Livermore researchers are participating in the IEEE Visualization & Visual Analytics Conference on November 9–13 in Boston. According to the conference website, the event is the "premier forum for advances in theory, methods, and applications of visualization and visual analytics." Follow Computing at LLNL on LinkedIn and @Livermore_Comp on X with the #IEEEVIS2026 hashtag.
Tutorial: Lossy Compression for Scientific Data: Principles, Tools, and Implications for Visualization | Peter Lindstrom, (co-organizer)
Papers:
- A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes | Haichao Miao, Peer-Timo Bremer (co-authors)
- Exploring LLM Agent Designs and Interaction Modalities for Scientific Visualization | Haichao Miao, Shusen Liu (co-authors)
- Materializing Inter-Channel Relationships with Multi-Density Woodcock Tracking | Haichao Miao (co-author)
- Reimagining Disassembly Interfaces with Visualization: Combining Instruction Tracing and Control Flow with DisViz | Matthew P. LeGendre (co-author)
- SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents | Haichao Miao, Helgi Ingolfsson, Shusen Liu (co-authors)
Program committee members
- Peter Lindstrom – Full papers
- Shusen Liu – Full papers