PPaperPicks

Nitesh V. Chawla

University of Notre Dame, USA

52 papers at tracked venues · 33 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3932-5956 ↗Google Scholar ↗Homepage ↗

Venues

SIGKDD ×9CIKM ×6NeurIPS ×6ACL ×5IJCAI ×5ICML ×4WWW ×4AAAI ×3WSDM ×3ECML-PKDD ×2ICLR ×2CSCW ×1EMNLP ×1IUI ×1

Frequent coauthors

Xiangliang Zhang
×15
Yijun Tian
×10
Chuxu Zhang
×10
Nuno Moniz
×9
Yanfang Ye
×9
Olaf Wiest
×7
Zehong Wang
×7
Yue Huang
×6
Zheyuan Zhang
×6
Kehan Guo
×5
Xiaobao Huang
×4
Yujun Zhou
×4

Papers

  1. Adaptive and Context-rich Generative Self-supervised Learning on Graphs
    AAAI 2026 ·
    Yijun Tian
    ,
    Chuxu Zhang
    ,
    Ziyi Kou
    ,
    Zheyuan Liu
    ,
    Xiangliang Zhang
    , Nitesh V. Chawla
  2. Context Attribution with Multi-Armed Bandit Optimization
    ACL 2026 ·
    Deng Pan
    ,
    Keerthiram Murugesan
    ,
    Ting Hua
    ,
    Nuno Moniz
    , Nitesh V. Chawla
  3. Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models
    ACL 2026 ·
    Mateusz Bystronski
    ,
    Do Heon Han
    , Nitesh V. Chawla,
    Tomasz Jan Kajdanowicz
  4. CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?
    ACL 2026 ·
    Peiyu Li
    ,
    Xiaobao Huang
    ,
    Ting Hua
    , Nitesh V. Chawla
  5. From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews
    IUI 2026 ·
    Brenda Nogueira
    ,
    Werner Geyer
    ,
    Andrew A. Anderson
    ,
    Toby Jia-Jun Li
    ,
    Dongwhi Kim
    ,
    Nuno Moniz
    , Nitesh V. Chawla
  6. PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
    ACL 2026 ·
    Han Bao
    ,
    Penghao Zhang
    ,
    Yue Huang
    ,
    Zhengqing Yuan
    ,
    Yanchi Ru
    ,
    S. U. Rui
    ,
    Yujun Zhou
    ,
    Xiangqi Wang
    ,
    Kehan Guo
    , Nitesh V. Chawla,
    Yanfang Ye
    ,
    Xiangliang Zhang
  7. 8th Workshop on Machine Learning in Finance
    SIGKDD 2025 ·
    Saurabh Nagrecha
    ,
    Isha Chaturvedi
    ,
    Senthil Kumar
    , Nitesh V. Chawla,
    Mahashweta Das
    ,
    Daksha Yadav
    ,
    José A. Rodríguez-Serrano
    ,
    Eren Kurshan
  8. AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
    EMNLP 2025 ·
    Le Huy Khiem
    ,
    Ting Hua
    , Nitesh V. Chawla
  9. Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
    IJCAI 2025 ·
    Kehan Guo
    ,
    Yili Shen
    ,
    Gisela Abigail Gonzalez-Montiel
    ,
    Yue Huang
    ,
    Yujun Zhou
    ,
    Mihir Surve
    ,
    Zhichun Guo
    ,
    Payel Das
    , Nitesh V. Chawla,
    Olaf Wiest
    ,
    Xiangliang Zhang
  10. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
    NeurIPS 2025 ·
    Anna Sokol
    ,
    Elizabeth Daly
    ,
    Michael Hind
    ,
    David Piorkowski
    ,
    Xiangliang Zhang
    ,
    Nuno Moniz
    , Nitesh V. Chawla
  11. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
    WSDM 2025 ·
    Yijun Tian
    ,
    Yikun Han
    ,
    Xiusi Chen
    ,
    Wei Wang
    , Nitesh V. Chawla
  12. Beyond Message Passing: Neural Graph Pattern Machine
    ICML 2025 ·
    Zehong Wang
    ,
    Zheyuan Zhang
    ,
    Tianyi Ma
    , Nitesh V. Chawla,
    Chuxu Zhang
    ,
    Yanfang Ye
  13. ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
    NeurIPS 2025 ·
    Yue Huang
    ,
    Zhengzhe Jiang
    ,
    Xiaonan Luo
    ,
    Kehan Guo
    ,
    Haomin Zhuang
    ,
    Yujun Zhou
    ,
    Zhengqing Yuan
    ,
    Xiaoqi Sun
    ,
    Jules Schleinitz
    ,
    Yanbo Wang
    ,
    Shuhao Zhang
    ,
    Mihir Surve
    , Nitesh V. Chawla,
    Olaf Wiest
    ,
    Xiangliang Zhang
  14. Fast Explanations via Policy Gradient-Optimized Explainer
    IJCAI 2025 ·
    Deng Pan
    ,
    Nuno Moniz
    , Nitesh V. Chawla
  15. Graph Foundation Models: Challenges, Methods, and Open Questions
    SIGKDD 2025 ·
    Zehong Wang
    ,
    Chuxu Zhang
    ,
    Jundong Li
    , Nitesh V. Chawla,
    Yanfang Ye
  16. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
    ICLR 2025 ·
    Jiayi Ye
    ,
    Yanbo Wang
    ,
    Yue Huang
    ,
    Dongping Chen
    ,
    Qihui Zhang
    ,
    Nuno Moniz
    ,
    Tian Gao
    ,
    Werner Geyer
    ,
    Chao Huang
    ,
    Pin-Yu Chen
    , Nitesh V. Chawla,
    Xiangliang Zhang
  17. Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities
    IJCAI 2025 ·
    Grigorii Khvatskii
    ,
    Angélica García-Martínez
    ,
    Deng Pan
    ,
    Matthew Belcher
    ,
    Gerónimo Medrano Loera
    ,
    Dayana Pineda Pérez
    ,
    Juan Emmanuel Ferrari Muñoz-Ledo
    ,
    Horacio Márquez-González
    ,
    Nuno Moniz
    , Nitesh V. Chawla
  18. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
    SIGKDD 2025 ·
    Zheyuan Zhang
    ,
    Zehong Wang
    ,
    Tianyi Ma
    ,
    Varun Sameer Taneja
    ,
    Sofia Nelson
    ,
    Nhi Ha Lan Le
    ,
    Keerthiram Murugesan
    ,
    Mingxuan Ju
    , Nitesh V. Chawla,
    Chuxu Zhang
    ,
    Yanfang Ye
  19. NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
    ACL 2025 ·
    Zheyuan Zhang
    ,
    Yiyang Li
    ,
    Nhi Ha Lan Le
    ,
    Zehong Wang
    ,
    Tianyi Ma
    ,
    Vincent Galassi
    ,
    Keerthiram Murugesan
    ,
    Nuno Moniz
    ,
    Werner Geyer
    , Nitesh V. Chawla,
    Chuxu Zhang
    ,
    Yanfang Ye
  20. Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions
    CIKM 2025 ·
    Kehan Guo
    ,
    Zhen Liu
    ,
    Zhichun Guo
    ,
    Bozhao Nan
    ,
    Olexandr Isayev
    , Nitesh V. Chawla,
    Olaf Wiest
    ,
    Xiangliang Zhang
  21. Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices
    CIKM 2025 ·
    Yue Huang
    ,
    Canyu Chen
    ,
    Lu Cheng
    ,
    Bhavya Kailkhura
    , Nitesh V. Chawla,
    Xiangliang Zhang
  22. Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models
    CIKM 2025 ·
    Chujie Gao
    ,
    Yue Huang
    ,
    Xiangqi Wang
    ,
    Siyuan Wu
    , Nitesh V. Chawla,
    Xiangliang Zhang
  23. Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
    ICML 2025 ·
    Zehong Wang
    ,
    Zheyuan Zhang
    ,
    Tianyi Ma
    , Nitesh V. Chawla,
    Chuxu Zhang
    ,
    Yanfang Ye
  24. Transaction Categorization with Relational Deep Learning in QuickBooks
    ECML-PKDD 2025 ·
    Kaiwen Dong
    ,
    Padmaja Jonnalagedda
    ,
    Xiang Gao
    ,
    Ayan Acharya
    ,
    Maria Kissa
    ,
    Mauricio Flores
    , Nitesh V. Chawla,
    Kamalika Das
  25. Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives
    WSDM 2025 ·
    Anna Sokol
    ,
    Matthew L. Sisk
    ,
    Josefina Echavarría Alvarez
    , Nitesh V. Chawla
  26. What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
    IJCAI 2025 ·
    Jonathan A. Karr Jr.
    ,
    Emory Smith
    ,
    Matthew Hauenstein
    ,
    Georgina Curto
    , Nitesh V. Chawla
  27. WildInsight: a Chatbot for Wildlife Conservation Research
    ECML-PKDD 2025 ·
    Anna Sokol
    ,
    Xiangliang Zhang
    , Nitesh V. Chawla
  28. WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights
    WSDM 2025 ·
    Xiangqi Wang
    ,
    Tianyu Yang
    ,
    Jason R. Rohr
    ,
    Brett Scheffers
    , Nitesh V. Chawla,
    Xiangliang Zhang
  29. A Survey of Large Language Models for Graphs
    SIGKDD 2024 ·
    Xubin Ren
    ,
    Jiabin Tang
    ,
    Dawei Yin
    , Nitesh V. Chawla,
    Chao Huang
  30. AnyLoss: Transforming Classification Metrics into Loss Functions
    SIGKDD 2024 ·
    Do Heon Han
    ,
    Nuno Moniz
    , Nitesh V. Chawla
  31. Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning
    CIKM 2024 ·
    Xiaobao Huang
    ,
    Mihir Surve
    ,
    Yuhan Liu
    ,
    Tengfei Luo
    ,
    Olaf Wiest
    ,
    Xiangliang Zhang
    , Nitesh V. Chawla
  32. Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective
    WWW 2024 ·
    Yihong Ma
    ,
    Xiaobao Huang
    ,
    Bozhao Nan
    ,
    Nuno Moniz
    ,
    Xiangliang Zhang
    ,
    Olaf Wiest
    , Nitesh V. Chawla
  33. Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
    NeurIPS 2024 ·
    Kehan Guo
    ,
    Bozhao Nan
    ,
    Yujun Zhou
    ,
    Taicheng Guo
    ,
    Zhichun Guo
    ,
    Mihir Surve
    ,
    Zhenwen Liang
    , Nitesh V. Chawla,
    Olaf Wiest
    ,
    Xiangliang Zhang
  34. Can we Soft Prompt LLMs for Graph Learning Tasks?
    WWW 2024 ·
    Zheyuan Liu
    ,
    Xiaoxin He
    ,
    Yijun Tian
    , Nitesh V. Chawla
  35. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
    CIKM 2024 ·
    Peiyu Li
    ,
    Xiaobao Huang
    ,
    Yijun Tian
    , Nitesh V. Chawla
  36. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
    SIGKDD 2024 ·
    Zheyuan Zhang
    ,
    Zehong Wang
    ,
    Shifu Hou
    ,
    Evan Hall
    ,
    Landon Bachman
    ,
    Jasmine White
    ,
    Vincent Galassi
    , Nitesh V. Chawla,
    Chuxu Zhang
    ,
    Yanfang Ye
  37. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
    NeurIPS 2024 ·
    Xiaoxin He
    ,
    Yijun Tian
    ,
    Yifei Sun
    , Nitesh V. Chawla,
    Thomas Laurent
    ,
    Yann LeCun
    ,
    Xavier Bresson
    ,
    Bryan Hooi
  38. GFT: Graph Foundation Model with Transferable Tree Vocabulary
    NeurIPS 2024 ·
    Zehong Wang
    ,
    Zheyuan Zhang
    , Nitesh V. Chawla,
    Chuxu Zhang
    ,
    Yanfang Ye
  39. Graph Cross Supervised Learning via Generalized Knowledge
    SIGKDD 2024 ·
    Xiangchi Yuan
    ,
    Yijun Tian
    ,
    Chunhui Zhang
    ,
    Yanfang Ye
    , Nitesh V. Chawla,
    Chuxu Zhang
  40. Graph Neural Prompting with Large Language Models
    AAAI 2024 ·
    Yijun Tian
    ,
    Huan Song
    ,
    Zichen Wang
    ,
    Haozhu Wang
    ,
    Ziqing Hu
    ,
    Fang Wang
    , Nitesh V. Chawla,
    Panpan Xu
  41. HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
    WWW 2024 ·
    Yihong Ma
    ,
    Ning Yan
    ,
    Jiayu Li
    ,
    Masood S. Mortazavi
    , Nitesh V. Chawla
  42. Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)
    AAAI 2024 ·
    Martin Michalowski
    ,
    Robert Moskovitch
    , Nitesh V. Chawla
  43. Large Language Model Based Multi-agents: A Survey of Progress and Challenges
    IJCAI 2024 ·
    Taicheng Guo
    ,
    Xiuying Chen
    ,
    Yaqi Wang
    ,
    Ruidi Chang
    ,
    Shichao Pei
    , Nitesh V. Chawla,
    Olaf Wiest
    ,
    Xiangliang Zhang
  44. Large Language Models for Graphs: Progresses and Directions
    WWW 2024 ·
    Chao Huang
    ,
    Xubin Ren
    ,
    Jiabin Tang
    ,
    Dawei Yin
    , Nitesh V. Chawla
  45. Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
    ICML 2024 ·
    Lirong Wu
    ,
    Yijun Tian
    ,
    Haitao Lin
    ,
    Yufei Huang
    ,
    Siyuan Li
    , Nitesh V. Chawla,
    Stan Z. Li
  46. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
    ICLR 2024 ·
    Lirong Wu
    ,
    Yijun Tian
    ,
    Yufei Huang
    ,
    Siyuan Li
    ,
    Haitao Lin
    , Nitesh V. Chawla,
    Stan Z. Li
  47. Machine Learning in Finance
    SIGKDD 2024 ·
    Leman Akoglu
    , Nitesh V. Chawla,
    Josep Domingo-Ferrer
    ,
    Eren Kurshan
    ,
    Senthil Kumar
    ,
    Vidyut M. Naware
    ,
    José A. Rodríguez-Serrano
    ,
    Isha Chaturvedi
    ,
    Saurabh Nagrecha
    ,
    Mahashweta Das
    ,
    Tanveer A. Faruquie
  48. Pure Message Passing Can Estimate Common Neighbor for Link Prediction
    NeurIPS 2024 ·
    Kaiwen Dong
    ,
    Zhichun Guo
    , Nitesh V. Chawla
  49. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
    SIGKDD 2024 ·
    Chuxu Zhang
    ,
    Dongkuan Xu
    ,
    Kaize Ding
    ,
    Jundong Li
    ,
    Mojan Javaheripi
    ,
    Subhabrata Mukherjee
    , Nitesh V. Chawla,
    Huan Liu
  50. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 ·
    Guancheng Wan
    ,
    Yijun Tian
    ,
    Wenke Huang
    , Nitesh V. Chawla,
    Mang Ye
  51. SaludConectaMX: Lessons Learned from Deploying a Cooperative Mobile Health System for Pediatric Cancer Care in Mexico
    CSCW 2024 ·
    Jennifer J. Schnur
    ,
    Angélica García-Martínez
    ,
    Patrick Soga
    ,
    Karla Badillo-Urquiola
    ,
    Alejandra J. Botello
    ,
    Ana Calderon Raisbeck
    ,
    Sugana Chawla
    ,
    Josef Ernst
    ,
    William Gentry
    ,
    Richard P. Johnson
    ,
    Michael Kennel
    ,
    Jesús Robles
    ,
    Madison Wagner
    ,
    Elizabeth Medina
    ,
    Juan Garduño Espinosa
    ,
    Horacio Márquez-González
    ,
    Victor Olivar-López
    ,
    Luis E. Juárez-Villegas
    ,
    Martha Avilés-Robles
    ,
    Elisa Dorantes-Acosta
    ,
    Viridia Avila
    ,
    Gina Chapa-Koloffon
    ,
    Elizabeth Cruz
    ,
    Leticia Luis
    ,
    Clara Quezada
    ,
    Emanuel Orozco
    ,
    Edson Serván-Mori
    ,
    Martha Cordero
    ,
    Rubén Martín Payo
    , Nitesh V. Chawla
  52. Traversing the Journey of Data and AI: From Convergence to Translation
    CIKM 2024 · Nitesh V. Chawla