Kaveh Hassani

According to our database, Kaveh Hassani authored at least 36 papers between 2013 and 2025.

Collaborative distances:

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

2025

Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment.

Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani

CoRR, September, 2025

Higher-order Structure Boosts Link Prediction on Temporal Graphs.

Jingzhe Liu, Zhigang Hua, Yan Xie, Bingheng Li, Harry Shomer, Yu Song, Kaveh Hassani, Jiliang Tang

CoRR, May, 2025

Preference Discerning with LLM-Enhanced Generative Retrieval.

Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky T. Q. Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh

Trans. Mach. Learn. Res., 2025

Unifying Generative and Dense Retrieval for Sequential Recommendation.

Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh

Trans. Mach. Learn. Res., 2025

Generating Long Semantic IDs in Parallel for Recommendation.

Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Learning Graph Quantized Tokenizers.

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Preference Discerning with LLM-Enhanced Generative Retrieval.

Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xialo Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh

CoRR, 2024

Learning Graph Quantized Tokenizers for Transformers.

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

CoRR, 2024

Language Models are Graph Learners.

Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong

CoRR, 2024

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.

Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes.

Ankur Samanta, Mark Karlov, Meghna Ravikumar, Christian McIntosh Clarke, Jayakumar Rajadas, Kaveh Hassani

CoRR, 2023

2022

Material Prediction for Design Automation Using Graph Representation Learning.

Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li

CoRR, 2022

Learning Graph Augmentations to Learn Graph Representations.

Kaveh Hassani, Amir Hosein Khas Ahmadi

CoRR, 2022

Evaluating Graph Generative Models with Contrastively Learned Features.

Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross-Domain Few-Shot Graph Classification.

Kaveh Hassani

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Classifying Component Function in Product Assemblies with Graph Neural Networks.

Vincenzo Ferrero, Kaveh Hassani, Daniele Grandi, Bryony DuPont

CoRR, 2021

2020

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing.

Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis

CoRR, 2020

Contrastive Multi-View Representation Learning on Graphs.

Kaveh Hassani, Amir Hosein Khas Ahmadi

Proceedings of the 37th International Conference on Machine Learning, 2020

Memory-Based Graph Networks.

Amir Hosein Khas Ahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Relational Graph Representation Learning for Open-Domain Question Answering.

Salvatore Vivona, Kaveh Hassani

CoRR, 2019

Unsupervised Multi-Task Feature Learning on Point Clouds.

Kaveh Hassani, Mike Haley

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Learning Physical Properties of Objects Using Gaussian Mixture Models.

Kaveh Hassani, Won-Sook Lee

Proceedings of the Advances in Artificial Intelligence, 2017

Disambiguating Spatial Prepositions Using Deep Convolutional Networks.

Kaveh Hassani, Won-Sook Lee

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Design and implementation of an intelligent virtual environment for improving speaking and listening skills.

Kaveh Hassani, Ali Nahvi, Ali Ahmadi

Interact. Learn. Environ., 2016

Simulating collective intelligence of bio-inspired competing agents.

Aliakbar Asgari, Kaveh Hassani, Won-Sook Lee

Expert Syst. Appl., 2016

Visualizing Natural Language Descriptions: A Survey.

Kaveh Hassani, Won-Sook Lee

ACM Comput. Surv., 2016

Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization.

Kaveh Hassani, Won-Sook Lee

Appl. Soft Comput., 2016

2015

Adaptive animation generation using web content mining.

Kaveh Hassani, Won-Sook Lee

Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

A case study on collective intelligence based on energy flow.

Kaveh Hassani, Aliakbar Asgari, Won-Sook Lee

Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

An experimental study on semi-invasive acupuncture-based EEG signal acquisition.

Kaveh Hassani, Won-Sook Lee

Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015

2014

On designing migrating agents: from autonomous virtual agents to intelligent robotic systems.

Kaveh Hassani, Won-Sook Lee

Proceedings of the SIGGRAPH Asia 2014 Autonomous Virtual Humans and Social Robot for Telepresence, 2014

An Intelligent Architecture for Autonomous Virtual Agents Inspired by Onboard Autonomy.

Kaveh Hassani, Won-Sook Lee

Proceedings of the Intelligent Systems'2014, 2014

An incremental framework for classification of EEG signals using quantum particle swarm optimization.

Kaveh Hassani, Won-Sook Lee

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2014

2013

Architectural design and implementation of intelligent embodied conversational agents using fuzzy knowledge base.

Kaveh Hassani, Ali Nahvi, Ali Ahmadi

J. Intell. Fuzzy Syst., 2013

An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data.

Kaveh Hassani, Won-Sook Lee

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment.

Kaveh Hassani, Won-Sook Lee

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2013