Constrained multi-channel linear prediction for adaptive speech dereverberation. - Ante Jukic; Zichao Wang 001; Toon van Waterschoot; Timo Gerkmann; Simon Doclo (IWAENC, 2016)

A Latent Factor Model For Instructor Content Preference Analysis. - Jack Z. Wang; Andrew S. Lan; Phillip Grimaldi; Richard G. Baraniuk (EDM, 2017)

QG-net: a data-driven question generation model for educational content. - Zichao Wang 001; Andrew S. Lan; Weili Nie; Andrew E. Waters; Phillip J. Grimaldi; Richard G. Baraniuk (L@S, 2018)

Techniques for Automatically Evaluating Machine-Generated Questions. - Zichao Wang 001 (EDM, 2019)

A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. - Zichao Wang 001; Andrew S. Lan; Andrew E. Waters; Phillip Grimaldi; Richard G. Baraniuk (EDM, 2019)

A Max-Affine Spline Perspective of Recurrent Neural Networks. - Zichao Wang 001; Randall Balestriero; Richard G. Baraniuk (ICLR (Poster), 2019)

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. - Zichao Wang 001; Yi Gu; Andrew S. Lan; Richard G. Baraniuk (EDM, 2020)

Maximizing Welfare with Incentive-Aware Evaluation Mechanisms. - Nika Haghtalab; Nicole Immorlica; Brendan Lucier; Jack Z. Wang (IJCAI, 2020)

Optimal Single-Choice Prophet Inequalities from Samples. - Aviad Rubinstein; Jack Z. Wang; S. Matthew Weinberg (ITCS, 2020)

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Zichao Wang 001; 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 002; Cheng Zhang 005 (NeurIPS (Competition and Demos), 2020)

Large-Scale Educational Question Analysis with Partial Variational Auto-encoders. - Zichao Wang 001; Sebastian Tschiatschek; Simon Woodhead 002; José Miguel Hernández-Lobato; Simon Peyton Jones; Cheng Zhang 005 (CoRR, 2020)

An Improved Semi-Supervised VAE for Learning Disentangled Representations. - Weili Nie; Zichao Wang 001; Ankit B. Patel; Richard G. Baraniuk (CoRR, 2020)

Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Zichao Wang 001; 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 002; Cheng Zhang 005 (CoRR, 2020)

Scalable Neural Tangent Kernel of Recurrent Architectures. - Sina Alemohammad; Randall Balestriero; Zichao Wang 001; Richard G. Baraniuk (CoRR, 2020)

Educational Question Mining At Scale: Prediction, Analysis and Personalization. - Zichao Wang 001; Sebastian Tschiatschek; Simon Woodhead 002; José Miguel Hernández-Lobato; Simon Peyton Jones; Richard G. Baraniuk; Cheng Zhang 005 (AAAI, 2021)

Mathematical Formula Representation via Tree Embeddings. - Zichao Wang 001; Andrew S. Lan; Richard G. Baraniuk (iTextbooks@AIED, 2021)

Towards Blooms Taxonomy Classification Without Labels. - Zichao Wang 001; Kyle Manning; Debshila Basu Mallick; Richard G. Baraniuk (AIED (1), 2021)

Scientific Formula Retrieval via Tree Embeddings. - Zichao Wang 001; Mengxue Zhang; Richard G. Baraniuk; Andrew S. Lan (IEEE BigData, 2021)

Math Operation Embeddings for Open-ended Solution Analysis and Feedback. - Mengxue Zhang; Zichao Wang 001; Richard G. Baraniuk; Andrew S. Lan (EDM, 2021)

Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. - Zichao Wang 001; Andrew S. Lan; Richard G. Baraniuk (EMNLP (1), 2021)

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. - Sina Alemohammad; Hossein Babaei; Randall Balestriero; Matt Y. Cheung; Ahmed Imtiaz Humayun; Daniel LeJeune; Naiming Liu; Lorenzo Luzi; Jasper Tan; Zichao Wang 001; Richard G. Baraniuk (ICASSP, 2021)

The Recurrent Neural Tangent Kernel. - Sina Alemohammad; Zichao Wang 001; Randall Balestriero; Richard G. Baraniuk (ICLR, 2021)

Automated Scoring for Reading Comprehension via In-context BERT Tuning. - Nigel Fernandez; Aritra Ghosh 001; Naiming Liu; Zichao Wang 001; Benoît Choffin; Richard G. Baraniuk; Andrew S. Lan (AIED (1), 2022)

Towards Human-Like Educational Question Generation with Large Language Models. - Zichao Wang 001; Jakob Valdez; Debshila Basu Mallick; Richard G. Baraniuk (AIED (1), 2022)

Open-ended Knowledge Tracing for Computer Science Education. - Naiming Liu; Zichao Wang 001; Richard G. Baraniuk; Andrew S. Lan (EMNLP, 2022)

DeepHull: Fast Convex Hull Approximation in High Dimensions. - Randall Balestriero; Zichao Wang 001; Richard G. Baraniuk (ICASSP, 2022)

Open-Ended Knowledge Tracing. - Naiming Liu; Zichao Wang 001; Richard G. Baraniuk; Andrew S. Lan (CoRR, 2022)

Instructions and Guide: Causal Insights for Learning Paths in Education. - Wenbo Gong 001; Digory Smith; Zichao Wang 001; Craig Barton; Simon Woodhead 002; Nick Pawlowski; Joel Jennings; Cheng Zhang 005 (CoRR, 2022)

Interpretable Math Word Problem Solution Generation via Step-by-step Planning. - Mengxue Zhang; Zichao Wang 001; Zhichao Yang 001; Weiqi Feng; Andrew S. Lan (ACL (1), 2023)

MultiQG-TI: Towards Question Generation from Multi-modal Sources. - Zichao Wang 001; Richard G. Baraniuk (BEA@ACL, 2023)

Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank. - Nischal Ashok Kumar; Nigel Fernandez; Zichao Wang 001; Andrew S. Lan (BEA@ACL, 2023)

Retrieval-based Controllable Molecule Generation. - Zichao Wang 001; Weili Nie; Zhuoran Qiao; Chaowei Xiao; Richard G. Baraniuk; Anima Anandkumar (ICLR, 2023)

MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. - Shashank Sonkar; Zichao Wang 001; Richard G. Baraniuk (SustaiNLP, 2023)

Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. - Naiming Liu; Shashank Sonkar; Zichao Wang 001; Simon Woodhead 002; Richard G. Baraniuk (CoRR, 2023)

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. - Sicheng Zhu; Ruiyi Zhang 002; Bang An 001; Gang Wu 013; Joe Barrow; Zichao Wang 001; Furong Huang; Ani Nenkova; Tong Sun 005 (CoRR, 2023)

Titan: Bringing the Deep Image Prior to Implicit Representations. - Lorenzo Luzi; Daniel LeJeune; Ali Siahkoohi; Sina Alemohammad; Vishwanath Saragadam; Hossein Babaei; Naiming Liu; Zichao Wang 001; Richard G. Baraniuk (ICASSP, 2024)

ATLAS: A System for PDF-centric Human Interaction Data Collection. - Alexa F. Siu; Zichao Wang 001; Joshua Hoeflich; Naman Kapasi; Ani Nenkova; Tong Sun 005 (NAACL (Demonstrations), 2024)

Improve Temporal Awareness of LLMs for Sequential Recommendation. - Zhendong Chu; Zichao Wang 001; Ruiyi Zhang 002; Yangfeng Ji; Hongning Wang; Tong Sun 005 (CoRR, 2024)

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Kaizhi Zheng; Nanxuan Zhao; Jiuxiang Gu; Zichao Wang 001; Xin Eric Wang; Tong Sun 005 (CoRR, 2024)

Synthetic Context Generation for Question Generation. - Naiming Liu; Zichao Wang 001; Richard G. Baraniuk (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. - Zihao Lin 003; Zichao Wang 001; Yuanting Pan; Varun Manjunatha; Ryan A. Rossi; Angela Lau; Lifu Huang; Tong Sun 005 (CoRR, 2024)

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries. - Vishakh Padmakumar; Zichao Wang 001; David Arbour; Jennifer Healey (ACL (1), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. - Yoonjoo Lee; Nedim Lipka; Zichao Wang 001; Ryan A. Rossi; Puneet Mathur; Tong Sun 005; Alexa F. Siu (CHI Extended Abstracts, 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

On Mechanistic Circuits for Extractive Question-Answering. - Samyadeep Basu; Vlad I. Morariu; Zichao Wang 001; Ryan A. Rossi; Cherry Zhao; Soheil Feizi; Varun Manjunatha (CoRR, 2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

UniEDU: A Unified Language and Vision Assistant for Education Applications. - Zhendong Chu; Jian Xie; Shen Wang 005; Zichao Wang 001; Qingsong Wen (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)