Yingce Xia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
13
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models. | Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang |
| 2026 | ACL | CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors. | Hang Su, Zequn Liu, Chen Hu, Xuesong Lu, Yingce Xia, Liu Zhen |
| 2024 | CIKM | Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. | Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan |
| 2023 | AAAI | Retrosynthesis Prediction with Local Template Retrieval. | Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin |
| 2023 | ACL | What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. | Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Nomie Elhadad |
| 2023 | ACL | MolXPT: Wrapping Molecules with Text for Generative Pre-training. | Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu |
| 2023 | EMNLP | BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. | Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan |
| 2023 | ICLR | De Novo Molecular Generation via Connection-aware Motif Mining. | Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu |
| 2023 | ICLR | 𝒪-GNN: incorporating ring priors into molecular modeling. | Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2023 | ICML | Retrosynthetic Planning with Dual Value Networks. | Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu |
| 2023 | KDD | Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. | Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu |
| 2023 | KDD | Dual-view Molecular Pre-training. | Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu |
| 2023 | WWW | Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. | Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan |
| 2022 | AAAI | DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. | Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian |
| 2022 | ICLR | Target-Side Input Augmentation for Sequence to Sequence Generation. | Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan |
| 2022 | KDD | RetroGraph: Retrosynthetic Planning with Graph Search. | Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin |
| 2022 | KDD | Unified 2D and 3D Pre-Training of Molecular Representations. | Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2021 | AAAI | Learning to Reweight with Deep Interactions. | Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li |
| 2021 | ICLR | IOT: Instance-wise Layer Reordering for Transformer Structures. | Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2021 | ICML | Temporally Correlated Task Scheduling for Sequence Learning. | Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu |
| 2021 | NAACL | UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. | Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu |
| 2020 | AAAI | Transductive Ensemble Learning for Neural Machine Translation. | Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu |
| 2020 | ACML | Dual Learning: Theoretical Study and an Algorithmic Extension. | Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu |
| 2020 | ECCV | TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. | Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo |
| 2020 | ICLR | Incorporating BERT into Neural Machine Translation. | Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2020 | ICML | Sequence Generation with Mixed Representations. | Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu |
| 2019 | AAAI | Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. | Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin |
| 2019 | ACL | Soft Contextual Data Augmentation for Neural Machine Translation. | Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu |
| 2019 | ACL | Depth Growing for Neural Machine Translation. | Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2019 | EMNLP | Multilingual Neural Machine Translation with Language Clustering. | Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu |
| 2019 | EMNLP | Exploiting Monolingual Data at Scale for Neural Machine Translation. | Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2019 | ICLR | Multi-Agent Dual Learning. | Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu |
| 2019 | IJCAI | Deliberation Learning for Image-to-Image Translation. | Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen |
| 2019 | IJCAI | Image-to-Image Translation with Multi-Path Consistency Regularization. | Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen |
| 2018 | AAAI | Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. | Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu |
| 2018 | ACML | Adversarial Neural Machine Translation. | Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2018 | CVPR | Conditional Image-to-Image Translation. | Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu |
| 2018 | ICML | Model-Level Dual Learning. | Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2018 | IJCAI | Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. | Haifang Li, Yingce Xia, Wensheng Zhang |
| 2017 | AAAI | Infinitely Many-Armed Bandits with Budget Constraints. | Haifang Li, Yingce Xia |
| 2017 | ICML | Dual Supervised Learning. | Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu |
| 2017 | IJCAI | Dual Inference for Machine Learning. | Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2016 | IJCAI | Budgeted Multi-Armed Bandits with Multiple Plays. | Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu |
| 2015 | ACML | Budgeted Bandit Problems with Continuous Random Costs. | Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin |
| 2015 | IJCAI | Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. | Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings |
| 2015 | IJCAI | Thompson Sampling for Budgeted Multi-Armed Bandits. | Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2014 | AAAI | Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. | Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu |