Dynamic Term Rewriting Calculus and Its Application to Inductive Equational Reasoning. - Su Feng; Toshiki Sakabe; Yasuyoshi Inagaki (DISCO, 1993)

Mechanizing Explicit Inductive Equational Reasoning by DTRC. - Su Feng; Toshiki Sakabe; Yasuyoshi Inagaki (IEICE Trans. Inf. Syst., 1995)

Mechanizing Weakly Ground Termination Proving of Term Rewriting Systems by Structural and Cover-Set Inductions. - Su Feng (J. Comput. Sci. Technol., 2005)

A study on general e-government operation and maintenance model. - Wensheng Yang; Yuanrong Xin; Su Feng (ICEGOV, 2011)

Debugging Transactions and Tracking their Provenance with Reenactment. - Xing Niu 002; Bahareh Sadat Arab; Seokki Lee; Su Feng; Xun Zou; Dieter Gawlick; Vasudha Krishnaswamy; Zhen Hua Liu; Boris Glavic (Proc. VLDB Endow., 2017)

GProM - A Swiss Army Knife for Your Provenance Needs. - Bahareh Sadat Arab; Su Feng; Boris Glavic; Seokki Lee; Xing Niu 002; Qitian Zeng (IEEE Data Eng. Bull., 2018)

Data Debugging and Exploration with Vizier. - Mike Brachmann; Carlos Bautista; Sonia Castelo; Su Feng; Juliana Freire; Boris Glavic; Oliver Kennedy; Heiko Mueller 001; Rémi Rampin; William Spoth; Ying Yang 005 (SIGMOD Conference, 2019)

Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers. - Su Feng; Aaron Huber; Boris Glavic; Oliver Kennedy (SIGMOD Conference, 2019)

Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers (extended version). - Su Feng; Aaron Huber; Boris Glavic; Oliver Kennedy (CoRR, 2019)

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension. - Chao Yang 015; Guoqing Wang; Dongsheng Li 002; Huawei Shen; Su Feng; Bin Jiang 006 (CoRR, 2020)

DataSense: Display-Agnostic Data Documentation. - Poonam Kumari; Mike Brachmann; Su Feng; Oliver Kennedy; Boris Glavic (CIDR, 2021)

Learning Content and Context with Language Bias for Visual Question Answering. - Chao Yang 015; Su Feng; Dongsheng Li 002; Huawei Shen; Guoqing Wang; Bin Jiang 006 (ICME, 2021)

Multimodal Product Identification: Submission to Watch and Buy 2021 Challenge. - Jun Peng; Su Feng; Ya Wang; Haowen Hou; Fengzong Lian; Zhanhui Kang (WAB @ ACM Multimedia, 2021)

Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds. - Su Feng; Boris Glavic; Aaron Huber; Oliver A. Kennedy (SIGMOD Conference, 2021)

Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds (extended version). - Su Feng; Aaron Huber; Boris Glavic; Oliver Kennedy (CoRR, 2021)

LPGN: Language-Guided Proposal Generation Network for Referring Expression Comprehension. - Guoqing Wang; Chao Yang 015; Su Feng; Bin Jiang 006 (ICME, 2022)

Computing expected multiplicities for bag-TIDBs with bounded multiplicities. - Su Feng; Boris Glavic; Aaron Huber; Oliver Kennedy; Atri Rudra (CoRR, 2022)

Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data (Extended version). - Su Feng; Boris Glavic; Oliver Kennedy (CoRR, 2023)

Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data. - Su Feng; Boris Glavic; Oliver Kennedy (Proc. VLDB Endow., 2023)

Learning from Uncertain Data: From Possible Worlds to Possible Models. - Jiongli Zhu; Su Feng; Boris Glavic; Babak Salimi (NeurIPS, 2024)

FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds. - Aaron Huber; Oliver Kennedy; Atri Rudra; Zhuoyue Zhao 001; Su Feng; Boris Glavic (Proc. ACM Manag. Data, 2025)