Latest News

• Apr 2025:

  • Our PacificVis paper won the best paper award🏆! Congrats to Yi-Tang and Han-Wei.

• Mar 2025:

  • We had two papers accepted by ICLR 2025 co-held TCCML workshop. One of the paper won the spotlight presentation. 

  • We had one collaboration paper accepted by IEEE/ACM CHASE conference.

• Dec 2024:

  • Our paper "Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration" was accepted by PacificVis 2025 TVCG journal track and for presentation at the conference.

  • We have a position paper accepted by an ASCR/BER workshop.

• Nov 2024:

  • I presented "AI for Science: From Infrastructure to Scientific Application" at the DOE Booth of SC24 with my two colleagues from AI department.

  • Our Chimbuko paper "Performance analysis and data reduction for exascale scientific workflows" was officially accepted by IJHPCA journal.

  • Our paper "Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations" was accepted and will be presented as an oral presentation in a BigData co-held TrustML4Health workshop.

  • I served as the reviewer for FY25 DOE's SBIR/STTR program. 

• Oct 2024:

  • We have a poster accepted by the NSF workshop on Quantum Operating Systems and Real-Time Control, Austin TX, Nov 2024.

• Sep 2024:

  • I served as the organizing committee and session chair of NYSDS, which was successfully held in SUNY Global.

• Aug 2024:

  • New presentation with Kitware at M&M: Multivariate Volume Data: Achieving Deeper Insight through Multivariate Volume Rendering and Machine-Guided Exploration. product

• May 2024:

  • I became the Group Lead for Trustworthy AI (TAI) group of AI Department at CSI/BNL.

  • I served as the technical papers committee member of SC24 and VIS24.

• Feb 2024: 

  • I presented our workshop paper at AAAI co-held XAI4Sci workshop.

  • I was the session chair for a Machine Learning session of AAAI24, Vancouver.

  • I served as a technical committee member of HICCS trustworthy mini-track 2025.

• Jan 2024: Our paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks," was accepted by ICLR 2024. paper  |  webpage

• Dec 2023:

  • We have a short explainable AI paper accepted by AAAI co-held XAI4Sci workshop.

• Nov 2023:

  • I was the session chair for the paper session of "Applications of Machine Learning" in SC23, Denver.

  • I gave a talk about ML/AI for ImPACTS at SciDAC FASTMath All Hands co-held mini-ML workshop.

  • I served as a committee member of IPDPS 2024.

  • I served as the reviewer for FY25 DOE's SBIR/STTR program. 

• Oct 2023: 

  • Our TVCG paper was presented at IEEE VIS.

  • I gave a presentation about ML/AI for ImPACTS at DOE Data Days at LLNL.

  • I served as a committee member of ISVC 2023.

• Sep 2023: 

  • We have two presentations accepted by DOE Data Days. 

  • I served as a technical committee member of HICCS trustworthy mini-track 2024.

• Jul 2023: 

  • We have a position paper accepted by DOE's ASCR Basic Research Needs in Quantum Computing and Networking.

  • I served as the organizing committee of Fully3D conference, which was successfully held at Stony Brook University.

• May 2023: 

  • I served as the technical papers committee member of SC23 and VIS23.

• Mar 2023: 

  • Our paper "RadVolViz: An Information Display-Inspired Transfer Function Editor for Multivariate Volume Visualization" was accepted by TVCG'23.

  • Our paper "VENUS: A Geometrical Representation for Quantum State Visualization" was accepted by EuroVis'23.

• Nov 2022: 

  • Our paper "Zero or Infinite Data? Knowledge Synchronized Machine Learning Emulation" was accepted by NeurIPS co-held AI4Science workshop.

• Sep 2022: 

  • Our paper "A Bayesian Deep Learning Approach to Near-Term Climate Prediction" was accepted by JAMES.

• Jan 2022: 

  • I served on the committee of a DOE ASCR Visualization workshop. 

• Dec 2021:  

  • Our ECP CODAR group paper was published in a SAGE journal.

• Jun 2021: 

  • Xinyi and Parn presented our VisLRP paper at EuroVis. 

• May 2021: 

  • I presented our feature importance paper with Xihaier at AIMOCC/ICLR workshop.

• Apr 2021: 

  • I presented recent works at DOECGF virtual meeting.

  • Our new paper "Feature Importance in a Deep Learning Climate Emulator" was accepted by AIMOCC workshop of ICLR conference.

• Mar 2021: 

  • Our new paper "A Visual Designer of Layer-wise Relevance Propagation Models" was accepted by EuroVis.

• Nov 2020: 

  • Our Chimbuko paper won the Best Paper award in ISAV/SC20. 

• Oct 2020: 

  • Xinyi and Parn presented our paper VisMAL in IEEE VIS 2020.

  • Heyi presented XAI paper in ISVC20.

  • I presented at SSRL/LCLS Users' Meeting.

• Sep 2020: 

  • I presented at Compression Experiment Workflows workshop at LANL.