Yizhu Jiao

Ph.D. Candidate University of Illinois Urbana-Champaign Siebel School of Computing and Data Science Email: yizhuj2 [at] illinois.edu Address: 506 S. Wright St. Urbana, IL, US

Short Bio

I am a third-year Ph.D. student in Prof. Jiawei Han’s Data Mining Group (DMG) at University of Illinois Urbana-Champaign. Previously, I obtained my Master degree at Fudan University in China. Currently, my research focuses on natural language understanding to build knowledge-aware intelligent systems and facilitate human-computer interaction with data analysis. In particular, I am excited about the following topics:

• Large Language Model Alignment: align large language models with user-generated instructions to enhance the responsiveness of AI systems.

• Executable Language Grounding: ground language instructions into code or actions executable in real-world environments.

• On-Demand Information Seeking: create models capable of on-the-fly adaptation to seek structured information as demanded by users.

Education Experience

• 2022 - present. Ph.D., Computer Science, University of Illinois at Urbana-Champaign, US

• 2018 - 2021. M.S., Software Engineering, Fudan University, China

• 2014 - 2018. B.S., Computer Science and Technology, East China Normal University, China

Publications

• Multi-LoRA Composition for Image Generation

  Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

  Transactions on Machine Learning Research (TMLR)

• MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

  Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun

  38th Conference on Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS D&B Track 2024 (Spotlight))

• Text2DB: Integration-Aware Information Extraction with Large Language Model Agents

  Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han

  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings)

• ProCom: Few-shot Targeted Community Detection Algorithm

  Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang

  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)

• Automated Mining of Structured Knowledge from Text in the Era of Large Language Models

  Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han

  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024 Tutorial)

• Instruct and Extract: Instruction Tuning for On-Demand Information Extraction

  Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han

  2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

• The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions

  Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han

  2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

• Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data

  Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin Burke, Huimin Zhao, Jiawei Han

  2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Demo)

• Dual Intents Graph Modeling for User-centric Group Discovery

  Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang

  ACM International Conference on Information and Knowledge Management (CIKM 2023)

• Dynamic Graph Representation Learning with Structure Learning

  Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu

  ACM International Conference on Information and Knowledge Management (CIKM 2023)

• ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision

  Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han

  Findings of Association for Computational Linguistics (ACL 2023 Findings)

• Unsupervised Event Chain Mining from Multiple Documents

  Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han

  ACM Web Conference (WWW 2023)

• ConsRec: Learning Consensus Behind Interactions for Group Recommendation

  Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip Yu

  ACM Web Conference (WWW 2023)

• Open-Vocabulary Argument Role Prediction for Event Extraction

  Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han

  Findings of 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)

• Towards a Unified Multi-Dimensional Evaluator for Text Generation

  Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han

  2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

• Unsupervised Multi-Granularity Summarization

  Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

  Findings of 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)

• CLARE: A Semi-Supervised Community Detection Algorithm

  Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S Yu

  28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)

• Resin-11: Schema-Guided Event Prediction for 11 Newsworthy Scenarios

  Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji

  2022 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations (NAACL 2022 Demo)

• Scalable Self-Supervised Graph Representation Learning via Enhancing and Contrasting Subgraphs

  Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu

  Knowledge and Information Systems (KAIS, 2022)

• Triangle Graph Interest Network for Click-through Rate Prediction

  Wensen Jiang*, Yizhu Jiao*, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu

  15th ACM International Conference on Web Search and Data Mining (WSDM 2022)

• Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

  Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu

  20th IEEE International Conference on Data Mining (ICDM 2020)

  Best Student Paper Runner-Up Award

• CommDGI: Community Detection Oriented Deep Graph Infomax

  Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu

  29th ACM International Conference on Information and Knowledge Management (CIKM 2020)

• Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention

  Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu

  28th ACM International Conference on Information and Knowledge Management (CIKM 2019)

Awards and Honors

• Best Reviewer Award, KDD 2023

• Best Student Paper Runner-Up Award, ICDM 2020