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Xiangru (Edward) Jian

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@EdwardJian2

CS PhDing @UWCheritonCS. Prev @SFResearch and @ServiceNowRSRCH. Working on agents (data agent and CUA), multimodal learning, and data management. Open to Work.
Waterloo, Ontario edward-jianqaq.github.io Joined October 2022
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Xiangru (Edward) Jian Verified account @EdwardJian2
Thanks, @_akhaliq, for posting our latest work on AI for Manufacturing. We are happy to have your feedback and together push this front even more in the near future! (yes! it's only a start๐Ÿ˜†)
AK Verified account @_akhaliq Apr 13
FORGE

Fine-grained Multimodal Evaluation for Manufacturing Scenarios

paper: huggingface.co/papers/2604.07โ€ฆ
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Xiangru (Edward) Jian Verified account @EdwardJian2
Honored to be selected as a 2026 IEEE BigData Rising Star, one of 18 researchers recognized this year๐Ÿ™Œ. My research at the University of Waterloo explores AI agents and data systems. Grateful to my advisor, collaborators, and mentors for their support!

Want to know more about my research, please click: edward-jianqaq.github.io for more detail๐Ÿš€
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Xiangru (Edward) Jian Verified account @EdwardJian2
Excited to share X-Tree, which turns reusable agent experience into a structured training signal for more efficient generalization. Glad to have contributed, and huge credit to @TonyCheng990417 for pushing this work forward!
Sitao Cheng @TonyCheng990417 Oct 5
Agents learn from flat action sequences (SFT, RLVR), so reusable experience go unused.

We mine them into a tree without LLMs, and train on it as data, reward and context.

X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization ๐Ÿงต
๐Ÿ”— sitaocheng.github.io/xtree/
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Xiangru (Edward) Jian Verified account @EdwardJian2
Happy to contribute to 3 of 4 projects here and be co-first author of 2 of them. This is a significant part of my effort on multimodal learning for the past 2 years. Would like to thank the whole team without whom none of these can be possible! Look forward to see the next move from this wonderful team. And please stay tuned for my next effort too ๐Ÿ˜†
Sai Rajeswar Verified account @RajeswarSai Jun 23
๐—›๐—ฎ๐—น๐—ณ ๐—ฎ ๐—บ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป ๐—ฑ๐—ผ๐˜„๐—ป๐—น๐—ผ๐—ฎ๐—ฑ๐˜€. ๐ŸŽ‰
Huge milestone for our Enterprise AI efforts: We are closing in on 500K+ downloads since last year, with ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ๐—ข๐—ฝ๐˜€-๐—š๐˜†๐—บ being our latest release.

What makes this meaningful is the impact around it: seeing researchers and contributors pick up the work, stress-test it and push it in directions we did not anticipate. a reminder that addressing real problems compounds over time.

Current snapshot on @huggingface ๐Ÿค—ย :
โ€ข ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ๐—ข๐—ฝ๐˜€-๐—š๐˜†๐—บ (ICML 2026) โ€” 20K
โ€ข ๐—š๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ๐—–๐—จ๐—” (ICLR 2026) โ€” 396K
โ€ข ๐—จ๐—œ-๐—ฉ๐—ถ๐˜€๐—ถ๐—ผ๐—ป (ICML 2025) โ€” 42K
โ€ข ๐—•๐—ถ๐—ด๐——๐—ผ๐—ฐ๐˜€ (ICLR 2025) โ€” 43K

@shiva_malay,@PShravannayak, @TheJishnuNair, @aarashfeizi , @EdwardJian2, @KevinQHLin , @kxli_2000 , @joanrod_ai , @patricebechard , @tianyu_zh , @gspandana , @AbhayPuri98 , @sagardavasam, @siris_krishna, @ServiceNowRSRCH , @Mila_Quebec , @chrisjpal
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