Integrated Route and Charging Planning for Electric Vehicles Considering Nonlinear Charging Functions. - Ying Zhang; Qunfei Ma; Xin Zhang; Minghe Gao; Puhai Yang; Hui He; Xiang Hu; Baltabay Aliya (CSCWD, 2018)

An Automatic Approach to Extracting Geographic Information From Internet. - Ying Zhang 010; Minghe Gao; Xin Zhang; Puhai Yang; Qunfei Ma; Cheng Wang; Hui He; Xiang Hu (IEEE Access, 2018)

An Improved Electronic Image Motion Compensation (IMC) Method of Aerial Full-Frame-Type Area Array CCD Camera Based on the CCD Multiphase Structure and Hardware Implementation. - Hang Ren; Taotao Hu; YuLong Song; Hui Sun; Bochao Liu; Minghe Gao (Sensors, 2018)

A Predictive Data Feature Exploration-Based Air Quality Prediction Approach. - Ying Zhang 010; Yanhao Wang; Minghe Gao; Qunfei Ma; Jing Zhao; Rongrong Zhang; Qingqing Wang; Linyan Huang (IEEE Access, 2019)

Extracting geographic features from the Internet: A geographic information mining framework. - Ying Zhang 010; Qunfei Ma; Yao-Yi Chiang; Craig A. Knoblock; Xin Zhang; Puhai Yang; Minghe Gao; Xiang Hu (Knowl. Based Syst., 2019)

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. - Liyu Shi; Xiaoyan Li; Weiming Hu; Haoyuan Chen; Jing Chen; Zizhen Fan; Minghe Gao; Yujie Jing; Guotao Lu; Deguo Ma; Zhiyu Ma; Qingtao Meng; et al. (CoRR, 2022)

Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. - Minghe Gao; Chen Li 022; Jingyu Zhang; Haoyuan Chen; Weiming Hu; Hechen Yang; Liyu Shi; Yujie Jing; Shuaiyi Tian; Hongzan Sun; Marcin Grzegorzek; Xiaoyan Li (IEEE Big Data, 2023)

Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. - Juncheng Li 006; Minghe Gao; Longhui Wei; Siliang Tang; Wenqiao Zhang; Mengze Li 001; Wei Ji 008; Qi Tian 001; Tat-Seng Chua; Yueting Zhuang (ICCV, 2023)

Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions. - Juncheng Li 006; Kaihang Pan; Zhiqi Ge; Minghe Gao; Hanwang Zhang; Wei Ji 008; Wenqiao Zhang; Tat-Seng Chua; Siliang Tang; Yueting Zhuang (CoRR, 2023)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang; Wei Ji 008; Guoming Wang; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2023)

A comprehensive survey of intestine histopathological image analysis using machine vision approaches. - Yujie Jing; Chen Li 022; Tianming Du; Tao Jiang 014; Hongzan Sun; Jinzhu Yang; Liyu Shi; Minghe Gao; Marcin Grzegorzek; Xiaoyan Li (Comput. Biol. Medicine, 2023)

An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System. - Rui Li; Md Mamunur Rahaman; Xiaoyan Li; Hongzan Sun; Jinzhu Yang; Minghe Gao; Marcin Grzegorzek; Tao Jiang 014; Xinyu Huang 003; Chen Li 022 (ADMA (4), 2024)

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. - Juncheng Li 006; Kaihang Pan; Zhiqi Ge; Minghe Gao; Wei Ji 008; Wenqiao Zhang; Tat-Seng Chua; Siliang Tang; Hanwang Zhang; Yueting Zhuang (ICLR, 2024)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang; Wei Ji 008; Guoming Wang; Zheqi Lv; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (ACM Multimedia, 2024)

Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. - Minghe Gao; Shuang Chen; Liang Pang; Yuan Yao 013; Jisheng Dang; Wenqiao Zhang; Juncheng Li 006; Siliang Tang; Yueting Zhuang; Tat-Seng Chua (ACM Multimedia, 2024)

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms. - Minghe Gao; Wendong Bu; Bingchen Miao; Yang Wu; Yunfei Li; Juncheng Li 006; Siliang Tang; Qi Wu; Yueting Zhuang; Meng Wang (CoRR, 2024)

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining. - Zhiqi Ge; Juncheng Li 006; Xinglei Pang; Minghe Gao; Kaihang Pan; Wang Lin; Hao Fei 001; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2024)

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. - Haiyi Qiu; Minghe Gao; Long Qian; Kaihang Pan; Qifan Yu; Juncheng Li 006; Wenjie Wang 007; Siliang Tang; Yueting Zhuang; Tat-Seng Chua (CVPR, 2025)

Boosting Virtual Agent Learning and Reasoning: A Step-wise, Multi-dimensional, and Generalist Reward Model with Benchmark. - Bingchen Miao; Yang Wu; Minghe Gao; Qifan Yu; Wendong Bu; Wenqiao Zhang; Yunfei Li; Siliang Tang; Tat-Seng Chua; Juncheng Li 006 (CoRR, 2025)

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. - Minghe Gao; Xuqi Liu; Zhongqi Yue; Yang Wu; Shuang Chen; Juncheng Li 006; Siliang Tang; Fei Wu 001; Tat-Seng Chua; Yueting Zhuang (CoRR, 2025)

On Path to Multimodal Generalist: General-Level and General-Bench. - Hao Fei 001; Yuan Zhou 016; Juncheng Li 006; Xiangtai Li; Qingshan Xu 001; Bobo Li; Shengqiong Wu; Yaoting Wang; Junbao Zhou; Jiahao Meng; Qingyu Shi; Zhiyuan Zhou; et al. (CoRR, 2025)

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities. - Wendong Bu; Yang Wu; Qifan Yu; Minghe Gao; Bingchen Miao; Zhenkui Zhang; Kaihang Pan; Yunfei Li; Mengze Li 001; Wei Ji 008; Juncheng Li 006; Siliang Tang; et al. (CoRR, 2025)