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ORCIDDi Wang 0053
Person information
- affiliation: University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- affiliation: University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Di Wang — disambiguation page
- Di Wang 0001 — Khalifa University, EBTIC, Abu Dhabi, UAE (and 2 more)
- Di Wang 0002 — Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, Boca Raton, FL, USA
- Di Wang 0003
![[0000-0001-8003-9738]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-8003-9738")
— Microsoft Research, Redmond, WA, USA (and 1 more) - Di Wang 0004 — Nanyang Technological University, School of Computer Engineering / Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly, Singapore
- Di Wang 0005 — Google Research, Mountain View, CA, USA (and 1 more)
- Di Wang 0006 — Xi'an Jiaotong University, School of Software Engineering, China (and 1 more)
- Di Wang 0007 — Macquarie University, Department of Computing, Sydney, NSW, Australia (and 1 more)
- Di Wang 0008 — Xi'an Jiaotong University, School of Management, Center for Intelligent Decision-Making and Machine Learning, China (and 2 more)
- Di Wang 0009 — Northeast Petroleum University, School of Electrical Information Engineering, Daqing, China
- Di Wang 0010 — Southeast University, Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing, China
- Di Wang 0011 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Di Wang 0012 — University of Michigan, College of Engineering, Ann Arbor, MI, USA (and 1 more)
- Di Wang 0013 — University of Southampton, Southampton Business School, UK
- Di Wang 0014 — Peking University, Institute of Population Research, Beijing, China
- Di Wang 0015 — King Abdullah University of Science and Technology (KAUST), Saudi Arabia (and 1 more)
- Di Wang 0016 — Beijing Institute of Technology, China
- Di Wang 0017 — Peking University, Beijing, China (and 1 more)
- Di Wang 0018 — Dalian University of Technology, School of Software Technology, Dalian, Liaoning, China
- Di Wang 0019 — Shanghai Jiao Tong University, School of Mechanical Engineering, Department of Industrial Engineering and Management, Shanghai, China
- Di Wang 0020 — Texas A&M University, Computer Science and Engineering Department, College Station, TX, USA
- Di Wang 0021 — University of Canterbury, Christchurch, New Zealand (and 1 more)
- Di Wang 0022 — Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
- Di Wang 0023 — JD Explore Academy, Beijing, China (and 2 more)
- Di Wang 0024 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China (and 1 more)
- Di Wang 0025 — Wuhan University, School of Cyber Science and Engineering, China (and 1 more)
- Di Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Di Wang 0027 — Tianjin University of Science and Technology, School of Electronic Information and Automation, China
- Di Wang 0028 — Plus Inc., Suzhou, China (and 1 more)
- Di Wang 0029 — University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, IL, USA
- Di Wang 0030 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Di Wang 0031 — Facebook, Seattle, WA, USA (and 1 more)
- Di Wang 0032 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electromachnical Engineering, China
- Di Wang 0033 — Tiangong University, School of Electronics and Information Engineering, Tianjin, China (and 1 more)
- Di Wang 0034 — University of Kitakyushu, Graduate School of Environmental Engineering, Wakamatsu, Japan (and 1 more)
- Di Wang 0035 — Chongqing Jiaotong University, School of Information Science and Engineering, China (and 2 more)
- Di Wang 0036 — Northeast Forestry University, College of Information and Computer Engineering, Harbin, China (and 1 more)
- Di Wang 0037 — Nagoya University, Department of Civil and Environmental Engineering, Japan
- Di Wang 0038 — Wuhan University of Technology, School of Management, China (and 1 more)
- Di Wang 0039 — Northwest Minzu University, Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education, Lanzhou, Gansu, China (and 1 more)
- Di Wang 0040 — University of Manchester, School of Informatics, UK (and 1 more)
- Di Wang 0041 — Northeast Petroleum University, Daqing, Heilongjiang, China
- Di Wang 0042 — Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
- Di Wang 0043 — University of Utah, Salt Lake City, UT, USA
- Di Wang 0044 — Institute for Smart City of Chongqing University in Liyang, Chongqing University, Liyang, China
- Di Wang 0045 — Zhejiang University, Hangzhou, China
- Di Wang 0046 — Nanjing University of Science and Technology, Nanjing, China
- Di Wang 0047 — Ningbo Polytechnic, Ningbo, China
- Di Wang 0048 — Beihang University, Beijing, China
- Di Wang 0049 — University of Science, and Technology, Beijing, China
- Di Wang 0050 — National University of Defense Technology, Changsha, China
- Di Wang 0051 — Qilu University of Technology, Jinan, China
- Di Wang 0052 — Tencent Inc., Hunyuan, Machine Learning Platform Department, Large Language Model Department, China
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2020 – today
- 2026
[c4]Wenqian Ye, Di Wang, Guangtao Zheng, Bohan Liu, Aidong Zhang:
SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias. AAAI 2026: 27809-27817- [c3]Wenqian Ye, Bohan Liu, Guangtao Zheng, Di Wang, Xu Cao, Yunsheng Ma, Bolin Lai, James M. Rehg, Aidong Zhang:
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. KDD (1) 2026: 2854-2865 - 2025
- [i1]Wenqian Ye, Di Wang, Guangtao Zheng, Bohan Liu, Aidong Zhang:
SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias. CoRR abs/2511.13005 (2025) - 2024
- [c2]Di Wang, Xunzhi Xiang, Kun Jing, Jungang Xu:
Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. ICANN (1) 2024: 261-276 - [c1]Di Wang, Kun Jing, Jungang Xu:
NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. ICANN (1) 2024: 277-291
Coauthor Index
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