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about me taoan huang taoan huang publications cv taoan huang ph d student at university of southern california follow los angeles california email google scholar about me i am a ph d candidate in computer science at university of southern california i am co advised by professor bistra dilkina and professor sven koenig in 2019 i received my b e in computer science from yao class at tsinghua university from may to december in 2022 i was a research scientist intern at meta ai fair where i worked closely with benoit steiner and yuandong tian in summer 2021 i was a research scientist intern at amazon robotics where i worked with vikas shivashankar in spring 2018 i was a research intern at carneige mellon university advised by professor fei fang in summer 2018 i was a research intern at the university of hong kong advised by professor zhiyi huang my research interests lie in artificial intelligence with a focus on multi agent systems combinatorial optimization machine learning computational game theory and computational sustainability cv news 2024 06 we released distributional miplib the first multi domain library of problem distributions for advancing machine learning guided mixed integer linear programming solving 2024 08 i defended my thesis on improving decision making in search algorithms with machine learning for combinatorial optimizations 2024 07 our paper on using contrastive learning for backdoor predictions for milps has been accepted to ecai 2024 2024 05 our papers conpas and genco have been accepted to icml 2024 2023 12 our work balance a bandit based large neighborhood search for mapf is accepted to aaai 2024 2023 10 i gave a research talk on neural combinatorial optimization at the d e shaw group 2023 09 i passed my phd thesis proposal 2023 09 our work with fair lancer learning decision losses for mathematical optimization under partial information is accepted to neurips 2023 2023 07 our surco paper won the outstanding paper award at the icml 2023 sods workshop 2023 07 our paper on solving large scale planning problems in automated warehouses is named the best student paper runner up at icaps 2023 2023 04 our papers on ml guided optimization for mixed integer programs and non linear combinatorial optimization with facebook ai research are accepted to icml 2023 2023 03 our works on using ml for combinatorial optimizations are presented at the ipam artificial intelligence and discrete optimization workshop the recordings can be found on youtube bistra s presentation yuandong s presentation i also presented a poster which is a summary of my work on ml guided multi agent path finding 2023 02 our paper with amazon robotics on solving large scale planning problems in automated warehouses is accepted to icaps 2023 i also presented this work at aaai 23 workshop on multi agent path finding 2023 01 our paper with facebook ai research on applying large neighborhood search to solve integer linear programs is accepted to cpaior 2023 we discovered a simple yet effective destroy heuristic based on the lp relaxation of local branching 2022 10 i presented my work on ml guided multi agent path finding at informs annual meeting 2022 2022 08 i started a new position as a student researcher at meta ai fair show more 2022 07 i presented my work with amazon robotics on deadline aware multi agent tour planning https hsi workshop github io hsi 2022 camera ready deadline aware_multi agent_tour_planning pdf at hsi workshop 2022 in conjunction with ijcai ecai 2022 https hsi workshop github io program html 2022 05 undergrad student shuyang zhang whom i co advised with jiaoyang li https jiaoyangli me won the usc outstanding cs undergraduate research award we published a paper at socs 22 on learning priority orders for agents in path planning 2022 04 my research on enhancing seismic resilient water pipe networks is selected for oral presentation at the fourteenth annual annenberg graduate fellowship research and creative project symposium only six submissions were selected 2022 03 i passed the qualification exam and now i am a ph d candidate 2021 12 our paper on ml guided large neighborhood search for mapf has been accepted to aaai 2022 https aaai org conferences aaai 22 2021 11 i am joining facebook ai research fair as a research intern next may 2021 08 i finished my 3 month research internship at amazon robotics 2021 04 our team won 7th place out of 50 teams and received a 1 000 prize in terminal live west coast regional which is a games based ai coding competition hosted by citadel llc and citadel securities 2021 04 i won a second prize of 500 at the thirteenth annual annenberg graduate fellowship research and creative project symposium i will be presenting my work on how and when to follow tips using game theory for multi agent communication and coordination in wildlife conservation 2020 12 a paper accepted to aamas 2021 2020 12 a virtual talk at learning meets combinatorial algorithms workshop at neurips 2020 2020 12 a paper accepted to aaai 2021 li 2020 11 a virtual talk at informs 2020 session machine learning and discrete optimization 2020 07 a virtual talk at 2020 harvard crcs ai for social good workshop 2020 06 a virtual talk at compass 2020 2020 05 a virtual talk at aamas 2020 2020 05 a paper accepted to compass 2020 2020 04 a paper accepted to ijcai 2020 2020 03 a talk at harvard crcs workshop on ai for social impact 2020 01 a paper accepted to aamas 2020 2019 08 joining usc as a ph d student sitemap follow feed 2024 taoan huang powered by jekyll academicpages a fork of minimal mistakes