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2020 – today
- 2024
[j3]Renzhi Wu
, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL: Video Moment Querying with a Visual Query Interface. Proc. ACM Manag. Data 2(4): 204:1-204:27 (2024)- [j2]Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. Proc. VLDB Endow. 17(12): 4429-4432 (2024) - [c21]Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri:
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. AAAI 2024: 16112-16119 - [c20]Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri:
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation. ACL (1) 2024: 6942-6959 - [c19]Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri:
Large Language Models Can Learn Temporal Reasoning. ACL (1) 2024: 10452-10470 - [c18]Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun:
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. ACL (1) 2024: 13659-13678 - [c17]Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman:
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. AISTATS 2024: 1000-1008 - [c16]Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani:
Neural Additive Tensor Decomposition for Sparse Tensors. CIKM 2024: 14-23 - [c15]Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman:
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings. ICML 2024 - [c14]Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao:
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization. ICML 2024 - [c13]Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri:
Temporal Inductive Logic Reasoning over Hypergraphs. IJCAI 2024: 3613-3621 - [c12]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 - [i26]Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri:
Large Language Models Can Learn Temporal Reasoning. CoRR abs/2401.06853 (2024) - [i25]Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun:
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. CoRR abs/2402.10890 (2024) - [i24]Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim:
Prompt Mining for Language-based Human Mobility Forecasting. CoRR abs/2403.03544 (2024) - [i23]Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman:
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. CoRR abs/2403.12267 (2024) - [i22]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) - [i21]Yifan Yang, Ali Payani, Parinaz Naghizadeh:
Generalization Error Bounds for Learning under Censored Feedback. CoRR abs/2404.09247 (2024) - [i20]Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR abs/2405.18334 (2024) - [i19]Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong:
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. CoRR abs/2405.18776 (2024) - [i18]Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng:
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. CoRR abs/2405.20252 (2024) - [i17]Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri:
Can LLMs Reason in the Wild with Programs? CoRR abs/2406.13764 (2024) - [i16]Yifan Yang, Ali Payani, Parinaz Naghizadeh:
Enhancing Group Fairness in Federated Learning through Personalization. CoRR abs/2407.19331 (2024) - [i15]Hossein Khalili, Seongbin Park, Vincent Li, Brandan Bright, Ali Payani, Ramana Rao Kompella, Nader Sehatbakhsh:
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models. CoRR abs/2409.00340 (2024) - [i14]Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy:
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. CoRR abs/2409.18332 (2024) - [i13]Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du:
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. CoRR abs/2410.00153 (2024) - [i12]Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri:
Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model. CoRR abs/2410.03136 (2024) - 2023
- [c11]Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun:
Text-to-SQL Error Correction with Language Models of Code. ACL (2) 2023: 1359-1372 - [c10]Lulu Ge, Ali Payani, Hugo Latapie, Keshab K. Parhi:
Classifying Functional Brain Graphs Using Graph Hypervector Representation. ACSSC 2023: 275-279 - [c9]Gaurav Tarlok Kakkar, Jiashen Cao, Pramod Chunduri, Zhuangdi Xu, Suryatej Reddy Vyalla, Prashanth Dintyala, Anirudh Prabakaran, Jaeho Bang, Aubhro Sengupta, Kaushik Ravichandran, Ishwarya Sivakumar, Aryan Rajoria, Ashmita Raju, Tushar Aggarwal, Abdullah Shah, Sanjana Garg, Shashank Suman, Myna Prasanna Kalluraya, Subrata Mitra, Ali Payani, Yao Lu, Umakishore Ramachandran, Joy Arulraj:
EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD 2023: 8:1-8:5 - [c8]Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani:
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming. ICLR 2023 - [i11]Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella:
Mitigating Group Bias in Federated Learning: Beyond Local Fairness. CoRR abs/2305.09931 (2023) - [i10]Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun:
Text-to-SQL Error Correction with Language Models of Code. CoRR abs/2305.13073 (2023) - [i9]Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman:
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing. CoRR abs/2305.14521 (2023) - [i8]Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri:
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation. CoRR abs/2305.15541 (2023) - [i7]Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu:
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. CoRR abs/2311.09428 (2023) - [i6]Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh:
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. CoRR abs/2311.09506 (2023) - [i5]Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri:
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. CoRR abs/2312.15816 (2023) - 2021
- [c7]Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. ICMLA 2021: 952-957 - [c6]Abdulrahman Alamoudi, Mingliu Liu, Ali Payani, Faramarz Fekri, Deshi Li:
Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks. WCNC 2021: 1-6 - [i4]Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. CoRR abs/2111.04785 (2021) - 2020
- [b1]Ali Payani:
Differentiable neural logic networks and their application onto inductive logic programming. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [i3]Ali Payani, Faramarz Fekri:
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming. CoRR abs/2003.10386 (2020)
2010 – 2019
- 2019
- [c5]Ali Payani, Faramarz Fekri:
Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders. SPAWC 2019: 1-5 - [i2]Ali Payani, Faramarz Fekri:
Learning Algorithms via Neural Logic Networks. CoRR abs/1904.01554 (2019) - [i1]Ali Payani, Faramarz Fekri:
Inductive Logic Programming via Differentiable Deep Neural Logic Networks. CoRR abs/1906.03523 (2019) - 2018
- [j1]Ali Payani, Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed A. Mohandes:
Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition. IEEE Signal Process. Mag. 35(2): 51-61 (2018) - [c4]Ali Payani, Faramarz Fekri:
Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers. ISTC 2018: 1-5 - 2017
- [c3]Entao Liu, Ali Payani, Faramarz Fekri:
Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes. DCC 2017: 449 - [c2]Afshin Abdi, Ali Payani, Faramarz Fekri:
Learning dictionary for efficient signal compression. ICASSP 2017: 3689-3693 - 2016
- [c1]Ali Payani, Afshin Abdi, Faramarz Fekri:
Near optimal representative subset selection from short sequences generated by a stationary source. SPAWC 2016: 1-5
Coauthor Index
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last updated on 2024-11-14 21:01 CET by the dblp team
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