US UCLAComputer Science Dec 15
Develops natural language processing and machine learning methods, including vision-language models, robustness and fairness of language models.
2026 ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System ACL 2026 ContextNav: Towards Agentic Multimodal In-Context Learning ICLR 104 T1152 papers12 members46 alumniUS UCLAComputer Science Dec 15
Researches controllable and creative language generation, multimodal language models and evaluation of language model reasoning.
2026 ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping ICLR 2026 Decoupling Task-Solving and Output Formatting in LLM Generation ACL 87 T1136 papers9 members35 alumniUS UCLAComputer Science Dec 15
Develops nonconvex optimization and learning theory, and alignment and reasoning methods for large language models.
2026 Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling ICLR 2026 Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set ICLR 73 T191 papers9 members60 alumniUS UCLAComputer Science Dec 15
Studies scalable optimization, adversarial robustness and verification of neural networks, and efficient training of large models.
2025 Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models NeurIPS 2025 Is Your Multimodal Language Model Oversensitive to Safe Queries? ICLR 50 T161 papers13 members18 alumniUS UCLAComputer Science Dec 15
Directs the StarAI lab on probabilistic circuits, tractable probabilistic reasoning and neurosymbolic learning.
2026 Breaking the Factorization Barrier in Diffusion Language Models ICML 2026 CoTs as Probabilistic Programs: A Programmatic View of Thinking Step-by-Step in Language Models NeurIPS 49 T170 papers7 members23 alumniUS UCLAComputer Science Dec 15
Directs the Vision and Autonomy Intelligence Lab on interpretable computer vision, generative models and simulation for robot learning and driving.
2026 AnimaMimic: Imitating 3D Animation from Video Priors CVPR 2026 AURA: Multi-modal Shared Autonomy for Urban Navigation CVPR 47 T162 papers9 members16 alumniUS UCLAComputer Science Dec 15
Researches computer vision and machine learning, including visual representation learning, 3D reconstruction and foundation models.
2026 Conjuring Semantic Similarity ICLR 2026 Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression CVPR 42 T151 papersGroup size not listed US UCLAComputer Science Dec 15
Develops graph neural networks, knowledge graph reasoning and network mining, with applications to science and chip design.
2026 ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning ICML 2026 Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data ICLR 42 T1102 papers12 members18 alumniUS UCLAComputer Science Dec 15
Develops data mining and machine learning methods for biomedical and scientific data, including knowledge graphs and language models for medicine and chemistry.
2025 Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation WSDM 2025 Designing metamaterials with programmable nonlinear responses and geometric constraints in graph space Nature Machine Intelligence 38 T156 papers15 members31 alumniUS UCLAComputer Science Dec 15
Leads the MINT group on probabilistic and generative models for representation learning and sequential decision making, with uses in climate and science.
2026 Honeybee: Data recipes for vision-language reasoners CVPR 2026 Inpainting-Guided Policy Optimization for Diffusion Large Language Models ICLR 36 T139 papers6 members13 alumniUS UCLAComputer Science Dec 15
Leads the BigML group on data-efficient and robust machine learning through data selection and coreset methods.
2026 Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories ICML 2026 Do We Need All the Synthetic Data? Targeted Synthetic Image Augmentation via Diffusion Models ICLR 32 T138 papers9 members2 alumniUS UCLAElectrical and Computer Engineering Dec 15
Lin Yang Associate Professor Develops provable algorithms for reinforcement learning, LLM acceleration and quantization, and non-convex optimization.
2026 ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization ICLR 2026 Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs ICLR 27 T137 papers3 members6 alumniUS UCLADepartment of Statistics and Data Science Dec 15
Directs the Trustworthy AI Lab on generative data science, including synthetic tabular data for privacy-preserving data sharing.
2026 ``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood ICLR 2026 Alignment of Diffusion Model and Flow Matching for Text- to-Image Generation TMLR 26 T151 papers14 members20 alumniUS UCLAElectrical and Computer Engineering Dec 15
Leads the Visual Machines Group on computer vision, computational imaging and spatial intelligence.
2026 MoCA3D: Monocular 3D Bounding Box Prediction in the Image Plane ECCV 2026 SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning CVPR 19 T123 papers4 members19 alumniUS UCLAElectrical and Computer Engineering Dec 15
Develops deep-learning-enabled computational microscopy and diffractive optical networks for optical computing and mobile health sensing.
2026 Lying mirror using structured surfaces Nature Communications 2026 “Structural Vibration Monitoring with Diffractive Optical Processors ” Science Advances (AAAS) DOI: 10.1126/sciadv.aea1712 19 T1105 papersGroup size not listed US UCLAElectrical and Computer Engineering Dec 15
Leads the Networked and Embedded Systems Laboratory on AI-enabled embedded sensing, mobile health and human-cyber-physical systems.
2026 CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles ICRA 2026 SWAN: World-Aware Adaptive Multimodal Networks for Runtime Variations ECCV 17 T153 papers4 membersUS UCLAElectrical and Computer Engineering Dec 15
Builds brain-computer interfaces, AI copilots and robot learning systems, and uses deep learning to study cortical computation.
2026 DiSCo: Diffusion Sequence Copilots for Shared Autonomy HRI 2026 Flow Control: Steering Vision–Language–Action Models with Simple Real-Time Inputs CoRL 16 T123 papers12 members30 alumniUS UCLADepartment of Computational Medicine Dec 15
Directs the Health Intelligence Lab on machine learning for health, including AI biomarkers from wearable sensors.
2026 GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring NeurIPS 2026 HEARTS: Benchmarking LLM Reasoning on Health Time Series ICML 16 T123 papers9 members6 alumniUS UCLAElectrical and Computer Engineering Dec 15
Abeer Alwan Distinguished Professor Leads the Speech Processing and Auditory Perception Laboratory on noise-robust speech recognition and models of speech production and perception.
2026 Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASR Interspeech 2026 GC-LoRA: Gated Convolutional LoRA for Parameter-Efficient Acoustic Adaptation Interspeech 13 T143 papers6 members71 alumniUS UCLACivil and Environmental Engineering Dec 15
Leads the UCLA Mobility Lab on automated driving, cooperative perception and multi-agent decision making, and mobility digital twins.
2026 nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving NeurIPS 2026 GPS-Enhanced Tourist Mobility Modeling with Seasonal Spatial Priors and LLM-Based Activity Chain Generation ITSC 13 T143 papers11 members18 alumni