Tackling River Pollution Ecologically: A Case Study on the Ji River of Gansu Province. - Anguo Qi; Lifang Qiao; Yongdong Sun; Lianfang Yao; Yichuan Zhang; Weirong Luo (ESIAT (2), 2009)

Researches of the Industrial Wasteland Tourism in China. - Lifang Qiao; Yichuan Zhang; Xinzheng Li; Lili Song; Da Mao (ESIAT (1), 2009)

Application of GIS Technology in Chinese Tourism. - Lifang Qiao; Yichuan Zhang; Wenjie Zhang; Da Mao; Lianfang Yao (ESIAT (1), 2009)

Teacher Teaching Effectiveness Test on Landscape CAD Course. - Yichuan Zhang; Anguo Qi; Jianwei Wang; Yao Wang (ICETC, 2009)

Analytic Scoring of Landscape CAD Course Based on BP Neural Network. - Yichuan Zhang; Lifang Qiao; Lilei Zhang; Teng Chen (ICETC, 2009)

Quasi-Newton Methods for Markov Chain Monte Carlo. - Yichuan Zhang; Charles Sutton (NIPS, 2011)

Continuous Relaxations for Discrete Hamiltonian Monte Carlo. - Yichuan Zhang; Charles Sutton; Amos J. Storkey; Zoubin Ghahramani (NIPS, 2012)

Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models. - Yichuan Zhang; Charles Sutton (NIPS, 2014)

Workload Patterns for Quality-Driven Dynamic Cloud Service Configuration and Auto-Scaling. - Li Zhang; Yichuan Zhang; Pooyan Jamshidi; Lei Xu 004; Claus Pahl (UCC, 2014)

The Research Purpose, Methods and Results of the "Annual Report for International Citations of China's Academic Journals". - Junhong Wu; Hong Xiao; Shuhong Sheng; Yan Zhang; Xiukun Sun; Yichuan Zhang (ISSI, 2015)

Service workload patterns for Qos-driven cloud resource management. - Li Zhang; Yichuan Zhang; Pooyan Jamshidi; Lei Xu 004; Claus Pahl (J. Cloud Comput., 2015)

BoatAR: a multi-user augmented-reality platform for boat. - Yishuo Liu; Yichuan Zhang; Shiliang Zuo; Wai-Tat Fu (VRST, 2018)

Mim: A Merge Iteration and Its Applications for Big Data. - Jie Song 001; Han Wang; Yichuan Zhang; Yubing Bao; Ge Yu 001 (IEEE Access, 2018)

Variational Measure Preserving Flows. - Yichuan Zhang; José Miguel Hernández-Lobato; Zoubin Ghahramani (CoRR, 2018)

The Theory and Algorithm of Ergodic Inference. - Yichuan Zhang (CoRR, 2018)

Research on Mass Real Estate Evaluation Mode Based on BP Neural Network Model. - Ke Ma; Yichuan Zhang; Zhongxuan Yang (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Rim: A reusable iterative model for big data. - Jie Song 001; Zhongyi Ma; Yichuan Zhang; Tiantian Li; Ge Yu 001 (Knowl. Based Syst., 2018)

PBAR: Parallelized Brain Storm Optimization for Association Rule Mining. - Lianbo Ma; Tao Zhang 033; Rui Wang 017; Guangming Yang; Yichuan Zhang (CEC, 2019)

Probery: A Probability-based Incomplete Query Optimization for Big Data. - Jie Song 001; Yichuan Zhang; Yubin Bao; Ge Yu 001 (CoRR, 2019)

TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System. - Tiantian Li; Tianyu Zhang 001; Ge Yu 001; Yichuan Zhang; Jie Song 001 (J. Circuits Syst. Comput., 2019)

Deep Q-learning with Explainable and Transferable Domain Rules. - Yichuan Zhang; Junkai Ren; Junxiang Li; Qiang Fang; Xin Xu 001 (ICIC (2), 2021)

A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. - Andrew Campbell; Wenlong Chen; Vincent Stimper; José Miguel Hernández-Lobato; Yichuan Zhang (ICML, 2021)

Shrimp: a robust underwater visible light communication system. - Chi Lin 001; Yongda Yu; Jie Xiong 001; Yichuan Zhang; Lei Wang 005; Guowei Wu; Zhongxuan Luo (MobiCom, 2021)

Data-efficient Deep Reinforcement Learning Method Toward Scaling Continuous Robotic Task with Sparse Rewards. - Junkai Ren; Yichuan Zhang; Yujun Zeng; Yixing Lan (RCAR, 2021)

Indoor Seat Occupancy Classification with Wi-Fi Channel State Information and Machine Learning Methods. - Yichuan Zhang; Jiefeng Li; Hang Wang (SSIP, 2021)

A Novel Maximin-Based Multi-Objective Evolutionary Algorithm Using One-by-One Update Scheme for Multi-Robot Scheduling Optimization. - Shujun Yang; Yichuan Zhang; Lianbo Ma; Yan Song; Ping Zhou; Gang Shi; Hanning Chen (IEEE Access, 2021)

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction. - Yichuan Zhang; Yixing Lan; Qiang Fang; Xin Xu 001; Junxiang Li; Yujun Zeng (Comput. Intell. Neurosci., 2021)

DFT: A deep feature-based semi-supervised collaborative training for vehicle recognition in smart cities. - Yichuan Zhang; Yadi Liu; Guangming Yang; Jie Song (Expert Syst. J. Knowl. Eng., 2022)

SSIT: a sample selection-based incremental model training method for image recognition. - Yichuan Zhang; Yadi Liu; Guangming Yang; Jie Song (Neural Comput. Appl., 2022)

Research on Optimization Allocation Technology of Rural Electric Power Use Based on Artificial Intelligence Algorithm. - Yichuan Zhang; Weiming Li; Wenyu Lin (ICISCAE, 2023)

A Fast Approach to Satellite Range Rescheduling Using Deep Reinforcement Learning. - Jun Liang; Jian-Ping Liu; Qing Sun; Yue-he Zhu; Yichuan Zhang; Jian-Guo Song; Bo-Yong He (IEEE Trans. Aerosp. Electron. Syst., 2023)

Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment. - Shiyao Zhang; Yuji Dong; Yichuan Zhang; Terry R. Payne; Jie Zhang 030 (AAMAS, 2024)

Human Decision Making Assisted by Artificial Intelligence: Electricity Demand Forecasting in Japan. - Yichuan Zhang; Kazuo Hiekata (TE, 2024)

Deep reinforcement learning using least-squares truncated temporal-difference. - Junkai Ren; Yixing Lan; Xin Xu 001; Yichuan Zhang; Qiang Fang; Yujun Zeng (CAAI Trans. Intell. Technol., 2024)

An Automatic Method for Elbow Joint Recognition, Segmentation and Reconstruction. - Ying Cui; Shangwei Ji; Yejun Zha; Xinhua Zhou; Yichuan Zhang; Tianfeng Zhou (Sensors, 2024)

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning. - Jiawei Cheng; Jingyuan Wang; Yichuan Zhang; Jiahao Ji; Yuanshao Zhu; Zhibo Zhang; Xiangyu Zhao 001 (AAAI, 2025)

Exploring and Modeling Gaze-Based Steering Behavior in Virtual Reality. - Xuning Hu; Yichuan Zhang; Yushi Wei; Yue Li 023; Wolfgang Stuerzlinger; Hai-Ning Liang (CHI Extended Abstracts, 2025)

LGAT: A novel model for multivariate time series anomaly detection with improved anomaly transformer and learning graph structures. - Mi Wen; Zhehui Chen; Yun Xiong; Yichuan Zhang (Neurocomputing, 2025)

Rprot-Vec: a deep learning approach for fast protein structure similarity calculation. - Yichuan Zhang; Wen Zhang (BMC Bioinform., 2025)