| 2026 | KSEM | Causal Backdoor Adjustment for Citation Intent Classification. | Yu Song, Lidan Wan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang |
| 2025 | AAAI | One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. | Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang |
| 2025 | CIKM | ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. | Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong |
| 2025 | DASFAA | FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents. | Zheng Dou, Deqing Wang, Fuzhen Zhuang, Jian Ren, Yanlin Hu |
| 2025 | DASFAA | Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method. | Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu |
| 2025 | GLOBECOM | Enabling Uncoordinated Random Access in Time-Varying Underwater Acoustic Networks. | Enqi Zhang, Lei Liang, Lizhao You, Zhaorui Wang, Deqing Wang, Liqun Fu |
| 2025 | WWW | Hyperbolic Diffusion Recommender Model. | Meng Yuan, Yutian Xiao, Wei Chen, Chou Zhao, Deqing Wang, Fuzhen Zhuang |
| 2025 | SIGIR | CDC: Causal Domain Clustering for Multi-Domain Recommendation. | Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang |
| 2024 | CIKM | A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. | Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao |
| 2024 | CIKM | Multi-view Temporal Knowledge Graph Reasoning. | Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang |
| 2024 | DASFAA | SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. | Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang |
| 2024 | DASFAA | Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. | Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao |
| 2024 | EMNLP | Scaling Sentence Embeddings with Large Language Models. | Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang |
| 2024 | GLOBECOM | AFDM Channel Estimation in Multi-Scale Multi-Lag Channels. | Rongyou Cao, Yuheng Zhong, Jiangbin Lyu, Deqing Wang, Liqun Fu |
| 2024 | ISNN | Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition. | Deqing Wang |
| 2024 | WWW | Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. | Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang |
| 2024 | SDM | Light POI-Guided Conversational Recommender System based on Adaptive Space. | Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su |
| 2023 | ACL | Pruning Pre-trained Language Models Without Fine-Tuning. | Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia |
| 2023 | CIKM | PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. | Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang |
| 2023 | ICDM | Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. | Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu |
| 2023 | RecSys | Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. | Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong |
| 2023 | WWW | CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. | Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng |
| 2023 | SIGIR | Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. | Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong |
| 2023 | SDM | Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. | Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang |
| 2022 | CIKM | Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. | Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao |
| 2022 | CIKM | Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. | Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu |
| 2022 | EMNLP | PromptBERT: Improving BERT Sentence Embeddings with Prompts. | Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang |
| 2022 | EMNLP | Exploiting Global and Local Hierarchies for Hierarchical Text Classification. | Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang |
| 2022 | ICASSP | Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. | Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang |
| 2022 | ICPR | SSL-DC: Improving Transductive Few-Shot Learning via Self-Supervised Learning and Distribution Calibration. | Huayi Yang, Deqing Wang, Zhengyang Zhao, Xuying Wang |
| 2021 | AAAI | LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. | Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang |
| 2021 | DASFAA | Learning Disentangled User Representation Based on Controllable VAE for Recommendation. | Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Considering Interaction Sequence of Historical Items for Conversational Recommender System. | Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng |
| 2020 | DASFAA | Cross-Domain Recommendation with Adversarial Examples. | Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng |
| 2020 | ICDM | Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. | Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He |
| 2020 | IJCAI | Collaborative Self-Attention Network for Session-based Recommendation. | Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng |
| 2019 | AAAI | Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. | Yongchun Zhu, Fuzhen Zhuang, Deqing Wang |
| 2019 | ICASSP | Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm. | Deqing Wang, Fengyu Cong, Tapani Ristaniemi |
| 2019 | IJCAI | Feature-level Deeper Self-Attention Network for Sequential Recommendation. | Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou |
| 2018 | CIKM | MultiE: Multi-Task Embedding for Knowledge Base Completion. | Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He |
| 2018 | ICDM | Cross-Domain Labeled LDA for Cross-Domain Text Classification. | Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu |
| 2018 | ISNN | Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition. | Deqing Wang, Xiaoyu Wang, Yongjie Zhu, Petri Toiviainen, Minna Huotilainen, Tapani Ristaniemi, Fengyu Cong |
| 2017 | APCC | Design of a multi-carrier different chaos shift keying communication system in doubly selective fading channels. | Menglei Chen, Weikai Xu, Deqing Wang, Lin Wang |
| 2016 | ICTAI | Transfer Learning by Linking Similar Feature Clusters for Sentiment Classification. | Wenjie Zhang, Hui Zhang, Deqing Wang, Rui Liu, He Zhang, Xianlin Jiang, Yong Chen |
| 2016 | TridentCom | Inverse Multicast Quality of Service Routing Problem with Bandwidth and Delay Under the Weighted l_1 Norm. | Longcheng Liu, Yu'an Chen, Wenhao Zheng, Deqing Wang |
| 2015 | ICDM | GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix. | Deqing Wang, Hui Zhang, Rui Liu |
| 2015 | ICDM | Complementary Aspect-Based Opinion Mining Across Asymmetric Collections. | Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, Ke Xu |
| 2015 | ISNN | Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. | Deqing Wang, Zengwu Liu, Fengyu Cong |
| 2012 | CIKM | Feature selection based on term frequency and T-test for text categorization. | Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv |
| 2010 | COMPSAC | Detect Related Bugs from Source Code Using Bug Information. | Deqing Wang, Mengxiang Lin, Hui Zhang, Hongping Hu |
| 2009 | ISMIS | Theme Extraction from Chinese Web Documents Based on Page Segmentation and Entropy. | Deqing Wang, Hui Zhang, Gang Zhou |