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ORCIDDeqing Wang 0001
Person information
- affiliation: Beihang University, Beijing, China
Other persons with the same name
- Deqing Wang — disambiguation page
- Deqing Wang 0002
![[0000-0003-3463-9702]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3463-9702")
— Beihang University, Beijing, China - Deqing Wang 0003 — Shenyang Institute of Automation, Shenyang, Liaoning, China
- Deqing Wang 0004 — Xiamen University, Xiamen, Fujian, China
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2020 – today
- 2025
[j28]Yiqi Tong, Jiarui Zhang, Shaohang Wei, Wei Guo, Fuzhen Zhuang, Deqing Wang, Xi Yang, Richeng Xuan:
MindScore: quantifying human preference for text-to-image generation through multi-view lens. Sci. China Inf. Sci. 68(6) (2025)- [j27]Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu:
FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. 37(9): 5230-5242 (2025) - [j26]Meng Yuan, Zhao Zhang, Wei Chen, Chu Zhao, Tong Cai, Deqing Wang, Rui Liu, Fuzhen Zhuang:
HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. ACM Trans. Inf. Syst. 43(4): 95:1-95:27 (2025) - [j25]Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang:
Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. ACM Trans. Inf. Syst. 43(5): 139:1-139:25 (2025) - [c37]Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong:
ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CIKM 2025: 4996-5000 - [c36]Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu:
Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method. DASFAA (6) 2025: 53-70 - [c35]Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang:
CDC: Causal Domain Clustering for Multi-Domain Recommendation. SIGIR 2025: 1840-1849 - [i17]Wei Chen, Han Ding, Meng Yuan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang:
Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment. CoRR abs/2503.13879 (2025) - [i16]Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong:
ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CoRR abs/2508.16573 (2025) - 2024
- [j24]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. 66(5): 3085-3114 (2024) - [j23]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. IEEE Trans. Knowl. Data Eng. 36(5): 1951-1963 (2024) - [j22]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng:
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. IEEE Trans. Knowl. Data Eng. 36(11): 7115-7128 (2024) - [j21]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8192-8205 (2024) - [j20]Tao Zou, Le Yu, Junchen Ye, Leilei Sun, Bowen Du, Deqing Wang:
Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification. ACM Trans. Inf. Syst. 42(6): 160:1-160:24 (2024) - [c34]Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM 2024: 799-808 - [c33]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang:
Multi-view Temporal Knowledge Graph Reasoning. CIKM 2024: 4263-4267 - [c32]Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao:
Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. DASFAA (3) 2024: 83-98 - [c31]Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang:
SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. DASFAA (4) 2024: 89-104 - [c30]Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang:
Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) 2024: 979-982 - [i15]Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu:
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning. CoRR abs/2410.17555 (2024) - 2023
- [j19]Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong:
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7557-7568 (2023) - [c29]Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia:
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) 2023: 594-605 - [c28]Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang:
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. CIKM 2023: 955-964 - [c27]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) 2023: 1453-1462 - [c26]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys 2023: 565-575 - [c25]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR 2023: 1721-1730 - [c24]Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng:
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW 2023: 1396-1404 - [i14]Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang:
A Survey on Causal Inference for Recommendation. CoRR abs/2303.11666 (2023) - [i13]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR abs/2305.10771 (2023) - [i12]Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR abs/2305.17417 (2023) - [i11]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. CoRR abs/2308.05385 (2023) - [i10]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction. CoRR abs/2308.09780 (2023) - [i9]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR abs/2308.15244 (2023) - 2022
- [j18]Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni:
Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. 38(16): 3976-3983 (2022) - [j17]Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang:
Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. IEEE Trans. Cybern. 52(7): 6555-6566 (2022) - [j16]Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing:
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7610-7620 (2022) - [c23]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 - [c22]Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CIKM 2022: 572-581 - [c21]Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang:
Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. ICASSP 2022: 8332-8336 - [i8]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - [i7]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR abs/2208.03895 (2022) - [i6]Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia:
Pruning Pre-trained Language Models Without Fine-Tuning. CoRR abs/2210.06210 (2022) - [i5]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR abs/2211.10615 (2022) - 2021
- [j15]Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Long- and short-term self-attention network for sequential recommendation. Neurocomputing 423: 580-589 (2021) - [j14]Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang:
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 736-747 (2021) - [c20]Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) 2021: 115-131 - [c19]Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) 2021: 179-194 - 2020
- [j13]Yeguang Li, Mingyuan Zhang, Liang Hu, Jun Li, Deqing Wang:
Candidate region correlation for video action detection. J. Vis. Commun. Image Represent. 71: 102818 (2020) - [j12]Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang:
Spatio-temporal deformable 3D ConvNets with attention for action recognition. Pattern Recognit. 98 (2020) - [j11]Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang:
Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. 50(11): 4709-4721 (2020) - [j10]Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao:
Distributed Complementary Binary Quantization for Joint Hash Table Learning. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5312-5323 (2020) - [c18]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c17]Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He:
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM 2020: 1334-1339 - [c16]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020: 2591-2597
2010 – 2019
- 2019
- [c15]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI 2019: 4320-4326 - 2018
- [j9]Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Ke Xu:
Complementary Aspect-Based Opinion Mining. IEEE Trans. Knowl. Data Eng. 30(2): 249-262 (2018) - [c14]Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He:
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018: 1715-1718 - [c13]Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM 2018: 187-196 - [i4]Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. CoRR abs/1809.05820 (2018) - 2016
- [j8]Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang:
Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective. Neurocomputing 173: 845-854 (2016) - [j7]Ya Wang, Xianglong Liu, Danchen Zhang, Deqing Wang, Yuan Yang:
Bit selection via walks on graph for hash-based nearest neighbor search. Neurocomputing 213: 137-146 (2016) - [c12]Wenjie Zhang, Hui Zhang, Deqing Wang, Rui Liu, He Zhang, Xianlin Jiang, Yong Chen:
Transfer Learning by Linking Similar Feature Clusters for Sentiment Classification. ICTAI 2016: 1019-1026 - 2015
- [c11]Hui Zhang, Wenhan Chao, Deqing Wang:
Semi-supervised Learning on Cross-Lingual Sentiment Analysis with Space Transfer. BigDataService 2015: 371-377 - [c10]Weifan Zhang, Hui Zhang, Yuan Zuo, Deqing Wang:
Modeling Both Coarse-Grained and Fine-Grained Topics in Massive Text Data. BigDataService 2015: 378-383 - [c9]Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, Ke Xu:
Complementary Aspect-Based Opinion Mining Across Asymmetric Collections. ICDM 2015: 669-678 - [c8]Deqing Wang, Hui Zhang, Rui Liu:
GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix. ICDM 2015: 1027-1032 - 2014
- [j6]Hui Zhang, Deqing Wang, Li Wang, Zhuming Bi, Yong Chen:
A semantics-based method for clustering of Chinese web search results. Enterp. Inf. Syst. 8(1): 147-165 (2014) - [j5]Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv, Datao Wang:
t-Test feature selection approach based on term frequency for text categorization. Pattern Recognit. Lett. 45: 1-10 (2014) - 2013
- [j4]Deqing Wang, Junjie Wu, Hui Zhang, Ke Xu, Mengxiang Lin:
Towards enhancing centroid classifier for text classification - A border-instance approach. Neurocomputing 101: 299-308 (2013) - [j3]Deqing Wang, Hui Zhang:
Inverse-Category-Frequency based Supervised Term Weighting Schemes for Text Categorization. J. Inf. Sci. Eng. 29(2): 209-225 (2013) - [c7]Yong Chen, Hui Zhang, Yuan Zuo, Deqing Wang:
An Improved Regularized Latent Semantic Indexing with L1/2 Regularization and Non-negative Constraints. CSE 2013: 1075-1082 - [i3]Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv:
Feature Selection Based on Term Frequency and T-Test for Text Categorization. CoRR abs/1305.0638 (2013) - 2012
- [j2]Hui Zhang, Deqing Wang, Wenjun Wu, Hongping Hu:
Term frequency - function of document frequency: a new term weighting scheme for enterprise information retrieval. Enterp. Inf. Syst. 6(4): 433-444 (2012) - [j1]Deqing Wang, Hui Zhang, Rui Liu, Mengxiang Lin, Wenjun Wu:
Predicting Bugs' Components via Mining Bug Reports. J. Softw. 7(5): 1149-1154 (2012) - [c6]Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv:
Feature selection based on term frequency and T-test for text categorization. CIKM 2012: 1482-1486 - 2011
- [i2]Deqing Wang, Mengxiang Lin, Hui Zhang, Hongping Hu:
Detect Related Bugs from Source Code Using Bug Information. CoRR abs/1103.3569 (2011) - 2010
- [c5]Deqing Wang, Mengxiang Lin, Hui Zhang, Hongping Hu:
Detect Related Bugs from Source Code Using Bug Information. COMPSAC 2010: 228-237 - [i1]Deqing Wang, Hui Zhang, Wenjun Wu, Mengxiang Lin:
Inverse Category Frequency based supervised term weighting scheme for text categorization. CoRR abs/1012.2609 (2010)
2000 – 2009
- 2009
- [c4]Deqing Wang, Hui Zhang, Gang Zhou:
Theme Extraction from Chinese Web Documents Based on Page Segmentation and Entropy. ISMIS 2009: 221-230 - 2008
- [c3]Hui Zhang, Liping Zhao, Rui Liu, Deqing Wang:
A No-Word-Segmentation Hierarchical Clustering Approach to Chinese Web Search Results. AIRS 2008: 573-577 - [c2]Kun Gao, Rui Liu, Deqing Wang:
Web Object Mining Based on Entropy Pruning. SKG 2008: 433-436 - 2007
- [c1]Deqing Wang, Hui Zhang, Liping Zhao, Ke Xie:
A Clustering Algorithm of No-Word-Segmentation for Chinese Search Engine. SKG 2007: 258-261
Coauthor Index
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