Yingce Xia

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 117

Top Venues

Publications

Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CoRR (2024)
Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. CoRR (2023)
Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL (2023)
Griffin Adams, Bichlien H. Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. CoRR (2023)
Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
De Novo Molecular Generation via Connection-aware Motif Mining. CoRR (2023)
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR (2023)
Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
De Novo Molecular Generation via Connection-aware Motif Mining. ICLR (2023)
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
Dual-view Molecular Pre-training. KDD (2023)
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
Retrosynthesis Prediction with Local Template Retrieval. AAAI (2023)
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) (2023)
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li
Masked Contrastive Representation Learning for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. ACL (1) (2023)
Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. EMNLP (2023)
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD (2023)
Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan
Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. WWW (2023)
Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24 (1) (2023)
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS (2023)
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
Retrosynthetic Planning with Dual Value Networks. ICML (2023)
Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
𝒪-GNN: incorporating ring priors into molecular modeling. ICLR (2023)
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
Retrosynthetic Planning with Dual Value Networks. CoRR (2023)
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
FABind: Fast and Accurate Protein-Ligand Binding. CoRR (2023)
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
Retrosynthesis Prediction with Local Template Retrieval. CoRR (2023)
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR (2022)
Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
A study of BERT for context-aware neural machine translation. Mach. Learn. 111 (3) (2022)
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23 (6) (2022)
Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR (2022)
Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan
Target-Side Input Augmentation for Sequence to Sequence Generation. ICLR (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
RetroGraph: Retrosynthetic Planning with Graph Search. KDD (2022)
Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
Back translation for molecule generation. Bioinform. 38 (5) (2022)
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. AAAI (2022)
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
Direct Molecular Conformation Generation. CoRR (2022)
Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
SPRoBERTa: protein embedding learning with local fragment modeling. Briefings Bioinform. 23 (6) (2022)
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu
Discovering drug-target interaction knowledge from biomedical literature. Bioinform. 38 (22) (2022)
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Unified 2D and 3D Pre-Training of Molecular Representations. CoRR (2022)
Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin
End-to-end entity-aware neural machine translation. Mach. Learn. 111 (3) (2022)
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Unified 2D and 3D Pre-Training of Molecular Representations. KDD (2022)
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR (2022)
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. CoRR (2022)
Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. CoRR (2022)
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR (2022)
Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR (2021)
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu
Discovering Drug-Target Interaction Knowledge from Biomedical Literature. CoRR (2021)
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
Dual Learning: Theoretical Study and an Algorithmic Extension. SN Comput. Sci. 2 (5) (2021)
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
IOT: Instance-wise Layer Reordering for Transformer Structures. ICLR (2021)
Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. IWSLT (2021)
Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Dual-view Molecule Pre-training. CoRR (2021)
Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR (2021)
Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR (2021)
Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, Tie-Yan Liu
Stylized Dialogue Generation with Multi-Pass Dual Learning. NeurIPS (2021)
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
IOT: Instance-wise Layer Reordering for Transformer Structures. CoRR (2021)
Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT (2021)
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
Learning to Reweight with Deep Interactions. AAAI (2021)
Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu
Temporally Correlated Task Scheduling for Sequence Learning. ICML (2021)
Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. CoRR (2021)
Jianxin Lin, Yingce Xia, Sen Liu, Shuxin Zhao, Zhibo Chen
ZstGAN: An adversarial approach for Unsupervised Zero-Shot Image-to-image Translation. Neurocomputing 461 (2021)
Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
Searching Better Architectures for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
Multi-branch Attentive Transformer. CoRR (2020)
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
Learn to Use Future Information in Simultaneous Translation. CoRR (2020)
Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu
Sequence Generation with Mixed Representations. ICML (2020)
Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu
DualLip: A System for Joint Lip Reading and Generation. ACM Multimedia (2020)
Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Transductive Ensemble Learning for Neural Machine Translation. AAAI (2020)
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR (2020)
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. CoRR (2020)
Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu
DualLip: A System for Joint Lip Reading and Generation. CoRR (2020)
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
Learning to Teach with Deep Interactions. CoRR (2020)
Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu
COSEA: Convolutional Code Search with Layer-wise Attention. CoRR (2020)
Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Incorporating BERT into Neural Machine Translation. ICLR (2020)
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li
Masked Contrastive Representation Learning for Reinforcement Learning. CoRR (2020)
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. ECCV (4) (2020)
Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Incorporating BERT into Neural Machine Translation. CoRR (2020)
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML (2020)
Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen
Learning to Transfer: Unsupervised Meta Domain Translation. CoRR (2019)
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
Depth Growing for Neural Machine Translation. ACL (1) (2019)
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu
Exploiting Monolingual Data at Scale for Neural Machine Translation. EMNLP/IJCNLP (1) (2019)
Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu
Soft Contextual Data Augmentation for Neural Machine Translation. CoRR (2019)
Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. CoRR (2019)
Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
Image-to-Image Translation with Multi-Path Consistency Regularization. IJCAI (2019)
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (10) (2019)
Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
Image-to-Image Translation with Multi-Path Consistency Regularization. CoRR (2019)
Xu Tan, Yingce Xia, Lijun Wu, Tao Qin
Efficient Bidirectional Neural Machine Translation. CoRR (2019)
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
Multilingual Neural Machine Translation with Language Clustering. EMNLP/IJCNLP (1) (2019)
Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen
Deliberation Learning for Image-to-Image Translation. IJCAI (2019)
Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Multi-Agent Dual Learning. ICLR (Poster) (2019)
Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen
Unpaired Image-to-Image Translation with Domain Supervision. CoRR (2019)
Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
Microsoft Research Asia's Systems for WMT19. CoRR (2019)
Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. AAAI (2019)
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
Depth Growing for Neural Machine Translation. CoRR (2019)
Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Neural Machine Translation with Soft Prototype. NeurIPS (2019)
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
Multilingual Neural Machine Translation with Language Clustering. CoRR (2019)
Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
Microsoft Research Asia's Systems for WMT19. WMT (2) (2019)
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu
Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) (2019)
Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu
Learning to Teach with Dynamic Loss Functions. NeurIPS (2018)
Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR (2018)
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. AAAI (2018)
Haifang Li, Yingce Xia, Wensheng Zhang
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. CoRR (2018)
Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, Tie-Yan Liu
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. NeurIPS (2018)
Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Model-Level Dual Learning. ICML (2018)
Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu
Conditional Image-to-Image Translation. CVPR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yingce Xia