Zichao Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. | Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu |
| 2026 | AAAI | VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. | Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka |
| 2026 | ACL | AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks. | Chau Minh Pham, Zichao Wang, Puneet Mathur, Alexa Siu, Akriti Jain, Aparna Garimella, Ananya B. Sai, Nedim Lipka, Mohit Iyyer, Varun Manjunatha |
| 2026 | CHI | Interview-Informed Generative Agents for Product Discovery: A Validation Study. | Zichao Wang, Alexa F. Siu |
| 2026 | CHI | Generative Design and Vibe Coding: Rethinking The Design-Development Divide for UI Prototyping. | Xinqi Zhang, Hariharan Subramonyam, Advait Sarkar, Ian Drosos, Zichao Wang, Kyungho Lee, Veronica Pimenova, Xiang Anthony Chen, Kai Lukoff |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi |
| 2025 | ACL | Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries. | Vishakh Padmakumar, Zichao Wang, David Arbour, Jennifer Healey |
| 2025 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley |
| 2025 | CHI | DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. | Yoonjoo Lee, Nedim Lipka, Zichao Wang, Ryan A. Rossi, Puneet Mathur, Tong Sun, Alexa F. Siu |
| 2025 | EMNLP | Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. | Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang |
| 2025 | EMNLP | UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks. | Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen |
| 2025 | NAACL | Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. | Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun |
| 2024 | ICASSP | 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, Richard G. Baraniuk |
| 2024 | NAACL | ATLAS: A System for PDF-centric Human Interaction Data Collection. | Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun |
| 2023 | ACL | Interpretable Math Word Problem Solution Generation via Step-by-step Planning. | Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan |
| 2023 | ICLR | Retrieval-based Controllable Molecule Generation. | Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar |
| 2023 | ICPADS | Towards Adaptive Adjusting and Efficient Scheduling Coflows Based on Deep Reinforcement Learning. | Zichao Wang, Kedong Yan, Guanxin Chang, Chanying Huang, Shan Xiao, Yuxin Yang |
| 2022 | AIED | Automated Scoring for Reading Comprehension via In-context BERT Tuning. | Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benot Choffin, Richard G. Baraniuk, Andrew S. Lan |
| 2022 | AIED | Towards Human-Like Educational Question Generation with Large Language Models. | Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk |
| 2022 | EMNLP | Open-ended Knowledge Tracing for Computer Science Education. | Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan |
| 2022 | ICASSP | DeepHull: Fast Convex Hull Approximation in High Dimensions. | Randall Balestriero, Zichao Wang, Richard G. Baraniuk |
| 2022 | ICIP | Prototype Queue Learning for Multi-Class Few-Shot Semantic Segmentation. | Zichao Wang, Zhiyu Jiang, Yuan Yuan |
| 2022 | SMC | Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. | Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao |
| 2021 | AAAI | Educational Question Mining At Scale: Prediction, Analysis and Personalization. | Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jos Miguel Hernndez-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang |
| 2021 | AIED | Mathematical Formula Representation via Tree Embeddings. | Zichao Wang, Andrew S. Lan, Richard G. Baraniuk |
| 2021 | AIED | Towards Blooms Taxonomy Classification Without Labels. | Zichao Wang, Kyle Manning, Debshila Basu Mallick, Richard G. Baraniuk |
| 2021 | EDM | Math Operation Embeddings for Open-ended Solution Analysis and Feedback. | Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan |
| 2021 | EMNLP | Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. | Zichao Wang, Andrew S. Lan, Richard G. Baraniuk |
| 2021 | ICASSP | 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, Richard G. Baraniuk |
| 2021 | ICLR | The Recurrent Neural Tangent Kernel. | Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk |
| 2020 | EDM | VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. | Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk |
| 2019 | EDM | Techniques for Automatically Evaluating Machine-Generated Questions. | Zichao Wang |
| 2019 | EDM | A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. | Zichao Wang, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |
| 2019 | ICLR | A Max-Affine Spline Perspective of Recurrent Neural Networks. | Zichao Wang, Randall Balestriero, Richard G. Baraniuk |
| 2017 | SMC | Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. | Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang |