Yudong Liu

According to our database, Yudong Liu authored at least 83 papers between 2006 and 2024.

Collaborative distances:

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

2024

A Unified Control Framework Enables Robust Robotic Haptic Rendering of Bimanual Rehabilitation Tasks.

Chenyang Sun, Yudong Liu, Cui Wang, Yuzhou Lin, Yi-Feng Chen, Jianhuang Wu, Jianjun Long, Mingming Zhang

IEEE Robotics Autom. Lett., November, 2024

KGCNA: Knowledge Graph Collaborative Neighbor Awareness Network for Recommendation.

Guang-liang He, Zhen Zhang, Hanrui Wu, Sanchuan Luo, Yudong Liu

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Robot-Assisted Haptic Rendering for Nail Hammering: A Representative of IADL Tasks.

Changqi Zhang, Cui Wang, Ping Li, Yudong Liu, Yi-Feng Chen, Mingming Zhang

IEEE Trans Autom. Sci. Eng., July, 2024

Predicting rumor veracity on social media with cross-channel interaction of multi-task.

Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng

Neural Comput. Appl., May, 2024

Aria: An Open Multimodal Native Mixture-of-Experts Model.

Dongxu Li, Yudong Liu, Haoning Wu, Yue Wang, Zhiqi Shen, Bowen Qu, Xinyao Niu, Guoyin Wang, Bei Chen, Junnan Li

CoRR, 2024

Practical offloading for fine-tuning LLM on commodity GPU via learned subspace projectors.

Siyuan Chen, Zelong Guan, Yudong Liu, Phillip B. Gibbons

CoRR, 2024

Yi: Open Foundation Models by 01.AI.

Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai

CoRR, 2024

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction.

Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2024

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark.

Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu

CoRR, 2024

SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction.

Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Crafting Disability Fairness Learning in Data Science: A Student-Centric Pedagogical Approach.

Pax Newman, Tyanin Opdahl, Yudong Liu, Scott Wehrwein, Yasmine N. Elglaly

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response.

Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, Emmanouil Benetos

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

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction.

Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning.

Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.

Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications.

Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds.

Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

GridFormer: Point-Grid Transformer for Surface Reconstruction.

Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Performance-Based Iterative Learning Control for Task-Oriented Rehabilitation: A Pilot Study in Robot-Assisted Bilateral Training.

Qing Miao, Zhijun Li, Kaiya Chu, Yudong Liu, Yuxin Peng, Shengquan Xie, Mingming Zhang

IEEE Trans. Cogn. Dev. Syst., December, 2023

RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records.

Jie Cai, Shenglin Chen, Siyun Guo, Sui-Dong Wang, Lintong Li, Xiaotong Liu, Keming Zheng, Yudong Liu, Shiling Chen

BMC Medical Informatics Decis. Mak., December, 2023

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection.

Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proc. VLDB Endow., November, 2023

SAFTE: A self-injection based anti-fuzzing technique.

Jianyi Zhang, Zhenkui Li, Yudong Liu, Zezheng Sun, Zhiqiang Wang

Comput. Electr. Eng., November, 2023

High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning.

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Russ Salakhutdinov

Trans. Mach. Learn. Res., 2023

Promoting Machine Learning Fairness Education through Active Learning and Reflective Practices.

Yasmine N. Elglaly, Yudong Liu

ACM SIGCSE Bull., 2023

Diffusion-based Time Series Data Imputation for Microsoft 365.

Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes.

Mihir Mongia, Romel Baral, Abhinav Adduri, Donghui Yan, Yudong Liu, Yuying Bian, Paul Kim, Bahar Behsaz, Hosein Mohimani

Bioinform., 2023

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.

Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.

Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Assess and Summarize: Improve Outage Understanding with Large Language Models.

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Towards Machine Learning Fairness Education in a Natural Language Processing Course.

Samantha Jane Dobesh, Tyler Miller, Pax Newman, Yudong Liu, Yasmine N. El-Glaly

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Introducing an Open Source Library for Sumerian Text Analysis.

Hansel Guzman-Soto, Yudong Liu

Proceedings of the Ancient Language Processing Workshop, 2023

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud.

Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

A Refined Tracking Filtering Algorithm Based on IMM.

Hao Jiao, Yudong Liu, Junkun Yan, Hongwei Liu

Proceedings of the 12th International Conference on Control, 2023

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads.

Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

Large-Scale Anonymized Text-based Disability Discourse Dataset.

Brandon Palonis, Samantha Jane Dobesh, Selah Bellscheidt, Mohamed Wiem Mkaouer, Yudong Liu, Yasmine N. Elglaly

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023

2022

CBNet: A Composite Backbone Network Architecture for Object Detection.

Ting-Ting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling

IEEE Trans. Image Process., 2022

High-Performance 3D Vertically Oriented Graphene Photodetector Using a Floating Indium Tin Oxide Channel.

Jiawei Yang, Yudong Liu, Haina Ci, Feng Zhang, Jianbo Yin, Baolu Guan, Hailin Peng, Zhongfan Liu

Sensors, 2022

Analysis of a Measurement Method and Test System for Pressure Change Rates in Commercial Vehicle Brake Chambers.

Gangyan Li, Rui Shen, Yudong Liu, Fan Yang, Jian Hu

Sensors, 2022

UniParser: A Unified Log Parser for Heterogeneous Log Data.

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SPINE: a scalable log parser with feedback guidance.

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

An empirical investigation of missing data handling in cloud node failure prediction.

Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Exploration on Integrating Accessibility into an AI Course.

Chia-En Tseng, Seoung Ho Jung, Yasmine N. El-Glaly, Yudong Liu, Stephanie Ludi

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.

Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-modal False Information Detection Based on Adversarial Learning.

Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Customer Portrait for Metrology Institutions Based on the Machine Learning Clustering Algorithm and the RFM Model.

Xiaojing Zhang, Dongshuo Zhao, Yaran Li, Yudong Liu, Gang Hu

Proceedings of the 8th International Conference on Systems and Informatics, 2022

Haptic Rendering of Soft Object Interaction for Robot-aided Neurorehabilitation.

Yudong Liu, Mingming Zhang

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Predicting Rumor Veracity on Social Media with Graph Structured Multi-task Learning.

Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Recommendation Model Based on Semantic Features and a Knowledge Graph.

Yudong Liu, Wen Chen

Wirel. Commun. Mob. Comput., 2021

CBNetV2: A Composite Backbone Network Architecture for Object Detection.

Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling

CoRR, 2021

Robot-Assisted Haptic Rendering of Bilateral Physical Tasks via Physical Engine.

Yudong Liu, Kaiya Chu, Qing Miao, Mingming Zhang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

The Business Structure of a Metrology Institution Based on Linear Regression Analysis.

Dongshuo Zhao, Yudong Liu, Xiaojing Zhang, Tianyi Liu, Zhi Hu, Yiran Zheng

Proceedings of the 7th International Conference on Systems and Informatics, 2021

2020

A quadrilateral scene text detector with two-stage network architecture.

Siwei Wang, Yudong Liu, Zheqi He, Yongtao Wang, Zhi Tang

Pattern Recognit., 2020

Rumor Detection on Social Media with Graph Structured Adversarial Learning.

Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data.

Zhonglie Wang, Rui Yan, Jie Liu, Yudong Liu, Fei Ren, Chunhou Zheng, Fa Zhang

Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

Using Deep Learning for Fusion of Eye and Mouse Movement based User Authentication.

Yudong Liu, Yusheng Jiang, John Devenere

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection.

Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CBNet: A Novel Composite Backbone Network Architecture for Object Detection.

Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

基于PCA-LSTM的入侵检测研究 (Study on Intrusion Detection Based on PCA-LSTM).

Zhongshi Gao, Yang Su, Yudong Liu

计算机科学, 2019

New provable data transfer from provable data possession and deletion for secure cloud storage.

Yudong Liu, Shuai Xiao, Han Wang, Xu An Wang

Int. J. Distributed Sens. Networks, 2019

Improved publicly verifiable group sum evaluation over outsourced data streams in IoT setting.

Xu An Wang, Yudong Liu, Arun Kumar Sangaiah, Jindan Zhang

Computing, 2019

Key Technologies of Anomaly Detection Using PCA-LSTM.

Zhongshi Gao, Yang Su, Yi Ding, Yudong Liu, Xu An Wang, Junwei Shen

Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2019

Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.

Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Functional encryption with efficient verifiable outsourced decryption for secure data access control in social network.

Cong Li, Xiaoyuan Yang, Yudong Liu, Yunfei Cao

Int. J. High Perform. Syst. Archit., 2018

Improved group-oriented proofs of cloud storage in IoT setting.

Xu An Wang, Yudong Liu, Jindan Zhang, Xiaoyuan Yang, Minqing Zhang

Concurr. Comput. Pract. Exp., 2018

Improved functional proxy re-encryption schemes for secure cloud data sharing.

Xu An Wang, Xiaoyuan Yang, Cong Li, Yudong Liu, Yong Ding

Comput. Sci. Inf. Syst., 2018

Improved Provable Data Transfer from Provable Data Possession and Deletion in Cloud Storage.

Yudong Liu, Xu An Wang, Yunfei Cao, Dianhua Tang, Xiaoyuan Yang

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018

Publicly Verifiable 1-norm and 2-norm Operations over Outsourced Data Stream Under Single-Key Setting.

Yudong Liu, Xu An Wang, Arun Kumar Sangaiah, Heshuai Shao

Proceedings of the Advances in Internet, 2018

Homomorphic Authentication Based on Rank-Based Merkle Hash Tree.

Ping Bai, Wei Zhang, Xu An Wang, Yudong Liu, Haibin Yang, Chun Shan

Proceedings of the Advances in Internet, 2018

A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification.

Rui Yan, Fei Ren, Zihao Wang, Lihua Wang, Yubo Ren, Yudong Liu, Xiaosong Rao, Chunhou Zheng, Fa Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Biometric Authentication Using Mouseand Eye Movement Data.

Jamison Rose, Yudong Liu, Ahmed Awad

J. Cyber Secur. Mobil., 2017

Biometric Authentication Using Mouse and Eye Movement Data.

Jamison Rose, Yudong Liu, Ahmed Awad

Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Dating Tablets in the Garshana Corpus.

James Hearne, Connon Anderson, Yudong Liu, Dannon Dixon, Dario Fenstermacher Ritchie

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Recognizing Proper Names in UR III Texts through Supervised Learning.

Yudong Liu, James Hearne, Bryan Conrad

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015

多模式公交组合调度优化模型 (Combinatorial Optimization Model of Multi-modal Transit Scheduling).

Jie Ming, Guijun Zhang, Yudong Liu

计算机科学, 2015

Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition.

Yudong Liu, Clinton Burkhart, James Hearne, Liang Luo

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Unsupervised Sumerian Personal Name Recognition.

Liang Luo, Yudong Liu, James Hearne, Clinton Burkhart

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2011

Influence of NR gene inhibition on cell senescence and growth and development.

Jinghui Yang, Yanjun Liu, Jianke Li, Junxuan Huang, Chunxia Wu, Shuangyue Li, Yudong Liu

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

EFAIoT: An Easy and Flexible Application Development System for Internet of Things.

Yudong Liu, Qiwen Zhu, Wangwei Zhou, Jian Xu, Yongbing Ma

Proceedings of the GCC 2010, 2010

2007

Exploiting Rich Syntactic Information for Relationship Extraction from Biomedical Articles.

Yudong Liu, Zhongmin Shi, Anoop Sarkar

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling.

Yudong Liu, Anoop Sarkar

Proceedings of the EMNLP-CoNLL 2007, 2007

Question Answering Summarization of Multiple Biomedical Documents.

Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, Baohua Gu, Mehdi M. Kashani, Anoop Sarkar, Fred Popowich

Proceedings of the Advances in Artificial Intelligence, 2007

2006

Using LTAG-Based Features for Semantic Role Labeling.

Yudong Liu, Anoop Sarkar

Proceedings of the Eighth International Workshop on Tree Adjoining Grammar and Related Formalisms, 2006