{"id":35,"date":"2021-09-17T19:04:14","date_gmt":"2021-09-17T23:04:14","guid":{"rendered":"https:\/\/sites.nd.edu\/xiangliang-zhang\/?page_id=35"},"modified":"2026-08-31T11:47:21","modified_gmt":"2026-08-31T15:47:21","slug":"home","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/xiangliang-zhang\/","title":{"rendered":"Welcome"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"wp-block-paragraph\">Dr. Zhang is a Leonard C. Bettex Collegiate Professor of Computer Science at University of Notre Dame, where she is leading a Machine Intelligence and kNowledge Engineering (MINE) group.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Her research broadly addresses ways that enable \u200bcomputer machines to\u200b learn by the use of diverse types of data.\u00a0Specifically, she is interested in designing trustworthy AI models for learning from complex and large-scale data, with applications to knowledge discovery, and natural language understanding. Her recent research notably advances the application of AI in scientific disciplines such as Chemistry, Biology and Physics. More information can be found in the <a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/publications\/\" target=\"_blank\" rel=\"noreferrer noopener\">publications grouped by research problems<\/a>, or the full list of <a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/pub-year\/\" target=\"_blank\" rel=\"noreferrer noopener\">over 300 peer-reviewed papers<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">She was invited to deliver an Early Career Spotlight talk at IJCAI-ECAI 2018. In 2009, she was awarded the European Research Consortium for Informatics and Mathematics (ERCIM) Alain Bensoussan Fellowship. She regularly serve on the Program Committee for premier conferences like SIGKDD (Area Chair, Senior PC), AAAI (Area Chair, Senior PC), IJCAI (Area Chair, Senior PC), etc. She also serves as Editor-in-Chief of <a href=\"https:\/\/dl.acm.org\/newsletter\/sigkdd\">ACM SIGKDD Explorations<\/a>, associated editor for ACM transactions on Knowledge Discovery from Data (TKDD) and Information Sciences. She recently serves as the PC Co-chair of <a href=\"https:\/\/kdd2026.kdd.org\/research-track-call-for-papers\/\">KDD 2026<\/a> (research track).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prior to joining the University of Notre Dame, she was an Associate Professor in Computer Science at KAUST, Saudi Arabia. She completed her Ph.D. degree in computer science from INRIA-University Paris-Sud, France, in July 2010. She received her master and bachelor degrees from Xi\u2019an Jiaotong University, China.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large is-resized is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1017\" height=\"1024\" src=\"http:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2-1017x1024.png\" alt=\"\" class=\"wp-image-55\" style=\"width:274px;height:279px\" srcset=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2-1017x1024.png 1017w, https:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2-298x300.png 298w, https:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2-150x150.png 150w, https:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2-768x773.png 768w, https:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2-100x100.png 100w, https:\/\/sites.nd.edu\/xiangliang-zhang\/files\/2021\/09\/xiangliang-pic-copy2.png 1080w\" sizes=\"auto, (max-width: 1017px) 100vw, 1017px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Latest News<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>May 2026, Congratulations to several of our students for their papers accepted by ICML 2026, KDD 2026, ACL 2026 and CHI 2026! So proud of these interesting papers:\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/arxiv.org\/abs\/2602.12966\">ProbeLLM: Automating Principled Diagnosis of LLM Failures.<\/a><strong> ICML 2026<\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2602.12124\">Agent Training vs Induced Risks!<\/a>. <strong>ICML 2026<\/strong>.<\/li>\n\n\n\n<li><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=BhRJe4wAAAAJ&amp;cstart=20&amp;pagesize=80&amp;sortby=pubdate&amp;citation_for_view=BhRJe4wAAAAJ:IF0FbId8XVwC\">Recipes for Agents: Understanding Skills and Their Open Questions.<\/a> <strong>KDD 2026 Blue Sky Ideas <\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2602.10476\">Flow Matching + Reaction Prediction<\/a>. &nbsp;<strong>KDD 2026 AI4Sciences<\/strong> <\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2510.12831\">Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training<\/a>. <strong>ACL 2026<\/strong>.<\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2603.08291\">A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning<\/a>. <strong>ACL 2026<\/strong>.<\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2604.07655\">Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs.<\/a> <strong>ACL 2026 Findings<\/strong>.<\/li>\n\n\n\n<li> <a href=\"https:\/\/arxiv.org\/abs\/2509.10427\">My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom<\/a>.<strong> CHI 2026<\/strong>. (Honourable Mention Award)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mar 2026, call for papers! Welcome submissions to several workshops we are co-organizing:\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/openreview.net\/group?id=KDD.org\/2026\/Workshop\/SciSoc_Agents_and_LLMs&amp;referrer=%5BHomepage%5D(%2F)#tab-recent-activity\"><strong>KDD<\/strong> 2026 Workshop on <strong>Agentic AI for Scientific and Societal Advances<\/strong><\/a><\/li>\n\n\n\n<li><strong>KDD<\/strong> 2026 workshop on <strong><a href=\"https:\/\/kdd26-relscifm.github.io\/\">Reliable Scientific Foundation Models: Design, Training, Grounding, and Verification (RelSciFM)<\/a><\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/sites.google.com\/view\/aiedkdd26\"><strong>AI for Education <\/strong>Day at the <strong>KDD<\/strong> 2026 conference<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/knowledgemr-workshop.github.io\/\"><strong>CVPR<\/strong> 2026 &#8211; 2nd Workshop on K<strong>nowledge-Intensive Multimodal Reasoning<\/strong><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/ai4physics-workshop.github.io\/\"><strong>ICML<\/strong> 2026 Workshop on <strong>AI for Physics (AI4Physics)<\/strong><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Jan 2026\n<ul class=\"wp-block-list\">\n<li>Congratulations to <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a> for his papers accepted by <strong>ICLR 2026<\/strong>! Check the amazing contributions in <a href=\"https:\/\/openreview.net\/pdf?id=Fcf5fLmaeG\">Benchmarking Generative Foundation Models (TrustGen)<\/a>, and  <a href=\"https:\/\/openreview.net\/pdf?id=M47SWYubR5\">Guardrail for General Agentic Systems<\/a>.<\/li>\n\n\n\n<li>Our work of <a href=\"https:\/\/arxiv.org\/abs\/2410.14182\">Benchmarking Large Language Models on Safety Issues in Scientific Labs<\/a>  was <strong>highlighted by<\/strong> <strong><a href=\"https:\/\/www.newscientist.com\/article\/2511098-all-major-ai-models-risk-encouraging-dangerous-science-experiments\/.\">New Scientist<\/a><\/strong> magazine, and <a href=\"https:\/\/www.science.org\/content\/article\/leading-ai-models-miss-dangerous-lab-risks\"><strong>Science News<\/strong><\/a>. <\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Nov 2025\n<ul class=\"wp-block-list\">\n<li>Congratulations to <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a>,  <a href=\"https:\/\/scholar.google.com\/citations?user=35otsO4AAAAJ&amp;hl=en\">Xiaonan Luo<\/a> and <a href=\"https:\/\/xiangqiwang77.github.io\/mainpage\/\">Xiangqi Wang<\/a> for their papers accepted by <strong>AAAI 2026<\/strong>! <\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/openreview.net\/profile?id=~Yujun_Zhou1\">Yujun Zhou<\/a> for the paper  <a href=\"https:\/\/arxiv.org\/abs\/2410.14182\">Benchmarking Large Language Models on Safety Issues in Scientific Labs<\/a> , to appear in <strong>Nature Machine Intelligence<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sep 2025\n<ul class=\"wp-block-list\">\n<li>Congratulations to <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a> and <a href=\"https:\/\/xiangqiwang77.github.io\/mainpage\/\">Xiangqi Wang<\/a> for their papers accepted by <strong>NeurIP 2025<\/strong>! Check our recent work of<a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/publications\/\"> LLM reasoning and benchmarks.<\/a><\/li>\n\n\n\n<li>We are organizing an <a href=\"https:\/\/ai4research-workshop.github.io\/\">AI for Scientific Research Workshop<\/a> at <strong>AAAI 2026<\/strong>. Welcome to submit!<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Aug 2025\n<ul class=\"wp-block-list\">\n<li>Congratulations to  <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a> and our co-authors for winning the <strong>Best Paper Award<\/strong> at the <strong>KDD 2025 SciSoc LLM Workshop<\/strong> for our paper &#8220;<a href=\"http:\/\/Evaluating Large Language Models with Psychometrics\">Evaluating Large Language Models with Psychometrics<\/a>&#8220;, and the <strong>Best Paper Award<\/strong> at the <strong>ICML2025 Workshop on Data in Generative Models (DIG-BUG)<\/strong> for our paper &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2502.01534\">Preference Leakage: A Contamination Problem in LLM-as-a-Judge<\/a>&#8220;.  Many thanks to all our collaborators for their valuable contributions. <\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a>, <a href=\"https:\/\/kehanguo2.github.io\/\">Kehan<\/a>, <a href=\"https:\/\/yilish.github.io\/\">Yili<\/a> for their papers accepted at CIKM 2025!  <\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>May 2025\n<ul class=\"wp-block-list\">\n<li>With the support of <a href=\"https:\/\/www.google.com\/url?q=https:\/\/t.e2ma.net\/click\/k2mozo\/0e3l7hgd\/gva7qac&amp;source=gmail-imap&amp;ust=1748448314000000&amp;usg=AOvVaw3GZoGuDbMVvBZg8loOVB2z\" target=\"_blank\" rel=\"noreferrer noopener\">Lucy Family Institute for Data &amp; Society<\/a>, the&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https:\/\/t.e2ma.net\/click\/k2mozo\/0e3l7hgd\/0296qac&amp;source=gmail-imap&amp;ust=1748448314000000&amp;usg=AOvVaw3JrevTocSoJFiwmPdTffQs\" target=\"_blank\" rel=\"noreferrer noopener\">Foundation Models and Applications Lab (FMAL)<\/a> is launched! It is co-directed by myself and Prof. Meng Jiang. There is an opening position for a postdoctoral researcher. The research topic is Foundation Models and Applications, emphasizing interdisciplinary collaborations. <a href=\"mailto:xzhang33@nd.edu\" data-type=\"mailto\" data-id=\"mailto:xzhang33@nd.edu\">Contact us<\/a> if you are interested!<\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a>, <a href=\"https:\/\/kehanguo2.github.io\/\">Kehan<\/a>, <a href=\"https:\/\/yilish.github.io\/\">Yili<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=bdEcg6cAAAAJ\">Tianyu<\/a>, and <a href=\"https:\/\/zhmzm.github.io\/\">Haomin<\/a> for their recent publications at ICLR&#8217;25, IJCAI&#8217;25 and ACL&#8217;25!<\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/zhenwen-nlp.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">Zhenwen<\/a>, and <a href=\"https:\/\/scholar.google.com\/citations?user=5gdUgcgAAAAJ&amp;hl=en\">Manal<\/a>, your graduations bring the number of PhDs from our lab to <strong>17! <\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sep 2024\n<ul class=\"wp-block-list\">\n<li>We launch the <strong>IEEE CS North America Student Challenge 2024<\/strong> today. Welcome to participate the competition on <a href=\"https:\/\/www.kaggle.com\/competitions\/ieee-cs-global-student-challenge-2024\">Inferring User Latent Preference from Conversations with LLM<\/a>, and win the First Prize: $2,500; Second Prize: $1,500; Third Prize: $500. It will end soon on Oct 21, 2024.<\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/kehanguo2.github.io\/\">Kehan<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a>, <a href=\"https:\/\/openreview.net\/profile?id=~Yujun_Zhou1\">Yujun<\/a>, <a href=\"https:\/\/ziyikou.me\/\">Ziyi<\/a> and <a href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=bdEcg6cAAAAJ\">Tianyu<\/a>, for their <strong>NeurIPS&#8217;24<\/strong> and <strong>EMNLP&#8217;24 <\/strong>papers! We have made new progress on <strong>LLM trustworthiness<\/strong> and their <strong>applications to chemistry.<\/strong> Check out these amazing work:\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/github.com\/KehanGuo2\/MolPuzzle\">Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation<\/a>. Accepted by&nbsp;<strong>NeurIPS 2024<\/strong>&nbsp;<strong>Datasets and Benchmarks Track as a spotlight<\/strong>.<\/li>\n\n\n\n<li>The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. Accepted by&nbsp;<strong>NeurIPS 2024<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2406.00380\">arXix Link<\/a>.<\/li>\n\n\n\n<li>1+1&gt;2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? Accepted by&nbsp;<strong>EMNLP 2024&nbsp;<\/strong>Main.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2406.14721\">arXiv link.<\/a><\/li>\n\n\n\n<li>Defending Jailbreak Prompts via In-Context Adversarial Game. Accepted by&nbsp;<strong>EMNLP 2024<\/strong>&nbsp;Main.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2402.13148\">arXiv link<\/a>.<\/li>\n\n\n\n<li>RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. Accepted by&nbsp;<strong>EMNLP 2024&nbsp;<\/strong>Main.<\/li>\n\n\n\n<li>SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. Accepted by&nbsp;<strong>EMNLP 2024&nbsp;Findings<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul id=\"block-b3ea73a1-bf17-46ce-a043-64bb9337724d\" class=\"wp-block-list\">\n<li>May 2024\n<ul class=\"wp-block-list\">\n<li>Congratulations to <a href=\"https:\/\/ziyikou.me\/\">Ziyi<\/a>! The <strong>15th <\/strong>PhD graduated from our lab, with his thesis &#8220;<strong>Exploring Trustworthy Concerns in Computer Vision: From Deterministic To Generative Domains<\/strong>&#8220;.<\/li>\n\n\n\n<li>Our recent work regarding LLMs and Trustworthy AI\n<ul class=\"wp-block-list\">\n<li>Congratulations to <a href=\"https:\/\/scholar.google.com\/citations?user=HvzvvqQAAAAJ&amp;hl=en\">Yue Huang<\/a>, who will join us in August very soon, for his ICML 2024 paper: <a href=\"https:\/\/arxiv.org\/abs\/2401.05561\">TrustLLM: Trustworthiness in Large Language Models<\/a>.<\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/taichengguo.github.io\/\">Taicheng<\/a>, for his IJCAI 2024 survey paper: <a href=\"https:\/\/arxiv.org\/abs\/2402.01680\">Large Language Model based Multi-Agents: A Survey of Progress and Challenges<\/a>.<\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/zhenwen-nlp.github.io\/\">Zhenwen<\/a>, for his ACL 2024 paper: <a href=\"https:\/\/arxiv.org\/abs\/2402.05138\">SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark<\/a><\/li>\n\n\n\n<li>Congratulations to <a href=\"https:\/\/openreview.net\/profile?id=~Yujun_Zhou1\">Yujun<\/a>, for his ICML 2024 paper: Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul id=\"block-28ede777-00e7-4b23-a96b-f4bb19b25fc3\" class=\"wp-block-list\">\n<li>October 2023\n<ul class=\"wp-block-list\">\n<li>Congratulations to Zhenwen! Two of his recent papers, focused on solving Math Word Problems, have been accepted for EMNLP 2023.  Check this one: <a href=\"https:\/\/arxiv.org\/abs\/2305.14386\" data-type=\"link\" data-id=\"https:\/\/arxiv.org\/abs\/2305.14386\">Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation<\/a>, and the other one entitled &#8220;UniMath: A Foundational and Multimodal Mathematical Reasoner&#8221; will be online soon.  <\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>September 2023\n<ul class=\"wp-block-list\">\n<li>PI Dr. Zhang is awarded another NSF grant (1.5 million US dollars) for the research project of <a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2333795&amp;HistoricalAwards=false\" data-type=\"link\" data-id=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2333795&amp;HistoricalAwards=false\">Exploiting Federal Data and Beyond: A Multi-modal Knowledge Network for Comprehensive Wildlife Management under Climate Change<\/a>.<\/li>\n\n\n\n<li>Do you know <strong>what LLMs models can do in chemistry?<\/strong> Check our recent paper accepted by <strong><a href=\"https:\/\/arxiv.org\/abs\/2305.18365\">NeurIPS 2023 Datasets and Benchmarks track<\/a><\/strong>. It offers an extensive benchmark across eight varied tasks, and delves into the potential and constraints of LLMs in addressing chemical tasks. Congratulations to Taicheng and Kehan for spearheading this pivotal work!  <\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>August 2023\n<ul class=\"wp-block-list\">\n<li>PI Dr. Zhang is awarded an NSF grant (1 million US dollars) for the research project of <a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2321054&amp;HistoricalAwards=false\" data-type=\"link\" data-id=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2321054&amp;HistoricalAwards=false\">Cybertraining for Chemical Data scientists<\/a>, abbreviated as C2D.<\/li>\n\n\n\n<li>Call for papers!\n<ul class=\"wp-block-list\">\n<li>Dr. Zhang is the co-chair of <a href=\"https:\/\/www.wsdm-conference.org\/2024\/call-for-demonstrations\/\" data-type=\"link\" data-id=\"https:\/\/www.wsdm-conference.org\/2024\/call-for-demonstrations\/\">WSDM&#8217;24 Demo<\/a> (Due: Sep 24, 2023). Accepted papers will be included in the WSDM&#8217;24 proceedings. <\/li>\n\n\n\n<li>Dr. Zhang is the co-chair of <strong>User Modeling and Recommendation<\/strong> track at <a href=\"https:\/\/www2024.thewebconf.org\/calls\/research-tracks\/\">The Web Conference 2024 <\/a>. (Due: Oct 5 (abstract), Oct 12 (full-paper), 2023)<\/li>\n\n\n\n<li>Dr. Zhang is the Editor-in-Chief of <a href=\"https:\/\/dl.acm.org\/newsletter\/sigkdd\" data-type=\"link\" data-id=\"https:\/\/dl.acm.org\/newsletter\/sigkdd\">SIGKDD Explorations<\/a> (the December 2023 issue is accepting submission of surveys, news, opinion papers, vision papers and so on). <\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>November 2022\n<ul class=\"wp-block-list\">\n<li>We have 5 papers accepted by <strong>AAAI 2023<\/strong>! Congratulations to Zhenwen, Qiannan, Hongyan, Xiuying and Xiaoting! These papers present our recent study of data-efficient learning from graphs, trustworthy machine learning and natural language understanding. More can be found <a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/publications\/\">here.<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>August 2022\n<ul class=\"wp-block-list\">\n<li>NSF Center for Computer-Assisted Synthesis led by Prof. Olaf Wiest is funded! In the 5-year project, PI Dr. Zhang&#8217;s team will work on designing novel machine learning models for chemical research problems. See the <a rel=\"noreferrer noopener\" href=\"https:\/\/science.nd.edu\/news\/nsf-center-for-computer-assisted-synthesis-at-notre-dame-names-phase-ii-center-for-chemical-innovation\/\" data-type=\"URL\" data-id=\"https:\/\/science.nd.edu\/news\/nsf-center-for-computer-assisted-synthesis-at-notre-dame-names-phase-ii-center-for-chemical-innovation\/\" target=\"_blank\">news<\/a>.<\/li>\n\n\n\n<li>We have another <strong>molecular generation<\/strong> paper got accepted by <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.cikm2022.org\/\" target=\"_blank\">CIKM 2022<\/a><\/strong>. It attempts to build an understandable embedding space for molecular generation.  <\/li>\n\n\n\n<li>We have two papers about <a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/recommendation-systems\/\">Recommendation Systems<\/a> got accepted by <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.cikm2022.org\/\" target=\"_blank\">CIKM 2022<\/a><\/strong>. <\/li>\n\n\n\n<li>Dr. Zhang is appointed as the <strong>Editor-in-Chief of <a href=\"https:\/\/kdd.org\/explorations\">ACM SIGKDD Explorations<\/a>.<\/strong> More at <a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/news\/\">News<\/a>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>May 2022\n<ul class=\"wp-block-list\">\n<li>Our work of <em>Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer<\/em>  is accepted by <a href=\"https:\/\/kdd.org\/kdd2022\/\" data-type=\"URL\" data-id=\"https:\/\/kdd.org\/kdd2022\/\"><strong>KDD 2022<\/strong><\/a>. Anther <strong>few-shot learning on graphs<\/strong> survey paper will appear in <strong><a href=\"https:\/\/ijcai-22.org\/\">IJCAI 2022<\/a><\/strong><\/li>\n\n\n\n<li>Our work of applying <strong>PU-learning on graph completion<\/strong>, <em>Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion<\/em> will also appear in <strong><a href=\"https:\/\/ijcai-22.org\/\">IJCAI 2022<\/a><\/strong><\/li>\n\n\n\n<li>More of our recent work on graph learning can be found at <a href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/learning-for-graphs-networks\/\" data-type=\"URL\" data-id=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/learning-for-graphs-networks\/\">Learning with Graphs<\/a>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>January 2022\n<ul class=\"wp-block-list\">\n<li>Our work of <em>Understanding the Robustness Against Evasion Attack on Categorical Data<\/em> is accepted by<a rel=\"noreferrer noopener\" href=\"https:\/\/openreview.net\/forum?id=BmJV7kyAmg\" target=\"_blank\"> <strong>ICLR 2022<\/strong><\/a>. More of our work in this topic can be found at <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/robustness-and-trustworthy-of-machine-learning-models\/\" target=\"_blank\">Robust and Trustworthy Machine Learning<\/a><\/strong><\/li>\n\n\n\n<li>Our work of <em>Graph Alignment with Noisy Supervision<\/em> is accepted by <strong>TheWebConf<\/strong> 2022. A related work of handling <strong>noisy labels in knowledge graph alignment<\/strong> can be found in our KDD 2020 paper, entitled <em>REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs<\/em>.  <\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>December 2021\n<ul class=\"wp-block-list\">\n<li>Our work of Self-Augmented Graph Contrastive Learning is accepted by <strong>AAAI 2022<\/strong>. More of our graph learning work can be found at <a rel=\"noreferrer noopener\" href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/learning-for-graphs-networks\/\" target=\"_blank\"><strong>Learning with Graphs\/<\/strong><\/a><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/sites.nd.edu\/xiangliang-zhang\/learning-for-graphs-networks\/\" target=\"_blank\">Networks<\/a><\/strong><\/li>\n\n\n\n<li>Our work of <em>GNN-Retro: <strong>Retrosynthetic planning<\/strong> with Graph Neural Networks<\/em> is accepted <strong>by AAAI 2022<\/strong>. This paper uses GNN to predict the synthesis routes for target molecules.  Another related work of molecular graph generation can be found in our CIKM 2021 paper, entitled <em>GF-VAE: A Flow-based Variational Autoencoder for <strong>Molecule Generation<\/strong><\/em>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em><mark style=\"background-color:#ffffff\" class=\"has-inline-color has-white-color\">I am looking for well-motivated&nbsp;Ph.D.&nbsp;students to work on machine learning and data mining problems. Please send me your CV if you are interested.  <\/mark><\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dr. Zhang is a Leonard C. Bettex Collegiate Professor of Computer Science at University of Notre Dame, where she is leading a Machine Intelligence and kNowledge Engineering (MINE) group. Her research broadly addresses ways that enable \u200bcomputer machines to\u200b learn by the use of diverse types of data.\u00a0Specifically, she is interested in designing trustworthy AI [&hellip;]<\/p>\n","protected":false},"author":4036,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-35","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages\/35","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/users\/4036"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/comments?post=35"}],"version-history":[{"count":87,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages\/35\/revisions"}],"predecessor-version":[{"id":1733,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages\/35\/revisions\/1733"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/media?parent=35"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}