Ali Payani

According to our database, Ali Payani authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SketchQL: Video Moment Querying with a Visual Query Interface.

Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong

Proc. ACM Manag. Data, September, 2024

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.

Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong

Proc. VLDB Endow., August, 2024

Effective Guidance for Model Attention with Simple Yes-no Annotations.

Seongmin Lee, Ali Payani, Duen Horng Chau

CoRR, 2024

ProFL: Performative Robust Optimal Federated Learning.

Xue Zheng, Tian Xie, Xuwei Tan, Aylin Yener, Xueru Zhang, Ali Payani, Myungjin Lee

CoRR, 2024

Can Knowledge Editing Really Correct Hallucinations?

Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu

CoRR, 2024

Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model.

Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri

CoRR, 2024

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.

Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du

CoRR, 2024

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights.

Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy

CoRR, 2024

LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models.

Hossein Khalili, Seongbin Park, Vincent Li, Brandan Bright, Ali Payani, Ramana Rao Kompella, Nader Sehatbakhsh

CoRR, 2024

Enhancing Group Fairness in Federated Learning through Personalization.

Yifan Yang, Ali Payani, Parinaz Naghizadeh

CoRR, 2024

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization.

Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng

CoRR, 2024

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.

Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong

CoRR, 2024

Generalization Error Bounds for Learning under Censored Feedback.

Yifan Yang, Ali Payani, Parinaz Naghizadeh

CoRR, 2024

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study.

Gustav A. Baumgart, Jaemin Shin, Ali Payani, Myungjin Lee, Ramana Rao Kompella

CoRR, 2024

Prompt Mining for Language-based Human Mobility Forecasting.

Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim

CoRR, 2024

CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning.

Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu

Proceedings of the Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2024

Temporal Inductive Logic Reasoning over Hypergraphs.

Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization.

Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings.

Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Prompt Mining for Language Models-based Mobility Flow Forecasting.

Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Can LLMs Reason in the Wild with Programs?

Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Neural Additive Tensor Decomposition for Sparse Tensors.

Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.

Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation.

Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Large Language Models Can Learn Temporal Reasoning.

Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.

Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning.

Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning.

Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh

CoRR, 2023

Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.

Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu

CoRR, 2023

Eliminating Spurious Correlations from Pre-trained Models via Data Mixing.

Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman

CoRR, 2023

Mitigating Group Bias in Federated Learning: Beyond Local Fairness.

Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella

CoRR, 2023

LogicDP: Creating Labels for Graph Data via Inductive Logic Programming.

Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EVA: An End-to-End Exploratory Video Analytics System.

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

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

Classifying Functional Brain Graphs Using Graph Hypervector Representation.

Lulu Ge, Ali Payani, Hugo Latapie, Keshab K. Parhi

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Text-to-SQL Error Correction with Language Models of Code.

Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks.

Abdulrahman Alamoudi, Mingliu Liu, Ali Payani, Faramarz Fekri, Deshi Li

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Visual Question Answering based on Formal Logic.

Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Differentiable neural logic networks and their application onto inductive logic programming.

Ali Payani

PhD thesis, 2020

Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming.

Ali Payani, Faramarz Fekri

CoRR, 2020

2019

Inductive Logic Programming via Differentiable Deep Neural Logic Networks.

Ali Payani, Faramarz Fekri

CoRR, 2019

Learning Algorithms via Neural Logic Networks.

Ali Payani, Faramarz Fekri

CoRR, 2019

Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders.

Ali Payani, Faramarz Fekri

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition.

Ali Payani, Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed A. Mohandes

IEEE Signal Process. Mag., 2018

Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers.

Ali Payani, Faramarz Fekri

Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

2017

Learning dictionary for efficient signal compression.

Afshin Abdi, Ali Payani, Faramarz Fekri

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes.

Entao Liu, Ali Payani, Faramarz Fekri

Proceedings of the 2017 Data Compression Conference, 2017

2016

Near optimal representative subset selection from short sequences generated by a stationary source.

Ali Payani, Afshin Abdi, Faramarz Fekri

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016