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Author search results
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- Ramana Rao Kompella
aka: Ramana Kompella - Venkata Ramana Rao Gadde
aka: G. V. Ramana Rao, Venkata Gadde - Y. V. Ramana Rao
- Yeragudipati Venkata Ramana Rao
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Publication search results
found 219 matches
- 2024
- K. Venkateswara Rao, B. Venkata Ramana Reddy:
HM-SMF: An Efficient Strategy Optimization using a Hybrid Machine Learning Model for Stock Market Prediction. Int. J. Image Graph. 24(2): 2450013:1-2450013:26 (2024) - Aditya Mahadevan, Ronald Rivera, Mahan Najhawan, Soheil Saadat, Matthew Strehlow, G. V. Ramana Rao, Julie Youm:
Assessing the Efficacy of a Novel Massive Open Online Soft Skills Course for South Asian Healthcare Professionals. J. Medical Syst. 48(1): 32 (2024) - H. V. Ramana Rao, V. Ravi Sankar:
Precision in Prostate Cancer Diagnosis: A Comprehensive Study on Neural Networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 15(2): 109-122 (2024) - K. Venkateswara Rao, B. Venkata Ramana Reddy:
OFML-SMF: Optimal feature selection with hybrid machine learning classifier for stock market price forecasting using social media and secondary data sources. Multim. Tools Appl. 83(2): 4703-4729 (2024) - Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri:
Large Language Models Can Learn Temporal Reasoning. ACL (1) 2024: 10452-10470 - Hezi Zhang, Jixuan Ruan, Hassan Shapourian, Ramana Rao Kompella, Yufei Ding:
OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing. ASPLOS (3) 2024: 738-754 - Tarun Raheja, Raunak Sinha, Advit Deepak, Will Healy, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella:
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks. LREC/COLING 2024: 6007-6016 - Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen:
A Method for Bilevel Optimization with Convex Lower-Level Problem. ICASSP 2024: 9426-9430 - Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu:
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. IoTDI 2024: 122-133 - Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu:
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri:
Large Language Models Can Learn Temporal Reasoning. CoRR abs/2401.06853 (2024) - Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, Bolei Zhou:
Urban Scene Diffusion through Semantic Occupancy Map. CoRR abs/2403.11697 (2024) - Gustav A. Baumgart, Jaemin Shin, Ali Payani, Myungjin Lee, Ramana Rao Kompella:
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study. CoRR abs/2403.17287 (2024) - Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek:
Training-Free Semantic Segmentation via LLM-Supervision. CoRR abs/2404.00701 (2024) - Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu:
A Survey on Large Language Model-Based Game Agents. CoRR abs/2404.02039 (2024) - Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CoRR abs/2405.14136 (2024) - Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang:
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. CoRR abs/2406.08607 (2024) - Myungjin Lee, Akshay Jajoo, Ramana Rao Kompella:
Enabling Elastic Model Serving with MultiWorld. CoRR abs/2407.08980 (2024) - 2023
- K. Venkateswararao, B. Venkata Ramana Reddy:
LT-SMF: long term stock market price trend prediction using optimal hybrid machine learning technique. Artif. Intell. Rev. 56(6): 5365-5402 (2023) - Munipraveena Rela, Suryakari Nagaraja Rao, Patil Ramana Reddy:
A diagnosis system by U-net and deep neural network enabled with optimal feature selection for liver tumor detection using CT images. Multim. Tools Appl. 82(3): 3185-3227 (2023) - Munipraveena Rela, Suryakari Nagaraja Rao, Patil Ramana Reddy:
Correction to: a diagnosis system by U-net and deep neural network enabled with optimal feature selection for liver tumor detection using CT images. Multim. Tools Appl. 82(3): 3229 (2023) - Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella:
Flame: Simplifying Topology Extension in Federated Learning. SoCC 2023: 341-357 - Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Amplifying Object Tracking Performance on Edge Devices. CogMI 2023: 83-92 - Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang:
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops 2023: 5037-5045 - Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella:
Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops 2023: 3368-3375 - Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. ICCV 2023: 17391-17400 - Allen-Jasmin Farcas, Myungjin Lee, Ramana Rao Kompella, Hugo Latapie, Gustavo de Veciana, Radu Marculescu:
MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning. IoTDI 2023: 249-261 - B. Naga Malleswara Rao, P. V. Ramana, B. Akhila Meenakshi:
Predicting the Droughts Using Artificial Neural Networks - A Case Study. MIWAI 2023: 390-398 - Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang:
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS 2023 - Anees Al-Najjar, Nageswara S. V. Rao, Ramanan Sankaran, Helia Zandi, Debangshu Mukherjee, Maxim A. Ziatdinov, Craig Bridges:
Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems. SMARTCOMP 2023: 198-200
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