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2020 – today
- 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. iJET 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 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 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]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Distributed inference over regression and classification models. ICASSP 2013: 5406-5410 - [c18]Jianshu Chen, Jianlun Wang, Shuting Wang, Hao Liu:
The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method. CCTA (1) 2013: 32-40 - [c17]Jianlun Wang, Shuting Wang, Jianshu Chen, Hao Liu, Dongbo Xu:
Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC. CCTA (1) 2013: 41-51 - [c16]Ali H. Sayed, Sheng-Yuan Tu, Jianshu Chen:
Online learning and adaptation over networks: More information is not necessarily better. ITA 2013: 1-8 - [i10]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
On Distributed Online Classification in the Midst of Concept Drifts. CoRR abs/1301.0047 (2013) - [i9]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Excess-Risk Analysis of Distributed Stochastic Learners. CoRR abs/1302.1157 (2013) - [i8]Jianshu Chen, Ali H. Sayed:
On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis. CoRR abs/1312.7580 (2013) - [i7]Jianshu Chen, Ali H. Sayed:
On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis. CoRR abs/1312.7581 (2013) - [i6]Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed:
Distributed Policy Evaluation Under Multiple Behavior Strategies. CoRR abs/1312.7606 (2013) - 2012
- [j1]Jianshu Chen, Ali H. Sayed:
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks. IEEE Trans. Signal Process. 60(8): 4289-4305 (2012) - [c15]Jianshu Chen, Ali H. Sayed:
On the limiting behavior of distributed optimization strategies. Allerton Conference 2012: 1535-1542 - [c14]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Distributed learning via Diffusion adaptation with application to ensemble learning. ESANN 2012 - [c13]Jianshu Chen, Ali H. Sayed:
Performance of diffusion adaptation for collaborative optimization. ICASSP 2012: 3753-3756 - [c12]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Distributed throughput optimization over P2P mesh networks using diffusion adaptation. ICC 2012: 648-652 - [c11]Jianlun Wang, Yu Han, Zetian Fu, Daoliang Li, Jianshu Chen, Shuting Wang:
Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images. CCTA (1) 2012: 58-68 - [c10]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
On the generalization ability of distributed online learners. MLSP 2012: 1-6 - [c9]Xiaochuan Zhao, Jianshu Chen, Ali H. Sayed:
Beam coordination via diffusion adaptation over array networks. SPAWC 2012: 105-109 - [c8]Jianshu Chen, Ali H. Sayed:
Distributed pareto-optimal solutions via diffusion adaptation. SSP 2012: 648-651 - [i5]Jun Wang, Jianshu Chen, Danijela Cabric:
Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks. CoRR abs/1207.1469 (2012) - [i4]Jianshu Chen, Ali H. Sayed:
Distributed Pareto Optimization via Diffusion Strategies. CoRR abs/1208.2503 (2012) - 2011
- [c7]Jianshu Chen, Sheng-Yuan Tu, Ali H. Sayed:
Distributed optimization via diffusion adaptation. CAMSAP 2011: 281-284 - [c6]Jianshu Chen, Ali H. Sayed:
Bio-inspired cooperative optimization with application to bacteria motility. ICASSP 2011: 5788-5791 - [c5]Songbai Wang, Jian Wang, Jianshu Chen, Xiuming Shan:
Optimalwaveform design for MIMO radarwith low probability of interception. DSP 2011: 1-5 - [c4]Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Collaborative learning of mixture models using diffusion adaptation. MLSP 2011: 1-6 - [i3]Jianshu Chen, Ali H. Sayed:
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks. CoRR abs/1111.0034 (2011) - 2010
- [i2]Jianshu Chen, Jian Wang, Xiuming Shan, Ning Ge, Xiang-Gen Xia:
Performance Analysis of the Matrix Pair Beamformer with Matrix Mismatch. CoRR abs/1009.5979 (2010) - [i1]Jian Wang, Jianshu Chen, Jian Yuan, Ning Ge, Shuangqing Wei:
A Multi-Interference-Channel Matrix Pair Beamformer for CDMA Systems. CoRR abs/1009.6079 (2010)
2000 – 2009
- 2009
- [c3]Pengyu Zhang, Jian Yuan, Jianshu Chen, Jian Wang, Jin Yang:
Analyzing amplify-and-forward and decode-and-forward cooperative strategies in Wyner's channel model. WCNC 2009: 1-6 - 2008
- [c2]Jianshu Chen, Jian Wang, Pengyu Zhang, Jian Yuan, Xiuming Shan:
An Orthogonal Projection Approach for Blind Beamforming in Multipath CDMA Channels. CNSR 2008: 496-503 - 2007
- [c1]Jun Hong, Xuedan Zhang, Jianshu Chen, Zhongya Wei, Jiannong Cao, Yong Ren:
Analysis of Time- and Space-domain Sampling for Probe Vehicle-based Traffic Information System. ITSC 2007: 836-841