Kaveh Hassani

53 papers A* 7A 1B 1Journal 31Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
How to Make LMs Strong Node Classifiers?
EACL (Findings)
Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2026 — conf
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs.
EACL (Findings)
Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2026 J jnl
Multimodal Generative Recommendation for Fusing Semantic and Collaborative Signals.
CoRR
Moritz Vandenhirtz, Kaveh Hassani, Shervin Ghasemlou, Shuai Shao, Hamid Eghbalzadeh, Fuchun Peng, Jun Liu, Michael Louis Iuzzolino
2026 J jnl
Structure Enables Effective Self-Localization of Errors in LLMs.
CoRR
Ankur Samanta, Akshayaa Magesh, Ayush Jain, Kavosh Asadi, Youliang Yu, Daniel Jiang, Boris Vidolov, Kaveh Hassani, Paul Sajda, Jalaj Bhandari, Yonathan Efroni
2025 A conf
Billion-Scale Graph Deep Learning Framework for Ads Recommendation.
CIKM
Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Li, Sem Park, Bo Long
2025 — conf
Generating Long Semantic IDs in Parallel for Recommendation.
KDD (2)
Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025 J jnl
Generating Long Semantic IDs in Parallel for Recommendation.
CoRR
Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025 J jnl
Higher-order Structure Boosts Link Prediction on Temporal Graphs.
CoRR
Jingzhe Liu, Zhigang Hua, Yan Xie, Bingheng Li, Harry Shomer, Yu Song, Kaveh Hassani, Jiliang Tang
2025 J jnl
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs.
CoRR
Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025 J jnl
Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment.
CoRR
Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani
2025 A* conf
Learning Graph Quantized Tokenizers.
ICLR
Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2025 J jnl
Preference Discerning with LLM-Enhanced Generative Retrieval.
Trans. Mach. Learn. Res.
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
2025 B conf
Staleness-Based Subgraph Sampling for Training GNNs on Large-Scale Graphs.
IEEE Big Data
Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, Shuiwang Ji
2025 J jnl
Unifying Generative and Dense Retrieval for Sequential Recommendation.
Trans. Mach. Learn. Res.
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
2024 J jnl
Language Models are Graph Learners.
CoRR
Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2024 J jnl
Learning Graph Quantized Tokenizers for Transformers.
CoRR
Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2024 J jnl
Preference Discerning with LLM-Enhanced Generative Retrieval.
CoRR
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
2024 — conf
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
WWW (Companion Volume)
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
2024 J jnl
Unifying Generative and Dense Retrieval for Sequential Recommendation.
CoRR
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
2023 J jnl
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes.
CoRR
Ankur Samanta, Mark Karlov, Meghna Ravikumar, Christian McIntosh Clarke, Jayakumar Rajadas, Kaveh Hassani
2023 J jnl
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
CoRR
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
2022 A* conf
Cross-Domain Few-Shot Graph Classification.
AAAI
Kaveh Hassani
2022 J jnl
Cross-Domain Few-Shot Graph Classification.
CoRR
Kaveh Hassani
2022 A* conf
Evaluating Graph Generative Models with Contrastively Learned Features.
NeurIPS
Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland
2022 J jnl
Evaluating Graph Generative Models with Contrastively Learned Features.
CoRR
Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland
2022 J jnl
Learning Graph Augmentations to Learn Graph Representations.
CoRR
Kaveh Hassani, Amir Hosein Khas Ahmadi
2022 J jnl
Material Prediction for Design Automation Using Graph Representation Learning.
CoRR
Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
2021 J jnl
Classifying Component Function in Product Assemblies with Graph Neural Networks.
CoRR
Vincenzo Ferrero, Kaveh Hassani, Daniele Grandi, Bryony DuPont
2020 A* conf
Contrastive Multi-View Representation Learning on Graphs.
ICML
Kaveh Hassani, Amir Hosein Khas Ahmadi
2020 J jnl
Contrastive Multi-View Representation Learning on Graphs.
CoRR
Kaveh Hassani, Amir Hosein Khas Ahmadi
2020 A* conf
Memory-Based Graph Networks.
ICLR
Amir Hosein Khas Ahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris
2020 J jnl
Memory-Based Graph Networks.
CoRR
Amir Hosein Khas Ahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris
2020 J jnl
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing.
CoRR
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis
2019 J jnl
Relational Graph Representation Learning for Open-Domain Question Answering.
CoRR
Salvatore Vivona, Kaveh Hassani
2019 A* conf
Unsupervised Multi-Task Feature Learning on Point Clouds.
ICCV
Kaveh Hassani, Mike Haley
2019 J jnl
Unsupervised Multi-Task Feature Learning on Point Clouds.
CoRR
Kaveh Hassani, Mike Haley
2017 A* conf
Disambiguating Spatial Prepositions Using Deep Convolutional Networks.
AAAI
Kaveh Hassani, Won-Sook Lee
2017 — conf
Learning Physical Properties of Objects Using Gaussian Mixture Models.
Canadian AI
Kaveh Hassani, Won-Sook Lee
2016 J jnl
Design and implementation of an intelligent virtual environment for improving speaking and listening skills.
Interact. Learn. Environ.
Kaveh Hassani, Ali Nahvi, Ali Ahmadi
2016 J jnl
Multi-Objective Design of State Feedback Controllers Using Reinforced Quantum-Behaved Particle Swarm Optimization.
CoRR
Kaveh Hassani, Won-Sook Lee
2016 J jnl
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization.
Appl. Soft Comput.
Kaveh Hassani, Won-Sook Lee
2016 J jnl
Simulating collective intelligence of bio-inspired competing agents.
Expert Syst. Appl.
Aliakbar Asgari, Kaveh Hassani, Won-Sook Lee
2016 J jnl
Visualizing Natural Language Descriptions: A Survey.
CoRR
Kaveh Hassani, Won-Sook Lee
2016 J jnl
Visualizing Natural Language Descriptions: A Survey.
ACM Comput. Surv.
Kaveh Hassani, Won-Sook Lee
2015 — conf
A case study on collective intelligence based on energy flow.
EAIS
Kaveh Hassani, Aliakbar Asgari, Won-Sook Lee
2015 — conf
Adaptive animation generation using web content mining.
EAIS
Kaveh Hassani, Won-Sook Lee
2015 — conf
An experimental study on semi-invasive acupuncture-based EEG signal acquisition.
BCI
Kaveh Hassani, Won-Sook Lee
2014 — conf
An Intelligent Architecture for Autonomous Virtual Agents Inspired by Onboard Autonomy.
IEEE Conf. on Intelligent Systems (1)
Kaveh Hassani, Won-Sook Lee
2014 — conf
An incremental framework for classification of EEG signals using quantum particle swarm optimization.
CIVEMSA
Kaveh Hassani, Won-Sook Lee
2014 — conf
On designing migrating agents: from autonomous virtual agents to intelligent robotic systems.
SIGGRAPH ASIA Autonomous Virtual Humans and Social Robot for Telepresence
Kaveh Hassani, Won-Sook Lee
2013 — conf
A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment.
CIVEMSA
Kaveh Hassani, Won-Sook Lee
2013 — conf
An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data.
ICMLA (1)
Kaveh Hassani, Won-Sook Lee
2013 J jnl
Architectural design and implementation of intelligent embodied conversational agents using fuzzy knowledge base.
J. Intell. Fuzzy Syst.
Kaveh Hassani, Ali Nahvi, Ali Ahmadi