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2020 – today
- 2023
[c72]Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen:
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. EACL 2023: 2993-3002- [i57]Jianshu Chen:
Learning Language Representations with Logical Inductive Bias. CoRR abs/2302.09458 (2023) - [i56]Nan Xu, Hongming Zhang, Jianshu Chen:
CEO: Corpus-based Open-Domain Event Ontology Induction. CoRR abs/2305.13521 (2023) - [i55]Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen:
PIVOINE: Instruction Tuning for Open-world Information Extraction. CoRR abs/2305.14898 (2023) - 2022
- [c71]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. ACL (2) 2022: 212-218 - [c70]Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen:
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. ACL (2) 2022: 371-377 - [c69]Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie:
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. ACL (1) 2022: 8736-8747 - [c68]Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. EMNLP 2022: 1186-1203 - [c67]Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. ICDM (Workshops) 2022: 1-6 - [c66]Jianyi Zhang, Yiran Chen, Jianshu Chen:
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. ICDM (Workshops) 2022: 1-11 - [i54]Daoming Lyu, Bo Liu, Jianshu Chen:
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent. CoRR abs/2202.00531 (2022) - [i53]Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen:
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. CoRR abs/2203.08928 (2022) - [i52]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR abs/2203.10249 (2022) - [i51]Yulai Zhao, Jianshu Chen, Simon S. Du:
Blessing of Class Diversity in Pre-training. CoRR abs/2209.03447 (2022) - [i50]Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji:
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. CoRR abs/2210.00185 (2022) - [i49]Jianyi Zhang, Yiran Chen, Jianshu Chen:
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. CoRR abs/2210.02729 (2022) - [i48]Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan:
Explanations from Large Language Models Make Small Reasoners Better. CoRR abs/2210.06726 (2022) - [i47]Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. CoRR abs/2210.12261 (2022) - [i46]Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen:
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. CoRR abs/2210.16433 (2022) - [i45]Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. CoRR abs/2212.03091 (2022) - 2021
- [c65]Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao:
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. ACSCC 2021: 1361-1366 - [c64]Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu:
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. EMNLP (1) 2021: 7741-7751 - [i44]Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu:
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. CoRR abs/2110.14091 (2021) - 2020
- [j17]Yue Zhao
, Jianshu Chen, H. Vincent Poor:
A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification. IEEE Trans. Smart Grid 11(1): 555-564 (2020) - [c63]Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu:
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. ACL 2020: 5429-5434 - [c62]Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu:
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. ACL 2020: 6751-6761 - [c61]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. ACL 2020: 7929-7942 - [c60]Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li:
Comprehensive Image Captioning via Scene Graph Decomposition. ECCV (14) 2020: 211-229 - [c59]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. ICLR 2020 - [c58]Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu:
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. ICLR 2020 - [i43]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. CoRR abs/2004.10404 (2020) - [i42]Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu:
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. CoRR abs/2005.08056 (2020) - [i41]Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen:
On Effective Parallelization of Monte Carlo Tree Search. CoRR abs/2006.08785 (2020) - [i40]Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li:
Comprehensive Image Captioning via Scene Graph Decomposition. CoRR abs/2007.11731 (2020) - [i39]Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie:
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. CoRR abs/2009.05831 (2020)
2010 – 2019
- 2019
- [j16]Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. Trans. Assoc. Comput. Linguistics 7: 217-231 (2019) - [c57]Jiaao Chen, Jianshu Chen, Zhou Yu:
Incorporating Structured Commonsense Knowledge in Story Completion. AAAI 2019: 6244-6251 - [c56]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) 2019: 3696-3709 - [c55]Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu:
Improving Question Answering with External Knowledge. MRQA@EMNLP 2019: 27-37 - [c54]Sichen Zhong, Yue Zhao, Jianshu Chen:
Learning to Recover Sparse Signals. Allerton 2019: 995-1000 - [c53]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu:
Improving Pre-Trained Multilingual Model with Vocabulary Expansion. CoNLL 2019: 316-327 - [c52]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth:
Evidence Sentence Extraction for Machine Reading Comprehension. CoNLL 2019: 696-707 - [c51]Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu:
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. ICLR (Poster) 2019 - [c50]Adithya M. Devraj, Jianshu Chen:
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. NeurIPS 2019: 9878-9888 - [i38]Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. CoRR abs/1902.00164 (2019) - [i37]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester:
Evidence Sentence Extraction for Machine Reading Comprehension. CoRR abs/1902.08852 (2019) - [i36]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR abs/1905.12866 (2019) - [i35]Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen:
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. CoRR abs/1906.02826 (2019) - [i34]Adithya M. Devraj, Jianshu Chen:
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. CoRR abs/1907.09150 (2019) - [i33]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. CoRR abs/1909.02164 (2019) - [i32]Shiyang Li, Jianshu Chen, Dian Yu:
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach. CoRR abs/1909.09743 (2019) - [i31]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu:
Improving Pre-Trained Multilingual Models with Vocabulary Expansion. CoRR abs/1909.12440 (2019) - 2018
- [j15]Yongfei Zhang, Jianshu Chen, Dan Miao, Chen Zhang:
Design and Analysis of an Interactive MOOC Teaching System Based on Virtual Reality. Int. J. Emerg. Technol. Learn. 13(7): 111-123 (2018) - [c49]Yue Zhao, Jianshu Chen, H. Vincent Poor:
Learning to Infer Power Grid Topologies: Performance and Scalability. DSW 2018: 215-219 - [c48]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP 2018: 414-424 - [c47]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) 2018 - [c46]Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song:
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML 2018: 1133-1142 - [c45]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS 2018: 6787-6798 - [c44]Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song:
Coupled Variational Bayes via Optimization Embedding. NeurIPS 2018: 9713-9723 - [i30]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR abs/1802.04394 (2018) - [i29]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. CoRR abs/1808.06244 (2018) - [i28]Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu:
P-MCGS: Parallel Monte Carlo Acyclic Graph Search. CoRR abs/1810.11755 (2018) - [i27]Jiaao Chen, Jianshu Chen, Zhou Yu:
Incorporating Structured Commonsense Knowledge in Story Completion. CoRR abs/1811.00625 (2018) - [i26]Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu:
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. CoRR abs/1812.09323 (2018) - 2017
- [c43]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level deep conflation for business data analytics. ICASSP 2017: 2222-2226 - [c42]Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou:
Stochastic Variance Reduction Methods for Policy Evaluation. ICML 2017: 1049-1058 - [c41]Yu Liu, Jianshu Chen, Li Deng:
Unsupervised Sequence Classification using Sequential Output Statistics. NIPS 2017: 3550-3559 - [c40]Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng:
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. NIPS 2017: 4977-4986 - [c39]Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, Ming Zhang:
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. NSDI 2017: 469-482 - [i25]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level Deep Conflation for Business Data Analytics. CoRR abs/1702.02640 (2017) - [i24]Yu Liu, Jianshu Chen, Li Deng:
An Unsupervised Learning Method Exploiting Sequential Output Statistics. CoRR abs/1702.07817 (2017) - [i23]Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou:
Stochastic Variance Reduction Methods for Policy Evaluation. CoRR abs/1702.07944 (2017) - [i22]Yue Zhao, Jianshu Chen, H. Vincent Poor:
A Learning-to-Infer Method for Real-Time Power Grid Topology Identification. CoRR abs/1710.07818 (2017) - [i21]Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song:
Smoothed Dual Embedding Control. CoRR abs/1712.10285 (2017) - 2016
- [j14]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [j13]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Excess-Risk of Distributed Stochastic Learners. IEEE Trans. Inf. Theory 62(10): 5753-5785 (2016) - [c38]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) 2016 - [c37]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP 2016: 1838-1848 - [c36]Yue Zhao, Jianshu Chen, H. Vincent Poor:
Efficient neural network architecture for topology identification in smart grid. GlobalSIP 2016: 811-815 - [c35]Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng:
Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP 2016: 2429-2433 - [c34]Kong-Aik Lee, Haizhou Li, Li Deng, Ville Hautamäki, Wei Rao, Xiong Xiao, Anthony Larcher, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Jianshu Chen, Ivan Kukanov, Amir Hossein Poorjam, Trung Ngo Trong, Chenglin Xu, Haihua Xu, Bin Ma, Eng Siong Chng, Sylvain Meignier:
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. INTERSPEECH 2016: 3211-3215 - [c33]Yue Zhao, Jianshu Chen, H. Vincent Poor:
Learning to infer: A new variational inference approach for power grid topology identification. SSP 2016: 1-5 - [i20]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR abs/1606.03667 (2016) - [i19]Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng:
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR abs/1606.04646 (2016) - [i18]Zachary C. Lipton, Jianfeng Gao, Lihong Li, Jianshu Chen, Li Deng:
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. CoRR abs/1611.01211 (2016) - 2015
- [j12]Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed:
Distributed Policy Evaluation Under Multiple Behavior Strategies. IEEE Trans. Autom. Control. 60(5): 1260-1274 (2015) - [j11]Jianshu Chen, Ali H. Sayed:
On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis. IEEE Trans. Inf. Theory 61(6): 3487-3517 (2015) - [j10]Jianshu Chen, Ali H. Sayed:
On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis. IEEE Trans. Inf. Theory 61(6): 3518-3548 (2015) - [j9]Jianshu Chen, Zaid J. Towfic, Ali H. Sayed:
Dictionary Learning Over Distributed Models. IEEE Trans. Signal Process. 63(4): 1001-1016 (2015) - [j8]Jun Wang, Jianshu Chen, You Lu, Mario Gerla, Danijela Cabric:
Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks. IEEE Wirel. Commun. Lett. 4(2): 113-116 (2015) - [c32]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops 2015: 631-638 - [c31]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS 2015: 1765-1773 - [i17]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i16]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. CoRR abs/1504.02824 (2015) - [i15]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR abs/1508.03398 (2015) - [i14]Xiujun Li, Lihong Li, Jianfeng Gao, Xiaodong He, Jianshu Chen, Li Deng, Ji He:
Recurrent Reinforcement Learning: A Hybrid Approach. CoRR abs/1509.03044 (2015) - [i13]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with an Unbounded Action Space. CoRR abs/1511.04636 (2015) - 2014
- [b1]Jianshu Chen:
On the Learning Behavior of Adaptive Networks. University of California, Los Angeles, USA, 2014 - [j7]Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor:
Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations. IEEE J. Sel. Top. Signal Process. 8(6): 1140-1153 (2014) - [c30]Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
Line outage detection in power transmission networks via message passing algorithms. ACSSC 2014: 350-354 - [c29]Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor:
Dynamic joint outage identification and state estimation in power systems. ACSSC 2014: 1138-1142 - [c28]Jianshu Chen, Zaid J. Towfic, Ali H. Sayed:
Online dictionary learning over distributed models. ICASSP 2014: 3874-3878 - [c27]Li Deng, Jianshu Chen:
Sequence classification using the high-level features extracted from deep neural networks. ICASSP 2014: 6844-6848 - [c26]Jianlun Wang, Xiaoying Cui, Dongbo Xu, Shuangshaung Zhao, Hao Liu, Shuting Wang, Jianshu Chen:
Plant Image Analysis Machine Vision System in Greenhouse. CCTA 2014: 662-690 - [c25]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Dictionary learning over large distributed models via dual-ADMM strategies. MLSP 2014: 1-6 - [c24]Jianshu Chen, Li Deng:
A New Method for Learning Deep Recurrent Neural Networks. ICLR (Workshop Poster) 2014 - [i12]Jianshu Chen, Zaid J. Towfic, Ali H. Sayed:
Dictionary Learning over Distributed Models. CoRR abs/1402.1515 (2014) - [i11]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [j6]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
On distributed online classification in the midst of concept drifts. Neurocomputing 112: 138-152 (2013) - [j5]Jianshu Chen, Ali H. Sayed:
Distributed Pareto Optimization via Diffusion Strategies. IEEE J. Sel. Top. Signal Process. 7(2): 205-220 (2013) - [j4]Ali H. Sayed, Sheng-Yuan Tu, Jianshu Chen, Xiaochuan Zhao, Zaid J. Towfic:
Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior. IEEE Signal Process. Mag. 30(3): 155-171 (2013) - [j3]Jun Wang, Jianshu Chen, Danijela Cabric:
Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 12(3): 1363-1375 (2013) - [j2]Jun Wang, Jianshu Chen, Danijela Cabric:
Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation. IEEE Wirel. Commun. Lett. 2(3): 327-330 (2013) - [c23]Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
Optimal joint detection and estimation in linear models. CDC 2013: 4416-4421 - [c22]Jianshu Chen, Ali H. Sayed:
On the benefits of diffusion cooperation for distributed optimization and learning. EUSIPCO 2013: 1-5 - [c21]Jianshu Chen, Ali H. Sayed:
On the probability distribution of distributed optimization strategies. GlobalSIP 2013: 555-558 - [c20]Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed:
Cooperative off-policy prediction of Markov decision processes in adaptive networks. ICASSP 2013: 4539-4543 - [c19]