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Kaveh Hassani
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2020 – today
- 2024
- [c16]Wei Wen
, Kuang-Hung Liu
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) 2024: 73-82 - [i17]Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong:
Language Models are Graph Learners. CoRR abs/2410.02296 (2024) - [i16]Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long:
Learning Graph Quantized Tokenizers for Transformers. CoRR abs/2410.13798 (2024) - [i15]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:
Unifying Generative and Dense Retrieval for Sequential Recommendation. CoRR abs/2411.18814 (2024) - 2023
- [i14]Ankur Samanta, Mark Karlov, Meghna Ravikumar, Christian McIntosh Clarke, Jayakumar Rajadas, Kaveh Hassani:
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes. CoRR abs/2302.11021 (2023) - [i13]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:
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR abs/2311.08430 (2023) - 2022
- [c15]Kaveh Hassani:
Cross-Domain Few-Shot Graph Classification. AAAI 2022: 6856-6864 - [c14]Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland:
Evaluating Graph Generative Models with Contrastively Learned Features. NeurIPS 2022 - [i12]Kaveh Hassani:
Cross-Domain Few-Shot Graph Classification. CoRR abs/2201.08265 (2022) - [i11]Kaveh Hassani, Amir Hosein Khas Ahmadi:
Learning Graph Augmentations to Learn Graph Representations. CoRR abs/2201.09830 (2022) - [i10]Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland:
Evaluating Graph Generative Models with Contrastively Learned Features. CoRR abs/2206.06234 (2022) - [i9]Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li:
Material Prediction for Design Automation Using Graph Representation Learning. CoRR abs/2209.12793 (2022) - 2021
- [i8]Vincenzo Ferrero, Kaveh Hassani, Daniele Grandi, Bryony DuPont:
Classifying Component Function in Product Assemblies with Graph Neural Networks. CoRR abs/2107.07042 (2021) - 2020
- [c13]Amir Hosein Khas Ahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris:
Memory-Based Graph Networks. ICLR 2020 - [c12]Kaveh Hassani, Amir Hosein Khas Ahmadi:
Contrastive Multi-View Representation Learning on Graphs. ICML 2020: 4116-4126 - [i7]Amir Hosein Khas Ahmadi, Kaveh Hassani
Memory-Based Graph Networks. CoRR abs/2002.09518 (2020) - [i6]Kaveh Hassani, Amir Hosein Khas Ahmadi:
Contrastive Multi-View Representation Learning on Graphs. CoRR abs/2006.05582 (2020) - [i5]Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis:
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. CoRR abs/2007.04525 (2020)
2010 – 2019
- 2019
- [c11]Kaveh Hassani, Mike Haley:
Unsupervised Multi-Task Feature Learning on Point Clouds. ICCV 2019: 8159-8170 - [i4]Kaveh Hassani
Unsupervised Multi-Task Feature Learning on Point Clouds. CoRR abs/1910.08207 (2019) - [i3]Salvatore Vivona, Kaveh Hassani
Relational Graph Representation Learning for Open-Domain Question Answering. CoRR abs/1910.08249 (2019) - 2017
- [c10]Kaveh Hassani, Won-Sook Lee:
Disambiguating Spatial Prepositions Using Deep Convolutional Networks. AAAI 2017: 3209-3215 - [c9]Kaveh Hassani, Won-Sook Lee:
Learning Physical Properties of Objects Using Gaussian Mixture Models. Canadian AI 2017: 179-190 - 2016
- [j5]Kaveh Hassani, Won-Sook Lee:
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization. Appl. Soft Comput. 41: 66-76 (2016) - [j4]Kaveh Hassani, Won-Sook Lee:
Visualizing Natural Language Descriptions: A Survey. ACM Comput. Surv. 49(1): 17:1-17:34 (2016) - [j3]Aliakbar Asgari, Kaveh Hassani, Won-Sook Lee:
Simulating collective intelligence of bio-inspired competing agents. Expert Syst. Appl. 56: 256-267 (2016) - [j2]Kaveh Hassani, Ali Nahvi, Ali Ahmadi
Design and implementation of an intelligent virtual environment for improving speaking and listening skills. Interact. Learn. Environ. 24(1): 252-271 (2016) - [i2]Kaveh Hassani
Visualizing Natural Language Descriptions: A Survey. CoRR abs/1607.00623 (2016) - [i1]Kaveh Hassani
Multi-Objective Design of State Feedback Controllers Using Reinforced Quantum-Behaved Particle Swarm Optimization. CoRR abs/1607.00765 (2016) - 2015
- [c8]Kaveh Hassani, Won-Sook Lee:
An experimental study on semi-invasive acupuncture-based EEG signal acquisition. BCI 2015: 1-4 - [c7]Kaveh Hassani, Aliakbar Asgari, Won-Sook Lee:
A case study on collective intelligence based on energy flow. EAIS 2015: 1-7 - [c6]Kaveh Hassani, Won-Sook Lee:
Adaptive animation generation using web content mining. EAIS 2015: 1-8 - 2014
- [c5]Kaveh Hassani, Won-Sook Lee:
An incremental framework for classification of EEG signals using quantum particle swarm optimization. CIVEMSA 2014: 40-45 - [c4]Kaveh Hassani, Won-Sook Lee:
An Intelligent Architecture for Autonomous Virtual Agents Inspired by Onboard Autonomy. IEEE Conf. on Intelligent Systems (1) 2014: 391-402 - [c3]Kaveh Hassani, Won-Sook Lee:
On designing migrating agents: from autonomous virtual agents to intelligent robotic systems. SIGGRAPH ASIA Autonomous Virtual Humans and Social Robot for Telepresence 2014: 7:1-7:10 - 2013
- [j1]Kaveh Hassani, Ali Nahvi, Ali Ahmadi
Architectural design and implementation of intelligent embodied conversational agents using fuzzy knowledge base. J. Intell. Fuzzy Syst. 25(3): 811-823 (2013) - [c2]Kaveh Hassani, Won-Sook Lee:
A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment. CIVEMSA 2013: 31-36 - [c1]Kaveh Hassani, Won-Sook Lee:
An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data. ICMLA (1) 2013: 430-435
Coauthor Index
aka: Won-Sook Lee
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