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Mehul Motani
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- affiliation: National University of Singapore, Singapore
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2020 – today
- 2024
- [j104]Lih Wei Chia, Mehul Motani:
High-Performance OCC with Edge Processing on SPAD and Event-Based Cameras. IEEE Commun. Mag. 62(3): 62-67 (2024) - [j103]Jennifer Sumner, Anjali Bundele, Hui Wen Lim, Phillip Phan, Mehul Motani, Amartya Mukhopadhyay:
Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach. J. Medical Syst. 48(1): 3 (2024) - [c164]Kei Sen Fong, Mehul Motani:
Symbolic Regression Enhanced Decision Trees for Classification Tasks. AAAI 2024: 12033-12042 - [c163]Kei Sen Fong, Mehul Motani:
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data. AISTATS 2024: 2890-2898 - [c162]Kei Sen Fong, Mehul Motani:
MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression. GECCO 2024 - [c161]Kei Sen Fong, Mehul Motani:
Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. GECCO Companion 2024: 37-38 - [c160]Cheuk Ting Leung, Rohan Ghosh, Mehul Motani:
Multi-Task Generalizable Communication: Beyond the Information Bottleneck. ICC 2024: 980-985 - [i57]Chong Min John Tan, Prince Saroj, Bharat Runwal, Hardik Maheshwari, Brian Lim Yi Sheng, Richard Cottrill, Alankrit Chona, Ambuj Kumar, Mehul Motani:
TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON. CoRR abs/2407.15734 (2024) - [i56]Zhuangfei Wu, Lin Bai, Jinpeng Xu, Lin Zhou, Mehul Motani:
The Dispersion of Broadcast Channels With Degraded Message Sets Using Gaussian Codebooks. CoRR abs/2410.17540 (2024) - 2023
- [j102]Lin Zhou, Mehul Motani:
Finite Blocklength Lossy Source Coding for Discrete Memoryless Sources. Found. Trends Commun. Inf. Theory 20(3): 157-389 (2023) - [j101]Yanxin Yao, Yibo Chen, Han Yao, Zhengwei Ni, Mehul Motani:
Multiple Task Resource Allocation Considering QoS in Energy Harvesting Systems. IEEE Internet Things J. 10(9, May 1): 7893-7908 (2023) - [j100]Cheuk Ting Leung, Rajshekhar Vishweshwar Bhat, Mehul Motani:
Low Latency Energy-Efficient Neural Decoders for Block Codes. IEEE Trans. Green Commun. Netw. 7(2): 680-691 (2023) - [j99]Shiyu Liu, Rohan Ghosh, Mehul Motani:
AP: Selective Activation for De-sparsifying Pruned Networks. Trans. Mach. Learn. Res. 2023 (2023) - [j98]Shiyu Liu, Rohan Ghosh, Chong Min John Tan, Mehul Motani:
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c159]Rohan Ghosh, Mehul Motani:
Local Intrinsic Dimensional Entropy. AAAI 2023: 7714-7721 - [c158]Shelvia Wongso, Rohan Ghosh, Mehul Motani:
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks. AISTATS 2023: 11608-11629 - [c157]Kei Sen Fong, Shelvia Wongso, Mehul Motani:
Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. GECCO Companion 2023: 21-22 - [c156]Kei Sen Fong, Mehul Motani:
DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression. GECCO Companion 2023: 567-570 - [c155]Chong Min John Tan, Mehul Motani:
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments. ICDL 2023: 1-6 - [c154]Kei Sen Fong, Shelvia Wongso, Mehul Motani:
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms. ICLR 2023 - [c153]Shelvia Wongso, Rohan Ghosh, Mehul Motani:
Pointwise Sliced Mutual Information for Neural Network Explainability. ISIT 2023: 1776-1781 - [c152]Danliang Ho, Mehul Motani:
Multi-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence. MLHC 2023: 265-284 - [i55]Lin Zhou, Mehul Motani:
On Finite Blocklength Lossy Source Coding. CoRR abs/2301.07871 (2023) - [i54]Chong Min John Tan, Mehul Motani:
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments. CoRR abs/2301.13758 (2023) - [i53]Rohan Ghosh, Mehul Motani:
Local Intrinsic Dimensional Entropy. CoRR abs/2304.02223 (2023) - [i52]Chong Min John Tan, Mehul Motani:
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge. CoRR abs/2310.05146 (2023) - 2022
- [j97]Junhui Zhao, Lihua Yang, Minghua Xia, Mehul Motani:
Unified Analysis of Coordinated Multipoint Transmissions in mmWave Cellular Networks. IEEE Internet Things J. 9(14): 12166-12180 (2022) - [j96]Chongyu Zhou, Chen-Khong Tham, Mehul Motani:
Long-Term Incentives for Contributor-Initiated Proactive Sensing in Mobile Crowdsensing. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1475-1491 (2022) - [c151]Senhao Gao, Mehul Motani:
Combining Blind Equalization and Automatic Modulation Classification in a Loop Structure. GLOBECOM 2022: 2536-2541 - [c150]Shelvia Wongso, Rohan Ghosh, Mehul Motani:
Understanding Deep Neural Networks Using Sliced Mutual Information. ISIT 2022: 133-138 - [c149]Danliang Ho, Mehul Motani:
Machine and Deep Learning Methods for Predicting Immune Checkpoint Blockade Response. ML4H@NeurIPS 2022: 512-529 - [i51]Chong Min John Tan, Mehul Motani:
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments. CoRR abs/2207.05991 (2022) - [i50]Chong Min John Tan, Mehul Motani:
DropNet: Reducing Neural Network Complexity via Iterative Pruning. CoRR abs/2207.06646 (2022) - [i49]Shiyu Liu, Rohan Ghosh, Mehul Motani:
Towards Better Long-range Time Series Forecasting using Generative Forecasting. CoRR abs/2212.06142 (2022) - [i48]Shiyu Liu, Mehul Motani:
Improving Mutual Information based Feature Selection by Boosting Unique Relevance. CoRR abs/2212.06143 (2022) - [i47]Shiyu Liu, Rohan Ghosh, Chong Min John Tan, Mehul Motani:
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks. CoRR abs/2212.06144 (2022) - [i46]Shiyu Liu, Rohan Ghosh, Dylan Tan, Mehul Motani:
AP: Selective Activation for De-sparsifying Pruned Neural Networks. CoRR abs/2212.06145 (2022) - 2021
- [j95]Yanxin Yao, Zhengwei Ni, Wanqiu Hu, Mehul Motani:
Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage. IEEE Access 9: 96613-96628 (2021) - [j94]Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Minimization of Age of Information in Fading Multiple Access Channels. IEEE J. Sel. Areas Commun. 39(5): 1471-1484 (2021) - [j93]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. IEEE Trans. Commun. 69(5): 2824-2836 (2021) - [j92]Han Mao Kiah, Anshoo Tandon, Mehul Motani:
Generalized Sphere-Packing Bound for Subblock-Constrained Codes. IEEE Trans. Inf. Theory 67(1): 187-199 (2021) - [j91]Linbo Zhang, Tong Liu, Mehul Motani:
Optimal Multicasting Strategies in Underwater Acoustic Networks. IEEE Trans. Mob. Comput. 20(2): 678-690 (2021) - [j90]Lihua Yang, Teng Joon Lim, Junhui Zhao, Mehul Motani:
Modeling and Analysis of HetNets With Interference Management Using Poisson Cluster Process. IEEE Trans. Veh. Technol. 70(11): 12039-12054 (2021) - [j89]Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Throughput Maximization With an Average Age of Information Constraint in Fading Channels. IEEE Trans. Wirel. Commun. 20(1): 481-494 (2021) - [c148]Danliang Ho, Iain Bee Huat Tan, Mehul Motani:
Predictive models for colorectal cancer recurrence using multi-modal healthcare data. CHIL 2021: 204-213 - [c147]Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri:
Fountain Coding for Information Protection in Tactical Networks. ICMCIS 2021: 1-8 - [c146]Kui Cai, Han Mao Kiah, Mehul Motani, Tuan Thanh Nguyen:
Coding for Segmented Edits with Local Weight Constraints. ISIT 2021: 1694-1699 - [c145]Danliang Ho, Iain Bee Huat Tan, Mehul Motani:
Prognosticating Colorectal Cancer Recurrence using an Interpretable Deep Multi-view Network. ML4H@NeurIPS 2021: 97-109 - [c144]Rohan Ghosh, Mehul Motani:
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization. NeurIPS 2021: 6341-6352 - [i45]Shiyu Liu, Chong Min John Tan, Mehul Motani:
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks. CoRR abs/2110.08764 (2021) - [i44]Shiyu Liu, Mehul Motani:
Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks. CoRR abs/2110.08770 (2021) - [i43]Vikrant Malik, Rohan Ghosh, Mehul Motani:
Achieving Low Complexity Neural Decoders via Iterative Pruning. CoRR abs/2112.06044 (2021) - 2020
- [j88]Zhengwei Ni, Yinan Luo, Mehul Motani, Chuanhuang Li:
DoA Estimation for Lens Antenna Array via Root-MUSIC, Outlier Detection, and Clustering. IEEE Access 8: 199187-199196 (2020) - [j87]Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri:
Exploring Performance Trade-offs in Tactical Edge Networks. IEEE Commun. Mag. 58(8): 28-33 (2020) - [j86]Chongyu Zhou, Chen-Khong Tham, Mehul Motani:
Online auction for scheduling concurrent delay tolerant tasks in crowdsourcing systems. Comput. Networks 169: 107045 (2020) - [j85]Rajshekhar Vishweshwar Bhat, Mehul Motani, Chandra R. Murthy, Rahul Vaze:
Energy Harvesting Communications With Batteries Having Cycle Constraints. IEEE Trans. Green Commun. Netw. 4(1): 263-276 (2020) - [j84]Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Outage-Constrained Rate of Skip-Sliding Window Codes. IEEE Trans. Green Commun. Netw. 4(2): 506-514 (2020) - [c143]Danliang Ho, Dawn Qingqing Chong, Brenda Tay, Iain Bee Huat Tan, Mehul Motani:
Prognosticating Colorectal Cancer Recurrence using Machine Learning Techniques. HealthCom 2020: 1-6 - [c142]Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Throughput Maximization with an Average Age of Information Constraint in Fading Channels. ICC Workshops 2020: 1-6 - [c141]Cheuk Ting Leung, Rajshekhar Vishweshwar Bhat, Mehul Motani:
Multi-Label Neural Decoders for Block Codes. ICC 2020: 1-6 - [c140]Chong Min John Tan, Mehul Motani:
DropNet: Reducing Neural Network Complexity via Iterative Pruning. ICML 2020: 9356-9366 - [c139]Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Age of Information Minimization in Fading Multiple Access Channels. INFOCOM Workshops 2020: 948-953 - [c138]Cheuk Ting Leung, Mehul Motani, Rajshekhar Vishweshwar Bhat:
Multi-Label and Concatenated Neural Block Decoders. ISIT 2020: 274-279 - [c137]Shiyu Liu, Mehul Motani:
Exploring Unique Relevance for Mutual Information based Feature Selection. ISIT 2020: 2747-2752
2010 – 2019
- 2019
- [j83]Zhengwei Ni, Mehul Motani:
A Simplified Dependence Balance-Based Outer Bound for Gaussian MAC With Noisy Feedback. IEEE Commun. Lett. 23(2): 238-241 (2019) - [j82]Lin Zhou, Albrecht Wolf, Mehul Motani:
On Lossy Multi-Connectivity: Finite Blocklength Performance and Second-Order Asymptotics. IEEE J. Sel. Areas Commun. 37(4): 735-748 (2019) - [j81]Zhengwei Ni, Mehul Motani:
Gaussian Mixture Noise Channels With Minimum and Peak Amplitude Constraints. IEEE Trans. Commun. 67(6): 3954-3964 (2019) - [j80]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer? IEEE Trans. Green Commun. Netw. 3(4): 988-996 (2019) - [j79]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels. IEEE Trans. Inf. Theory 65(4): 2234-2251 (2019) - [j78]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Refined Asymptotics for Rate-Distortion Using Gaussian Codebooks for Arbitrary Sources. IEEE Trans. Inf. Theory 65(5): 3145-3159 (2019) - [j77]Lin Zhou, Mehul Motani:
Non-Asymptotic Converse Bounds and Refined Asymptotics for Two Source Coding Problems. IEEE Trans. Inf. Theory 65(10): 6414-6440 (2019) - [j76]Chongyu Zhou, Yao Jia, Mehul Motani:
Optimizing Autoencoders for Learning Deep Representations From Health Data. IEEE J. Biomed. Health Informatics 23(1): 103-111 (2019) - [j75]Chongyu Zhou, Chen-Khong Tham, Mehul Motani:
Finding Decomposable Models for Efficient Distributed Inference over Sensor Networks. IEEE Trans. Mob. Comput. 18(1): 70-83 (2019) - [j74]Zhengwei Ni, Mehul Motani:
Online Policies for Energy Harvesting Receivers With Time-Switching Architectures. IEEE Trans. Wirel. Commun. 18(2): 1233-1246 (2019) - [j73]Rajshekhar Vishweshwar Bhat, Mehul Motani, Teng Joon Lim:
Hybrid NOMA for an Energy Harvesting MAC With Non-Ideal Batteries and Circuit Power. IEEE Trans. Wirel. Commun. 18(8): 3961-3973 (2019) - [j72]Aidi Huang, Mehul Motani:
A geographical segment architecture for connected vehicle networks. Veh. Commun. 19 (2019) - [c136]Shiyu Liu, Jia Yao, Mehul Motani:
Early Prediction of Vital Signs Using Generative Boosting via LSTM Networks. BIBM 2019: 437-444 - [c135]Shiyu Liu, Ming Lun Ong, Kar Kin Mun, Jia Yao, Mehul Motani:
Early Prediction of Sepsis via SMOTE Upsampling and Mutual Information Based Downsampling. CinC 2019: 1-4 - [c134]Jia Yao, Ming Lun Ong, Kar Kin Mun, Shiyu Liu, Mehul Motani:
Hybrid Feature Learning Using Autoencoders for Early Prediction of Sepsis. CinC 2019: 1-4 - [c133]Cheuk Ting Leung, Rajshekhar Vishweshwar Bhat, Mehul Motani:
Low-Latency Neural Decoders for Linear and Non-Linear Block Codes. GLOBECOM 2019: 1-6 - [c132]Rajshekhar Vishweshwar Bhat, Mehul Motani, Chandra R. Murthy, Rahul Vaze:
Energy Harvesting Communications with Batteries Having Full-Cycle Constraints. ICC 2019: 1-6 - [c131]Rohan Ghosh, Anupam K. Gupta, Mehul Motani:
Investigating Convolutional Neural Networks using Spatial Orderness. ICCV Workshops 2019: 2053-2056 - [c130]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order Asymptotically Optimal Statistical Classification. ISIT 2019: 231-235 - [c129]Han Mao Kiah, Anshoo Tandon, Mehul Motani:
Generalized Sphere-Packing Bound for Subblock-Constrained Codes. ISIT 2019: 1737-1741 - [c128]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Multicasting Energy and Information Simultaneously. ISIT 2019: 2494-2498 - [c127]Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney:
On the Outage-Constrained Rate of Skip-Sliding Window Codes. ITW 2019: 1-5 - [i42]Han Mao Kiah, Anshoo Tandon, Mehul Motani:
Generalized Sphere-Packing Bound for Subblock-Constrained Codes. CoRR abs/1901.00387 (2019) - [i41]Shiyu Liu, Mehul Motani:
Long-range Prediction of Vital Signs Using Generative Boosting via LSTM Networks. CoRR abs/1911.06621 (2019) - [i40]Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Throughput Maximization with an Average Age of Information Constraint in Fading Channels. CoRR abs/1911.07499 (2019) - 2018
- [j71]Zhengwei Ni, Rajshekhar Vishweshwar Bhat, Mehul Motani:
On Dual-Path Energy-Harvesting Receivers for IoT With Batteries Having Internal Resistance. IEEE Internet Things J. 5(4): 2741-2752 (2018) - [j70]Zhengwei Ni, Mehul Motani:
Performance of Energy Harvesting Receivers With Power Optimization. IEEE Trans. Commun. 66(3): 1309-1321 (2018) - [j69]Rajshekhar Vishweshwar Bhat, Mehul Motani, Teng Joon Lim:
Energy Harvesting Communications Without Transmitter Channel State Information Using Layered Coding. IEEE Trans. Green Commun. Netw. 2(1): 127-142 (2018) - [j68]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources. IEEE Trans. Inf. Theory 64(5): 3756-3780 (2018) - [j67]Lin Zhou, Vincent Y. F. Tan, Lei Yu, Mehul Motani:
Exponential Strong Converse for Content Identification With Lossy Recovery. IEEE Trans. Inf. Theory 64(8): 5879-5897 (2018) - [j66]Anshoo Tandon, Han Mao Kiah, Mehul Motani:
Bounds on the Size and Asymptotic Rate of Subblock-Constrained Codes. IEEE Trans. Inf. Theory 64(10): 6604-6619 (2018) - [c126]Shiyu Liu, Jia Yao, Chongyu Zhou, Mehul Motani:
SURI: Feature Selection Based on Unique Relevant Information for Health Data. BIBM 2018: 687-692 - [c125]Zhengwei Ni, Mehul Motani:
On Gaussian mixture noise channels with minimum and peak amplitude constraints. CISS 2018: 1-6 - [c124]Lin Zhou, Albrecht Wolf, Mehul Motani:
On the Finite Blocklength Performance of Lossy Multi-Connectivity. GLOBECOM 2018: 1-6 - [c123]Rajshekhar Vishweshwar Bhat, Mehul Motani, Teng Joon Lim:
Hybrid NOMA-TDMA for Multiple Access Channels with Non-Ideal Batteries and Circuit Cost. ISIT 2018: 1091-1095 - [c122]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order Asymptotics of Rate-Distortion using Gaussian Codebooks for Arbitrary Sources. ISIT 2018: 1495-1499 - [c121]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order Asymptotics of Universal JSCC for Arbitrary Sources and Additive Channels. ISIT 2018: 1500-1504 - [c120]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. ISIT 2018: 1799-1803 - [c119]Anshoo Tandon, Mehul Motani:
On the Sphere Packing Error Exponent for Constant Subblock-Composition Codes. ISITA 2018: 266-270 - [c118]Anshoo Tandon, Han Mao Kiah, Mehul Motani:
Improved Asymptotic Sphere-Packing Bounds for Subblock-Constrained Codes. ISITA 2018: 585-589 - [i39]Rajshekhar Vishweshwar Bhat, Mehul Motani, Teng Joon Lim:
Hybrid NOMA-TDMA for Multiple Access Channels with Non-Ideal Batteries and Circuit Cost. CoRR abs/1801.03794 (2018) - [i38]Rajshekhar Vishweshwar Bhat, Mehul Motani, Chandra R. Murthy, Rahul Vaze:
Energy Harvesting Communications Using Dual Alternating Batteries. CoRR abs/1801.03813 (2018) - [i37]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order Asymptotically Optimal Statistical Classification. CoRR abs/1806.00739 (2018) - [i36]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Multicasting Energy and Information Simultaneously. CoRR abs/1806.11271 (2018) - [i35]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Are RLL Codes Suitable for Simultaneous Energy and Information Transfer? CoRR abs/1807.09040 (2018) - [i34]Shiyu Liu, Mehul Motani:
Feature Selection Based on Unique Relevant Information for Health Data. CoRR abs/1812.00415 (2018) - 2017
- [j65]Eldho K. Thomas, Vincent Y. F. Tan, Alexander Vardy, Mehul Motani:
Polar Coding for the Binary Erasure Channel With Deletions. IEEE Commun. Lett. 21(4): 710-713 (2017) - [j64]Yu Wang, Mehul Motani, Hari Krishna Garg, Qian Chen, Tie Luo:
Cooperative Multichannel Directional Medium Access Control for Ad Hoc Networks. IEEE Syst. J. 11(4): 2675-2686 (2017) - [j63]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Discrete Lossy Gray-Wyner Revisited: Second-Order Asymptotics, Large and Moderate Deviations. IEEE Trans. Inf. Theory 63(3): 1766-1791 (2017) - [j62]Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order and Moderate Deviations Asymptotics for Successive Refinement. IEEE Trans. Inf. Theory 63(5): 2896-2921 (2017) - [j61]Anshoo Tandon, Mehul Motani:
A Cross-Layer Approach to Reducing Packet Delay in Polling-Based Multiuser Systems. IEEE Trans. Veh. Technol. 66(2): 1506-1518 (2017) - [j60]Rajshekhar Vishweshwar Bhat, Mehul Motani, Teng Joon Lim:
Energy Harvesting Communication Using Finite-Capacity Batteries With Internal Resistance. IEEE Trans. Wirel. Commun. 16(5): 2822-2834 (2017) - [j59]Zhengwei Ni, Mehul Motani:
Performance of Energy-Harvesting Receivers With Time-Switching Architecture. IEEE Trans. Wirel. Commun. 16(11): 7252-7263 (2017) - [c117]Chongyu Zhou, Yao Jia, Mehul Motani, Jingwei Chew:
Learning Deep Representations from Heterogeneous Patient Data for Predictive Diagnosis. BCB 2017: 115-123 - [c116]Yao Jia, Chongyu Zhou, Mehul Motani:
Spatio-temporal autoencoder for feature learning in patient data with missing observations. BIBM 2017: 886-890 - [c115]Lin Zhou, Mehul Motani:
Kaspi Problem Revisited: Non-Asymptotic Converse Bound and Second-Order Asymptotics. GLOBECOM 2017: 1-6 - [c114]Lin Zhou, Mehul Motani:
On the Multiple Description Coding Problem with One Semi-Deterministic Distortion Measure. GLOBECOM 2017: 1-6 - [c113]