Xu Sun

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 257

Top Venues

Publications

Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu Sun
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? CoRR (2024)
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. ICLR (2024)
Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu Sun
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? NAACL-HLT (2024)
Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
Decentralized Decoupled Training for Federated Long-Tailed Learning. Trans. Mach. Learn. Res. 2024 (2024)
Linli Yao, Lei Li, Shuhuai Ren, Lean Wang, Yuanxin Liu, Xu Sun, Lu Hou
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models. CoRR (2024)
Sishuo Chen, Lei Li, Shuhuai Ren, Rundong Gao, Yuanxin Liu, Xiaohan Bi, Xu Sun, Lu Hou
Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality. CoRR (2024)
Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. NeurIPS (2023)
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. NeurIPS (2023)
Sishuo Chen, Wenkai Yang, Xiaohan Bi, Xu Sun
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features. CoRR (2023)
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 (2023)
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 (2023)
Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction. CoRR (2023)
Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun
Can Language Models Understand Physical Concepts? CoRR (2023)
Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. EMNLP (Findings) (2023)
Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
ASAT: Adaptively scaled adversarial training in time series. Neurocomputing 522 (2023)
Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter. CoRR (2023)
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)
Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning. CoRR (2023)
Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding. CoRR (2023)
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 (2023)
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)
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 (2023)
Wenkai Yang, Deli Chen, Hao Zhao, Fandong Meng, Jie Zhou, Xu Sun
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. CoRR (2023)
Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton
A medical multimodal large language model for future pandemics. npj Digit. Medicine 6 (2023)
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 (2023)
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)
Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. CoRR (2023)
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)
Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun
Hierarchical Inductive Transfer for Continual Dialogue Learning. CoRR (2022)
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) (2022)
Lean Wang, Lei Li, Xu Sun
Gradient Knowledge Distillation for Pre-trained Language Models. CoRR (2022)
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)
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)
Zhiyuan Zhang, Ruixuan Luo, Qi Su, Xu Sun
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization. EMNLP (2022)
Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Stock Trading Volume Prediction with Dual-Process Meta-Learning. CoRR (2022)
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR (2022)
Zhiyuan Zhang, Ruixuan Luo, Qi Su, Xu Sun
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization. CoRR (2022)
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)
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 (2022)
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)
Zhiyuan Zhang, Qi Su, Xu Sun
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. CoRR (2022)
Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun
Hierarchical Inductive Transfer for Continual Dialogue Learning. ACL (Findings) (2022)
Xiuyu Wu, Jingsong Yu, Xu Sun, Yunfang Wu
Position Offset Label Prediction for Grammatical Error Correction. COLING (2022)
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) (2022)
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 (2022)
Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning. CoRR (2022)
Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun
Rethinking the Openness of CLIP. CoRR (2022)
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 (2022)
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. EMNLP (Findings) (2022)
Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. ECML/PKDD (6) (2022)
Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. CoRR (2022)
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. CoRR (2022)
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 (2022)
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 (2022)
Zhiyuan Zhang, Qi Su, Xu Sun
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. EMNLP (Findings) (2022)
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) (2021)
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)
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 (2021)
Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. NeurIPS (2021)
Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun
Well-classified Examples are Underestimated in Classification with Deep Neural Networks. CoRR (2021)
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)
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR (2021)
Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun
Collaborative Group Learning. AAAI (2021)
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)
Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge. CoRR (2021)
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)
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)
Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. CoRR (2021)
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)
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 (2021)
Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI (2021)
Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. CoRR (2021)
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)
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR (2021)
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 (2021)
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 (2021)
Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun
Contrastive Attention for Automatic Chest X-ray Report Generation. CoRR (2021)
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)
Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
KNAS: Green Neural Architecture Search. CoRR (2021)
Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun
Adversarial Parameter Defense by Multi-Step Risk Minimization. CoRR (2021)
Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. CoRR (2021)
Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun
Adversarial parameter defense by multi-step risk minimization. Neural Networks 144 (2021)
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS (2021)
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. CoRR (2021)
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)
Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. CoRR (2021)
Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
ASAT: Adaptively Scaled Adversarial Training in Time Series. CoRR (2021)
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR (2021)
Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. EMNLP (1) (2021)
Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. CoRR (2021)
Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. AAAI (2021)
Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. AAAI (2021)
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
Rethinking Stealthiness of Backdoor Attack against NLP Models. ACL/IJCNLP (1) (2021)
Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
KNAS: Green Neural Architecture Search. ICML (2021)
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)
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 (2021)
Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu
EQG-RACE: Examination-Type Question Generation. AAAI (2021)
Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu
EQG-RACE: Examination-Type Question Generation. CoRR (2020)
Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou
Rethinking Skip Connection with Layer Normalization. COLING (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xu Sun