Learning Control of a Robotic System Using Neural Networks. - Zhixun Li; Wei He; Zui Tao; Chang Liu (ICONS, 2013)

A robust coronary artery identification and centerline extraction method in angiographies. - Zhixun Li; Yingtao Zhang; Guangzhong Liu; Haoyang Shao; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2015)

Automatic coronary artery segmentation based on multi-domains remapping and quantile regression in angiographies. - Zhixun Li; Yingtao Zhang; Huiling Gong; Weimin Li 004; Xianglong Tang (Comput. Medical Imaging Graph., 2016)

Awareness design and analysis upon two infectious states based on susceptible-exposed-infected-vigilant (SEIV) model. - Zhixun Li; Jie Hong; Changbin Yu; Zhiyong Sun (ASCC, 2017)

An automatic and efficient coronary arteries extraction method in CT angiographies. - Zhixun Li; Yingtao Zhang; Huiling Gong; Guangzhong Liu; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2017)

A 3D/2D registration of the coronary arteries based on tree topology consistency matching. - Songbo Liu; Peng Liu 008; Zhixun Li; Yingtao Zhang; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2017)

Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics. - Weidong Min; Hao Cui; Hong Rao; Zhixun Li; Leiyue Yao (IEEE Access, 2018)

Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model. - Zhixun Li; Jie Hong; Jonghyuk Kim; Changbin Yu (ASCC, 2019)

Control Design and Analysis of An Epidemic SEIV Model upon Adaptive Network. - Zhixun Li; Jie Hong; Jonghyuk Kim; Changbin Yu (ECC, 2019)

Partial Multi-View Clustering Based on Sparse Embedding Framework. - Mingshu Ji; Hong Rao; Zhixun Li; Jian Zhu; Ning Wang (IEEE Access, 2019)

Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph. - Jingwei Qu; Bei Wang 004; Zhixun Li; Xiaoqing Lyu; Zhi Tang 001 (BIBM, 2021)

The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. - Zhixun Li; Dingshuo Chen; Qiang Liu 006; Shu Wu (ICDM, 2022)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 056 (NeurIPS, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (NeurIPS, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Liang Wang 056; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (CoRR, 2023)

CDA-Net: A contrastive deep adversarial model for prostate cancer segmentation in MRI images. - Zhixun Li; Jiancheng Fang; Ruiyun Qiu; Huiling Gong; Wei Zhang; Linghao Li; Jian Jiang (Biomed. Signal Process. Control., 2023)

MFA-Net: Multiple Feature Association Network for medical image segmentation. - Zhixun Li; Nan Zhang; Huiling Gong; Ruiyun Qiu; Wei Zhang (Comput. Biol. Medicine, 2023)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Jiajun Zhang; Zhixun Li; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (CIKM, 2024)

A Survey of Graph Meets Large Language Model: Progress and Future Directions. - Yuhan Li 001; Zhixun Li; Peisong Wang; Jia Li 009; Xiangguo Sun; Hong Cheng 001; Jeffrey Xu Yu (IJCAI, 2024)

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. - Yuhan Li 001; Peisong Wang; Zhixun Li; Jeffrey Xu Yu; Jia Li 009 (KDD, 2024)

Rethinking Fair Graph Neural Networks from Re-balancing. - Zhixun Li; Yushun Dong; Qiang Liu 006; Jeffrey Xu Yu (KDD, 2024)

Graph Intelligence with Large Language Models and Prompt Learning. - Jia Li 009; Xiangguo Sun; Yuhan Li 001; Zhixun Li; Hong Cheng 001; Jeffrey Xu Yu (KDD, 2024)

Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. - Dingshuo Chen; Zhixun Li; Yuyan Ni; Guibin Zhang; Ding Wang; Qiang Liu 006; Shu Wu; Jeffrey Xu Yu; Liang Wang (NeurIPS, 2024)

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. - Guibin Zhang; Haonan Dong; Yuchen Zhang; Zhixun Li; Dingshuo Chen; Kai Wang 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 056 (NeurIPS, 2024)

Study on the Triggered Discharge Characteristics of Sphere Gaps for Protecting Transformer Neutral Point. - Hongyan Nie; Pengfei Wang; Qingguo Chen; Zhen An; Zhixun Li (IEEE Access, 2024)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Jiajun Zhang; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. - Guibin Zhang; Yanwei Yue; Zhixun Li; Sukwon Yun; Guancheng Wan; Kun Wang 042; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (CoRR, 2024)

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. - Guibin Zhang; Haonan Dong; Yuchen Zhang; Zhixun Li; Dingshuo Chen; Kai Wang 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 042 (CoRR, 2024)

Fairness without Demographics through Learning Graph of Gradients. - Yingtao Luo; Zhixun Li; Qiang Liu; Jun Zhu (CoRR, 2024)

SG-MIAN: Self-guided multiple information aggregation network for image-level weakly supervised skin lesion segmentation. - Zhixun Li; Nan Zhang; Huiling Gong; Ruiyun Qiu; Wei Zhang (Comput. Biol. Medicine, 2024)

Inductive Attributed Community Search: to Learn Communities across Graphs. - Shuheng Fang; Kangfei Zhao; Yu Rong 001; Zhixun Li; Jeffrey Xu Yu (Proc. VLDB Endow., 2024)

All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. - Shuheng Fang; Kangfei Zhao; Yu Rong 001; Jeffrey Xu Yu; Zhixun Li (ICDE, 2025)

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. - Guibin Zhang; Yanwei Yue; Zhixun Li; Sukwon Yun; Guancheng Wan; Kun Wang 056; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (ICLR, 2025)

Fairness without Demographics through Learning Graph of Gradients. - Yingtao Luo; Zhixun Li; Qiang Liu 006; Jun Zhu 001 (KDD (1), 2025)

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. - Zhixun Li; Dingshuo Chen; Tong Zhao; Daixin Wang; Hongrui Liu; Zhiqiang Zhang 012; Jun Zhou 011; Jeffrey Xu Yu (WWW, 2025)

Scribble-supervised medical image segmentation based on dynamically generated pseudo labels via multi-scale superpixels. - Zhixun Li; Jiancheng Fang; Ruiyun Qiu; Huiling Gong (Biomed. Signal Process. Control., 2025)

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey. - Zhixun Li; Bin Cao; Rui Jiao; Liang Wang 056; Ding Wang; Yang Liu 003; Dingshuo Chen; Jia Li 009; Qiang Liu 006; Yu Rong 001; Liang Wang 001; Tong-yi Zhang; et al. (CoRR, 2025)

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study. - Ziyang Cheng; Zhixun Li; Yuhan Li 001; Yixin Song; Kangyi Zhao; Dawei Cheng; Jia Li 009; Jeffrey Xu Yu (CoRR, 2025)

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora. - Fangyuan Zhang; Zhengjun Huang; Yingli Zhou; Qintian Guo; Zhixun Li; Wensheng Luo 002; Di Jiang; Yixiang Fang; Xiaofang Zhou 001 (CoRR, 2025)