USUC BerkeleyElectrical Engineering and Computer Sciences
Develops deep reinforcement learning algorithms for decision making and control in robots.
- 2026Cliqueformer: Model-Based Optimization with Structured TransformersAAAI
- 2026Decoupled Q-ChunkingICLR
151 T1 · 164 papers · 23 members · 45 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Develops deep reinforcement learning, imitation learning and unsupervised learning methods for robot learning.
- Manipulation & robot learning
- Reinforcement learning
- 2026Cliqueformer: Model-Based Optimization with Structured TransformersAAAI
- 2026Contact-Aware Neural DynamicsCVPR
96 T1 · 105 papers · Group size not listed USUC BerkeleyElectrical Engineering and Computer Sciences
Develops visual recognition algorithms and multimodal vision-language models.
- Vision-language & multimodal
- Recognition, detection & segmentation
- Multimodal & grounded language
- 2026Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive GazingCVPR
- 2026Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual TokensECCV
92 T1 · 114 papers · 11 members · 13 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Builds cloud computing and AI systems, such as Ray, vLLM and Sky Computing.
- Distributed, cloud & edge systems
- 2026Agentix: An Efficient Serving Engine for LLM Agents as General ProgramsNSDI
- 2026BlendServe: Optimizing Offline Inference with Resource-Aware BatchingASPLOS
87 T1 · 103 papers · 19 members · 57 alumni USUC BerkeleyDepartment of Mechanical Engineering
Masayoshi TomizukaDistinguished Professor of Mechanical Engineering
Studies mechatronics, control and learning for autonomous driving and robot manipulation.
- Manipulation & robot learning
- Autonomous vehicles & drones
- Embodied & active vision
- 2026AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation FusionECCV
- 2026Adaptive Linear Path Model-Based DiffusionICRA
83 T1 · 124 papers · 13 members · 132 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Studies AI safety and security, agentic AI and decentralized technology.
- 2026A Hands-on Tutorial for Diffusion Language Models with dLLMKDD
- 2026AgentSynth: Scalable Task Generation for Generalist Computer-Use AgentsICLR
78 T1 · 112 papers · Group size not listed · 12 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Jason LeeAssociate Professor
Studies the theory of deep learning, representation learning and reinforcement learning.
- Reinforcement learning
- Learning theory & optimization
- 2026Coverage Improvement and Fast Convergence of On-policy Preference LearningICML
- 2026Improved high-dimensional estimation with Langevin dynamics and stochastic weight averagingICLR
75 T1 · 76 papers · 8 members · 12 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Studies computer vision and learning for embodied agents, including object recognition and robot locomotion.
- Embodied & active vision
- Recognition, detection & segmentation
- Legged locomotion & humanoids
- 2026D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous GraspingICLR
- 2026Deep Sensorimotor Control by Imitating Predictive Models of Human MotionICRA
59 T1 · 70 papers · 10 members · 83 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Studies 3D perception of people and animals from images and video, including neural radiance fields.
- 3D vision & neural rendering
- Video understanding
- Robot perception & SLAM
- 2026Finite Difference Flow Optimization for RL Post-Training of Text-to-Image ModelsECCV
- 2026Flow Matching Policy GradientsICLR
42 T1 · 46 papers · 11 members · 23 alumni USUC BerkeleyDepartment of Mechanical Engineering
Koushil SreenathProfessor of Mechanical Engineering
Studies dynamic legged locomotion and learning-based control for humanoid robots.
- Legged locomotion & humanoids
- Manipulation & robot learning
- 2026BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided DiffusionScience Robotics
- 2026CHyLL: Learning Continuous Neural Representations of Hybrid SystemsTMLR
42 T1 · 65 papers · 6 members · 50 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Works on speech processing and neural speech decoding, including assistive spoken language technologies and speech disorder diagnosis.
- Speech recognition & spoken language
- Affective & health speech
- Human-robot interaction & assistive robots
- 2026Benchmarking Single-Factor Physical Video-to-Audio GenerationCVPR
- 2026Evolutionary Strategies at Scale lead to Catastrophic ForgettingACL
40 T1 · 60 papers · 10 members · 10 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Works on AI alignment and human-robot interaction, learning from human feedback and modeling human decision-making.
- Human-robot interaction & assistive robots
- Reinforcement learning
- Trustworthy & safe ML
- 2025Adversaries Can Misuse Combinations of Safe ModelsICML
- 2025AssistanceZero: Scalably Solving Assistance GamesICML
35 T1 · 37 papers · 8 members · 42 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Builds data and AI systems, including Apache Spark, MLflow and ColBERT, and LLM programming frameworks like DSPy.
- Efficient training & inference
- 2026Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG PipelinesSIGIR
- 2026EXP-Bench: Can AI Conduct AI Research Experiments?ICLR
32 T1 · 67 papers · 15 members · 16 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Applies data-driven and self-supervised learning to computer vision and graphics using large unlabeled image collections.
- Generative & foundation models
- 2026Autoregressive Modeling of Film with Applications in Video MontageSIGGRAPH
- 2026Balancing Frequencies and Pixels in Flow MatchingNeurIPS
30 T1 · 30 papers · 6 members · 52 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Sewon MinAssistant Professor
Studies large language models, including retrieval-augmented and nonparametric language models.
- Large language models
- Knowledge, QA & retrieval
- 2026Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token ScaleNeurIPS
- 2026Constantly Improving Image Models Need Constantly Improving BenchmarksICLR
27 T1 · 37 papers · 4 members USUC BerkeleyElectrical Engineering and Computer Sciences
Develops perception, control and learning methods for agile aerial robots.
- Autonomous vehicles & drones
- Planning, control & multi-robot systems
- 2026Flying Together: Human-Guided Immersive Shared Control for Aerial Robot Teams in Unknown EnvironmentsICRA
- 2026Graph Neural Planning and Predictive Control for Multi-Robot Communication-Constrained Unlabeled Motion PlanningICRA
26 T1 · 55 papers · 9 members · 46 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Somayeh SojoudiAssociate Professor in Residence
Studies optimization and robustness of AI systems, with applications to power systems.
- Trustworthy & safe ML
- Learning theory & optimization
- 2026Agents’ Last ExamNeurIPS
- 2026Breaking the Reversal Curse in Autoregressive Language Models via Identity BridgeICML
26 T1 · 45 papers · 8 members · 13 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Builds data science tools such as Modin, Lux and DocETL, including LLM-powered data processing.
- Data management & big data
- 2026Bolt-on, Verifiable Provenance for LLM-Powered Data ProcessingVLDB
- 2026Featurized-Decomposition Join: Low-Cost Semantic Joins with GuaranteesVLDB
24 T1 · 36 papers · Group size not listed USUC BerkeleyElectrical Engineering and Computer Sciences
Studies statistical natural language processing, including parsing, grounded language and machine translation.
- Multilingual, translation & linguistics
- Multimodal & grounded language
- Learning theory & optimization
- 2025AutoPresent: Designing Structured Visuals from ScratchCVPR
- 2025Enough Coin Flips Can Make LLMs Act BayesianACL
21 T1 · 24 papers · 11 members · 34 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Builds systems that use language to interact with people and learn language through interaction.
- 2026DigitalCoach: Communication and grounding gaps in human and agentic computer use coaching.EMNLP
- 2026Long chain-of-thought reasoning across languages.ICLR
20 T1 · 26 papers · Group size not listed