Intelligent Human Resource Planning System in a Large Petrochemical Enterprise. - Yizheng Wang; Lefei Li; Liuqing Yang 001 (IEEE Intell. Syst., 2013)

CENN: Conservative energy method based on neural network with subdomains for solving heterogeneous problems involving complex geometries. - Yizheng Wang; Jia Sun; Xiang Li; Yinghua Liu (CoRR, 2021)

Price Chain Analysis from Primary Energy Prices to Electricity Market Clearing Prices. - Junjie Li; Hongliang Wang; Yufeng Luo; Zheng Hai; Zhou Lan; Jiahua Hu; Yizheng Wang (ISGT Asia, 2022)

PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my". - Yizheng Wang; Yinghua Liu (CoRR, 2022)

A POMDP Model for Safe Geological Carbon Sequestration. - Anthony Corso 001; Yizheng Wang; Markus Zechner; Jef Caers; Mykel J. Kochenderfer (CoRR, 2022)

Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models. - Zhen Yin; Maisha Amaru; Yizheng Wang; Lewis Li; Jef Caers (IEEE Trans. Geosci. Remote. Sens., 2022)

Video Tiny-Object Detection Guided by the Spatial-Temporal Motion Information. - Xin Yang; Gang Wang 031; Weiming Hu; Jin Gao; Shubo Lin; Liang Li 006; Kai Gao; Yizheng Wang (CVPR Workshops, 2023)

ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking. - Yutong Kou; Jin Gao; Bing Li 001; Gang Wang 031; Weiming Hu; Yizheng Wang; Liang Li 006 (NeurIPS, 2023)

BINN: A deep learning approach for computational mechanics problems based on boundary integral equations. - Jia Sun; Yinghua Liu; Yizheng Wang; Zhenhan Yao; Xiaoping Zheng (CoRR, 2023)

DCM: Deep complementary energy method based on the principle of minimum complementary energy. - Yizheng Wang; Jia Sun; Zaiyuan Lu; Pipi Hu; Yinghua Liu (CoRR, 2023)

Optimizing Carbon Storage Operations for Long-Term Safety. - Yizheng Wang; Markus Zechner; Gege Wen; Anthony Louis Corso; John Michael Mern; Mykel J. Kochenderfer; Jef Karel Caers (CoRR, 2023)

Tiny drone object detection in videos guided by the bio-inspired magnocellular computation model. - Gang Wang 031; Xin Yang; Liang Li 006; Kai Gao; Jin Gao; Jiayi Zhang; Dajun Xing; Yizheng Wang (Appl. Soft Comput., 2024)

Research on human-guided active following mode with 3D spatial relative positioning for vehicles in hilly and mountainous orchards. - Hengda Li; Pingyi Liu; Jialin Zhang; Xu Zhang; Wenjun Wei; Yizheng Wang (Comput. Electron. Agric., 2024)

SBSM-Pro: support bio-sequence machine for proteins. - Yizheng Wang; Yixiao Zhai; Yijie Ding; Quan Zou 001 (Sci. China Inf. Sci., 2024)

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. - Yizheng Wang; Xiang Li; Ziming Yan; Yuqing Du; Jinshuai Bai; Bokai Liu; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Observation, Analysis, and Solution: Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training. - Jin Gao; Shubo Lin; Shaoru Wang; Yutong Kou; Zeming Li; Liang Li; Congxuan Zhang; Xiaoqin Zhang 002; Yizheng Wang; Weiming Hu (CoRR, 2024)

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. - Yizheng Wang; Jia Sun; Jinshuai Bai; Cosmin Anitescu; Mohammad Sadegh Eshaghi; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams. - Mohammad Sadegh Eshaghi; Mostafa Bamdad; Cosmin Anitescu; Yizheng Wang; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2024)

Artificial intelligence for partial differential equations in computational mechanics: A review. - Yizheng Wang; Jinshuai Bai; Zhongya Lin; Qimin Wang; Cosmin Anitescu; Jia Sun; Mohammad Sadegh Eshaghi; Yuantong Gu; Xi-Qiao Feng; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Energy-based physics-informed neural network for frictionless contact problems under large deformation. - Jinshuai Bai; Zhongya Lin; Yizheng Wang; Jiancong Wen; Yinghua Liu; Timon Rabczuk; Yuantong Gu; Xi-Qiao Feng (CoRR, 2024)

Improved dendritic learning: Activation function analysis. - Yizheng Wang; Yang Yu 013; Tengfei Zhang 001; Keyu Song; Yirui Wang 001; Shangce Gao (Inf. Sci., 2024)

Short-term load forecasting based on CEEMDAN and dendritic deep learning. - Keyu Song; Yang Yu 013; Tengfei Zhang 001; Xiaosi Li; Zhenyu Lei 002; Houtian He; Yizheng Wang; Shangce Gao (Knowl. Based Syst., 2024)

TPMA: A two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments. - Yixiao Zhai; Jiannan Chao; Yizheng Wang; Pinglu Zhang; Furong Tang; Quan Zou 001 (PLoS Comput. Biol., 2024)

Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning. - Yizheng Wang; Xin Zhang 103; Ying Ju; Qing Liu; Quan Zou 001; Yazhou Zhang; Yijie Ding; Ying Zhang 060 (Frontiers Comput. Sci., 2024)

SeqAlignXGBoost: Sequence Alignment and Feature Selection for m1A Modification Site Identification. - Yizheng Wang; Yijie Ding; Quan Zou 001 (ICIC (28), 2025)

A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios. - Yizheng Wang; Yuting Wang; Yuyan Han; Junqing Li 001; Kaizhou Gao (Comput. Ind. Eng., 2025)

Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms. - Yizheng Wang; Yuting Wang 003; Yuyan Han; Kaizhou Gao; Junqing Li 001; Yuhang Wang (Expert Syst. Appl., 2025)

Detecting Object in Remote Sensing Image Based on Improved RT-DETR. - Jinyan Bai; Tao Jiang; Zhengbin Zou; Yizheng Wang; Tiancheng Xue (Int. J. Pattern Recognit. Artif. Intell., 2025)

A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications. - Yuqing Qian; Yizheng Wang; Junkai Liu; Quan Zou 001; Yijie Ding; Xiaoyi Guo; Weiping Ding 001 (Inf. Fusion, 2025)

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. - Yizheng Wang; Jinshuai Bai; Mohammad Sadegh Eshaghi; Cosmin Anitescu; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2025)

deMEM: a novel divide-and-conquer framework based on de Bruijn graph for scalable multiple sequence alignment. - Yanming Wei; Zhaoyang Huang; Pinglu Zhang; Yizheng Wang; Liang Yu 002; Quan Zou 001 (Zenodo, 2025)

An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training. - Jin Gao; Shubo Lin; Shaoru Wang; Yutong Kou; Zeming Li; Liang Li; Congxuan Zhang; Xiaoqin Zhang 002; Yizheng Wang; Weiming Hu (Int. J. Comput. Vis., 2025)