Dandan Tu

According to our database, Dandan Tu authored at least 69 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Shared-private vision-to-text connector for grounded multimodal named entity recognition with synergistic global-local alignment.

Zihao Zheng, Lei Chen, Chen Zhao, Dandan Tu, Ming Liu, Bing Qin

Int. J. Mach. Learn. Cybern., June, 2026

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation.

Zekun Yuan, Yangfan Ye, Xiaocheng Feng, Baohang Li, Qichen Hong, Yunfei Lu, Dandan Tu, Bing Qin

CoRR, April, 2026

The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?

Yirong Zeng, Shen You, Yufei Liu, Qunyao Du, Xiao Ding, Yutai Hou, Yuxian Wang, Wu Ning, Haonan Song, Dandan Tu, Bibo Cai, Ting Liu

CoRR, April, 2026

x1: Learning to Think Adaptively Across Languages and Cultures.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Yichong Huang, Zekun Yuan, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Dandan Tu, Bing Qin

CoRR, April, 2026

Visual Preference Optimization with Rubric Rewards.

Ya-Qi Yu, Fangyu Hong, Xiangyang Qu, Hao Wang, Gaojie Wu, Qiaoyu Luo, Nuo Xu, Huixin Wang, Wuheng Xu, Yongxin Liao, Zihao Chen, Haonan Li, Ziming Li, Dezhi Peng, Minghui Liao, Jihao Wu, Haoyu Ren, Dandan Tu

CoRR, April, 2026

Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification.

Xinyan Ma, Xianhao Ou, Weihao Zhang, Shixin Jiang, Runxuan Liu, Dandan Tu, Lei Chen, Ming Liu, Bing Qin

CoRR, April, 2026

Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models.

Zekai Ye, Qiming Li, Xiaocheng Feng, Ruihan Chen, Ziming Li, Haoyu Ren, Kun Chen, Dandan Tu, Bing Qin

CoRR, April, 2026

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration.

Haoyuan Xu, Chang Li, Xinyan Ma, Xianhao Ou, Zihan Zhang, Tao He, Xiangyu Liu, Zixiang Wang, Jiafeng Liang, Zheng Chu, Runxuan Liu, Rongchuan Mu, Dandan Tu, Ming Liu, Bing Qin

CoRR, March, 2026

AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints.

Yirong Zeng, Xiao Ding, Yufei Liu, Yuxian Wang, Qunyao Du, Yutai Hou, Wu Ning, Haonan Song, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu

CoRR, March, 2026

CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification.

Jinpeng Chen, Cheng Gong, Hanbo Li, Ziru Liu, Zichen Tian, Xinyu Fu, Shi Wu, Chenyang Zhang, Wu Zhang, Suiyun Zhang, Dandan Tu, Rui Liu

CoRR, March, 2026

CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion.

Yusong Lin, Haiyang Wang, Shuzhe Wu, Lue Fan, Feiyang Pan, Sanyuan Zhao, Dandan Tu

CoRR, February, 2026

FeatureBench: Benchmarking Agentic Coding for Complex Feature Development.

Qixing Zhou, Jiacheng Zhang, Haiyang Wang, Rui Hao, Jiahe Wang, Minghao Han, Yuxue Yang, Shuzhe Wu, Feiyang Pan, Lue Fan, Dandan Tu, Zhaoxiang Zhang

CoRR, February, 2026

Precision over Diversity: High-Precision Reward Generalizes to Robust Instruction Following.

Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Haonan Song, Wu Ning, Dandan Tu, Qixun Zhang, Bibo Cai, Yuxiang He, Ting Liu

CoRR, January, 2026

Scene-aware memory discrimination: Deciding which personal knowledge stays.

Yijie Zhong, Mengying Guo, Zewei Wang, Zhongyang Li, Dandan Tu, Haofen Wang

Knowl. Based Syst., 2026

Targeted ensemble defense against unauthorized text-to-image identity customization.

Mingwang Hu, Yi Tu, Dandan Tu, Lanjun Wang

Inf. Fusion, 2026

LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis.

Meng Chu, Senqiao Yang, Haoxuan Che, Suiyun Zhang, Xichen Zhang, Shaozuo Yu, Haokun Gui, Zhefan Rao, Dandan Tu, Rui Liu, Jiaya Jia

CoRR, December, 2025

LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding.

Chenkai Xu, Yijie Jin, Jiajun Li, Yi Tu, Guoping Long, Dandan Tu, Mingcong Song, Hongjie Si, Tianqi Hou, Junchi Yan, Zhijie Deng

CoRR, December, 2025

Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models.

Kecheng Chen, Ziru Liu, Xijia Tao, Hui Liu, Xinyu Fu, Suiyun Zhang, Dandan Tu, Lingpeng Kong, Rui Liu, Haoliang Li

CoRR, December, 2025

SCoGen: Scenario-Centric Graph-Based Synthesis of Real-World Code Problems.

Xifeng Yao, Dongyu Lang, Wu Zhang, Xintong Guo, Huarui Xie, Yinhao Ni, Ping Liu, Guang Shen, Yi Bai, Dandan Tu, Changzheng Zhang

CoRR, September, 2025

PUSA V1.0: Surpassing Wan-I2V with $500 Training Cost by Vectorized Timestep Adaptation.

Yaofang Liu, Yumeng Ren, Aitor Artola, Yuxuan Hu, Xiaodong Cun, Xiaotong Zhao, Alan Zhao, Raymond H. Chan, Suiyun Zhang, Rui Liu, Dandan Tu, Jean-Michel Morel

CoRR, July, 2025

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning.

Ziru Liu, Cheng Gong, Xinyu Fu, Yaofang Liu, Ran Chen, Shoubo Hu, Suiyun Zhang, Rui Liu, Qingfu Zhang, Dandan Tu

CoRR, July, 2025

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs.

Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan

CoRR, May, 2025

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs.

Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu

CoRR, April, 2025

FiRC-NLP at SemEval-2025 Task 3: Exploring Prompting Approaches for Detecting Hallucinations in LLMs.

Wondimagegnhue Tufa, Fadi Hassan, Guillem Collell, Dandan Tu, Yi Tu, Sang Ni, Kuan Eeik Tan

Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

Boosting Document Image Translation via Layout-Aware Semantic Paragraph Clustering.

Zhiyuan Chen, Yaping Zhang, Zhiyang Zhang, Yupu Liang, Yue Xu, Yunfei Lu, Dandan Tu, Chengqing Zong, Yu Zhou

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

ToolACE: Winning the Points of LLM Function Calling.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use.

Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.

Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SLIM: Subtrajectory-Level Elimination for More Effective Reasoning.

Xifeng Yao, Chengyuan Ma, Dongyu Lang, Yinhao Ni, Zhiwei Xu, Huarui Xie, Zihao Chen, Guang Shen, Dandan Tu, Yi Bai, Changzheng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention.

Zekai Ye, Qiming Li, Xiaocheng Feng, Libo Qin, Yichong Huang, Baohang Li, Kui Jiang, Yang Xiang, Zhirui Zhang, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.

Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GeAR: Graph-enhanced Agent for Retrieval-augmented Generation.

Zhili Shen, Chenxin Diao, Pavlos Vougiouklis, Pascual Merita, Shriram Piramanayagam, Enting Chen, Damien Graux, André Melo, Ruofei Lai, Zeren Jiang, Zhongyang Li, Ye Qi, Yang Ren, Dandan Tu, Jeff Z. Pan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective.

Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning.

Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

GeAR: Graph-enhanced Agent for Retrieval-augmented Generation.

Zhili Shen, Chenxin Diao, Pavlos Vougiouklis, Pascual Merita, Shriram Piramanayagam, Damien Graux, Dandan Tu, Zeren Jiang, Ruofei Lai, Yang Ren, Jeff Z. Pan

CoRR, 2024

Ensuring Consistency for In-Image Translation.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Zhirui Zhang, Yunfei Lu, Dandan Tu, Duyu Tang, Hui Wang, Bing Qin, Ting Liu

CoRR, 2024

XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Libo Qin, Yichong Huang, Lei Huang, Weitao Ma, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin

CoRR, 2024

Disfluency Detection for Real-World Scenarios.

Jianbang Ding, Suiyun Zhang, Dandan Tu

Proceedings of the International Joint Conference on Neural Networks, 2024

Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning.

Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs.

Zheng Wang, Zhongyang Li, Zeren Jiang, Dandan Tu, Wei Shi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Concise and Precise Context Compression for Tool-Using Language Models.

Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.

Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Unsupervised Cross-Modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation.

Junlin Xian, Xiang Li, Dandan Tu, Senhua Zhu, Changzheng Zhang, Xiaowu Liu, Xin Li, Xin Yang

IEEE Trans. Medical Imaging, June, 2023

DocStormer: Revitalizing Multi-Degraded Colored Document Images to Pristine PDF.

Chaowei Liu, Jichun Li, Yihua Teng, Chaoqun Wang, Nuo Xu, Jihao Wu, Dandan Tu

CoRR, 2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.

Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan

CoRR, 2023

Stable Attribute Group Editing for Reliable Few-shot Image Generation.

Guanqi Ding, Xinzhe Han, Shuhui Wang, Xin Jin, Dandan Tu, Qingming Huang

CoRR, 2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.

Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.

Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2022

Intrinsic Bias Identification on Medical Image Datasets.

Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu

CoRR, 2022

Attribute Group Editing for Reliable Few-shot Image Generation.

Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency.

Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2021

Deep learning for predicting COVID-19 malignant progression.

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

Medical Image Anal., 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.

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

CoRR, 2021

DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19.

Chengtao Peng, Yunfei Long, Senhua Zhu, Dandan Tu, Bin Li

CoRR, 2021

DuCN: Dual-Children Network for Medical Diagnosis and Similar Case Recommendation Towards COVID-19.

Yunfei Long, Senhua Zhu, Dandan Tu

Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020

Trust the Model When It Is Confident: Masked Model-based Actor-Critic.

Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pay More Attention to Discontinuity for Medical Image Segmentation.

Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Directional Feature Maps for Cardiac MRI Segmentation.

Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.

Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DCCL: A Benchmark for Cervical Cytology Analysis.

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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Face Detection Using Improved Faster RCNN.

Changzheng Zhang, Xiang Xu, Dandan Tu

CoRR, 2018

A unified scheme of text localization and structured data extraction for joint OCR and data mining.

Yibin Ye, Shenggao Zhu, Jing Wang, Qi Du, Yezhang Yang, Dandan Tu, Lanjun Wang, Jiebo Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Survey on Deep Learning Benchmarks: Do We Still Need New Ones?

Qin Zhang, Li Zha, Jian Lin, Dandan Tu, Mingzhe Li, Fan Liang, Ren Wu, Xiaoyi Lu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

2011

Three New Concepts of Future Computer Science.

Zhiwei Xu, Dandan Tu

J. Comput. Sci. Technol., 2011

2010

Rank Internet Service Quality Using Multiple Features: A Machine Learning Approach.

Dandan Tu, Chengchun Shu, Jingwei Shi, Tao Zhu, Shuang Wang, Haiyan Yu

Proceedings of the Sixth International Conference on Semantics Knowledge and Grid, 2010

2009

XConveryer: Guarantee Hadoop Throughput via Lightweight OS-Level Virtualization.

An Qin, Dandan Tu, Chengchun Shu, Chang Gao

Proceedings of the Eighth International Conference on Grid and Cooperative Computing, 2009