Zichao Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

High Dimensions

Science Education

Top Venues

Publications

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)
Naiming Liu, Zichao Wang, Richard G. Baraniuk
Synthetic Context Generation for Question Generation. CoRR (2024)
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning. CoRR (2023)
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar
Retrieval-based Controllable Molecule Generation. ICLR (2023)
Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank. CoRR (2023)
Zichao Wang, Richard G. Baraniuk
MultiQG-TI: Towards Question Generation from Multi-modal Sources. BEA@ACL (2023)
Shashank Sonkar, Zichao Wang, Richard G. Baraniuk
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. SustaiNLP (2023)
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew Lan
Interpretable Math Word Problem Solution Generation via Step-by-step Planning. ACL (1) (2023)
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)
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 (2023)
Zichao Wang, Richard G. Baraniuk
MultiQG-TI: Towards Question Generation from Multi-modal Sources. CoRR (2023)
Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk
Towards Human-Like Educational Question Generation with Large Language Models. AIED (1) (2022)
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. AIED (1) (2022)
Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
Open-Ended Knowledge Tracing. CoRR (2022)
Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
Open-ended Knowledge Tracing for Computer Science Education. EMNLP (2022)
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 (2022)
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 (2022)
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar
Retrieval-based Controllable Molecule Generation. CoRR (2022)
Shashank Sonkar, Zichao Wang, Richard G. Baraniuk
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. CoRR (2022)
Randall Balestriero, Zichao Wang, Richard G. Baraniuk
DeepHull: Fast Convex Hull Approximation in High Dimensions. ICASSP (2022)
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. EMNLP (1) (2021)
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 (2021)
Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan
Scientific Formula Retrieval via Tree Embeddings. IEEE BigData (2021)
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. CoRR (2021)
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)
Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
Math Operation Embeddings for Open-ended Solution Analysis and Feedback. EDM (2021)
Zichao Wang, Kyle Manning, Debshila Basu Mallick, Richard G. Baraniuk
Towards Blooms Taxonomy Classification Without Labels. AIED (1) (2021)
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)
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk
Mathematical Formula Representation via Tree Embeddings. iTextbooks@AIED (2021)
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk
The Recurrent Neural Tangent Kernel. ICLR (2021)
Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
Math Operation Embeddings for Open-ended Solution Analysis and Feedback. CoRR (2021)
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 (2020)
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 (2020)
Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. EDM (2020)
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)
Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk
An Improved Semi-Supervised VAE for Learning Disentangled Representations. CoRR (2020)
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 (2020)
Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk
Scalable Neural Tangent Kernel of Recurrent Architectures. CoRR (2020)
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk
The Recurrent Neural Tangent Kernel. CoRR (2020)
Zichao Wang, Randall Balestriero, Richard G. Baraniuk
A Max-Affine Spline Perspective of Recurrent Neural Networks. ICLR (Poster) (2019)
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)
Zichao Wang
Techniques for Automatically Evaluating Machine-Generated Questions. EDM (2019)
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)
Ante Jukic, Zichao Wang, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
Constrained multi-channel linear prediction for adaptive speech dereverberation. IWAENC (2016)