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ORCIDZifeng Wang 0008
Person information
- unicode name: 王子丰
- affiliation: University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- affiliation: Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen, China
- affiliation: Tongji University, College of Civil Engineering, Shanghai, China
Other persons with the same name
- Zifeng Wang (aka: Zi-Feng Wang) — disambiguation page
- Zifeng Wang 0001 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Zifeng Wang 0002
![[0000-0002-0068-9042]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0068-9042")
— Google Cloud AI Research, Mountain View, CA, USA (and 1 more) - Zifeng Wang 0003 — University of Science and Technology of China, Special Class for the Gifted Young, Hefei, China
- Zifeng Wang 0004 — Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China (and 1 more)
- Zifeng Wang 0005 — Sun Yat-sen University, School of Life Science, Laboratory of Integrated Biosciences, Guangzhou, China
- Zifeng Wang 0006 — Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more)
- Zifeng Wang 0007 — Wuhan University, LIESMARS, China
- Zifeng Wang 0009 — Australian National University, Canberra, Australia
- Zifeng Wang 0011 — North China University of Technology, School of Electrical and Control Engineering, China
- Zifeng Wang 0012 — Wuhan University, School of Physics and Technology / School of Microelectronics, China
- Zifeng Wang 0013 — University of Shanghai for Science and Technology, School of Health Science and Engineering, China
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2020 – today
- 2025
[i31]Zifeng Wang, Lang Cao, Qiao Jin, Joey Chan, Nicholas Wan, Behdad Afzali, Hyun-Jin Cho, Changin Choi, Mehdi Emamverdi, Manjot K. Gill, Sun-Hyung Kim, Yijia Li, Yi Liu, Hanley Ong, Justin F. Rousseau, Irfan Sheikh, Jenny J. Wei, Ziyang Xu, Christopher M. Zallek, Kyungsang Kim, Yifan Peng, Zhiyong Lu, Jimeng Sun:
A foundation model for human-AI collaboration in medical literature mining. CoRR abs/2501.16255 (2025)- [i30]Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han:
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. CoRR abs/2503.00223 (2025) - 2024
- [c20]Yilin Wen, Zifeng Wang, Jimeng Sun:
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. ACL (1) 2024: 10370-10388 - [c19]Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai:
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR 2024 - [c18]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. IJCAI 2024: 6062-6070 - [c17]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. NAACL-HLT 2024: 609-621 - [c16]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT 2024: 2805-2819 - [c15]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT 2024: 2820-2837 - [i29]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. CoRR abs/2401.15770 (2024) - [i28]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR abs/2402.10744 (2024) - [i27]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR abs/2403.10351 (2024) - [i26]Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun:
Accelerating Clinical Evidence Synthesis with Large Language Models. CoRR abs/2406.17755 (2024) - [i25]Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun:
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment. CoRR abs/2407.11007 (2024) - [i24]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - [i23]Zifeng Wang, Benjamin P. Danek, Ziwei Yang, Zheng Chen, Jimeng Sun:
Can Large Language Models Replace Data Scientists in Clinical Research? CoRR abs/2410.21591 (2024) - [i22]Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun:
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. CoRR abs/2411.00024 (2024) - [i21]Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason G. Mezey, Jimeng Sun:
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning. CoRR abs/2411.07317 (2024) - 2023
- [c14]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB 2023: 53:1-53:11 - [c13]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. EMNLP 2023: 12461-12472 - [c12]Trisha Das, Zifeng Wang, Jimeng Sun:
TWIN: Personalized Clinical Trial Digital Twin Generation. KDD 2023: 402-413 - [i20]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. CoRR abs/2304.05352 (2023) - [i19]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. CoRR abs/2305.11366 (2023) - [i18]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
AnyPredict: Foundation Model for Tabular Prediction. CoRR abs/2305.12081 (2023) - [i17]Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun:
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. CoRR abs/2306.04018 (2023) - [i16]Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu:
Matching Patients to Clinical Trials with Large Language Models. CoRR abs/2307.15051 (2023) - [i15]Yilin Wen, Zifeng Wang, Jimeng Sun:
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. CoRR abs/2308.09729 (2023) - [i14]Tao Feng, Zifeng Wang, Jimeng Sun:
CITING: Large Language Models Create Curriculum for Instruction Tuning. CoRR abs/2310.02527 (2023) - [i13]Ruiyu Wang, Zifeng Wang, Jimeng Sun:
UniPredict: Large Language Models are Universal Tabular Predictors. CoRR abs/2310.03266 (2023) - 2022
- [j2]Zifeng Wang, Yuyang Zhang, Khalid M. Mosalam, Yuqing Gao, Shao-Lun Huang:
Deep semantic segmentation for visual understanding on construction sites. Comput. Aided Civ. Infrastructure Eng. 37(2): 145-162 (2022) - [c11]Zifeng Wang, Jimeng Sun:
SurvTRACE: transformers for survival analysis with competing events. BCB 2022: 49:1-49:9 - [c10]Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. COLING 2022: 2639-2650 - [c9]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. EMNLP 2022: 2873-2885 - [c8]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. EMNLP 2022: 3876-3887 - [c7]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. EMNLP (Findings) 2022: 6377-6390 - [c6]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c5]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. NeurIPS 2022 - [i12]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. CoRR abs/2205.09328 (2022) - [i11]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. CoRR abs/2206.14719 (2022) - [i10]Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun:
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR abs/2209.09023 (2022) - [i9]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. CoRR abs/2210.10163 (2022) - [i8]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. CoRR abs/2211.01761 (2022) - 2021
- [c4]Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning Based Disease Diagnosis on Clinical Notes. PAKDD (1) 2021: 213-224 - [c3]Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. WWW 2021: 3349-3358 - [i7]Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning based Disease Diagnosis on Clinical Notes. CoRR abs/2103.00165 (2021) - [i6]Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. CoRR abs/2109.14509 (2021) - [i5]Zifeng Wang, Jimeng Sun:
SurvTRACE: Transformers for Survival Analysis with Competing Events. CoRR abs/2110.00855 (2021) - 2020
- [j1]Zifeng Wang, Suzhen Li:
Data-driven risk assessment on urban pipeline network based on a cluster model. Reliab. Eng. Syst. Saf. 196: 106781 (2020) - [c2]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI 2020: 6340-6347 - [c1]Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. NeurIPS 2020 - [i4]Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. CoRR abs/2009.02623 (2020) - [i3]Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. CoRR abs/2009.02625 (2020) - [i2]Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. CoRR abs/2009.09841 (2020)
2010 – 2019
- 2019
- [i1]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR abs/1912.01321 (2019)
Coauthor Index
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