Zhao Zhang - RankMe

92 papers A* 19A 11B 4Journal 47Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval. WSDM Jiawei He, Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Yongjun Xu
2026	A	`conf`	CAT-ID WSDM Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2026	A*	`conf`	Incentivizing Agentic Reasoning Capability with Outcome Supervision for Knowledge Base Question Answering. WWW Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin
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`	Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation. CoRR Wei Chen, Xingyu Guo, Shuang Li, Yan Zhong, Zhao Zhang, Fuzhen Zhuang, Hongrui Liu, Libang Zhang, Guo Ye, Huimei He
2026	A*	`conf`	Multi-Aspect Cross-modal Quantization for Generative Recommendation. AAAI Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen, Peng Yan, Fuzhen Zhuang, Zhao Zhang
2026	J	`jnl`	UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents. CoRR Zheng Dou, Zhao Zhang, Deqing Wang, Yikun Ban, Fuzhen Zhuang
2025	J	`jnl`	A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction. J. Comput. Sci. Technol. Tangwen Qian, Yuan Wang, Yong-Jun Xu, Zhao Zhang, Lin Wu, Qiang Qiu, Fei Wang
2025	J	`jnl`	AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. IEEE Trans. Knowl. Data Eng. Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu
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	J	`jnl`	CAT-ID CoRR Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2025	J	`jnl`	DUET: Dual Model Co-Training for Entire Space CTR Prediction. CoRR Yutian Xiao, Meng Yuan, Fuzhen Zhuang, Wei Chen, Shukuan Wang, Shanqi Liu, Chao Feng, Wenhui Yu, Xiang Li, Lantao Hu, Han Li, Zhao Zhang
2025	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2025	A*	`conf`	FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. IJCAI Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang
2025	J	`jnl`	FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. CoRR Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang
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`	GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. IEEE Trans. Knowl. Data Eng. Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu
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`	HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search. ACL (6) Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Zenghua Xia, Fei Jiang, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025	J	`jnl`	ID-centric Pre-training for Recommendation. ACM Trans. Inf. Syst. Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Zhulin An, Yongjun Xu
2025	J	`jnl`	KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA. CoRR Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin, Jiafeng Guo
2025	J	`jnl`	Knowledge Error Detection via Textual and Structural Joint Learning. Big Data Min. Anal. Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He
2025	J	`jnl`	MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction. CoRR Yutian Xiao, Shukuan Wang, Binhao Wang, Zhao Zhang, Yanze Zhang, Shanqi Liu, Chao Feng, Xiang Li, Fuzhen Zhuang
2025	A*	`conf`	Mixed-Curvature Multi-Modal Knowledge Graph Completion. AAAI Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang
2025	—	`conf`	Multi-level Relevance Document Identifier Learning for Generative Retrieval. ACL (1) Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025	A	`conf`	STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. CIKM Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025	J	`jnl`	STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. CoRR Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025	B	`conf`	Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding. COLING Zhanpeng Guan, Zhao Zhang, Yiqing Wu, Fuwei Zhang, Yongjun Xu
2025	A*	`conf`	Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. AAAI Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2025	A*	`conf`	Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization. EMNLP Jing Yu, Yibo Zhao, Jiapeng Zhu, Wenming Shao, Bo Pang, Zhao Zhang, Xiang Li
2025	J	`jnl`	Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization. CoRR Jing Yu, Yibo Zhao, Jiapeng Zhu, Wenming Shao, Bo Pang, Zhao Zhang, Xiang Li
2024	A*	`conf`	Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu
2024	A*	`conf`	DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	J	`jnl`	DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	A	`conf`	Exploring High-Order User Preference with Knowledge Graph for Recommendation. CIKM Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu
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`	FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
2024	A*	`conf`	GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024	J	`jnl`	GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024	J	`jnl`	ID-centric Pre-training for Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	A*	`conf`	Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong
2024	—	`conf`	Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu
2024	A	`conf`	Multi-view Temporal Knowledge Graph Reasoning. CIKM Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024	—	`conf`	Self-Improvement Programming for Temporal Knowledge Graph Question Answering. LREC/COLING Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
2024	J	`jnl`	Self-Improvement Programming for Temporal Knowledge Graph Question Answering. CoRR Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
2024	J	`jnl`	Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. CoRR Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daxin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2024	A*	`conf`	Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu
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	—	`conf`	A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li
2023	—	`conf`	An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. EMNLP (Industry Track) Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Yongjun Xu
2023	A*	`conf`	Attacking Pre-trained Recommendation. SIGIR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Attacking Pre-trained Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2023	J	`jnl`	HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
2023	J	`jnl`	Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
2023	A	`conf`	Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
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`	Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li
2023	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2023	A*	`conf`	Weighted Knowledge Graph Embedding. SIGIR Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
2022	B	`conf`	A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022	J	`jnl`	A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022	J	`jnl`	A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. Sensors Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang
2022	A	`conf`	Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
2022	—	`conf`	BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
2022	B	`conf`	Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He
2022	—	`conf`	Customized Conversational Recommender Systems. ECML/PKDD (2) Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	J	`jnl`	Customized Conversational Recommender Systems. CoRR Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	B	`conf`	Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. COLING Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	—	`conf`	Human Mobility Identification by Deep Behavior Relevant Location Representation. DASFAA (2) Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu
2022	—	`conf`	Knowledge-Aware Topological Networks for Recommendation. CCKS Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi
2022	A*	`conf`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2022	A*	`conf`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	J	`jnl`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	A*	`conf`	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. KDD Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
2022	J	`jnl`	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. CoRR Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
2022	A	`conf`	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CIKM Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
2022	J	`jnl`	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CoRR Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
2022	—	`conf`	Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. ICANN (2) Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li
2022	A*	`conf`	Trajectory Prediction from Hierarchical Perspective. ACM Multimedia Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang
2021	A	`conf`	Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He
2021	J	`jnl`	Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
2021	J	`jnl`	Knowledge graph embedding with shared latent semantic units. Neural Networks Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
2021	J	`jnl`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2021	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2020	A*	`conf`	Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
2019	J	`jnl`	Knowledge triple mining via multi-task learning. Inf. Syst. Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong
2018	A*	`conf`	Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
2018	A	`conf`	MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He