 2023)

Unveiling Patterns: A Study on Semi-Supervised Classification of Strip Surface Defects. - Yongfei Liu; Haoyu Yang; Chenwei Wu 006 (IEEE Access, 2023)

CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. - Xiaotian Han; Quanzeng You; Yongfei Liu; Wentao Chen; Huangjie Zheng; Khalil Mrini; Xudong Lin 007; Yiqi Wang 004; Bohan Zhai; Jianbo Yuan; Heng Wang; Hongxia Yang (CoRR, 2023)

Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. - Xiaohui Chen; Yongfei Liu; Yingxiang Yang; Jianbo Yuan; Quanzeng You; Li-Ping Liu 001; Hongxia Yang (CoRR, 2023)

Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. - Tianqi Chen; Yongfei Liu; Zhendong Wang; Jianbo Yuan; Quanzeng You; Hongxia Yang; Mingyuan Zhou (CoRR, 2023)

Efficient Precoding and Power Allocation Techniques for Maximizing Spectral Efficiency in Beamspace MIMO-NOMA Systems. - Yongfei Liu; Lu Si; Yuhuan Wang; Bo Zhang; Weizhang Xu (Sensors, 2023)

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. - Haogeng Liu; Quanzeng You; Yiqi Wang 004; Xiaotian Han; Bohan Zhai; Yongfei Liu; Wentao Chen; Yiren Jian; Yunzhe Tao; Jianbo Yuan; Ran He 001; Hongxia Yang (ACL (Findings), 2024)

An Experimental Evaluation of LLM on Image Classification. - Jiaxuan Wu; Xushuo Tang; Zhengyi Yang 001; Kongzhang Hao; Longbin Lai; Yongfei Liu (ADC, 2024)

FGAQ: Accelerating Graph Analytical Queries Using FPGA. - Yi Ding; Zhengyi Yang 001; Shunyang Li; Liuyi Chen; Haoran Ning; Kongzhang Hao; Yongfei Liu (APWeb/WAIM (5), 2024)

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yongfei Liu; Huaibo Huang; Ran He 001; Hongxia Yang (NeurIPS, 2024)

Enhancing Neo4j Query Efficiency with Seamless Integration of the GOpt Optimization Framework. - Bingqing Lyu; Xiaoli Zhou; Longbin Lai; Yufan Yang; Yunkai Lou; Yongfei Liu (VLDB Workshops, 2024)

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. - Yiqi Wang 004; Wentao Chen; Xiaotian Han; Xudong Lin 007; Haiteng Zhao; Yongfei Liu; Bohan Zhai; Jianbo Yuan; Quanzeng You; Hongxia Yang (CoRR, 2024)

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yiqi Wang 004; Bohan Zhai; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2024)

ViTAR: Vision Transformer with Any Resolution. - Qihang Fan; Quanzeng You; Xiaotian Han; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2024)

Just say what you want: only-prompting self-rewarding online preference optimization. - Ruijie Xu 006; Zhihan Liu; Yongfei Liu; Shipeng Yan; Zhaoran Wang 001; Zhi Zhang; Xuming He 001 (CoRR, 2024)

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. - Shenao Zhang; Zhihan Liu; Boyi Liu 001; Yufeng Zhang 007; Yingxiang Yang; Yongfei Liu; Liyu Chen; Tao Sun; Zhaoran Wang 001 (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

Evaluation on improved sparse signal reconstruction algorithm for trusted AI and DCS technology. - Yongfei Liu (J. Intell. Fuzzy Syst., 2024)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. - Kechi Zhang; Ge Li 001; Yihong Dong; Jingjing Xu; Jun Zhang; Jing Su; Yongfei Liu; Zhi Jin (ACL (1), 2025)

Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models. - Xushuo Tang; Yi Ding; Zhengyi Yang 001; Yin Chen; Yongrui Gu; Wenke Yang; Mingchen Ju; Xin Cao 001; Yongfei Liu; Wenjie Zhang 001 (CoRR, 2025)