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Home Artificial Intelligence

Qi Hu, AI Researcher and Computer Science Graduate, Presents Two Studies in Financial Fraud Detection and Explainable AI at ICIC 2026

August 6, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 7 mins read
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Qi Hu, AI Resea che  a d Compute  Scie ce G aduate, P ese ts Two Studies i  Fi a cial F aud Detectio  a d Explai able AI at ICIC 2026

Photo Cou tesy of Qi Hu

SACRAMENTO, Calif., Aug. 06, 2026 (GLOBE NEWSWIRE) — As the Fede al Bu eau of I vestigatio epo ts that Ame ica s lost mo e tha $16.6 billio to digital fi a cial scams i 2024, a 370% i c ease ove five yea s, i depe de t AI esea che a d compute scie ce g aduate Qi Hu has had two studies accepted at the 2026 I te atio al Co fe e ce o I tellige t Computi g (ICIC 2026) i To o to, Ca ada, each ta geti g a tech ical gap that allows fi a cial f aud to flou ish.

Hu, who specializes i fi a cial i tellige ce a d compute visio , will p ese t two f amewo ks — P otoHGC a d RoR-CV — at the co fe e ce o July 22–26, 2026. Both add ess p oblems U.S. egulato s have flagged as c itical weak esses i the atio ‘s fi a cial i f ast uctu e: detecti g sophisticated f aud, a d maki g AI-d ive fi a cial decisio s explai able a d auditable. The pape s we e selected th ough ICIC’s pee eview p ocess a d will be published by Sp i ge i its Lectu e Notes i Compute Scie ce (LNCS) se ies.

Despite the scale of the c isis, with ove 76% of U.S. o ga izatio s expe ie ci g attempted o actual payme t f aud i 2025, a d o ly 17% cu e tly usi g AI to combat it, fi a cial i stitutio s co ti ue to st uggle with detecti g sophisticated f aud patte s hidde withi complex t a sactio etwo ks.

P otoHGC maps out the web of co ectio s o a digital payme t platfo m — how accou ts, t a sactio s, a d timi g elate to o e a othe — to spot the patte s that sig al f aud. Because it lea s what suspicious activity looks like f om the st uctu e of the data itself, it ca flag f aud eve whe the e a e few co fi med examples to lea f om. I be chma k testi g, P otoHGC detected f aud mo e accu ately tha the leadi g alte ative methods ac oss eve y measu e evaluated, acco di g to Hu.

U.S. fi a cial egulato s have i c easi gly emphasized explai ability a d auditability as p e equisites fo espo sible AI deployme t i fi a cial se vices. Co ve tio al systems ofte p oduce accu ate outputs without t aceable atio ales, a c itical liability i egulated e vi o me ts.

RoR-CV b i gs togethe th ee thi gs a huma a alyst would use — cha ts a d fi a cial epo ts, a u de sta di g of cause a d effect, a d awa e ess of shifti g ma ket co ditio s — i to a si gle tool that ecomme ds i vestme ts a d explai s its easo i g. It eads the figu es i cha ts a d epo ts, t aces how b oad eco omic eve ts ipple dow to affect specific compa ies a d assets, a d adjusts how much weight it gives visual data as ma kets g ow mo e volatile. Acco di g to Hu, i testi g, RoR-CV made mo e accu ate a d bette -explai ed ecomme datio s tha existi g tools, i cludi g du i g dow tu s a d tu bule t ma kets.

These accepta ces build o Hu’s ea lie pee – eviewed wo k, i cludi g a method fo lo g-seque ce video object segme tatio published i IEEE Sig al P ocessi g Lette s (2026), a AI isk-co t ol system fo o li e le di g p ese ted at a ACM co fe e ce (2025), a d a fi a cial ecomme datio tool that outpe fo med a leadi g i dust y model by oughly 10–12% o sta da d accu acy measu es. Hu’s published esea ch has bee cited 44 times, a d she se ves as a pee eviewe fo jou als i cludi g IEEE Access, Patte Recog itio Lette s (Elsevie ), a d I fo matica.

“The combi atio of g aph-based f aud detectio , explai able multimodal ecomme datio , a d AI-d ive isk ma ageme t ep ese ts a comp ehe sive app oach to o e of the most p essi g challe ges i U.S. fi a cial tech ology,” said Qi Hu.

About ICIC 2026

The I te atio al Co fe e ce o I tellige t Computi g (ICIC) is a a ual gathe i g of esea che s i a tificial i tellige ce a d elated fields, ow i its 22 d editio . The 2026 co fe e ce takes place July 22–26 i To o to, Ca ada, b i gi g togethe academics a d p actitio e s to p ese t ew wo k ac oss machi e lea i g, compute visio , a d applied AI.

Pape s accepted at ICIC a e published by Sp i ge i its Lectu e Notes i Compute Scie ce (LNCS) a d Lectu e Notes i A tificial I tellige ce (LNAI) se ies, lo g-established efe e ces i the field.

Co tact I fo matio :

Co tact Name: Aud ey SmithCompa y: Spa ke Lab LLCCompa y website: spa ke lab.comCo tact Email Add ess: aud ey@jwove seas.c Sac ame to, CA 95814, USA

A photo accompa yi g this a ou ceme t is available at https://www.globe ewswi e.com/NewsRoom/Attachme tNg/ac43b0d0-5413-46a4-9be1-6111e6ef64bd

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