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Author search results
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- Chandan K. Reddy
Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
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- Chandan K. A. Reddy
Microsoft Corporation, Redmond, WA, USA - Chandankumar K. Reddy
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Publication search results
found 288 matches
- 2024
- Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
Discovery of generalizable TBI phenotypes using multivariate time-series clustering. Comput. Biol. Medicine 180: 108997 (2024) - M. Sree Chandana, K. Raghava Rao, B. Naresh Kumar Reddy:
Developing an adaptive active sleep energy efficient method in heterogeneous wireless sensor network. Multim. Tools Appl. 83(5): 13689-13706 (2024) - Anil Kumar Tallam, Konatham Teja Kumar Reddy, Uttam Prasad Panigrahy, Alapati Sahithi, S. Prema, Jeetendra Kumar Gupta, D. Jeslin, Aparajita Neogi, Vinod Thomas, R. S. Chandan:
Bioanalytical Method Development and Validation for the Estimation of Hydroxyproline in Urine Samples of Osteoarthritic Patients Using LC-MS/MS Technique. SN Comput. Sci. 5(7): 884 (2024) - Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy:
StructCoder: Structure-Aware Transformer for Code Generation. ACM Trans. Knowl. Discov. Data 18(3): 70:1-70:20 (2024) - Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning:
Multi-Label Clinical Time-Series Generation via Conditional GAN. IEEE Trans. Knowl. Data Eng. 36(4): 1728-1740 (2024) - Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) 2024: 12333-12347 - Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan Sengamedu:
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation. ACL (Findings) 2024: 8012-8026 - Divya D. Reddy, Niloufar Saadat, James M. Holcomb, Benjamin C. Wagner, Nghi C. Truong, Jason Bowerman, Kimmo J. Hatanpaa, Toral R. Patel, Marco C. Pinho, Ananth J. Madhuranthakam, Chandan Ganesh Bangalore Yogananda, Joseph A. Maldjian:
Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling. CVPR Workshops 2024: 2373-2379 - Xinyu Liang, Fredrik Cumlin, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee:
DeePMOS-$\mathcal{B}$: Deep Posterior Mean-Opinion-Score Using Beta Distribution. EUSIPCO 2024: 416-420 - Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR 2024 - Surajit Das, Hetang Patel, Chandan Karfa, Kartheek Bellamkonda, Rahul Reddy, Disha Puri, Anshul Jain, Arijit Sur, Pradip Prajapati:
RTL Simulation Acceleration with Machine Learning Models. ISQED 2024: 1-7 - Bhabesh Mali, Karthik Maddala, Vatsal Gupta, Sweeya Reddy, Chandan Karfa, Ramesh Karri:
ChIRAAG: ChatGPT Informed Rapid and Automated Assertion Generation. ISVLSI 2024: 680-683 - Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy:
KDD workshop on Evaluation and Trustworthiness of Generative AI Models. KDD 2024: 6729-6730 - Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) 2024: 206-215 - Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR abs/2401.06310 (2024) - Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering. CoRR abs/2401.08002 (2024) - Bhabesh Mali, Karthik Maddala, Sweeya Reddy, Vatsal Gupta, Chandan Karfa, Ramesh Karri:
ChIRAAG: ChatGPT Informed Rapid and Automated Assertion Generation. CoRR abs/2402.00093 (2024) - Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR abs/2403.00923 (2024) - Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy:
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. CoRR abs/2404.18400 (2024) - Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. CoRR abs/2405.00988 (2024) - Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian:
Can Better Text Semantics in Prompt Tuning Improve VLM Generalization? CoRR abs/2405.07921 (2024) - Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Yanjie Fu:
Evolutionary Large Language Model for Automated Feature Transformation. CoRR abs/2405.16203 (2024) - Mansi Kakkar, Dattesh Shanbhag, Chandan Aladahalli, Gurunath Reddy M:
Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images. CoRR abs/2405.20735 (2024) - Fanyou Wu, Weijie Xu, Chandan K. Reddy, Srinivasan H. Sengamedu:
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation. CoRR abs/2406.03703 (2024) - Mehrdad Khatir, Chandan K. Reddy:
Concept Formation and Alignment in Language Models: Bridging Statistical Patterns in Latent Space to Concept Taxonomy. CoRR abs/2406.05315 (2024) - Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy:
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables. CoRR abs/2407.05952 (2024) - Artem Dementyev, Chandan K. A. Reddy, Scott Wisdom, Navin Chatlani, John R. Hershey, Richard F. Lyon:
Towards sub-millisecond latency real-time speech enhancement models on hearables. CoRR abs/2409.18239 (2024) - Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy:
Mitigating Selection Bias with Node Pruning and Auxiliary Options. CoRR abs/2409.18857 (2024) - Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy:
Knowledge Graph Enhanced Language Agents for Recommendation. CoRR abs/2410.19627 (2024) - 2023
- Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian:
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. J. Biomed. Informatics 143: 104401 (2023)
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