US UMDComputer Science
Leads the GAMMA group on robot navigation, autonomous driving, audio and multimodal AI, and physically based simulation.
2026 Bi-VLM: Binary Post-Training Quantization for Vision-Language Models AAAI 2026 DIAGRAMS : A Review Framework for Reasoning-Level Attribution in Diagram QA ACL 125 T1185 papersGroup size not listed US UMDComputer Science
Develops machine learning, large-scale optimization and AI methods for biomedical data science and computational health.
2026 An Ensemble Framework for Unbiased Language ModelWatermarking ICLR 2026 Analyzing and Evaluating Unbiased Language Model Watermark ICLR 117 T1141 papersGroup size not listed US UMDComputer Science
Studies optimization and the reliability of deep learning, including adversarial robustness, watermarking of LLM outputs and diffusion models.
2026 DynaGuard: A Dynamic Guardian Model With User-Defined Policies ICLR 2026 FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition ICLR 62 T172 papers15 members23 alumniUS UMDComputer Science
Researches computer vision and machine learning, including video understanding, self-supervised learning and neural representations.
2026 Efficient and High-Fidelity Omni Modality Retrieval CVPR 2026 Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model ICLR 48 T170 papers10 members31 alumniUS UMDComputer Science
Leads the Reliable AI Lab, studying robustness, interpretability and detection of AI-generated content in deep learning models.
2026 GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs ICLR 2026 Revisiting the Past: Data Unlearning with Model State History ICLR 41 T159 papers12 members13 alumniUS UMDComputer Science
Researches physically based simulation, differentiable physics and multimodal interaction for graphics, robotics and autonomous driving.
2026 Accelerated Learning with Linear Temporal Logic using Differentiable Simulation ICLR 2026 Adaptive Conformal Guidance for Learning under Uncertainty ICLR 37 T144 papers9 members72 alumniUS UMDComputer Science
Studies active vision and robot perception, connecting visual perception, action and language for cognitive robots.
2026 Adversarial Game-Theoretic Algorithm for Dexterous Grasp Synthesis ICRA 2026 DREAM: Domain-aware Reasoning for Efficient Autonomous Underwater Monitoring ICRA 37 T162 papers20 members46 alumniUS UMDComputer Science
Researches natural language processing and machine learning with a focus on learning from interaction and fair, human-centered language technology.
2026 Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style ACL 2026 Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users CHI 36 T148 papers10 members18 alumniUS UMDComputer Science
Develops algorithms for multi-robot planning, active sensing and environmental monitoring with aerial and ground robots.
2026 Adaptive Conformal Guidance for Learning under Uncertainty ICLR 2026 Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning EMNLP 34 T148 papers5 members22 alumniUS UMDComputer Science
Studies question answering, human-computer cooperation in language tasks and topic models, including adversarial quiz-bowl evaluation of AI.
2026 BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks ACL 2026 Check The Scoreboard: An Analysis of Scoring Schemes on Multiple-Choice Evaluation EMNLP 27 T149 papers12 members43 alumniUS UMDComputer Science
Studies multisensory machine perception, learning from sight, sound and touch for embodied agents and audio-visual scene understanding.
2026 ControlTac: Scaling Tactile Data with Physically Controlled Tactile Image Generation CoRL 2026 Do Audio-Visual Large Language Models Really See and Hear? CVPR 26 T129 papers4 membersUS UMDComputer Science
Studies large language models for long-context understanding, long-form generation evaluation, factuality and literary translation.
2026 AI use in American newspapers is widespread, uneven, and rarely disclosed ACL 2026 Argument Collapse: LLMs Flatten Long-Form Public Debate EMNLP 25 T147 papers9 members13 alumniUS UMDElectrical and Computer Engineering
Studies speech acoustics, speech recognition and speech-based detection of mental health conditions.
2026 Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech ICASSP 2026 Articulatory Entrainment and Coordination Complexity in Spontaneous Autistic and Non-autistic Dialogue Interspeech 22 T137 papers6 members76 alumniUS UMDComputer Science
Develops computational imaging and sensing systems that combine optics with deep learning, such as imaging through scattering media.
2026 Guidestar-Free Adaptive Optics with Asymmetric Apertures TOG 2026 High-speed Imaging through Turbulence with Event-based Light Fields ECCV 20 T135 papers21 members8 alumniUS UMDComputer Science
Develops machine translation and multilingual NLP methods that help people communicate across languages, including interactive and trustworthy translation.
2026 Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style ACL 2026 Measuring User's Mental Models of Speech Translation in Human-AI Collaboration ACL 20 T140 papers6 members8 alumniUS UMDComputer Science
Studies natural language understanding, commonsense reasoning and social bias in language models.
2026 Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility ACL 2026 BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks ACL 18 T137 papers8 members3 alumniUS UMDComputer Science
Studies spatial audio, auditory scene analysis and fast multipole methods for scientific computing, with applications in perceptual interfaces.
2026 FIGMA: Towards FIne-Grained Music retrievAl ACL 2026 MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence AAAI 15 T125 papers22 members18 alumniUS UMDComputer Science
Han Shao Assistant Professor Studies learning theory, including robustness to strategic and adversarial behavior and incentives in collaborative learning.
2026 A Theoretical Framework for Statistical Evaluability of Generative Models ICML 2026 Incentives in Federated Learning with Heterogeneous Agents ICLR 14 T116 papers2 membersUS UMDComputer Science
Studies 3D computer vision and robot learning, including generative models for novel-view synthesis and manipulation.
2025 Self-Improving Autonomous Underwater Manipulation ICRA 2024 Controlling the World by Sleight of Hand ECCV 14 T114 papers3 membersUS UMDElectrical and Computer Engineering
Develops trustworthy machine learning using information theory, including fairness, explainability and counterfactual reasoning.
2026 Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards NeurIPS 2026 LogT: Logically Think with Images for Visual Search NeurIPS 14 T123 papers11 members1 alumnus