Deqing Wang - RankMe

94 papers A* 9A 9B 2C 1Misc 1Journal 57Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Does Your Reasoning Model Implicitly Know When to Stop Thinking? CoRR Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuanda Wang, Zhixia Zhang, Hongyan Xie, Songshi Liang, Zehao Chen, Xuefeng Xiao, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang
2026	J	`jnl`	ELStar: An elastic long- and short-term multi-interest user modeling network for agricultural news recommendation. Knowl. Based Syst. Yiqi Tong, Wei Guo, Fuzhen Zhuang, Deqing Wang, Huarui Wu
2026	J	`jnl`	Heterogeneous Agent Collaborative Reinforcement Learning. CoRR Zhixia Zhang, Zixuan Huang, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban
2026	J	`jnl`	Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation. CoRR Wei Chen, Xingyu Guo, Shuang Li, Zhao Zhang, Yan Zhong, Fuzhen Zhuang, Deqing Wang
2026	J	`jnl`	Real-Time Aligned Reward Model beyond Semantics. CoRR Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuefeng Xiao, Hongyan Xie, Li Huaqiu, Songshi Liang, Zhongxiang Dai, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang
2026	J	`jnl`	TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer. CoRR Yiwen Chen, Yiqing Wu, Huishi Luo, Fuzhen Zhuang, Deqing Wang
2026	J	`jnl`	UniARM: Towards a Unified Autoregressive Reward Model for Multi-Objective Test-Time Alignment. CoRR Hongyan Xie, Yikun Ban, Ruiyu Fang, Zixuan Huang, Deqing Wang, Jianxin Li, Yitong Yao, Chao Wang, Shuangyong Song
2026	J	`jnl`	UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents. CoRR Zheng Dou, Zhao Zhang, Deqing Wang, Yikun Ban, Fuzhen Zhuang
2026	J	`jnl`	Weak-Driven Learning: How Weak Agents make Strong Agents Stronger. CoRR Zehao Chen, Gongxun Li, Tianxiang Ai, Yifei Li, Zixuan Huang, Wang Zhou, Fuzhen Zhuang, Xianglong Liu, Jianxin Li, Deqing Wang, Yikun Ban
2026	J	`jnl`	Your Group-Relative Advantage Is Biased. CoRR Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban
2025	J	`jnl`	Adaptive Sample Scheduling for Direct Preference Optimization. CoRR Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang
2025	J	`jnl`	Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. ACM Trans. Inf. Syst. Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang
2025	J	`jnl`	Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment. CoRR Wei Chen, Han Ding, Meng Yuan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang
2025	A*	`conf`	CDC: Causal Domain Clustering for Multi-Domain Recommendation. SIGIR Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
2025	J	`jnl`	FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu
2025	J	`jnl`	HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. ACM Trans. Inf. Syst. Meng Yuan, Zhao Zhang, Wei Chen, Chu Zhao, Tong Cai, Deqing Wang, Rui Liu, Fuzhen Zhuang
2025	—	`conf`	Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method. DASFAA (6) Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu
2025	J	`jnl`	MindScore: quantifying human preference for text-to-image generation through multi-view lens. Sci. China Inf. Sci. Yiqi Tong, Jiarui Zhang, Shaohang Wei, Wei Guo, Fuzhen Zhuang, Deqing Wang, Xi Yang, Richeng Xuan
2025	J	`jnl`	Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation. CoRR Hongyan Xie, Yitong Yao, Yikun Ban, Zixuan Huang, Deqing Wang, Zhenhe Wu, Haoxiang Su, Chao Wang, Shuangyong Song
2025	A	`conf`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CIKM Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025	J	`jnl`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CoRR Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2024	A	`conf`	A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024	J	`jnl`	Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification. ACM Trans. Inf. Syst. Tao Zou, Le Yu, Junchen Ye, Leilei Sun, Bowen Du, Deqing Wang
2024	—	`conf`	Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. DASFAA (3) Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao
2024	J	`jnl`	Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. IEEE Trans. Knowl. Data Eng. Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
2024	—	`conf`	Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
2024	J	`jnl`	FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning. CoRR Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu
2024	J	`jnl`	Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2024	J	`jnl`	Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2024	A	`conf`	Multi-view Temporal Knowledge Graph Reasoning. CIKM Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024	—	`conf`	SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. DASFAA (4) Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang
2024	J	`jnl`	Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. IEEE Trans. Knowl. Data Eng. Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng
2023	J	`jnl`	A Survey on Causal Inference for Recommendation. CoRR Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang
2023	J	`jnl`	Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. CoRR Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
2023	A*	`conf`	CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
2023	J	`jnl`	Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction. CoRR Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
2023	—	`conf`	Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2023	A	`conf`	Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
2023	J	`jnl`	Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
2023	J	`jnl`	Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
2023	A	`conf`	PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. CIKM Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang
2023	—	`conf`	Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2023	A*	`conf`	Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023	J	`jnl`	Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023	J	`jnl`	Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong
2022	A	`conf`	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022	J	`jnl`	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022	J	`jnl`	Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. IEEE Trans. Cybern. Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang
2022	J	`jnl`	DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Trans. Neural Networks Learn. Syst. Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing
2022	J	`jnl`	Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2022	Misc	`conf`	Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. ICASSP Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang
2022	J	`jnl`	Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni
2022	J	`jnl`	Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng
2022	A	`conf`	Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CIKM Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
2022	J	`jnl`	Pruning Pre-trained Language Models Without Fine-Tuning. CoRR Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2021	J	`jnl`	Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang
2021	—	`conf`	Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng
2021	—	`conf`	Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021	J	`jnl`	Long- and short-term self-attention network for sequential recommendation. Neurocomputing Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2020	J	`jnl`	Candidate region correlation for video action detection. J. Vis. Commun. Image Represent. Yeguang Li, Mingyuan Zhang, Liang Hu, Jun Li, Deqing Wang
2020	A*	`conf`	Collaborative Self-Attention Network for Session-based Recommendation. IJCAI Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
2020	—	`conf`	Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2020	J	`jnl`	Distributed Complementary Binary Quantization for Joint Hash Table Learning. IEEE Trans. Neural Networks Learn. Syst. Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao
2020	A*	`conf`	Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He
2020	J	`jnl`	Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang
2020	J	`jnl`	Spatio-temporal deformable 3D ConvNets with attention for action recognition. Pattern Recognit. Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang
2019	A*	`conf`	Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou
2018	J	`jnl`	Complementary Aspect-Based Opinion Mining. IEEE Trans. Knowl. Data Eng. Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Ke Xu
2018	A*	`conf`	Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018	J	`jnl`	Cross-Domain Labeled LDA for Cross-Domain Text Classification. CoRR Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018	A	`conf`	MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He
2016	J	`jnl`	Bit selection via walks on graph for hash-based nearest neighbor search. Neurocomputing Ya Wang, Xianglong Liu, Danchen Zhang, Deqing Wang, Yuan Yang
2016	B	`conf`	Transfer Learning by Linking Similar Feature Clusters for Sentiment Classification. ICTAI Wenjie Zhang, Hui Zhang, Deqing Wang, Rui Liu, He Zhang, Xianlin Jiang, Yong Chen
2016	J	`jnl`	Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective. Neurocomputing Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang
2015	A*	`conf`	Complementary Aspect-Based Opinion Mining Across Asymmetric Collections. ICDM Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, Ke Xu
2015	A*	`conf`	GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix. ICDM Deqing Wang, Hui Zhang, Rui Liu
2015	—	`conf`	Modeling Both Coarse-Grained and Fine-Grained Topics in Massive Text Data. BigDataService Weifan Zhang, Hui Zhang, Yuan Zuo, Deqing Wang
2015	—	`conf`	Semi-supervised Learning on Cross-Lingual Sentiment Analysis with Space Transfer. BigDataService Hui Zhang, Wenhan Chao, Deqing Wang
2014	J	`jnl`	A semantics-based method for clustering of Chinese web search results. Enterp. Inf. Syst. Hui Zhang, Deqing Wang, Li Wang, Zhuming Bi, Yong Chen
2014	J	`jnl`	t-Test feature selection approach based on term frequency for text categorization. Pattern Recognit. Lett. Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv, Datao Wang
2013	—	`conf`	An Improved Regularized Latent Semantic Indexing with L1/2 Regularization and Non-negative Constraints. CSE Yong Chen, Hui Zhang, Yuan Zuo, Deqing Wang
2013	J	`jnl`	Feature Selection Based on Term Frequency and T-Test for Text Categorization CoRR Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv
2013	J	`jnl`	Inverse-Category-Frequency based Supervised Term Weighting Schemes for Text Categorization. J. Inf. Sci. Eng. Deqing Wang, Hui Zhang
2013	J	`jnl`	Towards enhancing centroid classifier for text classification - A border-instance approach. Neurocomputing Deqing Wang, Junjie Wu, Hui Zhang, Ke Xu, Mengxiang Lin
2012	A	`conf`	Feature selection based on term frequency and T-test for text categorization. CIKM Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv
2012	J	`jnl`	Predicting Bugs' Components via Mining Bug Reports. J. Softw. Deqing Wang, Hui Zhang, Rui Liu, Mengxiang Lin, Wenjun Wu
2012	J	`jnl`	Term frequency - function of document frequency: a new term weighting scheme for enterprise information retrieval. Enterp. Inf. Syst. Hui Zhang, Deqing Wang, Wenjun Wu, Hongping Hu
2011	J	`jnl`	Detect Related Bugs from Source Code Using Bug Information CoRR Deqing Wang, Mengxiang Lin, Hui Zhang, Hongping Hu
2010	B	`conf`	Detect Related Bugs from Source Code Using Bug Information. COMPSAC Deqing Wang, Mengxiang Lin, Hui Zhang, Hongping Hu
2010	J	`jnl`	Inverse Category Frequency based supervised term weighting scheme for text categorization CoRR Deqing Wang, Hui Zhang, Wenjun Wu, Mengxiang Lin
2009	C	`conf`	Theme Extraction from Chinese Web Documents Based on Page Segmentation and Entropy. ISMIS Deqing Wang, Hui Zhang, Gang Zhou
2008	—	`conf`	A No-Word-Segmentation Hierarchical Clustering Approach to Chinese Web Search Results. AIRS Hui Zhang, Liping Zhao, Rui Liu, Deqing Wang
2008	—	`conf`	Web Object Mining Based on Entropy Pruning. SKG Kun Gao, Rui Liu, Deqing Wang
2007	—	`conf`	A Clustering Algorithm of No-Word-Segmentation for Chinese Search Engine. SKG Deqing Wang, Hui Zhang, Liping Zhao, Ke Xie