dblp: Daniel Wang (disambiguation) (original) (raw)

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• > Home > Persons

This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

Person information

Other persons with the same name

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• How does dblp handle homonyms and synonyms?

• Why are some names followed by a four digit number?

• Daniel Wang 0001 — California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, CA, USA

• Daniel Wang 0002 — Jet Propulsion Laboratory (JPL), Pasadena, CA, USA (and 1 more)

• Daniel Wang 0003 — Tencent PCG, Beijing, China

• Daniel Wang 0004 — Beihang University, Robotics Institute, Beijing, China

• Daniel Wang 0005 — Yale University, Vision Laboratory, New Haven, CT, USA

Other persons with a similar name

• Daniel Wang Feng
• Daniel A. Wang — Los Alamos National Laboratory, NM, USA
• Daniel C. Wang — Microsoft, Azure Web Workload team, Redmond, WA, USA (and 1 more)
• Daniel I. C. Wang — Massachusetts Institute of Technology, Department of Chemical Engineering, Cambridge, MA, USA
• Daniel L. Wang (aka: Daniel Liwei Wang) — SLAC National Accelerator Laboratory, Menlo Park, CA, USA (and 1 more)
• Daniel T. Wang — Teradata China
• Daniel Y. Wang — Columbia University, Department of Medicine, New York City, NY, USA
• Li-An Daniel Wang — Sam Houston State University, Department of Mathematics and Statistics, Huntsville, TX, USA (and 1 more)
• Zhengkui Wang (aka: Daniel Zhengkui Wang) — Singapore Institute of Technology, InfoComm Technology Cluster, Singapore (and 1 more)
• Ziang Wang 0001 (aka: Ziang (Daniel) Wang) — University of Manitoba, Autonomous Agents Laboratory, Winnipeg, MB, Canada

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2020 – today

• 2026
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  [i6]
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    Juan Luis Herrera, Daniel Wang, Schahram Dustdar:
    A Microservice-Based Platform for Sustainable and Intelligent SLO Fulfilment and Service Management. CoRR abs/2602.12875 (2026)
• 2025
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  [c14]
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    Daniel Wang, Evan Markou, Dylan Campbell:
    Towards Scalable Backpropagation-Free Gradient Estimation. AI (2) 2025: 30-42
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  [c13]
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    Daniel Killough, Justin Feng, Rithvik Dyava, Zheng Xue "ZX" Ching, Daniel Wang, Yapeng Tian, Yuhang Zhao:
    Demonstration of VRSight: AI-Driven Real-Time Descriptions to Enhance VR Accessibility for Blind People. CHI Extended Abstracts 2025: 724:1-724:5
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  [c12]
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    Daniel Wang, Sridevi V. Sarma, Aaron L. Sampson, Veit Stuphorn, Ernst Niebur, Pierre Sacré, Jorge González-Martínez, Daniel B. Dorman:
    Neural correlates from the middle temporal gyrus via machine learning decode decision making variables during gambling in humans. CISS 2025: 1-6
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  [c11]
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    Yidi Wang, Aik Beng Ng, Simon See, Daniel Wang, Frank Guan:
    Simulating 3D Thermal Fluid Dynamics in Data Centers with Soft-Constrained Physics-Informed Graph Neural Network. SIGGRAPH Asia Posters 2025: 116:1-116:3
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  [c10]
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    Daniel Killough, Justin Feng, Zheng Xue "ZX" Ching, Daniel Wang, Rithvik Dyava, Yapeng Tian, Yuhang Zhao:
    VRSight: An AI-Driven Scene Description System to Improve Virtual Reality Accessibility for Blind People. UIST 2025: 49:1-49:17
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  [i5]
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    Daniel Killough, Justin Feng, Zheng Xue, Daniel Wang, Rithvik Dyava, Yapeng Tian, Yuhang Zhao:
    VRSight: An AI-Driven Scene Description System to Improve Virtual Reality Accessibility for Blind People. CoRR abs/2508.02958 (2025)
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  [i4]
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    Daniel Wang, Eli Brignac, Minjia Mao, Xiao Fang:
    Measuring Stereotype and Deviation Biases in Large Language Models. CoRR abs/2508.06649 (2025)
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  [i3]
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    Tim Bakkenes, Daniel Wang, Anton Johansson:
    Fine Tuning Methods for Low-resource Languages. CoRR abs/2510.04139 (2025)
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  [i2]
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    Daniel Wang, Evan Markou, Dylan Campbell:
    Towards Scalable Backpropagation-Free Gradient Estimation. CoRR abs/2511.03110 (2025)
• 2024
• 
  [i1]
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    Daniel Wang, Jack W. McFarland, Afra Mashhadi, Ekin Ugurel:
    Comparing Fairness of Generative Mobility Models. CoRR abs/2411.04453 (2024)
• 2023
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  [c9]
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    Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
    Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. SC 2023: 19:1-19:15
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  [c8]
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    Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu:
    Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. SDM 2023: 343-351
• 2022
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  [c7]
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    Shuyan Li, Rui Li, Bolin Gao, Keke Wan, Keqiang Li, Xuepeng Wang, Daniel Wang, Dongbo Yang:
    Predictive Adaptive Cruise Control for Heavy-duty Vehicle based on Cloud Control System. ITSC 2022: 2998-3003
• 2021
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  [c6]
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    Darío Urbina-Meléndez, Jiaoran Wang, Daniel Wang, Ali Marjaninejad, Francisco J. Valero Cuevas:
    Estimating Center of Pressure of a Bipedal Mechanism Using a Proprioceptive Artificial Skin around its Ankles. EMBC 2021: 4522-4528

2010 – 2019

• 2018
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  [c5]
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    John R. Jameson, John Dinh, Nathan Gonzales, Shane C. Hollmer, Sue Hsu, David Kim, Foroozan Koushan, Derric Lewis, Ed Runnion, Jeffrey Shields, Aaron Tysdal, Daniel Wang, Venkatesh Gopinath:
    Towards Automotive Grade Embedded RRAM. ESSDERC 2018: 58-61

2000 – 2009

• 2007
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  [j1]
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    Abhishek Tiwary, José D. Fuentes, Jordan G. Barr, Daniel Wang, Jeremy J. Colls:
    Inferring the source strength of isoprene from ambient concentrations. Environ. Model. Softw. 22(9): 1281-1293 (2007)
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  [c4]
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    Marwan Abi-Antoun, Daniel Wang, Peter Torr:
    Checking threat modeling data flow diagrams for implementation conformance and security. ASE 2007: 393-396
• 2006
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  [c3]
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    Brian Hackett, Manuvir Das, Daniel Wang, Zhe Yang:
    Modular checking for buffer overflows in the large. ICSE 2006: 232-241
• 2004
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  [c2]
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    Daniel Wang, Carl Lee, R. H. Mehta, Joni Kaiser, Marilyn Bott:
    An Image Retrieval System Based on Patient Data and Image Content. SNPD 2004: 241-246
• 2001
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  [c1]
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    Mark Kalman, Isaac Keslassy, Daniel Wang, Bernd Girod:
    Classification of compound images based on transform coefficient likelihood. ICIP (1) 2001: 750-753

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