The Design and Realization of the 3D Visualization System Based on HLA. - Lianxing Jia; Lin Wang; Guomin Xuan; Xiaoping Xing; Yinghao Zhu; Weifeng Shan (SNPD, 2004)

Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting. - Jiachen Yang; Bin Jiang 003; Chunqi Ji; Yinghao Zhu; Wen Lu (CCCV (2), 2017)

An Image Quality Evaluation Method Based on Joint Deep Learning. - Jiachen Yang; Bin Jiang 003; Yinghao Zhu; Chunqi Ji; Wen Lu (ICONIP (1), 2017)

Stereoscopic video quality assessment based on 3D convolutional neural networks. - Jiachen Yang; Yinghao Zhu; Chaofan Ma; Wen Lu; Qinggang Meng (Neurocomputing, 2018)

Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network. - Jiachen Yang; Yang Zhao; Yinghao Zhu; Huifang Xu; Wen Lu; Qinggang Meng (Inf. Sci., 2019)

Scheduling mix-flow in SD-DCN based on Deep Reinforcement Learning with Private Link. - Jinjie Lu; Waixi Liu 001; Yinghao Zhu; Sen Ling; Zhitao Chen; Jiaqi Zeng (MSN, 2020)

FullSight: Towards Scalable, High-Coverage, and Fine-grained Network Telemetry. - Sen Ling; Waixi Liu 001; Yinghao Zhu; Miaoquan Tan; Jieming Huang; Zhenzheng Guo; Wen-Hong Lin (MSN, 2021)

Network Modeling Based on GNN and Network Behaviors. - Yinghao Zhu; Waixi Liu 001; Sen Ling; Junming Luo (ICCCS, 2022)

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. - Chaohe Zhang; Xu Chu; Liantao Ma; Yinghao Zhu; Yasha Wang; Jiangtao Wang 001; Junfeng Zhao 001 (KDD, 2022)

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis. - Junyi Gao; Yinghao Zhu; Wenqing Wang; Yasha Wang; Wen Tang; Liantao Ma (CoRR, 2022)

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. - Chaohe Zhang; Xu Chu; Liantao Ma; Yinghao Zhu; Yasha Wang; Jiangtao Wang 001; Junfeng Zhao 001 (CoRR, 2022)

DRL-PLink: Deep Reinforcement Learning With Private Link Approach for Mix-Flow Scheduling in Software-Defined Data-Center Networks. - Waixi Liu 001; Jinjie Lu; Jun Cai 002; Yinghao Zhu; Sen Ling; Qingchun Chen (IEEE Trans. Netw. Serv. Manag., 2022)

M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method. - Yinghao Zhu; Jingkun An; Enshen Zhou; Lu An; Junyi Gao; Hao Li; Haoran Feng; Bo Hou; Wen Tang; Chengwei Pan; Liantao Ma (CoRR, 2023)

Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity. - Yinghao Zhu; Zixiang Wang; Long He; Shiyun Xie; Zixi Chen; Jingkun An; Liantao Ma; Chengwei Pan (CoRR, 2023)

A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets. - Zhongji Zhang; Yuhang Wang; Yinghao Zhu; Xinyu Ma; Tianlong Wang; Chaohe Zhang; Yasha Wang; Liantao Ma (CoRR, 2023)

Load balancing inside programmable data planes based on network modeling prediction using a GNN with network behaviors. - Waixi Liu 001; Jun Cai 002; Yinghao Zhu; Junming Luo; Jin Li 002 (Comput. Networks, 2023)

Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients. - Liantao Ma; Chaohe Zhang; Junyi Gao; Xianfeng Jiao; Zhihao Yu; Yinghao Zhu; Tianlong Wang; Xinyu Ma; Yasha Wang; Wen Tang; Xinju Zhao; Wenjie Ruan; et al. (Patterns, 2023)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation. - Yinghao Zhu; Changyu Ren; Zixiang Wang; Xiaochen Zheng; Shiyun Xie; Junlan Feng; Xi Zhu; Zhoujun Li 001; Liantao Ma; Chengwei Pan (CIKM, 2024)

PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations. - Yinghao Zhu; Zixiang Wang; Long He; Shiyun Xie; Xiaochen Zheng; Liantao Ma; Chengwei Pan (CIKM, 2024)

A Predictive Adaptive Learning Method for Multivariable Time Series With Mooney Viscosity Prediction as an Application Case. - Yinghao Zhu; Chenhao Ying 002; Yan Zhou; Jiangang Lu (IEEE Access, 2024)

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. - Weibin Liao; Yinghao Zhu; Zixiang Wang; Xu Chu; Yasha Wang; Liantao Ma (CoRR, 2024)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. - Yinghao Zhu; Zixiang Wang; Junyi Gao; Yuning Tong; Jingkun An; Weibin Liao; Ewen M. Harrison; Liantao Ma; Chengwei Pan (CoRR, 2024)

REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models. - Yinghao Zhu; Changyu Ren; Shiyun Xie; Shukai Liu; Hangyuan Ji; Zixiang Wang; Tao Sun 016; Long He; Zhoujun Li 001; Xi Zhu; Chengwei Pan (CoRR, 2024)

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. - Weibin Liao; Yinghao Zhu; Xinyuan Wang 009; Chengwei Pan; Yasha Wang; Liantao Ma (CoRR, 2024)

AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. - Jingkun An; Yinghao Zhu; Zongjian Li; Haoran Feng; Bohua Chen; Yemin Shi 001; Chengwei Pan (CoRR, 2024)

How far are AI-powered programming assistants from meeting developers' needs? - Xin Tan 003; Xiao Long; Xianjun Ni; Yinghao Zhu; Jing Jiang 005; Li Zhang 029 (CoRR, 2024)

Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition. - Xiaoyan Su; Yinghao Zhu; Run Li (CoRR, 2024)

EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. - Yinghao Zhu; Changyu Ren; Zixiang Wang; Xiaochen Zheng; Shiyun Xie; Junlan Feng; Xi Zhu; Zhoujun Li 001; Liantao Ma; Chengwei Pan (CoRR, 2024)

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. - Yinghao Zhu; Junyi Gao; Zixiang Wang; Weibin Liao; Xiaochen Zheng; Lifang Liang; Yasha Wang; Chengwei Pan; Ewen M. Harrison; Liantao Ma (CoRR, 2024)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. - Zixiang Wang; Yinghao Zhu; Huiya Zhao; Xiaochen Zheng; Tianlong Wang; Wen Tang; Yasha Wang; Chengwei Pan; Ewen M. Harrison; Junyi Gao; Liantao Ma (CoRR, 2024)

SuperGS: Super-Resolution 3D Gaussian Splatting via Latent Feature Field and Gradient-guided Splitting. - Shiyun Xie; Zhiru Wang; Yinghao Zhu; Chengwei Pan (CoRR, 2024)

A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care. - Junyi Gao; Yinghao Zhu; Wenqing Wang; Zixiang Wang; Guiying Dong; Wen Tang; Hao Wang 035; Yasha Wang; Ewen M. Harrison; Liantao Ma (Patterns, 2024)

AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. - Jingkun An; Yinghao Zhu; Zongjian Li; Enshen Zhou; Haoran Feng; Xijie Huang; Bohua Chen; Yemin Shi 001; Chengwei Pan (AAAI, 2025)

Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models. - Xijie Huang; Xinyuan Wang 009; Hantao Zhang; Yinghao Zhu; Jiawen Xi; Jingkun An; Hao Wang; Hao Liang; Chengwei Pan (AAAI, 2025)

Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. - Weibin Liao; Yinghao Zhu; Zhongji Zhang; Yuhang Wang; Zixiang Wang; Xu Chu; Yasha Wang; Liantao Ma (KDD (1), 2025)

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. - Tianlong Wang; Xianfeng Jiao; Yinghao Zhu; Zhongzhi Chen; Yifan He; Xu Chu; Junyi Gao; Yasha Wang; Liantao Ma (WWW, 2025)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. - Zixiang Wang; Yinghao Zhu; Huiya Zhao; Xiaochen Zheng; Dehao Sui; Tianlong Wang; Wen Tang; Yasha Wang; Ewen M. Harrison; Chengwei Pan; Junyi Gao; Liantao Ma (WWW, 2025)

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor. - Xin Tan 003; Xiao Long; Yinghao Zhu; Lin Shi 006; Xiaoli Lian; Li Zhang 029 (Proc. ACM Softw. Eng., 2025)

TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning. - Yinghao Zhu; Xiaochen Zheng; Ahmed Allam; Michael Krauthammer (CoRR, 2025)

Insights into dendritic growth mechanisms in batteries: A combined machine learning and computational study. - Zirui Zhao; Junchao Xia; Si Wu; Xiaoke Wang; Guanping Xu; Yinghao Zhu; Jing Sun; Hai-Feng Li (CoRR, 2025)

Towards Large-scale Generative Ranking. - Yanhua Huang; Yuqi Chen 034; Xiong Cao; Rui Yang; Mingliang Qi 003; Yinghao Zhu; Qingchang Han; Yaowei Liu; Zhaoyu Liu; Xuefeng Yao; Yuting Jia; Leilei Ma 006; et al. (CoRR, 2025)

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor. - Xin Tan; Xiao Long; Yinghao Zhu; Lin Shi; Xiaoli Lian; Li Zhang (CoRR, 2025)

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks. - Yinghao Zhu; Ziyi He; Haoran Hu; Xiaochen Zheng; Xichen Zhang; Zixiang Wang; Junyi Gao; Liantao Ma; Lequan Yu (CoRR, 2025)

SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting. - Shiyun Xie; Zhiru Wang; Yinghao Zhu; Xu Wang; Chengwei Pan; Xiwang Dong (CoRR, 2025)

Reuse or Generate? Accelerating Code Editing via Edit-Oriented Speculative Decoding. - Peiding Wang; Li Zhang; Fang Liu; Yinghao Zhu; Wang Xu; Lin Shi; Xiaoli Lian; Minxiao Li; Bo Shen; An Fu (CoRR, 2025)

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning. - Bo Hou; Xin Tan; Kai Zheng; Fang Liu; Yinghao Zhu; Li Zhang (CoRR, 2025)

HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research. - Yinghao Zhu; Yifan Qi; Zixiang Wang; Lei Gu; Dehao Sui; Haoran Hu; Xichen Zhang; Ziyi He; Liantao Ma; Lequan Yu (CoRR, 2025)

ConfAgents: A Conformal-Guided Multi-Agent Framework for Cost-Efficient Medical Diagnosis. - Huiya Zhao; Yinghao Zhu; Zixiang Wang; Yasha Wang; Junyi Gao; Liantao Ma (CoRR, 2025)

Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation. - Weibin Liao; Tianlong Wang; Yinghao Zhu; Yasha Wang; Junyi Gao; Liantao Ma (CoRR, 2025)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. - Yue Fang; Yuxin Guo; Jiaran Gao; Hongxin Ding; Xinke Jiang; Weibin Liao; Yongxin Xu; Yinghao Zhu; Zhibang Yang; Liantao Ma; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)