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2020 – today
- 2024
- [j15]Qing Wang, Jinchao Zhang, Qingqing Zhu, Yue Cao:
Closed-Loop Control of Melt Pool Temperature during Laser Metal Deposition. Sensors 24(15): 5020 (2024) - [j14]Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32: 765-778 (2024) - [j13]Mengqi Zhan, Yang Li, Bo Li, Jinchao Zhang, Chuanrong Li, Weiping Wang:
Toward Automated Field Semantics Inference for Binary Protocol Reverse Engineering. IEEE Trans. Inf. Forensics Secur. 19: 764-776 (2024) - [c50]Yao Qiu, Jinchao Zhang, Yong Shan, Jie Zhou:
Enhancing Note-Level Singing Transcription Model with Unlabeled and Weakly Labeled Data. ICASSP 2024: 341-345 - [c49]Hao Wen, Haochen Ma, Yu Du, Jinchao Zhang, Li He:
Prediction of irrigation water requirement based on parallel CNN-LSTM model and Mann-Kendall test. ICPS 2024: 1-6 - [i37]Yiran Yang, Jinchao Zhang, Ying Deng, Jie Zhou:
Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task. CoRR abs/2407.06617 (2024) - [i36]Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou:
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient. CoRR abs/2408.12236 (2024) - 2023
- [c48]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI 2023: 13538-13546 - [c47]Siheng Li, Wangjie Jiang, Pengda Si, Cheng Yang, Yao Qiu, Jinchao Zhang, Jie Zhou, Yujiu Yang:
Enhancing Dialogue Generation with Conversational Concept Flows. EACL (Findings) 2023: 1484-1495 - [c46]Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou:
Humming2Music: Being A Composer As Long As You Can Humming. IJCAI 2023: 7163-7166 - [c45]Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou:
LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. IJCAI 2023: 7171-7174 - [c44]Mengqi Zhan, Yang Li, Huajun Cui, Bo Li, Jinchao Zhang, Chuanrong Li, Weiping Wang:
MCRFF: A Meta-Contrastive Learning-Based RF Fingerprinting Method. MILCOM 2023: 391-396 - 2022
- [j12]Ying Zhang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
MKGN: A Multi-Dimensional Knowledge Enhanced Graph Network for Multi-Hop Question and Answering. IEICE Trans. Inf. Syst. 105-D(4): 807-819 (2022) - [c43]Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou:
Selecting Stickers in Open-Domain Dialogue through Multitask Learning. ACL (Findings) 2022: 3053-3060 - [c42]Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou:
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. EMNLP 2022: 1635-1648 - [c41]Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang:
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning. EMNLP (Findings) 2022: 2302-2317 - [c40]Peixiang Luo, Jinchao Zhang, Jie Zhou:
High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks. IJCAI 2022: 5015-5018 - [c39]Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou:
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning. ACM Multimedia 2022: 1204-1213 - [i35]Yong Shan, Jinchao Zhang, Zekang Li, Yang Feng, Jie Zhou:
Mental Health Assessment for the Chatbots. CoRR abs/2201.05382 (2022) - [i34]Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou:
Selecting Stickers in Open-Domain Dialogue through Multitask Learning. CoRR abs/2209.07697 (2022) - [i33]Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou:
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. CoRR abs/2210.16838 (2022) - [i32]Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang:
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning. CoRR abs/2211.16202 (2022) - [i31]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-Autoregressive Machine Translation. CoRR abs/2211.16863 (2022) - 2021
- [j11]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. Comput. Linguistics 47(4): 891-925 (2021) - [j10]Fenfang Cao, Jinchao Zhang, Xianjin Zha, Kunfeng Liu, Haijuan Yang:
A comparative analysis on digital libraries and academic search engines from the dual-route perspective. Electron. Libr. 39(2): 354-372 (2021) - [j9]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis. Neurocomputing 454: 291-302 (2021) - [j8]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Audio-Visual Scene-Aware Dialog. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2476-2483 (2021) - [c38]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances. ACL/IJCNLP (1) 2021: 128-138 - [c37]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency. ACL/IJCNLP (Findings) 2021: 1057-1067 - [c36]Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou:
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) 2021: 1091-1102 - [c35]Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou:
Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. ACL/IJCNLP (Findings) 2021: 1641-1652 - [c34]Yao Qiu, Jinchao Zhang, Jie Zhou:
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. ACL/IJCNLP (Findings) 2021: 1698-1707 - [c33]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-wise Model for Conversational Question Generation. ACL/IJCNLP (1) 2021: 3495-3506 - [c32]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis. EMNLP (Findings) 2021: 1768-1780 - [c31]Yao Qiu, Jinchao Zhang, Jie Zhou:
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks. EMNLP (1) 2021: 2318-2327 - [c30]Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou:
Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation. EMNLP (Findings) 2021: 3124-3134 - [c29]Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. EMNLP (1) 2021: 9029-9043 - [i30]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track. CoRR abs/2101.07947 (2021) - [i29]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances. CoRR abs/2106.02227 (2021) - [i28]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency. CoRR abs/2106.02228 (2021) - [i27]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-Wise Model for Conversational Question Generation. CoRR abs/2106.03635 (2021) - [i26]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. CoRR abs/2106.08122 (2021) - [i25]Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. CoRR abs/2109.00523 (2021) - [i24]Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark. CoRR abs/2109.01839 (2021) - [i23]Pengda Si, Yao Qiu, Jinchao Zhang, Yujiu Yang:
Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora. CoRR abs/2109.05406 (2021) - [i22]Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou:
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning. CoRR abs/2109.06441 (2021) - [i21]Yao Qiu, Jinchao Zhang, Jie Zhou:
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks. CoRR abs/2109.06524 (2021) - [i20]Yao Qiu, Jinchao Zhang, Jie Zhou:
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. CoRR abs/2109.06536 (2021) - [i19]Yao Qiu, Jinchao Zhang, Huiying Ren, Jie Zhou:
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training. CoRR abs/2109.06538 (2021) - [i18]Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou:
Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation. CoRR abs/2109.07779 (2021) - 2020
- [c28]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. AAAI 2020: 198-205 - [c27]Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. AAAI 2020: 5150-5157 - [c26]Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou:
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. ACL 2020: 6322-6333 - [c25]Jingzi Gu, Peng Fu, Jinchao Zhang, Lulu Wang, Bo Li, Weiping Wang:
Unsupervised Cross-Modal Retrieval by Coupled Dual Generative Adversarial Networks. APWeb/WAIM (1) 2020: 574-587 - [c24]Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou:
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING 2020: 1461-1467 - [c23]Tengfei Huo, Zhiqiang Liu, Jinchao Zhang, Jie Zhou:
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment. COLING 2020: 2889-2899 - [c22]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. EMNLP (1) 2020: 1035-1046 - [c21]Yiqi Liang, Xiaoqun Yuan, Shuying Chen, Jinchao Zhang:
Influencing Factors of the Identity of Japanese Animation Fans Among Chinese Adolescents: A Grounded Theory Study. iConference 2020: 256-267 - [i17]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. CoRR abs/2002.00163 (2020) - [i16]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis. CoRR abs/2004.01935 (2020) - [i15]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis. CoRR abs/2004.01951 (2020) - [i14]Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou:
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization. CoRR abs/2004.12429 (2020) - [i13]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis. CoRR abs/2008.05179 (2020) - [i12]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. CoRR abs/2010.04380 (2020)
2010 – 2019
- 2019
- [c20]Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. AAAI 2019: 224-231 - [c19]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. ACL (1) 2019: 2431-2441 - [c18]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 3013-3024 - [c17]Jinchao Zhang, Bo Luo, Fenfang Cao:
The antecedent and consequence of users' satisfaction and dissatisfaction with information seeking in online health communities. ASIST 2019: 836-837 - [c16]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. EMNLP/IJCNLP (1) 2019: 1051-1060 - [c15]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. EMNLP/IJCNLP (1) 2019: 1527-1537 - [c14]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 5568-5579 - [c13]Jingzi Gu, Jinchao Zhang, Zheng Lin, Bo Li, Weiping Wang, Dan Meng:
Asymmetric Deep Cross-modal Hashing. ICCS (5) 2019: 41-54 - [c12]Feifei Dai, Xiaoyan Gu, Bo Li, Jinchao Zhang, Mingda Qian, Weiping Wang:
Meta-Graph Based Attention-Aware Recommendation over Heterogeneous Information Networks. ICCS (2) 2019: 580-594 - [i11]Jie Zhou, Xingyi Cheng, Jinchao Zhang:
An end-to-end Neural Network Framework for Text Clustering. CoRR abs/1903.09424 (2019) - [i10]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. CoRR abs/1906.02437 (2019) - [i9]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.09444 (2019) - [i8]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. CoRR abs/1909.00324 (2019) - [i7]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. CoRR abs/1909.00564 (2019) - [i6]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. CoRR abs/1909.06937 (2019) - [i5]Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang:
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation. CoRR abs/1911.01597 (2019) - [i4]Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. CoRR abs/1911.07184 (2019) - [i3]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.09320 (2019) - 2018
- [c11]Jinchao Zhang, Jingzi Gu, Shuai Cheng, Bo Li, Weiping Wang, Dan Meng:
Efficient Algorithms of Parallel Skyline Join over Data Streams. ICA3PP (1) 2018: 184-199 - [i2]Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. CoRR abs/1812.07807 (2018) - 2017
- [c10]Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou:
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation. ACL (1) 2017: 1524-1534 - [c9]Jinchao Zhang, Qun Liu, Jie Zhou:
ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders. IJCAI 2017: 3392-3398 - [c8]Jinchao Zhang, Peerachet Porkaew, Jiawei Hu, Qiuye Zhao, Qun Liu:
CASICT-DCU Neural Machine Translation Systems for WMT17. WMT 2017: 428-431 - 2016
- [c7]Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu:
Is Local Window Essential for Neural Network Based Chinese Word Segmentation? CCL 2016: 450-457 - [c6]Jinchao Zhang, Zheng Lin, Bo Li, Weiping Wang, Dan Meng:
Skyline Join Query Processing over Multiple Relations. DASFAA Workshops 2016: 353-361 - [c5]Jinchao Zhang:
Efficient Skyline Query over Multiple Relations. ICCS 2016: 2211-2215 - 2015
- [j7]Xianjin Zha, Wentao Wang, Yalan Yan, Jinchao Zhang, Daochen Zha:
Understanding information seeking in digital libraries: antecedents and consequences. Aslib J. Inf. Manag. 67(6): 715-734 (2015) - [j6]Xianjin Zha, Jinchao Zhang, Yalan Yan, Daochen Zha:
Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness. Behav. Inf. Technol. 34(9): 920-935 (2015) - [j5]Xianjin Zha, Jinchao Zhang, Yalan Yan:
Comparing digital libraries in the web and mobile contexts from the perspective of the digital divide. J. Libr. Inf. Sci. 47(4): 330-340 (2015) - [j4]Xianjin Zha, Jinchao Zhang, Yalan Yan, Wentao Wang:
Comparing flow experience in using digital libraries: Web and mobile context. Libr. Hi Tech 33(1): 41-53 (2015) - [c4]Jinchao Zhang, Dong Zhang, Bo Yu, Bo Li, Weiping Wang, Dan Meng:
Skyline Query on Anti-correlated Distributions: From the Perspective of Spatial Index. ICA3PP (4) 2015: 386-401 - 2014
- [j3]Xianjin Zha, Jinchao Zhang, Yalan Yan, Zhiliang Xiao:
User perceptions of e-quality of and affinity with virtual communities: The effect of individual differences. Comput. Hum. Behav. 38: 185-195 (2014) - [j2]Yalan Yan, Xianjin Zha, Jinchao Zhang, Xiaorong Hou:
Comparing digital libraries with virtual communities from the perspective of e-quality. Libr. Hi Tech 32(1): 173-189 (2014) - [j1]Xianjin Zha, Jinchao Zhang, Yalan Yan:
Exploring the effect of individual differences on user perceptions of print and electronic resources. Libr. Hi Tech 32(2): 346-367 (2014) - [c3]Yuqing Zhu, Jianfeng Zhan, Chuliang Weng, Raghunath Nambiar, Jinchao Zhang, Xingzhen Chen, Lei Wang:
BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework. DASFAA (2) 2014: 483-492 - [i1]Yuqing Zhu, Jianfeng Zhan, Chuliang Weng, Raghunath Nambiar, Jinchao Zhang, Xingzhen Chen, Lei Wang:
BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework. CoRR abs/1401.6628 (2014) - 2013
- [c2]Bo Li, Jingjie Zhang, Mingyu Chen, Jinchao Zhang, Kunpeng Wang, Dan Meng:
DIFTSAS: A DIstributed Full Text Search and Analysis System for Big Data. CSE 2013: 1303-1309 - 2012
- [c1]Jiehui Song, Xu Liu, Haiyan He, Shaowen Shou, Jinchao Zhang:
Synoptic Analysis and Numerical Simulations of an Air Pollution Episode over Ningbo City in Winter. CSO 2012: 892-895
Coauthor Index
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