Yizhou Sun
Professor
Develops graph neural networks, knowledge graph reasoning and network mining, with applications to science and chip design.
Yizhou Sun's lab at UCLA works on graph mining & networks, knowledge, QA & retrieval and graph learning. 102 papers since 2023, 42 at top venues, mostly ICML and ICLR. 12 PhD students. 18 alumni, most often to Meta and Amazon. Applications close .
At a glance
- papers, 2023–2026
- 27/ year
- at T1 venues
- 41%
- PhD students
- 12
- MS students
- 0
- alumni listed
- 18
Papers by yearfrom the lab homepage, 2023–2026
- 26 papers2026 · T1 17 · collecting
- 31 papers2025 · T1 15
- 23 papers2024 · T1 3
- 22 papers2023 · T1 7
T1 venuesOtherVenues: ICML, ICLR, KDD, NeurIPS, ACL
Research focuspaper titles that use each topic's words
- Graph learning38 papers
- Graph mining & networks22 papers
- graph21 papers
- Knowledge, QA & retrieval8 papers
- develops graph0 papers
Paper list
From the lab homepage.
202626 papers
- ACM Computing Surveys, MarchA Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
- ICML (T1)ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
- ICLR (T1)Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
- ICLR (T1)Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
- COLMComponent and Dimension Sparsity in Transformer Refusal Mechanisms
- ICML (T1)ConFu: Contemplate the Future for Better Speculative Sampling
- KDD (T1)CoRGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
- COLMCrystalSTAR: Structured Action Orchestration with Trio-Reflection for Constrained Novel Crystal Discovery
- TKDDDoMiNO: Decomposing Molecular Dynamics with Multi-Scale Neural Graph Ordinary Differential Equations
- ACL (T1)Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)Enhancing ASIC HLS Design Optimization via Knowledge Transfer from FPGA HLS Models
- KDD (T1)FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation
202531 papers
- COLMA Meta-Evaluation of Measuring LLM Misgendering
- AAAI’25Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
- COLING’25Automated Molecular Concept Generation and Labeling with Large Language Models
- ICML (T1)Contradiction Retrieval via Contrastive Learning with Sparsity
- LoGControllable Generation of Drug-like Molecular Materials with Multi-modal Variational Flow
- Nature Machine Intelligence (T1)Designing metamaterials with programmable nonlinear responses and geometric constraints in graph space
- ICLR (T1)Do Contemporary CATE Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
- NeurIPS (T1)Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
- AAAI’25Dynamic-Width Speculative Beam Decoding for LLM Inference
- NeurIPS (T1)Flow Field Reconstruction with Sensor Placement Policy Learning
- KDD’25Future Matters for Present: Towards Effective Physical Simulation over Meshes
- TMLR (T1)Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics
202423 papers
- Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
- TheWebConf'24, MayCausal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
- ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD ’24), September 9-11, , Salt Lake City, UT, USA. ACM, New York, NY, USACross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
- ICCAD'24Efficient Task Transfer for HLS DSE
- TheWebConf'24, MayFast Inference of Removal-Based Node Influence
- ACL FindingsFUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
- IEEE Transactions on Circuits and Systems for Artificial IntelligenceHarnessing GNNs for Robust Representation Learning in High-Level Synthesis
- NeurIPS'24Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
- SDM'24, AprilLaplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks
- ICLR'24, MayLearning Over Molecular Conformer Ensembles: Datasets and Benchmarks
- ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD '24), September 9-11, , Salt Lake City, UT, USA. ACM, New York, NY, USALearning to Compare Hardware Designs for High-Level Synthesis
- TKDE (T1)Motif-Driven Contrastive Learning of Graph Representations
202322 papers
- " in Proc. of The Web Conf. , Austin, TX, Apr. .A Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
- NeurIPS (T1)AVIS: Autonomous Visual Information Seeking with Large Language Models
- NeurIPS (T1)CARE: Modeling Interacting Dynamics Under Temporal Distribution Shift
- KDD . [Video]CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
- " in Proc. of The Web Conf. , Austin, TX, Apr.Code Recommendation for Open Source Software Developers
- Findings of ACLConcept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
- EPJ Data ScienceDetecting Political Biases of Named Entities and Hashtags on Twitter
- KDD . [Video]Generalizing Graph ODE for Learning Complex System Dynamics across Environments
- ICML (T1)HOPE: High-order Graph ODE For Modeling Interacting Dynamics
- ACL (T1)Introducing Semantics into Speech Encoders
- Materials Horizons, JuneLearning molecular dynamics: predicting the dynamics of glasses by a machine learning simulator
- " in Proc. of Int. Conf. on Learning Representations (ICLR’23), Kigali, Rwanda, May.Neural Compositional Rule Learning for Knowledge Graph Reasoning
Where alumni went18 listed, 79% to industry
Industry 11Academia 3
Most often to
- Meta
- Amazon
- ByteDance
Also to
- Caltech
- Harvard University
Apply to UCLAFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- optional
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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