A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment. - Kaveh Hassani; Won-Sook Lee (CIVEMSA, 2013)

An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data. - Kaveh Hassani; Won-Sook Lee (ICMLA (1), 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 framework for classification of EEG signals using quantum particle swarm optimization. - Kaveh Hassani; Won-Sook Lee (CIVEMSA, 2014)

An Intelligent Architecture for Autonomous Virtual Agents Inspired by Onboard Autonomy. - Kaveh Hassani; Won-Sook Lee (IEEE Conf. on Intelligent Systems (1), 2014)

On designing migrating agents: from autonomous virtual agents to intelligent robotic systems. - Kaveh Hassani; Won-Sook Lee (SIGGRAPH ASIA Autonomous Virtual Humans and Social Robot for Telepresence, 2014)

An experimental study on semi-invasive acupuncture-based EEG signal acquisition. - Kaveh Hassani; Won-Sook Lee (BCI, 2015)

A case study on collective intelligence based on energy flow. - Kaveh Hassani; Aliakbar Asgari; Won-Sook Lee (EAIS, 2015)

Adaptive animation generation using web content mining. - Kaveh Hassani; Won-Sook Lee (EAIS, 2015)

Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization. - Kaveh Hassani; Won-Sook Lee (Appl. Soft Comput., 2016)

Visualizing Natural Language Descriptions: A Survey. - Kaveh Hassani; Won-Sook Lee (ACM Comput. Surv., 2016)

Simulating collective intelligence of bio-inspired competing agents. - Aliakbar Asgari; Kaveh Hassani; Won-Sook Lee (Expert Syst. Appl., 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)

Disambiguating Spatial Prepositions Using Deep Convolutional Networks. - Kaveh Hassani; Won-Sook Lee (AAAI, 2017)

Learning Physical Properties of Objects Using Gaussian Mixture Models. - Kaveh Hassani; Won-Sook Lee (Canadian AI, 2017)

Unsupervised Multi-Task Feature Learning on Point Clouds. - Kaveh Hassani; Mike Haley (ICCV, 2019)

Relational Graph Representation Learning for Open-Domain Question Answering. - Salvatore Vivona; Kaveh Hassani (CoRR, 2019)

Memory-Based Graph Networks. - Amir Hosein Khas Ahmadi; Kaveh Hassani; Parsa Moradi; Leo Lee; Quaid Morris (ICLR, 2020)

Contrastive Multi-View Representation Learning on Graphs. - Kaveh Hassani; Amir Hosein Khas Ahmadi (ICML, 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)

Classifying Component Function in Product Assemblies with Graph Neural Networks. - Vincenzo Ferrero; Kaveh Hassani; Daniele Grandi; Bryony DuPont (CoRR, 2021)

Cross-Domain Few-Shot Graph Classification. - Kaveh Hassani (AAAI, 2022)

Evaluating Graph Generative Models with Contrastively Learned Features. - Hamed Shirzad; Kaveh Hassani; Danica J. Sutherland (NeurIPS, 2022)

Learning Graph Augmentations to Learn Graph Representations. - Kaveh Hassani; Amir Hosein Khas Ahmadi (CoRR, 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)

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)

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. - Wei Wen; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Hang Yin 005; Weiwei Chu; Kaveh Hassani; Mengying Sun; Jiang Liu 011; Xu Wang; Lin Jiang; Yuxin Chen 001; et al. (WWW (Companion Volume), 2024)

Language Models are Graph Learners. - Zhe Xu 007; Kaveh Hassani; Si Zhang; Hanqing Zeng; Michihiro Yasunaga; Limei Wang; Dongqi Fu; Ning Yao; Bo Long; Hanghang Tong (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)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky Chen; Zhang Gabriel Li; Xialo Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (CoRR, 2024)

Learning Graph Quantized Tokenizers. - Limei Wang; Kaveh Hassani; Si Zhang; Dongqi Fu; Baichuan Yuan; Weilin Cong; Zhigang Hua; Hao Wu; Ning Yao; Bo Long (ICLR, 2025)

Unifying Generative and Dense Retrieval for Sequential Recommendation. - Liu Yang 001; Fabian Paischer; Kaveh Hassani; Jiacheng Li; Shuai Shao; Zhang Gabriel Li; Yun He; Xue Feng; Nima Noorshams; Sem Park; Bo Long; Robert D. Nowak; et al. (Trans. Mach. Learn. Res., 2025)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky T. Q. Chen; Zhang Gabriel Li; Xiaoli Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (Trans. Mach. Learn. Res., 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, 2025)

Generating Long Semantic IDs in Parallel for Recommendation. - Yupeng Hou; Jiacheng Li 003; Ashley Shin; Jinsung Jeon; Abhishek Santhanam; Wei Shao; Kaveh Hassani; Ning Yao; Julian J. McAuley (CoRR, 2025)