Near optimal representative subset selection from short sequences generated by a stationary source. - Ali Payani; Afshin Abdi; Faramarz Fekri (SPAWC, 2016)

Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes. - Entao Liu; Ali Payani; Faramarz Fekri (DCC, 2017)

Learning dictionary for efficient signal compression. - Afshin Abdi; Ali Payani; Faramarz Fekri (ICASSP, 2017)

Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers. - Ali Payani; Faramarz Fekri (ISTC, 2018)

Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition. - Ali Payani; Afshin Abdi; Xin Tian 006; Faramarz Fekri; Mohamed A. Mohandes (IEEE Signal Process. Mag., 2018)

Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders. - Ali Payani; Faramarz Fekri (SPAWC, 2019)

Learning Algorithms via Neural Logic Networks. - Ali Payani; Faramarz Fekri (CoRR, 2019)

Inductive Logic Programming via Differentiable Deep Neural Logic Networks. - Ali Payani; Faramarz Fekri (CoRR, 2019)

Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming. - Ali Payani; Faramarz Fekri (CoRR, 2020)

Differentiable neural logic networks and their application onto inductive logic programming. - Ali Payani (2020)

Visual Question Answering based on Formal Logic. - Muralikrishnna G. Sethuraman; Ali Payani; Faramarz Fekri; J. Clayton Kerce (ICMLA, 2021)

Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks. - Abdulrahman Alamoudi; Mingliu Liu; Ali Payani; Faramarz Fekri; Deshi Li (WCNC, 2021)

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 001; Huan Sun 001 (ACL (2), 2023)

Classifying Functional Brain Graphs Using Graph Hypervector Representation. - Lulu Ge; Ali Payani; Hugo Latapie; Keshab K. Parhi (ACSSC, 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 002; Ishwarya Sivakumar; Aryan Rajoria; et al. (DEEM@SIGMOD, 2023)

LogicDP: Creating Labels for Graph Data via Inductive Logic Programming. - Yuan Yang; Faramarz Fekri; James Clayton Kerce; Ali Payani (ICLR, 2023)

Eliminating Spurious Correlations from Pre-trained Models via Data Mixing. - Yihao Xue; Ali Payani; Yu Yang 007; Baharan Mirzasoleiman (CoRR, 2023)

Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. - Yueqing Liang; Lu Cheng 001; Ali Payani; Kai Shu (CoRR, 2023)

Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. - Joshua Andle; Ali Payani; Salimeh Yasaei Sekeh (CoRR, 2023)

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. - Siheng Xiong; Yuan Yang; Ali Payani; James Clayton Kerce; Faramarz Fekri (AAAI, 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 001; Huan Sun 001 (ACL (1), 2024)

Large Language Models Can Learn Temporal Reasoning. - Siheng Xiong; Ali Payani; Ramana Kompella; Faramarz Fekri (ACL (1), 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 (ACL (1), 2024)

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. - Siddharth Joshi 004; Arnav Jain; Ali Payani; Baharan Mirzasoleiman (AISTATS, 2024)

Effective Guidance for Model Attention with Simple Yes-no Annotations. - Seongmin Lee 007; Ali Payani; Duen Horng (Polo) Chau (IEEE Big Data, 2024)

Neural Additive Tensor Decomposition for Sparse Tensors. - Dawon Ahn; Uday Singh Saini; Evangelos E. Papalexakis; Ali Payani (CIKM, 2024)

Can LLMs Reason in the Wild with Programs? - Yuan Yang; Siheng Xiong; Ali Payani; Ehsan Shareghi; Faramarz Fekri (EMNLP (Findings), 2024)

Prompt Mining for Language Models-based Mobility Flow Forecasting. - Hao Xue 001; Tianye Tang; Ali Payani; Flora D. Salim (SIGSPATIAL/GIS, 2024)

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings. - Yihao Xue; Ali Payani; Yu Yang 007; Baharan Mirzasoleiman (ICML, 2024)

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization. - Xinwen Zhang; Ali Payani; Myungjin Lee; Richard Souvenir; Hongchang Gao (ICML, 2024)

Temporal Inductive Logic Reasoning over Hypergraphs. - Yuan Yang; Siheng Xiong; Ali Payani; James Clayton Kerce; Faramarz Fekri (IJCAI, 2024)

CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. - Allen-Jasmin Farcas; Myungjin Lee; Ali Payani; Hugo Latapie; Ramana Rao Kompella; Radu Marculescu (IoTDI, 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 (MobiCom, 2024)

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems. - Bin Lei; Yi Zhang; Shan Zuo; Ali Payani; Caiwen Ding (NeurIPS, 2024)

Prompt Mining for Language-based Human Mobility Forecasting. - Hao Xue 001; Tianye Tang; Ali Payani; Flora D. Salim (CoRR, 2024)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study. - Gustav A. Baumgart; Jaemin Shin 005; Ali Payani; Myungjin Lee; Ramana Rao Kompella (CoRR, 2024)

Generalization Error Bounds for Learning under Censored Feedback. - Yifan Yang; Ali Payani; Parinaz Naghizadeh (CoRR, 2024)

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. - Qin Yang; Meisam Mohammady; Han Wang 021; Ali Payani; Ashish Kundu; Kai Shu; Yan Yan 002; Yuan Hong 001 (CoRR, 2024)

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. - Yuchi Liu; Jaskirat Singh; Gaowen Liu; Ali Payani; Liang Zheng 001 (CoRR, 2024)

Enhancing Group Fairness in Federated Learning through Personalization. - Yifan Yang; Ali Payani; Parinaz Naghizadeh (CoRR, 2024)

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. - Pranav Maneriker; Aditya Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model. - Siheng Xiong; Ali Payani; Yuan Yang; Faramarz Fekri (CoRR, 2024)

ProFL: Performative Robust Optimal Federated Learning. - Xue Zheng; Tian Xie; Xuwei Tan; Aylin Yener; Xueru Zhang; Ali Payani; Myungjin Lee (CoRR, 2024)

Mitigating Group Bias in Federated Learning: Beyond Local Fairness. - Ganghua Wang; Ali Payani; Myungjin Lee; Ramana Rao Kompella (Trans. Mach. Learn. Res., 2024)

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. - Renzhi Wu; Pramod Chunduri; Dristi J. Shah; Ashmitha Julius Aravind; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. VLDB Endow., 2024)

SketchQL: Video Moment Querying with a Visual Query Interface. - Renzhi Wu; Pramod Chunduri; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. ACM Manag. Data, 2024)

IFODHD: Improved Feature Selection Based Outlier Detection using Hyperdimensional Computing. - Wenrui Xu; Evan Krainess; Ali Payani; Hugo Latapie; Keshab K. Parhi (J. Signal Process. Syst., 2024)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ali Payani; Ninghao Liu; Mengnan Du (AAAI, 2025)

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity. - Dang Nguyen; Ali Payani; Baharan Mirzasoleiman (ACL (Findings), 2025)

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance. - Joseph J. Peper; Wenzhao Qiu; Ali Payani; Lu Wang 008 (ACL (Findings), 2025)

Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model. - Siheng Xiong; Ali Payani; Yuan Yang; Faramarz Fekri (ACL (1), 2025)

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. - Haiyan Zhao 003; Heng Zhao; Bo Shen; Ali Payani; Fan Yang 023; Mengnan Du (ICLR, 2025)

Can Knowledge Editing Really Correct Hallucinations? - Baixiang Huang; Canyu Chen; Xiongxiao Xu; Ali Payani; Kai Shu (ICLR, 2025)

A Generic Framework for Conformal Fairness. - Aditya T. Vadlamani; Anutam Srinivasan; Pranav Maneriker; Ali Payani; Srinivasan Parthasarathy 001 (ICLR, 2025)

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning. - Venkatesh Mishra; Bimsara Pathiraja; Mihir Parmar; Sat Chidananda; Jayanth Srinivasa; Gaowen Liu; Ali Payani; Chitta Baral (NAACL (Findings), 2025)

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. - Pranav Maneriker; Aditya T. Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (Trans. Mach. Learn. Res., 2025)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models. - Zirui He; Haiyan Zhao 003; Yiran Qiao 001; Fan Yang 023; Ali Payani; Jing Ma 002; Mengnan Du (CoRR, 2025)

Benchmarking LLMs for Political Science: A United Nations Perspective. - Yueqing Liang; Liangwei Yang; Chen Wang; Congying Xia; Rui Meng; Xiongxiao Xu; Haoran Wang 005; Ali Payani; Kai Shu (CoRR, 2025)

Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA. - Jie Hao; Yuman Wu; Ali Payani; Myungjin Lee; Mingrui Liu (CoRR, 2025)

Program Semantic Inequivalence Game with Large Language Models. - Antonio Valerio Miceli Barone; Vaishak Belle; Ali Payani (CoRR, 2025)

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction. - Bin Lei; Weitai Kang; Zijian Zhang; Winson Chen; Xi Xie; Shan Zuo; Mimi Xie; Ali Payani; Mingyi Hong 001; Yan Yan; Caiwen Ding (CoRR, 2025)

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models. - Zirui He; Mingyu Jin; Bo Shen; Ali Payani; Yongfeng Zhang; Mengnan Du (CoRR, 2025)

Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap. - Wenhan Yang; Spencer Stice; Ali Payani; Baharan Mirzasoleiman (CoRR, 2025)

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. - Yifei Li 005; Hanane Nour Moussa; Ziru Chen; Shijie Chen; Botao Yu; Mingyi Xue 001; Benjamin Burns; Tzu-Yao Chiu; Vishal Dey; Zitong Lu; Chen Wei; Qianheng Zhang; et al. (CoRR, 2025)

Command-V: Pasting LLM Behaviors via Activation Profiles. - Barry Wang; Avi Schwarzschild; Alexander Robey; Ali Payani; Charles Fleming; Mingjie Sun; Daphne Ippolito (CoRR, 2025)

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control. - Ruosen Li; Ziming Luo; Quan Zhang; Ruochen Li; Ben Zhou; Ali Payani; Xinya Du (CoRR, 2025)

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. - Baixiang Huang; Zhen Tan 001; Haoran Wang 005; Zijie Liu; Dawei Li 008; Ali Payani; Huan Liu 001; Tianlong Chen 001; Kai Shu (CoRR, 2025)

Effective Training Data Synthesis for Improving MLLM Chart Understanding. - Yuwei Yang; Zeyu Zhang; Yunzhong Hou; Zhuowan Li; Gaowen Liu; Ali Payani; Yuan-Sen Ting; Liang Zheng 001 (CoRR, 2025)