“Panpan single-handedly developed my research skills to thrive on my Ph.D. studies in three months. She was my manager/ mentor at Bosch Research during my summer internship in the first year of my Ph.D. (2017 summer). During the time, Panpan guided me to tackle real-life data mining problems in Bosch with novel machine learning concepts and showed me various solid skills to develop robust algorithms and applications with a rich stack of programming languages. It turned out to be a fruitful summer, in which we together published a top-venue paper and filed a patent. Undoubtedly, these would have been impossible if Panpan did not have solid machine learning skills, insights on the sweet spots of research challenges, or seamless communication with the business unit. Until now, she is still my role model as a well-rounded scientist.”
About
I am passionate about developing innovative software solutions that empower people to…
Activity
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Today we’re launching our Legal Agent Benchmark, an open benchmark for long-horizon legal agents. This is a culmination of a tremendous amount of…
Today we’re launching our Legal Agent Benchmark, an open benchmark for long-horizon legal agents. This is a culmination of a tremendous amount of…
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Our first step towards a continuous learning layer for Agents, starting from a research prototype to a full fledged product, great work from our…
Our first step towards a continuous learning layer for Agents, starting from a research prototype to a full fledged product, great work from our…
Shared by Panpan Xu
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Continuous Agent Optimization: Agents that launch with great accuracy don't always stay that way. It's a challenge we hear about from developers. Our…
Continuous Agent Optimization: Agents that launch with great accuracy don't always stay that way. It's a challenge we hear about from developers. Our…
Liked by Panpan Xu
Experience
Education
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The Hong Kong University of Science and Technology
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Thesis Topic: Mining and Visualizing Large-Scale Heterogeneous Network
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Publications
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Interpretable and Steerable Sequence Learning via Prototypes
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 19), Research Track, Oral
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An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data.
IEEE Transactions on Visualization and Computer Graphics
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Interactive Visual Co-cluster Analysis of Bipartite Graphs.
IEEE Pacific Visualization Symposium (PacificVis)
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iSphere: Focus+ context sphere visualization for interactive large graph exploration
Proceedings of the ACM SIG CHI Conference on Human Factors in Computing Systems
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ProtoSteer: Steering Deep Sequence Model with Prototypes
IEEE Transactions on Visualization and Computer Graphics (VAST 2019)
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Sequence Synopsis: Optimize Visual Summary of Temporal Event Data.
IEEE Transactions on Visualization and Computer Graphics
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TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis. (Best Paper Award)
IEEE Transactions on Visualization and Computer Graphics
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ViBR: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle.
IEEE Transactions on Visualization and Computer Graphics
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ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories (Best Paper Honorable Mention Award)
IEEE Transactions on Visualization and Computer Graphics
Patents
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Methods and Systems For Optimized Visual Summarization for Sequences of Temporal Event Data
US 16047092
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Methods and systems for simplified graphical depictions of bipartite graphs
US 10650559
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Visual Diagnostics/Analytics System and Method for Smart Manufacturing Assembly Line Performance
US 16308770
Honors & Awards
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Best Paper Award, IEEE Visualization Conference
IEEE Computer Society
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Best Paper Honorable Mention Award, IEEE Visualization Conference
IEEE Computer Society
Languages
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Chinese
Native or bilingual proficiency
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English
Professional working proficiency
Recommendations received
1 person has recommended Panpan
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We’re excited to open the Call for Papers for the 3rd edition of our workshop on enterprise AI agents at KDD 2026 in Jeju, Korea. Over the last two…
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Every AI agent needs the same scaffolding underneath: tools to interact with, an environment to work in, a system to manage context, memory to help…
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We made the list! 🎉 Pano AI has just been named in Fast Company's top 50 Most Innovative Companies of 2026 — ranking #1 in the Sustainability…
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A list of 27 physical AI startups that raised >$50M in Q1 2026. All likely hiring: 1/ Skild AI 🇺🇸: $1.4B · foundation models for any robot 2/…
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Meet Kimi K2.6: Advancing Open-Source Coding 🔹 Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7)…
Meet Kimi K2.6: Advancing Open-Source Coding 🔹 Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7)…
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Strands Steering is changing how AI agents stay reliable at scale. Most agents work well in testing. In production, they drift. Strands Steering…
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Check out our new RL recipe for training strong code search models! It uses just a bash terminal, no special tools, for exploring the codebase, but…
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