PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
Chen Hao 2023 An efficient neural representation for videos  Abhinav Shrivastava
Dooley Samuel William Atwell 2023 John Dickerson
Agrawal Sweta 2023 COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION  Marine Carpuat
Ganguly Kanishka 2023 A Framework For Dexterous Manipulation Through Tactile Perception  John Aloimonos
Maddali Hanuma Teja 2023 Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings  Amanda Lazar
Levine Alexander Jacob 2023 Scalable Methods for Robust Machine Learning  Soheil Feizi
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Maynord Michael 2023
Blum Erica 2023 RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS  Jonathan Katz
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Esmaeili Seyed Abdulaziz 2023 On Algorithms, Fairness, and Incentives  John Dickerson
Feng Yushan 2023 Amitabh Varshney
Hu Tao 2023 Dense 3D Reconstructions from Sparse Visual Data  Matthias Zwicker
Srinivasan Shravan 2023 Data Structures and Protocols for Scalability and Security of Distributed Consensus 
Katz Moshe Matanya 2023 Software-Defined Software  Ashok Agrawala
Singh Chahat Deep 2023
Nair Suraj Rajappan 2023 Effective and Efficient Search Across Languages  Doug Oard
Kaya Yigitcan 2023 The Limitations of Deep Learning Methods in Realistic Adversarial Settings  Tudor Dumitras
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Li Jingling 2023 Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models  John Dickerson
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Guria Sankha Narayan 2023 Program Synthesis with Lightweight Abstractions  Jeffrey Foster, David Van Horn
Saleh Mohammadabad Hamed 2023 Parallel Algorithms for Processing Massive Texts and Graphs  Mohammad Hajiaghayi
Guria Sankha Narayan 2023 Program Synthesis with Lightweight Abstractions  Jeffrey Foster, David Van Horn
Singla Sahil 2023 Reliable Deep Learning: a Robustness Perspective  Soheil Feizi
Rolinger Thomas Blaine 2023 Compiler Optimizations for Irregular Memory Access Patterns in the PGAS Programming Model  Alan Sussman
Sun Yanchao 2023 Towards Robust and Adaptable Real-World Reinforcement Learning  Furong Huang
Fulton Kelsey Rae 2023 Understanding and Improving Secure Development from a Human-Centered Perspective  Michelle Mazurek
Terry Jordan Kirby 2023 Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems  John Dickerson
Mittal Trisha 2023 Towards Multimodal and Context-Aware Emotion Perception  Dinesh Manocha
Xu Weijia 2023 Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation  Marine Carpuat
Tan Qingyang 2023 Learning-based Physics Simulation with Collision Handling  Dinesh Manocha
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
You Xuchen 2023 Optimization Problems in Quantum Machine Learning  Xiaodi Wu
Goel Pranav 2023 ANALYZING COMMUNICATIVE CHOICES TO UNDERSTAND THEIR MOTIVATIONS, CONTEXT-BASED VARIATION, AND SOCIAL CONSEQUENCES  Philip Resnik
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
Zhu Shaopeng 2023 Applications of Graph Theory and Logic in Computer Science  William GasarchWilliam Laskowski
Briakou Eleftheria 2023 DETECTING FINE-GRAINED SEMANTIC DIVERGENCES TO IMPROVE TRANSLATION UNDERSTANDING ACROSS LANGUAGES  Marine Carpuat
Liao Gang 2022 The Evolution of Cloud Data Architectures: Storage, Compute, and Migration  Daniel Abadi
Meshry Moustafa Mahmoud 2022 Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis  Abhinav Shrivastava, Larry Davis
Peskov Denis 2022 Gathering Natural Language Processing Data Using Experts  Jordan Boyd-Graber
Nguyen Khanh Xuan 2022 ENRICHING COMMUNICATION BETWEEN HUMANS AND AI AGENTS  Hal Daumé III
Tang Zhenyu 2022 Efficient Acoustic Simulation for Learning-based Virtual and Real-World Audio Processing  Dinesh Manocha
Suryan Varun 2022 Efficient Environment Sensing and Learning for Mobile Robots  Pratap Tokekar
Yadav Abhay Kumar 2022 IMPROVED TRAINING OF DEEP NETWORKS FOR COMPUTER VISION  David Jacobs
Sweet Ian Nicholas 2022 Language-Based Techniques for Secure Programming  Michael Hicks
Zhao Chen 2022 TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING  Jordan Boyd-Graber, Hal Daumé III
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava
Zhao Chen 2022 TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING  Jordan Boyd-Graber, Hal Daumé III
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava