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Zichao Wang 0001
Person information
- unicode name: 王子超
- affiliation: Adobe Research, San Francisco, CA, USA
- affiliation (PhD 2023): Rice University, Houston, TX, USA
Other persons with the same name
- Zichao Wang 0002 — Beijing YiXin YiXing Auto Technology, China
- Zichao Wang 0003 — Changsha University of Science and Technology, College of Automotive and Mechanical Engineering, China
- Zichao Wang 0004 — Beijing University of Technology, Faculty of Information Technology, China
- Zichao Wang 0005 — Northwestern Polytechnical University, School of Computer Science, iOPEN, Xi'an, China
- Zichao Wang 0007 — Nanjing University of Science and Technology, School of Cyber Science and Engineering, Jiangyin, China
- Zichao Wang 0008 — Xidian University, School of Integrated Circuits, Xi'an, China
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2020 – today
- 2024
- [c29]Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk:
Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP 2024: 6165-6169 - [c28]Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun:
ATLAS: A System for PDF-centric Human Interaction Data Collection. NAACL (Demonstrations) 2024: 87-96 - [i27]Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun:
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR abs/2405.02778 (2024) - [i26]Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun:
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR abs/2406.09305 (2024) - [i25]Naiming Liu, Zichao Wang, Richard G. Baraniuk:
Synthetic Context Generation for Question Generation. CoRR abs/2406.13188 (2024) - [i24]Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka:
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. CoRR abs/2410.16400 (2024) - [i23]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024) - 2023
- [c27]Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan:
Interpretable Math Word Problem Solution Generation via Step-by-step Planning. ACL (1) 2023: 6858-6877 - [c26]Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan:
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank. BEA@ACL 2023: 247-259 - [c25]Zichao Wang, Richard G. Baraniuk:
MultiQG-TI: Towards Question Generation from Multi-modal Sources. BEA@ACL 2023: 682-691 - [c24]Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. ICLR 2023 - [c23]Shashank Sonkar, Zichao Wang, Richard G. Baraniuk:
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. SustaiNLP 2023: 219-226 - [i22]Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan:
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning. CoRR abs/2306.00784 (2023) - [i21]Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan:
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank. CoRR abs/2306.08847 (2023) - [i20]Zichao Wang, Richard G. Baraniuk:
MultiQG-TI: Towards Question Generation from Multi-modal Sources. CoRR abs/2307.04643 (2023) - [i19]Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk:
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. CoRR abs/2310.02439 (2023) - [i18]Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun:
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR abs/2310.15140 (2023) - 2022
- [c22]Zichao Wang, Jakob Valdez, Debshila Basu Mallick
, Richard G. Baraniuk:
Towards Human-Like Educational Question Generation with Large Language Models. AIED (1) 2022: 153-166 - [c21]Nigel Fernandez, Aritra Ghosh
Automated Scoring for Reading Comprehension via In-context BERT Tuning. AIED (1) 2022: 691-697 - [c20]Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Open-ended Knowledge Tracing for Computer Science Education. EMNLP 2022: 3849-3862 - [c19]Randall Balestriero, Zichao Wang, Richard G. Baraniuk:
DeepHull: Fast Convex Hull Approximation in High Dimensions. ICASSP 2022: 3888-3892 - [i17]Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Open-Ended Knowledge Tracing. CoRR abs/2203.03716 (2022) - [i16]Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan:
Automated Scoring for Reading Comprehension via In-context BERT Tuning. CoRR abs/2205.09864 (2022) - [i15]Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. CoRR abs/2208.11126 (2022) - [i14]Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang:
Instructions and Guide: Causal Insights for Learning Paths in Education. CoRR abs/2208.12610 (2022) - [i13]Shashank Sonkar, Zichao Wang, Richard G. Baraniuk:
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. CoRR abs/2212.09723 (2022) - 2021
- [c18]Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang:
Educational Question Mining At Scale: Prediction, Analysis and Personalization. AAAI 2021: 15669-15677 - [c17]Zichao Wang, Andrew S. Lan, Richard G. Baraniuk:
Mathematical Formula Representation via Tree Embeddings. iTextbooks@AIED 2021: 121-133 - [c16]Zichao Wang, Kyle Manning, Debshila Basu Mallick, Richard G. Baraniuk:
Towards Blooms Taxonomy Classification Without Labels. AIED (1) 2021: 433-445 - [c15]Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan:
Scientific Formula Retrieval via Tree Embeddings. IEEE BigData 2021: 1493-1503 - [c14]Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Math Operation Embeddings for Open-ended Solution Analysis and Feedback. EDM 2021 - [c13]Zichao Wang, Andrew S. Lan, Richard G. Baraniuk:
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. EMNLP (1) 2021: 5986-5999 - [c12]Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk:
Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP 2021: 2950-2954 - [c11]Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk:
The Recurrent Neural Tangent Kernel. ICLR 2021 - [i12]Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang:
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. CoRR abs/2104.04034 (2021) - [i11]Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Math Operation Embeddings for Open-ended Solution Analysis and Feedback. CoRR abs/2104.12047 (2021) - [i10]Zichao Wang, Andrew S. Lan, Richard G. Baraniuk:
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. CoRR abs/2109.04546 (2021) - 2020
- [c10]Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk:
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. EDM 2020 - [c9]Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang:
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms. IJCAI 2020: 160-166 - [c8]Aviad Rubinstein, Jack Z. Wang, S. Matthew Weinberg
Optimal Single-Choice Prophet Inequalities from Samples. ITCS 2020: 60:1-60:10 - [c7]Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang:
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. NeurIPS (Competition and Demos) 2020: 191-205 - [i9]Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Cheng Zhang:
Large-Scale Educational Question Analysis with Partial Variational Auto-encoders. CoRR abs/2003.05980 (2020) - [i8]Jack Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk:
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. CoRR abs/2005.13107 (2020) - [i7]Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk:
An Improved Semi-Supervised VAE for Learning Disentangled Representations. CoRR abs/2006.07460 (2020) - [i6]Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk:
The Recurrent Neural Tangent Kernel. CoRR abs/2006.10246 (2020) - [i5]Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang:
Diagnostic Questions: The NeurIPS 2020 Education Challenge. CoRR abs/2007.12061 (2020) - [i4]Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk:
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR abs/2010.13975 (2020) - [i3]Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang:
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms. CoRR abs/2011.01956 (2020) - [i2]Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk:
Scalable Neural Tangent Kernel of Recurrent Architectures. CoRR abs/2012.04859 (2020)
2010 – 2019
- 2019
- [c6]Zichao Wang:
Techniques for Automatically Evaluating Machine-Generated Questions. EDM 2019 - [c5]Zichao Wang, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk:
A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. EDM 2019 - [c4]Zichao Wang, Randall Balestriero, Richard G. Baraniuk:
A Max-Affine Spline Perspective of Recurrent Neural Networks. ICLR (Poster) 2019 - [i1]Aviad Rubinstein, Jack Z. Wang, S. Matthew Weinberg:
Optimal Single-Choice Prophet Inequalities from Samples. CoRR abs/1911.07945 (2019) - 2018
- [c3]Zichao Wang, Andrew S. Lan, Weili Nie, Andrew E. Waters, Phillip J. Grimaldi, Richard G. Baraniuk:
QG-net: a data-driven question generation model for educational content. L@S 2018: 7:1-7:10 - 2017
- [c2]Jack Z. Wang, Andrew S. Lan, Phillip Grimaldi, Richard G. Baraniuk:
A Latent Factor Model For Instructor Content Preference Analysis. EDM 2017 - 2016
- [c1]Ante Jukic, Zichao Wang, Toon van Waterschoot
Constrained multi-channel linear prediction for adaptive speech dereverberation. IWAENC 2016: 1-5
Coauthor Index
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last updated on 2024-12-12 20:56 CET by the dblp team
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