| 2026 | ACL | QueryLink: Leveraging Query-Memory Alignment for Long-Term Reasoning in LLM Agents. | Xuxian Hu, Zhu Teng, Wei Zhang, Ming He, Jianping Fan |
| 2026 | ACL | When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs. | Zhongxiang Sun, Yi Zhan, Chenglei Shen, Weijie Yu, Xiao Zhang, Ming He, Jun Xu |
| 2026 | WWW | Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation. | Jiale Huang, Yingyuan Xiao, Likang Wu, Xu Cheng, Wenguang Zheng, Qingbo Hao, Ming He, Hongke Zhao |
| 2026 | SIGIR | Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation. | Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | AAAI | Multi-View Empowered Structural Graph Wordification for Language Models. | Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng |
| 2025 | AAAI | Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework. | Wei Xiao, Hongbin Wang, Ming He, Nianbin Wang |
| 2025 | ACL | MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu |
| 2025 | ACL | ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research. | Zhiyuan Wang, Bokui Chen, Yinya Huang, Qingxing Cao, Ming He, Jianping Fan, Xiaodan Liang |
| 2025 | CIKM | EEG-FSL: An EEG-Based Few-Shot Learning Framework for Music Recommendation. | Ming He, Wenbo Luo, Yongjie Zheng, Junkai Zhang, Xiaolei Gao |
| 2025 | CIKM | Improving the Safety of Medication Recommendation via Graph Augmented Patient Similarity Network. | Ming He, Yongjie Zheng, Changle Li, Man Zhou |
| 2025 | CIKM | Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. | Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | EMNLP | Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search. | Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu |
| 2025 | ICML | Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data. | Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan |
| 2025 | IJCNN | Uncertainty-Guided Curriculum Design: robust policy learning with adversarial environment. | Wenning Hu, Lianke Zhou, Ming He, Nianbin Wang |
| 2025 | NAACL | Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction. | Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan |
| 2025 | RecSys | MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | RecSys | Paragon: Parameter Generation for Controllable Multi-Task Recommendation. | Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan |
| 2024 | DASFAA | Causal Disentangled Sentiment Debiasing for Recommendation. | Ming He, Chang Liu, Han Zhang, Zihao Zhang |
| 2024 | KDD | Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems. | Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan |
| 2023 | CIKM | Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. | Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan |
| 2023 | CIKM | Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. | Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan |
| 2023 | WWW | Cross-domain recommendation via user interest alignment. | Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan |
| 2023 | SIGIR | LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. | Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li |
| 2023 | WISE | Counterfactual Explanations for Sequential Recommendation with Temporal Dependencies. | Ming He, Boyang An, Jiwen Wang, Hao Wen |
| 2022 | CIKM | Causal Intervention for Sentiment De-biasing in Recommendation. | Ming He, Xin Chen, Xinlei Hu, Changshu Li |
| 2022 | DASFAA | Learning and Fusing Multiple User Interest Representations for Sequential Recommendation. | Ming He, Tianshuo Han, Tianyu Ding |
| 2022 | DASFAA | Mitigating Popularity Bias in Recommendation via Counterfactual Inference. | Ming He, Changshu Li, Xinlei Hu, Xin Chen, Jiwen Wang |
| 2022 | ICWE | Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks. | Ming He, Tianshuo Han, Tianyu Ding |
| 2021 | DASFAA | LGCCF: A Linear Graph Convolutional Collaborative Filtering with Social Influence. | Ming He, Han Wen, Hanyu Zhang |
| 2021 | DASFAA | RE-KGR: Relation-Enhanced Knowledge Graph Reasoning for Recommendation. | Ming He, Hanyu Zhang, Han Wen |
| 2021 | IJCAI | Guided Attention Network for Concept Extraction. | Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu |
| 2021 | IJCAI | DeepME: Deep Mixture Experts for Large-scale Image Classification. | Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng |
| 2021 | ICWE | MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering. | Ming He, Zekun Huang, Han Wen |
| 2021 | ICWE | Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. | Ming He, Tong Shen, Ruihai Dong |
| 2021 | PAKDD | SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. | Ming He, Tianyu Ding, Tianshuo Han |
| 2020 | INFOCOM | Intelligent UAV Based Flexible 5G Emergency Networks: Field Trial and System Level Results. | Yuan Gao, Jiang Cao, Ping Wang, Junsong Yin, Ming He, Ming Zhao, Mugen Peng, Su Hu, Yunchuan Sun, Jing Wang, Shaochi Cheng, Yang Guo, Yanchang Du, Yanxi Cai, Jinhui Huang, Kai Qiu |
| 2019 | HCI | Application Research of Chinese Traditional Medicine Health Concept in Indoor Environment Design. | Ming He |
| 2019 | ICNC | Tag2Vec: Tag Embedding for Top-N Recommendation. | Ming He, Kaisheng Yao, Peng Yang, Yuan Yao |
| 2019 | IGARSS | Composite Geolocating of ZY-3-02 Laser Altimetry Data and Optical Satellite Stereo Imagery. | Junfeng Xie, Fen Hu, Zhenming Wang, Ming He, Ying Zhen, Hong Zhu |
| 2018 | APCC | Blind Spectrum Sensing of OFDM Signals under Multipath Fading Channels. | Ming He, Ming Jin, Youming Li |
| 2018 | KSEM | Understand and Assess People's Procrastination by Mining Computer Usage Log. | Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li |
| 2018 | WSDM | Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation. | Ming He, Jiuling Zhang, Peng Yang, Kaisheng Yao |
| 2016 | DASFAA | Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. | Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan |
| 2016 | KSEM | CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. | Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu |
| 2014 | IECON | Risk assessment of short-term hydropower scheduling under price uncertainty considering correlation between adjacent intervals. | Li He, Yi Quan, Ming He |
| 2013 | AINA | A New Active Path Identification and Filtering Method. | Lin Chen, Ming He, Zhihong Liu, Guilin Cai |
| 2013 | ISIT | On uniform matroidal networks. | Ming He, Zongpeng Li, Chuan Wu, Xunrui Yin |
| 2012 | APSCC | Adapkeys: An Adaptive Security Scheme for Network Coding. | Ming He, Lin Chen, Hong Wang, Zhenghu Gong, Fan Dai, Zhihong Liu |
| 2008 | CIS | Multi-Strategy to Improve Reading Comprehension. | Yongping Du, Ming He |
| 2008 | ISDA | Pattern Optimization and the Application in Question Answering. | Yongping Du, Ming He |
| 2006 | SMC | The Impact of Linear Transformation on SVM Margin. | Qiang He, Junfen Chen, Ming He, Rui-Xian Zhu |
| 2005 | MDAI | Extracting Classification Rules with Support Rough Neural Networks. | Ming He, Boqin Feng |
| 2004 | WCNC | Ad hoc assisted handoff for real-time voice in IEEE 802.11 infrastructure WLANs. | Ming He, Terence D. Todd, Dongmei Zhao, Vytas Kezys |