CONFERENCES
[UAI23] Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, and Qi Li. Optimal Budget Allocation for Crowdsourcing Labels for Graphs. Proc. of Uncertainty in Artificial Intelligence (UAI'23), 2023.
[ACL23] Mohna Chakraborty, Adithya Kulkarni, and Qi Li. Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. Proc. of 61st Annual Meeting of the Association for Computational Linguistics (ACL'23), 2023.
[ICASSP23] Yonas Sium, Georgios Kollias, Tsuyoshi Ide´, Payel Das, Naoki Abe, Aurelie Lozano, and Qi Li. Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks, Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23), 2023.
[PAKDD23] Qiao Qiao, Yuepei Li, Kang Zhou, and Qi Li. Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion, Proc. of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'23), 2023.
[AAAI23]Kang Zhou, Qiao Qiao, Yuepei Li, and Qi Li. Improving Distantly Supervised Relation Extraction by Natural Language Inference, Proc. of AAAI, 2023. [paper]
[KDD22]Mohna Chakraborty, Adithya Kulkarni and Qi Li, Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction, Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD'22), 2022. [paper][code]
[KDD22]Ying Wei and Qi Li, SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss, Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD'22), 2022. [paper][code]
[ACL22] Kang Zhou, Yuepei Li, and Qi Li, Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning. Proc. of 60th Annual Meeting of the Association for Computational Linguistics (ACL'22), 2022. [paper] [code]
[SDM22] Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, and Qi Li, CPTAM: Constituency Parse Tree Aggregation Method. Proc. of 2022 SIAM Int. Conf. on Data Mining (SDM'22), 2022.
[ICDM21] Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, and Qi Li, Truth Discovery in Sequence Labels from Crowds. Proc. of 2021 IEEE Int. Conf. on Data Mining (ICDM’21), 2021.
[WebConf21] Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian and Jia Liu, Data Poisoning Attacks and Defenses to Crowdsourcing Systems. Proc. of the Web Conference 2021.
[BIBM20]Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, and Jiawei Han, Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. Proc. 2020 IEEE Int. Conf. on Bioinformatics and Biomedicine (BIBM'20). [paper]
[BigData20] Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, and Jiawei Han. Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. Proc. of IEEE BigData'20, 2020.
[BigData20] Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, and Jiawei Han. Pattern-enhanced Named Entity Recognition with Distant Supervision. Proc. of IEEE BigData'20, 2020.
[EMNLP20] Nasim Sabetpour, Adithya Kulkarni and Qi Li. OptSLA: an Optimization-Based Approach for Sequential Label Aggregation. EMNLP'20 Findings, 2020. [code]
[ACL20]Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Cau eld, Peipei Ping and Jiawei Han. EVIDENCEMINER: TextualEvidence Discovery for Life Sciences. Proc. of 2020 Annual Conf. of the Association for Computational Linguistics (ACL'20) [System demo][paper], 2020.
[BIBM19] Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, and Jiawei Han. Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. Proc. 2019 Int. Conf. on Bioinformatics and Biomedicine (BIBM’19).
[ICDM19] Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, and Jiawei Han. HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. Proc. of 2019 IEEE Int. Conf. on Data Mining (ICDM’19).
[EDM19] Tianqi Wang, Qi Li, Jing Gao, Xia Jing, and Jie Tang. Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. Proc. of the 12th International Conference on Educational Data Mining (EDM 2019).
[BIBM18A] Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy Wu, and Jiawei Han. Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. Proc. 2018 Int. Conf. on Bioinformatics and Biomedicine (BIBM’18). (Acceptance Rate: 19.6%). [slides]
[BIBM18B] Xuan Wang, Yu Zhang, Qi Li, Cathy Wu, and Jiawei Han. PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. Proc. 2018 Int. Conf. on Bioinformatics and Biomedicine (BIBM'18). (Acceptance Rate: 19.6%). [slides]
[ICDM18] Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, and Jiawei Han. Dynamic Truth Discovery on Numerical Data. Proc of 2018 IEEE Int. Conf. on Data Mining (ICDM'18).
[BCB18] Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, and Jiawei Han. Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. Proc. of ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB'18).
[KDD18A] Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy Hanratty, Jing Gao and Jiawei Han. TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18). (Acceptance Rate: 18%. Long talk: 10%).[Slide][vedio][code]
[KDD18B]Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin and Kui Ren. An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18). (Acceptance Rate: 18%. Long talk: 10%).
[ICDCS18] Wenjun Jiang, Qi Li, Lu Su, Chenglin Miao, Quanquan Gu, and Wenyao Xu. Towards Personalized Learning in Mobile Sensing Systems. Proc. of IEEE International Conference on Distributed Computing Systems (ICDCS'18). (Acceptance Rate: 20%).
[MobiHoc18] Chenglin Miao, Qi Li, Lu Su, Houping Xiao, Wenjun Jiang, and Mengdi Huai. Towards Data Poisoning Attacks in Crowd Sensing Systems. Proc. of ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc'18). (Best Paper Award Nominee)
[WWW18] Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang and Jing Gao. Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing. Proc. of International World Wide Web Conference (WWW'18). (Acceptance Rate: 14.8%)
[SDM18] Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Jing Gao, and Aidong Zhang. Online Truth Discovery on Time Series Data. Proc. of SIAM International Conference on Data Mining (SDM'18). (Acceptance Rate: 23.2%)
[KDD17] Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, and Aidong Zhang. Unsupervised Discovery of Drug Side-Effects From Heterogeneous Data Sources. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’17).
[WSDM17] Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, and Huan Sun. Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. Proc. of ACM International Conference on Web Search and Data Mining (WSDM'17). (Acceptance Rate: 16%)
[CIKM16] Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, and Lu Su. Influence-Aware Truth Discovery. Proc. of ACM International Conference on Information and Knowledge Management (CIKM'16). (Acceptance Rate: 165/935 = 17.6% for long paper)
[KDD16] Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, and Aidong Zhang. Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’16).
[WSDM16] Qi Li, Fenglong Ma, Jing Gao, Lu Su, and Christopher J. Quinn. Crowdsourcing High Quality Labels with a Tight Budget. Proc. of ACM International Conference on Web Search and Data Mining (WSDM'16). (Acceptance Rate: 18.2%. Long talk: 5.4%) [PPT]
[KDD15A] Fenglong Ma, Yaliang Li, Qi Li, Minghui Qui, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, and Jiawei Han. FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’15). (Acceptance Rate: 159/819 = 19.4%)
[KDD15B] Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, and Jiawei Han. On the Discovery of Evolving Truth. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’15). (Acceptance Rate: 159/819 = 19.4%)
[VLDB15] Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, and Jiawei Han. A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. Proc. of the VLDB Endowment (PVLDB'15). (Acceptance Rate: 21.3%) [PPT][code&data]
[RTSS14] Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, and others. Generalized Decision Aggregation in Distributed Sensing Systems. Proc. of the IEEE Real-Time Systems Symposium (RTSS'14). (Acceptance Rate: 33/154 = 21.4%)
[SIGMOD14] Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, and Jiawei Han. Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation. Proc. of the ACM SIGMOD International Conference on Management of Data (SIGMOD'14). (Acceptance Rate: 107/419 = 25.5%) [PPT][code&data]
[IAAI14] Bahadir Aydin, Yavuz Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas. Crowdsourcing for Multiple-Choice Question Answering. Proc. of Annual Conference on Innovative Applications of Artificial Intelligence (IAAI'14).
JOURNALS
[KAIS] Chen Ye, Qi Li, Hengtong Zhang, Hongzhi Wang, Jing Gao, and Jianzhong Li. AutoRepair: An Automatic Repairing Approach over Multi-Source Data. Knowledge and Information Systems (KAIS) journal, to appear.
[TKDE] Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, and Aidong Zhang. Towards Confidence Interval Estimation in Truth Discovery. IEEE Transactions on Knowledge and Data Engineering, 2018
[TPDS] Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, and Lance Kaplan. Towards Quality Aware Information Integration in Distributed Sensing Systems. IEEE Transactions on Parallel and Distributed Systems, 2017.
[TBD] Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, and Hao Wu. Extracting Medical Knowledge from Crowdsourced Question Answering Website. IEEE Transactions on Big Data, 2016.
[TKDE] Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, and Jiawei Han. Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Transactions on Knowledge and Data Engineering, 28(8): 1986 - 1999, 2016. (Joint first author with Yaliang Li)
[SURVEY] Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han. A Survey on Truth Discovery. SIGKDD Explorations, 17(12): 1-16, December 2015.
TUTORIALS
[BigData] Xuan Wang, Yu Zhang, Qi Li, Jiawei Han. Taming Unstructured Big Data: Automated Information Extraction from Massive Text. IEEE BigData'19 tutorial.
[CIKM16] Jing Gao, Qi Li, and Wei Fan. Truth Discovery for Passive and Active Crowdsourcing. CIKM’16 tutorial.
[KDD16] Jing Gao, Qi Li, Bo Zhao, Wei Fan, and Jiawei Han. Enabling the Discovery of Reliable Information from Passively and Actively Crowdsourced Data. KDD’16 tutorial.
[SDM16] Jing Gao, Qi Li, Bo Zhao, Wei Fan, and Jiawei Han. Towards Veracity Challenge in Big Data. SDM’16 tutorial.
[VLDB15] Jing Gao, Qi Li, Bo Zhao, Wei Fan, and Jiawei Han. Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective. VLDB’15 tutorial.
BOOK CHAPTER
[DCAA14] Yaliang Li, Jing Gao, Qi Li, and Wei Fan. Ensemble Learning. In Charu C. Aggarwal (Eds.), Data Classification: Algorithms and Applications, CRC Press, July 2014.