Exploring the Different Combinations of Technological Capability and Technology Management Capability in Different Stages of New Product Development. - Yexin Liu; Weiwei Wu 003; Pengbin Gao; Kangjia Liu (IEEE Access, 2019)

The Impacts of Technology Management on Product Innovation: The Role of Technological Capability. - Yexin Liu; Weiwei Wu 003; Yan Wang (IEEE Access, 2020)

A novel MCF-Net: Multi-level context fusion network for 2D medical image segmentation. - Lizhu Liu; Yexin Liu; Jian Zhou; Cheng Guo; Huigao Duan (Comput. Methods Programs Biomed., 2022)

FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image Segmentation. - Yexin Liu; Jian Zhou; Lizhu Liu; Zhengjia Zhan; Yueqiang Hu; Yongqing Fu; Huigao Duan (IEEE Trans. Medical Imaging, 2022)

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. - Xu Zheng 002; Jinjing Zhu; Yexin Liu; Zidong Cao; Chong Fu 001; Lin Wang 025 (CVPR, 2023)

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks. - Xu Zheng 002; Yexin Liu; Yunfan Lu; Tongyan Hua; Tianbo Pan; Weiming Zhang 001; Dacheng Tao; Lin Wang 025 (CoRR, 2023)

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-Aware Panoramic Semantic Segmentation. - Weiming Zhang; Yexin Liu; Xu Zheng; Lin Wang (CVPR, 2024)

Efficient Multimodal Learning from Data-centric Perspective. - Muyang He; Yexin Liu; Boya Wu; Jianhao Yuan; Yueze Wang; Tiejun Huang 001; Bo Zhao 015 (CoRR, 2024)

SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model. - Bin Cao; Jianhao Yuan; Yexin Liu; Jian Li; Shuyang Sun; Jing Liu; Bo Zhao (CoRR, 2024)

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation. - Weiming Zhang 001; Yexin Liu; Xu Zheng 002; Lin Wang 025 (CoRR, 2024)

Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment. - Yexin Liu; Weiming Zhang 001; Athanasios V. Vasilakos; Lin Wang 025 (CoRR, 2024)

MYCloth: Towards Intelligent and Interactive Online T-Shirt Customization based on User's Preference. - Yexin Liu; Lin Wang (CoRR, 2024)

Learning High-Quality Navigation and Zooming on Omnidirectional Images in Virtual Reality. - Zidong Cao; Zhan Wang 001; Yexin Liu; Yan-Pei Cao; Ying Shan; Wei Zeng 004; Lin Wang 025 (CoRR, 2024)

Evaluating large language models in medical applications: a survey. - Xiaolan Chen; Jiayang Xiang; Shanfu Lu; Yexin Liu; Mingguang He; Danli Shi (CoRR, 2024)

Efficient Multimodal Large Language Models: A Survey. - Yizhang Jin; Jian Li 062; Yexin Liu; Tianjun Gu; Kai Wu; Zhengkai Jiang 001; Muyang He; Bo Zhao 015; Xin Tan 002; Zhenye Gan; Yabiao Wang; Chengjie Wang; et al. (CoRR, 2024)

EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging. - Danli Shi; Weiyi Zhang 004; Xiaolan Chen; Yexin Liu; Jiancheng Yang; Siyu Huang; Yih Chung Tham; Yingfeng Zheng; Mingguang He (CoRR, 2024)

Seeing Clearly, Answering Incorrectly: A Multimodal Robustness Benchmark for Evaluating MLLMs on Leading Questions. - Yexin Liu; Zhengyang Liang; Yueze Wang; Muyang He; Jian Li; Bo Zhao (CoRR, 2024)

GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation. - Weiming Zhang; Yexin Liu; Xu Zheng; Lin Wang (CoRR, 2024)

VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation. - Mingzhe Zheng; Yongqi Xu; Haojian Huang; Xuran Ma; Yexin Liu; Wenjie Shu; Yatian Pang; Feilong Tang; Qifeng Chen; Harry Yang; Ser-Nam Lim (CoRR, 2024)

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation. - Yexin Liu; Weiming Zhang 001; Guoyang Zhao; Jinjing Zhu; Athanasios V. Vasilakos; Lin Wang 025 (IEEE Trans. Artif. Intell., 2024)

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. - Haochen Xue; Feilong Tang; Ming Hu; Yexin Liu; Qidong Huang; Yulong Li; Chengzhi Liu; Zhongxing Xu; Chong Zhang 006; Chun-Mei Feng; Yutong Xie 001; Imran Razzak; et al. (ACL (1), 2025)

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly. - Yexin Liu; Zhengyang Liang; Yueze Wang; Xianfeng Wu; Feilong Tang; Muyang He; Jian Li 062; Zheng Liu 011; Harry Yang; Sernam Lim; Bo Zhao 015 (CVPR, 2025)

LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization. - Xianfeng Wu; Yajing Bai; Haoze Zheng; Harold Haodong Chen; Yexin Liu; Zihao Wang; Xuran Ma; Wenjie Shu; Xianzu Wu; Harry Yang; Ser-Nam Lim (CoRR, 2025)

Temporal Regularization Makes Your Video Generator Stronger. - Harold Haodong Chen; Haojian Huang; Xianfeng Wu; Yexin Liu; Yajing Bai; Wenjie Shu; Harry Yang; Ser-Nam Lim (CoRR, 2025)

ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos. - Haolin Yang; Feilong Tang; Ming Hu; Yulong Li; Yexin Liu; Zelin Peng; Junjun He; Zongyuan Ge; Imran Razzak (CoRR, 2025)

Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models. - Xuran Ma; Yexin Liu; Yaofu Liu; Xianfeng Wu; Mingzhe Zheng; Zihao Wang; Ser-Nam Lim; Harry Yang (CoRR, 2025)

When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding. - Yan Shu; Hangui Lin; Yexin Liu; Yan Zhang; Gangyan Zeng; Yan Li; Yu Zhou 015; Ser-Nam Lim; Harry Yang; Nicu Sebe (CoRR, 2025)

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment. - Weiming Zhang; Dingwen Xiao; Aobotao Dai; Yexin Liu; Tianbo Pan; Shiqi Wen; Lei Chen; Lin Wang (CoRR, 2025)

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study. - Xianghong Fang; Litao Guo; Hengchao Chen; Yuxuan Zhang; XiaofanXia; Dingjie Song; Yexin Liu; Hao Wang; Harry Yang; Yuan Yuan; Qiang Sun (CoRR, 2025)

OmniGen2: Exploration to Advanced Multimodal Generation. - Chenyuan Wu; Pengfei Zheng; Ruiran Yan; Shitao Xiao; Xin Luo; Yueze Wang; Wanli Li; Xiyan Jiang; Yexin Liu; Junjie Zhou 001; Ze Liu; Ziyi Xia; et al. (CoRR, 2025)

TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis. - Shunian Chen; Hejin Huang; Yexin Liu; Zihan Ye; Pengcheng Chen; Chenghao Zhu; Michael Guan; Rongsheng Wang; Junying Chen; Guanbin Li; Ser-Nam Lim; Harry Yang; et al. (CoRR, 2025)