US UCSDComputer Science and Engineering Dec 15
Builds recommender systems and models of user behavior and opinions from large online review and social data.
2026 A zero-weight personalized recommender system for scalable news recommendation SIGIR 2026 Auto-dreamer: learning offline memory consolidation for language agents NeurIPS 85 T1129 papers18 members25 alumniUS UCSDElectrical and Computer Engineering Dec 15
Studies self-supervised visual learning, video understanding and embodied AI for robot manipulation.
2026 3D Aware Region Prompted Vision Language Model ICLR 2026 Cross-embodied Co-design for Dexterous Hands ICLR 78 T182 papers9 members73 alumniUS UCSDComputer Science and Engineering Dec 15
Mines structured knowledge from large text corpora with minimal supervision, including weakly supervised text classification and LLM-based information…
2026 AMPS: Adaptive Modality Preference Steering via Functional Entropy NeurIPS 2026 AutoCode: LLMs as Problem Setters for Competitive Programming ICLR 59 T1110 papersGroup size not listed US UCSDComputer Science and Engineering Dec 15
Works on rendering and visual computing, including neural radiance fields, light transport and appearance capture.
2026 8DNA: 8D Neural Asset Light Transport by Distribution Learning SIGGRAPH 2026 A Generalizable Light Transport 3D Embedding for Global Illumination SIGGRAPH 49 T164 papers9 members44 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Designs efficient machine learning algorithms with provable guarantees, including differential privacy, reinforcement learning and watermarking of generative…
2026 A second-order regret bound for NormalHedge NeurIPS 2026 ConvexBench: Can LLMs Recognize Convex Functions? ICML 46 T167 papers6 members17 alumniUS UCSDElectrical and Computer Engineering Dec 15
Develops robot learning, planning and autonomous surgical robotics.
2026 In vivo feasibility study of humanoid robots in surgery Nature 2026 Real-time Rendering-based Surgical Instrument Tracking via Evolutionary Optimization IROS 45 T161 papers13 members35 alumniUS UCSDComputer Science and Engineering Dec 15
Builds programming systems and GPU-optimized libraries, with work on compilers for machine learning and quantum computing.
2026 AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving MICRO 2026 AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers NeurIPS 44 T155 papers12 members15 alumniUS UCSDComputer Science and Engineering Dec 15
Develops machine learning for large-scale spatiotemporal data and physics-guided deep learning for scientific discovery.
2026 Breaking the Factorization Barrier in Diffusion Language Models ICML 2026 Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success ICML 38 T143 papers12 members14 alumniUS UCSDDepartment of Cognitive Science Dec 15
Develops statistical learning and deep learning models for computer vision and multi-modal data, including image parsing and 3D volumetric modeling.
2026 Beyond Disjoint Tasks: Towards More Natural Continual Learning for Vision-Language Models ECCV 2026 CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation NeurIPS 37 T138 papers10 members31 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Yian Ma Assistant Professor Develops scalable Bayesian inference and sampling algorithms with computational and statistical guarantees, focused on time series and sequential decisions.
2026 Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion COLT 2026 Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data ICLR 36 T141 papers6 members3 alumniUS UCSDElectrical and Computer Engineering Dec 15
Works on robot perception and planning, including probabilistic SLAM, active information gathering and learning-based navigation.
2026 Control Barrier Corridors: From Safety Functions to Safe Goal Sets ICRA 2026 Expanding Safe Sets with Learning-Based Barrier Functions and Reachability IROS 35 T173 papers19 members175 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Develops causal discovery methods with theoretical guarantees and causality-inspired machine learning.
2025 A Skewness-based Criterion for Addressing Heterogeneous Noise in Causal Discovery ICLR 2025 Activation Control for Efficient Eliciting Long Chain-of-Thought Ability of Language Models NeurIPS 32 T135 papers13 membersUS UCSDElectrical and Computer Engineering Dec 15
Develops machine learning and NLP methods for healthcare and automated machine learning.
2026 BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models ACL 2026 Learning to Prompt for Generalizable Instance Segmentation via Bi-Level Optimization TMLR 32 T145 papers6 members14 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Studies robustness, interpretability and safety of deep neural networks, including certified robustness and automated neuron explanation.
2026 Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability CVPR 2026 CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning TMLR 32 T143 papers6 members4 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Hao Zhang Assistant Professor Builds systems for training and serving large machine learning models, such as vLLM and distributed LLM serving.
2026 Deep Think with Confidence ICLR 2026 Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing ICLR 31 T135 papers10 members25 alumniUS UCSDComputer Science and Engineering Dec 15
Works on 3D computer vision, including reconstruction, scene understanding and graphics-based vision for autonomous driving.
2026 LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents ECCV 2026 Mental Models for Multi-Agent Systems NeurIPS 29 T132 papersGroup size not listed US UCSDComputer Science and Engineering Dec 15
Designs energy-efficient computing systems, including hyperdimensional computing and processing-in-memory accelerators for learning.
2026 Benchmarking Scientific Understanding and Reasoning for Video Generation Using VideoScience-Bench ECCV 2026 CCSwitch: A Scalable Data Plane for Non-Blocking In-Network Collective Communication SIGCOMM 27 T1119 papers29 members132 alumniUS UCSDElectrical and Computer Engineering Dec 15
Works on computer vision and machine learning, including object detection, long-tailed and continual recognition.
2026 D2T2 - Multimodal Automated Planning for Brachytherapy CVPR 2026 Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness? ICML 24 T134 papers4 members64 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Develops geometric and topological data analysis methods and graph neural networks with theoretical guarantees.
2026 Beyond FlatWalks: Compositional Abstraction for Autoregressive Graph Generation NeurIPS 2026 Do Graph Neural Networks Learn Generalizable Algorithms for Clustering Graphs? NeurIPS 24 T135 papersGroup size not listed US UCSDHalıcıoğlu Data Science Institute Dec 15
Studies the theory of machine learning, including manifold regularization, interpolation and double descent in deep networks.
2026 The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations ICLR 2026 Toward universal steering and monitoring of AI models Science 23 T126 papersGroup size not listed