Bin Liu

Constant-Round Privacy-Preserving KNN Classification Based on Function Secret Sharing

Bin Liu, Xue Yang, Xiaohu Tang

SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration

Yinhao Tang, Youqing Fang, Yanan Sun, Wenran Liu, Weiming Zhang, Bin Liu, et al.

Scientific research involves complex information-seeking and reasoning workflows across heterogeneous sources. However, existing benchmarks primarily emphasize general-domain retrieval or static scientific question answering, and therefore fail to assess key capabilities required…Read more

A Multi-posture Asymmetry-aware Intelligent Bilateral Observation Dataset for Cardiovascular Monitoring

Jiarong Chen, Rong Li, Bin Liu, Min Wang, Wenqi Shi, Ronghui Gao, et al.

Photoplethysmography (PPG) is a non-invasive optical sensing modality that captures peripheral blood-volume dynamics related to cardiac activity and vascular function, making it useful for frequent cardiovascular monitoring with wearable devices. However, existing public PPG data…Read more

VisCo: Leveraging Large Language Models as Intrinsic Encoders for Visual Token Compression

Yupeng Zheng, Kai Zou, Bin Liu, Nenghai Yu

Vision-language models (VLMs) process large numbers of visual tokens, resulting in substantial inference latency and memory overhead. This has motivated extensive research on visual token compression. While training-free strategies rely on heuristic metrics and suffer significant…Read more

Scalable Visual Pretraining for Language Intelligence

Yiming Zhang, Zhonghan Zhao, Wenwei Zhang, Haiteng Zhao, Tianyang Lin, Huanze Tang, et al.

The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpora. However, many forms of knowledge are conveyed through visual representations, where figures, typeset equations, and page layouts carry rich information that can…Read more

Machine Learning-Based Prediction of CO2 Solubility in Deep Eutectic Solvents

Yiwen Wang, Shijia Peng, Chikezie Nwaoha, Teerawat Sema, Bin Liu, Paitoon Tontiwachwuthikul

Abstract Deep eutectic solvents, as an emerging class of green solvents, have demonstrated great potential in gas absorption and separation owing to their favorable physicochemical properties. However, accurate prediction of CO2 solubility in deep eutectic solvents across a wide…Read more

SGF-CDNet: A Consistency-Discrepancy Graph Network over Semantic-Geometric Fused Nodes for Face Forgery Detection

Jiayao Jiang, Bin Liu, Nenghai Yu

The rapid advancement of deepfakes necessitates robust face forgery detection. Although forged faces may lack obvious artifacts, they often contain subtle disharmony among different facial regions. We propose SGF-CDNet, a Consistency-Discrepancy Graph Network (CD-GNN) over Semant…Read more

Research on Tongue Image Segmentation and Classification Methods Based on Deep Learning and Machine Learning

Bin Liu, Zeya Wang, Kang Yu, Yunfeng Wang, Haiying Zhang, Tingting Song, et al.

Tongue diagnosis is a crucial method in traditional Chinese medicine (TCM) for obtaining information about a patient’s health condition. In this study, we propose a tongue image segmentation method based on deep learning and a pixel-level tongue color classification method utiliz…Read more

Efficient Human Activity Recognition Using Machine Learning and Wearable Sensor Data

Ziwei Zhong, Bin Liu

With the rapid advancement of global development, there is an increasing demand for health monitoring technologies. Human activity recognition and monitoring systems offer a powerful means of identifying daily movement patterns, which helps in understanding human behaviors and pr…Read more