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2020 – today
- 2024
[c18]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113- [c17]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. ACL (Findings) 2024: 16430-16441 - [c16]Zheng Wang, Zhongyang Li, Zeren Jiang, Dandan Tu, Wei Shi:
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs. EMNLP 2024: 4891-4906 - [c15]Jianbang Ding, Suiyun Zhang, Dandan Tu:
Disfluency Detection for Real-World Scenarios. IJCNN 2024: 1-9 - [i16]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. CoRR abs/2407.02043 (2024) - [i15]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024) - [i14]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i13]Zheng Wang, Zhongyang Li, Zeren Jiang, Dandan Tu, Wei Shi:
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs. CoRR abs/2409.19401 (2024) - 2023
- [j5]Junlin Xian
, Xiang Li, Dandan Tu, Senhua Zhu, Changzheng Zhang, Xiaowu Liu, Xin Li, Xin Yang:
Unsupervised Cross-Modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 42(6): 1774-1785 (2023) - [c14]Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He:
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI 2023: 11443-11451 - [c13]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD 2023: 5476-5486 - [i12]Guanqi Ding, Xinzhe Han, Shuhui Wang, Xin Jin, Dandan Tu, Qingming Huang:
Stable Attribute Group Editing for Reliable Few-shot Image Generation. CoRR abs/2302.00179 (2023) - [i11]Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan:
Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning. CoRR abs/2303.11716 (2023) - [i10]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR abs/2306.12964 (2023) - [i9]Chaowei Liu, Jichun Li, Yihua Teng, Chaoqun Wang, Nuo Xu, Jihao Wu, Dandan Tu:
DocStormer: Revitalizing Multi-Degraded Colored Document Images to Pristine PDF. CoRR abs/2310.17910 (2023) - 2022
- [j4]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [c12]Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha:
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. AAAI 2022: 1846-1853 - [c11]Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang:
Attribute Group Editing for Reliable Few-shot Image Generation. CVPR 2022: 11184-11193 - [i8]Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang:
Attribute Group Editing for Reliable Few-shot Image Generation. CoRR abs/2203.08422 (2022) - [i7]Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu:
Intrinsic Bias Identification on Medical Image Datasets. CoRR abs/2203.12872 (2022) - [i6]Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha:
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. CoRR abs/2204.00795 (2022) - 2021
- [j3]Cong Fang, Song Bai, Qianlan Chen, Yu Zhou, Liming Xia, Lixin Qin, Shi Gong, Xudong Xie, Chunhua Zhou, Dandan Tu, Changzheng Zhang, Xiaowu Liu, Weiwei Chen, Xiang Bai, Philip H. S. Torr:
Deep learning for predicting COVID-19 malignant progression. Medical Image Anal. 72: 102096 (2021) - [j2]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [c10]Yunfei Long, Senhua Zhu, Dandan Tu:
DuCN: Dual-Children Network for Medical Diagnosis and Similar Case Recommendation Towards COVID-19. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 150-159 - [i5]Chengtao Peng, Yunfei Long, Senhua Zhu, Dandan Tu, Bin Li:
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19. CoRR abs/2108.01997 (2021) - [i4]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021) - 2020
- [c9]Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu:
Learning Directional Feature Maps for Cardiac MRI Segmentation. MICCAI (4) 2020: 108-117 - [c8]Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin, Yongchao Xu:
Pay More Attention to Discontinuity for Medical Image Segmentation. MICCAI (4) 2020: 166-175 - [c7]Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS 2020 - [i3]Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu:
Learning Directional Feature Maps for Cardiac MRI Segmentation. CoRR abs/2007.11349 (2020) - [i2]Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. CoRR abs/2010.04893 (2020)
2010 – 2019
- 2019
- [c6]Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo:
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. MLMI@MICCAI 2019: 54-62 - [c5]Changzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo, Shuanlong Che, Hehua Liang, Yinghua Li, Si Liu, Dandan Tu, Guojun Qi, Pifu Luo, Jiebo Luo:
DCCL: A Benchmark for Cervical Cytology Analysis. MLMI@MICCAI 2019: 63-72 - 2018
- [c4]Qin Zhang, Li Zha, Jian Lin, Dandan Tu, Mingzhe Li, Fan Liang, Ren Wu, Xiaoyi Lu:
A Survey on Deep Learning Benchmarks: Do We Still Need New Ones? Bench 2018: 36-49 - [c3]Yibin Ye, Shenggao Zhu, Jing Wang, Qi Du, Yezhang Yang, Dandan Tu, Lanjun Wang, Jiebo Luo:
A unified scheme of text localization and structured data extraction for joint OCR and data mining. IEEE BigData 2018: 2373-2382 - [i1]Changzheng Zhang, Xiang Xu, Dandan Tu:
Face Detection Using Improved Faster RCNN. CoRR abs/1802.02142 (2018) - 2011
- [j1]Zhiwei Xu, Dandan Tu:
Three New Concepts of Future Computer Science. J. Comput. Sci. Technol. 26(4): 616-624 (2011) - 2010
- [c2]Dandan Tu, Chengchun Shu, Jingwei Shi, Tao Zhu, Shuang Wang, Haiyan Yu:
Rank Internet Service Quality Using Multiple Features: A Machine Learning Approach. SKG 2010: 172-179
2000 – 2009
- 2009
- [c1]An Qin, Dandan Tu, Chengchun Shu, Chang Gao:
XConveryer: Guarantee Hadoop Throughput via Lightweight OS-Level Virtualization. GCC 2009: 299-304
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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