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2025

Sequential recommendation by reprogramming pretrained transformerMin Tang, Shujie Cui, Zhe Jin, Shiuan-Ni Liang, Chenliang Li, Lixin Zou. ipm, 62(1):103938, 2025. [doi]

2024

Identifying influential nodes in complex networks via TransformerLeiyang Chen, Ying Xi, Liang Dong, Manjun Zhao, Chenliang Li, Xiao Liu 0004, Xiaohui Cui. ipm, 61(5):103775, 2024. [doi]

SocialBench: Sociality Evaluation of Role-Playing Conversational AgentsHongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang 0011, Fei Huang 0004. acl 2014: 2108-2126 [doi]

A Tensor Multigrid Method for Solving Sylvester Tensor EquationsYuhan Chen, Chenliang Li. tase, 21(3):4397-4405, July 2024. [doi]

2R: Learning to Online Learning to Rank for Web SearchXiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li. icde 2024: 4733-4746 [doi]

Contextual MAB Oriented Embedding Denoising for Sequential RecommendationZhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang. wsdm 2024: 199-207 [doi]

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language ModelAnwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian 0001, Ji Zhang 0011, Fei Huang 0004. mm 2024: 6929-6938 [doi]

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale DatasetZhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He 0009, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan. sigir 2024: 1232-1241 [doi]

DiffuRec: A Diffusion Model for Sequential RecommendationZihao Li, Aixin Sun, Chenliang Li. tois, 42(3), May 2024. [doi]

Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential RecommendationZihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang 0002, Chenliang Li. CIKM 2024: 1336-1345 [doi]

Disentangle interest trend and diversity for sequential recommendationZihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li. ipm, 61(2):103619, March 2024. [doi]

Unifying Latent and Lexicon Representations for Effective Video-Text RetrievalHaowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu. COLING 2024: 17031-17041 [doi]

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-trainingHaowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu. COLING 2024: 14664-14675 [doi]

Unbiased Learning-to-Rank Needs Unconfounded Propensity EstimationDan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen 0001, Chenliang Li, Dawei Yin, Brian D. Davison 0001. sigir 2024: 1535-1545 [doi]

TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusionJiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao. ipm, 61(6):103848, 2024. [doi]

BGAT-CCRF: A novel end-to-end model for knowledge graph noise correctionJiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao. NN, 180:106715, 2024. [doi]

A review of graph neural networks and pretrained language models for knowledge graph reasoningJiangtao Ma, Bo Liu, Kunlin Li, Chenliang Li, Fan Zhang, Xiangyang Luo, Yaqiong Qiao. ijon, 609:128490, 2024. [doi]

Small LLMs Are Weak Tool Learners: A Multi-LLM AgentWeizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang 0011, Fei Huang 0004. emnlp 2024: 16658-16680 [doi]

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative PreferenceZuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou 0011, Lixin Zou, Chenliang Li. CIKM 2024: 2240-2249 [doi]

Dependency Structure-Enhanced Graph Attention Networks for Event DetectionQizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu. AAAI 2024: 19098-19106 [doi]

Unified Visual Preference Learning for User Intent UnderstandingYihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li. wsdm 2024: 816-825 [doi]

Efficient Sparse Attention needs Adaptive Token ReleaseChaoran Zhang, Lixin Zou, Dan Luo 0004, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li. acl 2014: 14081-14094 [doi]

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based RecommendationXiaokun Zhang, Bo Xu 0009, Fenglong Ma, Chenliang Li, Yuan Lin 0001, Hongfei Lin. tois, 42(3), May 2024. [doi]

Beyond Co-Occurrence: Multi-Modal Session-Based RecommendationXiaokun Zhang, Bo Xu 0009, Fenglong Ma, Chenliang Li, Liang Yang 0003, Hongfei Lin. tkde, 36(4):1450-1462, April 2024. [doi]

2023

On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and TrainingHao Fei 0001, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren. tois, 41(2), April 2023. [doi]

Tutorial: Data Denoising Metrics in Recommender SystemsPengfei Wang 0009, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang. CIKM 2023: 5224-5227 [doi]

Pre-Training Across Different Cities for Next POI RecommendationKe Sun 0010, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li 0001, Ming Zhong 0002, Yuanyuan Zhu, Mengchi Liu. tweb, 17(4), November 2023. [doi]

Preconditioned tensor format conjugate gradient squared and biconjugate gradient stabilized methods for solving stein tensor equationsYuhan Chen, Chenliang Li. nla, 30(5), October 2023. [doi]

A Class of Smoothing Modulus-Based Iterative Methods for Solving the Stochastic Mixed Complementarity ProblemsCong Guo, Yingling Liu, Chenliang Li. symmetry, 15(1):229, 2023. [doi]

A Critical Study on Data Leakage in Recommender System Offline EvaluationYitong Ji, Aixin Sun, Jie Zhang 0002, Chenliang Li. tois, 41(3), 2023. [doi]

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch SummarizationChaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang. iccv 2023: 2888-2898 [doi]

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text AlignmentChaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Ji Zhang. mm 2023: 4480-4491 [doi]

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language ModelsChenliang Li, He Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou. emnlp 2023: 566-578 [doi]

A Survey on Deep Learning for Named Entity Recognition : Extended AbstractJing Li, Aixin Sun, Jianglei Han, Chenliang Li. icde 2023: 3817-3818 [doi]

Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case RetrievalBulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu 0001, Yueyue Wu, Chenliang Li, Weixing Shen. CIKM 2023: 1513-1522 [doi]

Investigating Conversational Agent Action in Legal Case RetrievalBulou Liu, Yiran Hu, Yueyue Wu, Yiqun Liu 0001, Fan Zhang 0053, Chenliang Li, Min Zhang, Shaoping Ma, Weixing Shen. ecir 2023: 622-635 [doi]

Twitter user geolocation based on heterogeneous relationship modeling and representation learningYaqiong Qiao, Xiangyang Luo, Jiangtao Ma, Meng Zhang, Chenliang Li. isci, 647:119427, November 2023. [doi]

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate RetrievalHongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li. WWW 2023: 3173-3181 [doi]

Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous VariablesBingqing Song, Zhicheng Zhou, Chenliang Li, Dongning Guo, Xiao Fu 0001, Mingyi Hong. spawc 2023: 636-640 [doi]

Towards Multi-Interest Pre-training with Sparse Capsule NetworkZuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li. sigir 2023: 311-320 [doi]

Multi-Scenario Ranking with Adaptive Feature LearningYu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu 0015, Bo Zheng, Qian Wang, Chenliang Li. sigir 2023: 517-526 [doi]

Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed GraphQizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu, Rong Hu. acl 2023: 10481-10492 [doi]

Poisoning Self-supervised Learning Based Sequential RecommendationsYanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li. sigir 2023: 300-310 [doi]

A Bayesian Approach to Robust Inverse Reinforcement LearningRan Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony D. McDonald, Mingyi Hong. corl 2023: 2304-2322 [doi]

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and VideoHaiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang 0004, Jingren Zhou. icml 2023: 38728-38748 [doi]

Achieving Human Parity on Visual Question AnsweringMing Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang 0225, Xianzhe Xu, Ji Zhang 0011, Songfang Huang, Fei Huang 0004, Luo Si, Rong Jin 0001. tois, 41(3), 2023. [doi]

Learning Trajectory-Word Alignments for Video-Language TasksXu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang. iccv 2023: 2504-2514 [doi]

Transforming Visual Scene Graphs to Image CaptionsXu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang 0004, Zhangzikang Li, Yu Zhang. acl 2023: 12427-12440 [doi]

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language ModelJiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian 0001, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang. emnlp 2023: 2841-2858 [doi]

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningSiliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong. nips 2023: [doi]

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendationXiaofei Zhu, Gu Tang, Pengfei Wang 0009, Chenliang Li, Jiafeng Guo, Stefan Dietze. isci, 624:324-343, May 2023. [doi]

2022

Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation ExtractionHao Fei 0001, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li. IJCAI 2022: 4107-4113 [doi]

Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment AnalysisHao Fei 0001, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji. IJCAI 2022: 4121-4128 [doi]

Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text GenerationHao Fei 0001, Chenliang Li, Donghong Ji, Fei Li. sigir 2022: 1555-1565 [doi]

Wavefront-Based Multiple Rumor Sources Identification by Multi-Task LearningMing Dong 0004, Bolong Zheng, Guohui Li 0001, Chenliang Li, Kai Zheng 0001, Xiaofang Zhou 0001. tetci, 6(5):1068-1078, 2022. [doi]

A Survey on Deep Learning for Named Entity RecognitionJing Li 0034, Aixin Sun, Jianglei Han, Chenliang Li. tkde, 34(1):50-70, 2022. [doi]

User-Aware Multi-Interest Learning for Candidate Matching in RecommendersZheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang. sigir 2022: 1326-1335 [doi]

Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in RecommendersZhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao 0005, Binqiang Zhao. sigir 2022: 60-69 [doi]

Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for RecommendationTeng-Yue Han, Pengfei Wang 0009, Shaozhang Niu, Chenliang Li. WWW 2022: 2058-2066 [doi]

Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time PerspectiveYitong Ji, Aixin Sun, Jie Zhang, Chenliang Li. ictir 2022: 92-97 [doi]

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch SelectionChaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang. emnlp 2022: 4084-4096 [doi]

An Attribute-Driven Mirror Graph Network for Session-based RecommendationSiqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun. sigir 2022: 1674-1683 [doi]

Multi-Agent RL-based Information Selection Model for Sequential RecommendationKaiyuan Li, Pengfei Wang 0009, Chenliang Li. sigir 2022: 1622-1631 [doi]

Consensus reaching model for counter-intuitive in D-S evidence theory and application under 2-tuple linguistic representationChenliang Li, Xiaobing Yu. eaai, 112:104832, 2022. [doi]

Adaptive Feature Discrimination and Denoising for Asymmetric Text MatchingYan Li, Chenliang Li, Junjun Guo. COLING 2022: 1146-1156 [doi]

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connectionsChenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si. emnlp 2022: 7241-7259 [doi]

Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrievalBulou Liu, Yueyue Wu, Fan Zhang, Yiqun Liu 0001, Zhihong Wang, Chenliang Li, Min Zhang 0006, Shaoping Ma. ipm, 59(5):103051, 2022. [doi]

GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded MechanismJiangtao Ma, Duanyang Li, Haodong Zhu, Chenliang Li, Qiuwen Zhang, Yaqiong Qiao. ipm, 59(5):103004, 2022. [doi]

When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential RecommendationYu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li. sigir 2022: 1632-1641 [doi]

A modulus-based cascadic multigrid method for elliptic variational inequality problemsYan Wang, Chenliang Li. na, 90(4):1777-1791, 2022. [doi]

Is News Recommendation a Sequential Recommendation Task?Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang. sigir 2022: 2382-2386 [doi]

Lightweight Unbiased Multi-teacher Ensemble for Review-based RecommendationGuipeng Xv, Xinyi Liu, Chen Lin, Hui Li 0057, Chenliang Li, Zhenhua Huang. CIKM 2022: 4620-4624 [doi]

Knowledge Graph Contrastive Learning for RecommendationYuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li. sigir 2022: 1434-1443 [doi]

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential RecommendationYuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li. kdd 2022: 2263-2274 [doi]

Constrained multi-objective differential evolution algorithm with ranking mutation operatorXiaobing Yu, Wenguan Luo, Wangying Xu, Chenliang Li. eswa, 208:118055, 2022. [doi]

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time GuaranteesSiliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong. nips 2022: [doi]

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based RecommendationXiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin. sigir 2022: 1684-1693 [doi]

Dynamic intent-aware iterative denoising network for session-based recommendationXiaokun Zhang, Hongfei Lin, Bo Xu 0009, Chenliang Li, Yuan Lin 0001, Haifeng Liu, Fenglong Ma. ipm, 59(3):102936, 2022. [doi]

Cross-Domain Product Search with Knowledge GraphRui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li. CIKM 2022: 3746-3755 [doi]

Automatic Expert Selection for Multi-Scenario and Multi-Task SearchXinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun. sigir 2022: 1535-1544 [doi]

2021

Adapted Graph Reasoning and Filtration for Description-Image RetrievalShiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen. sigir 2021: 1839-1843 [doi]

StructuralLM: Structural Pre-training for Form UnderstandingChenliang Li, Bin Bi, Ming Yan, Wei Wang 0225, Songfang Huang, Fei Huang, Luo Si. acl 2021: 6309-6318 [doi]

An integrated approach to site selection for a big data center using PROMETHEE-MCGP methodologyChenliang Li, Xiaobing Yu, Wen-Xuan Zhao. jifs, 41(6):6495-6515, 2021. [doi]

A hybrid model based on PROMETHEE and PLTSs for the assessment of public participation in community meteorological disaster prevention and mitigationChenliang Li, Xiaobing Yu. jifs, 40(5):9583-9595, 2021. [doi]

Path-based Deep Network for Candidate Item Matching in RecommendersHouyi Li, Zhihong Chen, Chenliang Li, Rong Xiao 0005, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang. sigir 2021: 1493-1502 [doi]

Concept-Aware Denoising Graph Neural Network for Micro-Video RecommendationYiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li. CIKM 2021: 1099-1108 [doi]

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert NetworksXichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao 0005, Hongbo Deng. wsdm 2021: 1038-1046 [doi]

The World is Binary: Contrastive Learning for Denoising Next Basket RecommendationYuqi Qin, Pengfei Wang, Chenliang Li. sigir 2021: 859-868 [doi]

MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal FusionJunfeng Tian, Min Gui, Chenliang Li, Ming Yan, Wenming Xiao. semeval 2021: 1082-1087 [doi]

Joint Knowledge Pruning and Recurrent Graph Convolution for News RecommendationYu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li. sigir 2021: 51-60 [doi]

Pattern-enhanced Contrastive Policy Learning Network for Sequential RecommendationXiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu. IJCAI 2021: 1593-1599 [doi]

A Trigger-Aware Multi-task Learning for Chinese Event Entity RecognitionYangxiao Xiang, Chenliang Li. cncl 2021: 341-354 [doi]

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual LearningHaiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang. acl 2021: 503-513 [doi]

A Unified Pretraining Framework for Passage Ranking and ExpansionMing Yan, Chenliang Li, Bin Bi, Wei Wang 0025, Songfang Huang. AAAI 2021: 4555-4563 [doi]

HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual DataZhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li. CIKM 2021: 2363-2372 [doi]

A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster managementXiaobing Yu, Chenliang Li, Gary G. Yen. asc, 98:106857, 2021. [doi]

A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017Xiaobing Yu, Xuejing Wu, Hong Chen, Xuming Wang, Chenliang Li, Zhonghui Ji. jifs, 41(6):7457-7471, 2021. [doi]

Opposition-based learning grey wolf optimizer for global optimizationXiaobing Yu, Wangying Xu, Chenliang Li. kbs, 226:107139, 2021. [doi]

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