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ORCIDXu Sun 0001
Person information
- affiliation: Peking University, School of EECS, MOE Key Lab of Computational Linguistics, China
- affiliation (PhD 2010): University of Tokyo, Japan
Other persons with the same name
- Xu Sun — disambiguation page
- Xu Sun 0002
![[0000-0002-2340-7095]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2340-7095")
— University of Nottingham Ningbo, Faculty of Engineering, China (and 1 more) - Xu Sun 0003 — Xi'an Jiaotong-Liverpool University, Department of Mathematical Sciences, China
- Xu Sun 0004 — Columbia University, Department of Industrial Engineering and Operations Research, New York, NY, USA
- Xu Sun 0005 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Xu Sun 0006 — University of Hong Kong, Hong Kong (and 2 more)
- Xu Sun 0007 — Hangzhou Applied Acoustics Research Institute, China
- Xu Sun 0008 — Royal Institute of Technology, KTH, Kista, Sweden
- Xu Sun 0009 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Xu Sun 0010 — Wuhan University, School of Cyber Science and Engineering, China
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2020 – today
- 2023
[j16]Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively scaled adversarial training in time series. Neurocomputing 522: 11-23 (2023)- [c133]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. ACL (Findings) 2023: 2495-2517 - [c132]Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun:
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter. ACL (Findings) 2023: 5315-5328 - [c131]Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou:
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning. ACL (1) 2023: 11908-11922 - [c130]Sishuo Chen, Wenkai Yang, Xiaohan Bi, Xu Sun:
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features. EACL (Findings) 2023: 552-567 - [i135]Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui:
A Survey for In-context Learning. CoRR abs/2301.00234 (2023) - [i134]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. CoRR abs/2301.10394 (2023) - [i133]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. CoRR abs/2301.10400 (2023) - [i132]Sishuo Chen, Wenkai Yang, Xiaohan Bi, Xu Sun:
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features. CoRR abs/2301.12715 (2023) - [i131]Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun:
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. CoRR abs/2304.04704 (2023) - [i130]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. CoRR abs/2305.04547 (2023) - [i129]Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun:
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter. CoRR abs/2305.12449 (2023) - [i128]Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun:
Can Language Models Understand Physical Concepts? CoRR abs/2305.14057 (2023) - [i127]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. CoRR abs/2305.14160 (2023) - [i126]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Text Watermarking for Large Language Models. CoRR abs/2307.15992 (2023) - [i125]Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou:
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning. CoRR abs/2308.13218 (2023) - [i124]Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun:
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction. CoRR abs/2309.05608 (2023) - [i123]Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou:
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. CoRR abs/2310.19060 (2023) - 2022
- [j15]Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun:
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9255-9268 (2022) - [j14]Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun:
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 594-604 (2022) - [j13]Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou:
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention. ACM Trans. Knowl. Discov. Data 16(1): 1:1-1:19 (2022) - [c129]Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun:
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. AAAI 2022: 9180-9189 - [c128]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Hierarchical Inductive Transfer for Continual Dialogue Learning. ACL (Findings) 2022: 693-699 - [c127]Xiuyu Wu, Jingsong Yu, Xu Sun, Yunfang Wu:
Position Offset Label Prediction for Grammatical Error Correction. COLING 2022: 5409-5418 - [c126]Zhiyuan Zhang, Qi Su, Xu Sun:
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. EMNLP (Findings) 2022: 339-354 - [c125]Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun:
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. EMNLP (Findings) 2022: 355-372 - [c124]Sishuo Chen, Wenkai Yang, Zhiyuan Zhang, Xiaohan Bi, Xu Sun:
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks. EMNLP (Findings) 2022: 668-683 - [c123]Zhiyuan Zhang, Ruixuan Luo, Qi Su, Xu Sun:
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization. EMNLP 2022: 3888-3903 - [c122]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) 2022: 6391-6402 - [c121]Sishuo Chen, Xiaohan Bi, Rundong Gao, Xu Sun:
Holistic Sentence Embeddings for Better Out-of-Distribution Detection. EMNLP (Findings) 2022: 6676-6686 - [c120]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR 2022 - [c119]Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. IJCAI 2022: 2852-2858 - [c118]Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton:
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. NeurIPS 2022 - [c117]Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. ECML/PKDD (6) 2022: 105-120 - [c116]Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Stock Trading Volume Prediction with Dual-Process Meta-Learning. ECML/PKDD (6) 2022: 137-153 - [i122]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Hierarchical Inductive Transfer for Continual Dialogue Learning. CoRR abs/2203.10484 (2022) - [i121]Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Rethinking the Openness of CLIP. CoRR abs/2206.01986 (2022) - [i120]Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. CoRR abs/2208.07232 (2022) - [i119]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR abs/2210.05230 (2022) - [i118]Zhiyuan Zhang, Qi Su, Xu Sun:
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. CoRR abs/2210.06894 (2022) - [i117]Zhiyuan Zhang, Ruixuan Luo, Qi Su, Xu Sun:
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization. CoRR abs/2210.06895 (2022) - [i116]Sishuo Chen, Xiaohan Bi, Rundong Gao, Xu Sun:
Holistic Sentence Embeddings for Better Out-of-Distribution Detection. CoRR abs/2210.07485 (2022) - [i115]Sishuo Chen, Wenkai Yang, Zhiyuan Zhang, Xiaohan Bi, Xu Sun:
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks. CoRR abs/2210.07907 (2022) - [i114]Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun:
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. CoRR abs/2210.09545 (2022) - [i113]Fenglin Liu, Xuewei Ma, Xuancheng Ren, Xian Wu, Wei Fan, Yuexian Zou, Xu Sun:
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning. CoRR abs/2210.10914 (2022) - [i112]Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton:
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. CoRR abs/2210.12777 (2022) - [i111]Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou:
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention. CoRR abs/2210.16431 (2022) - [i110]Lean Wang, Lei Li, Xu Sun:
Gradient Knowledge Distillation for Pre-trained Language Models. CoRR abs/2211.01071 (2022) - [i109]Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Stock Trading Volume Prediction with Dual-Process Meta-Learning. CoRR abs/2211.01762 (2022) - [i108]Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun:
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning. CoRR abs/2211.12148 (2022) - 2021
- [j12]Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
Adversarial parameter defense by multi-step risk minimization. Neural Networks 144: 154-163 (2021) - [c115]Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun:
Collaborative Group Learning. AAAI 2021: 7431-7438 - [c114]Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li:
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. AAAI 2021: 11648-11656 - [c113]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. AAAI 2021: 12812-12820 - [c112]Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
EQG-RACE: Examination-Type Question Generation. AAAI 2021: 13143-13151 - [c111]Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu:
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI 2021: 13736-13744 - [c110]Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun:
Contrastive Attention for Automatic Chest X-ray Report Generation. ACL/IJCNLP (Findings) 2021: 269-280 - [c109]Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun:
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. ACL/IJCNLP (Findings) 2021: 281-292 - [c108]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) 2021: 514-524 - [c107]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
Rethinking Stealthiness of Backdoor Attack against NLP Models. ACL/IJCNLP (1) 2021: 5543-5557 - [c106]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) 2021: 379-389 - [c105]Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade. EMNLP (Findings) 2021: 475-486 - [c104]Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu:
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation. EMNLP (Findings) 2021: 918-923 - [c103]Ruixuan Luo, Yi Zhang, Sishuo Chen, Xu Sun:
Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks. EMNLP (Findings) 2021: 1896-1906 - [c102]Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang:
Rethinking Denoised Auto-Encoding in Language Pre-Training. EMNLP (1) 2021: 2922-2932 - [c101]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. EMNLP (1) 2021: 8365-8381 - [c100]Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. EMNLP (1) 2021: 9029-9043 - [c99]Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang:
KNAS: Green Neural Architecture Search. ICML 2021: 11613-11625 - [c98]Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. IJCAI 2021: 3764-3770 - [c97]Kaiyuan Liao, Yi Zhang, Xuancheng Ren, Qi Su, Xu Sun, Bin He:
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models. NAACL-HLT 2021: 2013-2023 - [c96]Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He:
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. NAACL-HLT 2021: 2048-2058 - [c95]Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun, Bin He:
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects. NAACL-HLT 2021: 5453-5466 - [c94]Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun:
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. NeurIPS 2021: 16266-16279 - [c93]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS 2021: 29885-29897 - [i107]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. CoRR abs/2102.10780 (2021) - [i106]Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He:
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. CoRR abs/2103.15543 (2021) - [i105]Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou:
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. CoRR abs/2105.07205 (2021) - [i104]Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun:
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge. CoRR abs/2105.13607 (2021) - [i103]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. CoRR abs/2105.13868 (2021) - [i102]Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun:
Contrastive Attention for Automatic Chest X-ray Report Generation. CoRR abs/2106.06965 (2021) - [i101]Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun:
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. CoRR abs/2108.02359 (2021) - [i100]Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively Scaled Adversarial Training in Time Series. CoRR abs/2108.08976 (2021) - [i99]Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. CoRR abs/2108.11318 (2021) - [i98]Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. CoRR abs/2109.00523 (2021) - [i97]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR abs/2109.01300 (2021) - [i96]Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
Adversarial Parameter Defense by Multi-Step Risk Minimization. CoRR abs/2109.02889 (2021) - [i95]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR abs/2109.11295 (2021) - [i94]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR abs/2110.04099 (2021) - [i93]Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun:
Well-classified Examples are Underestimated in Classification with Deep Neural Networks. CoRR abs/2110.06537 (2021) - [i92]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. CoRR abs/2110.07831 (2021) - [i91]Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun:
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. CoRR abs/2111.04318 (2021) - [i90]Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang:
KNAS: Green Neural Architecture Search. CoRR abs/2111.13293 (2021) - [i89]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR abs/2112.07327 (2021) - [i88]Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR abs/2112.13610 (2021) - 2020
- [j11]Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren, Qi Su, Xu Sun:
Memorized sparse backpropagation. Neurocomputing 415: 397-407 (2020) - [j10]Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang:
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method. IEEE Trans. Knowl. Data Eng. 32(2): 374-387 (2020) - [c92]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. AAAI 2020: 3438-3445 - [c91]Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun:
Visual Agreement Regularized Training for Multi-Modal Machine Translation. AAAI 2020: 9418-9425 - [c90]Yi Zhang, Tao Ge, Xu Sun:
Parallel Data Augmentation for Formality Style Transfer. ACL 2020: 3221-3228 - [c89]Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
How to Ask Good Questions? Try to Leverage Paraphrases. ACL 2020: 6130-6140 - [c88]Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou:
Rethinking Skip Connection with Layer Normalization. COLING 2020: 3586-3598 - [c87]Zhiyuan Zhang, Xiaoqian Liu, Yi Zhang, Qi Su, Xu Sun, Bin He:
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models. EMNLP (Findings) 2020: 259-266 - [c86]Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun:
Regularizing Dialogue Generation by Imitating Implicit Scenarios. EMNLP (1) 2020: 6592-6604 - [c85]Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun:
Prophet Attention: Predicting Attention with Future Attention. NeurIPS 2020 - [i87]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. CoRR abs/2002.12585 (2020) - [i86]Shu Liu, Wei Li, Yunfang Wu, Qi Su, Xu Sun:
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks. CoRR abs/2004.06427 (2020) - [i85]Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun:
Query-Variant Advertisement Text Generation with Association Knowledge. CoRR abs/2004.06438 (2020) - [i84]Yi Zhang, Tao Ge, Xu Sun:
Parallel Data Augmentation for Formality Style Transfer. CoRR abs/2005.07522 (2020) - [i83]Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning. CoRR abs/2005.08081 (2020) - [i82]Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li:
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. CoRR abs/2006.05620 (2020) - [i81]Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun:
Collaborative Group Learning. CoRR abs/2009.07712 (2020) - [i80]Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun:
Graph-based Multi-hop Reasoning for Long Text Generation. CoRR abs/2009.13282 (2020) - [i79]Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun:
Regularizing Dialogue Generation by Imitating Implicit Scenarios. CoRR abs/2010.01893 (2020) - [i78]Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun:
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations. CoRR abs/2010.06351 (2020) - [i77]Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
EQG-RACE: Examination-Type Question Generation. CoRR abs/2012.06106 (2020) - [i76]Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li,