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Zichao Wang 0001
Jack Z. Wang – Jack Zichao Wang – 王子超
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
- Zichao Wang 0009 — Shanghai University of Electric Power, School of Computer Science and Technology, China
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2020 – today
- 2026
- [c40]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. AAAI 2026: 36536-36546 - [c39]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:
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. AAAI 2026: 39249-39258 - [c38]Xinqi Zhang, Hariharan Subramonyam, Advait Sarkar, Ian Drosos
, Zichao Wang
Generative Design and Vibe Coding: Rethinking The Design-Development Divide for UI Prototyping. CHI Extended Abstracts 2026: 802:1-802:3 - [c37]Zichao Wang
Interview-Informed Generative Agents for Product Discovery: A Validation Study. CHI 2026: 1612:1-1612:27 - [c36]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:
A Survey on LLM-based Conversational User Simulation. EACL (Volume 1: Long Papers) 2026: 4266-4301 - [i41]Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr:
Reasoning-Based Personalized Generation for Users with Sparse Data. CoRR abs/2602.21219 (2026) - [i40]Zichao Wang, Alexa F. Siu:
Interview-Informed Generative Agents for Product Discovery: A Validation Study. CoRR abs/2603.29890 (2026) - 2025
- [j1]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. Trans. Mach. Learn. Res. 2025 (2025) - [c35]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:
From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) 2025: 14552-14569 - [c34]Vishakh Padmakumar, Zichao Wang, David Arbour, Jennifer Healey:
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries. ACL (1) 2025: 29884-29899 - [c33]Yoonjoo Lee
DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. CHI Extended Abstracts 2025: 196:1-196:8 - [c32]Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen:
UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks. EMNLP (Industry Track) 2025: 1007-1016 - [c31]Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang:
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. EMNLP 2025: 13079-13092 - [c30]Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun:
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. NAACL (System Demonstrations) 2025: 210-247 - [i39]Samyadeep Basu, Vlad I. Morariu, Zichao Wang, Ryan A. Rossi, Cherry Zhao, Soheil Feizi, Varun Manjunatha:
On Mechanistic Circuits for Extractive Question-Answering. CoRR abs/2502.08059 (2025) - [i38]Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025) - [i37]Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu
A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. CoRR abs/2502.17516 (2025) - [i36]Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen:
UniEDU: A Unified Language and Vision Assistant for Education Applications. CoRR abs/2503.20701 (2025) - [i35]Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao:
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR abs/2505.14106 (2025) - [i34]Vishakh Padmakumar, Zichao Wang, David Arbour, Jennifer Healey:
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries. CoRR abs/2505.21859 (2025) - [i33]Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. CoRR abs/2509.16742 (2025) - [i32]Nigel Fernandez, Branislav Kveton, Ryan A. Rossi, Andrew S. Lan, Jack Zichao Wang:
RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs. CoRR abs/2509.25426 (2025) - [i31]Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton:
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces. CoRR abs/2510.08783 (2025) - [i30]Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. CoRR abs/2511.09914 (2025) - [i29]Naiming Liu, Brittany C. Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard G. Baraniuk:
Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education. CoRR abs/2512.24362 (2025) - 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 - [i28]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) - [i27]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) - [i26]Naiming Liu, Zichao Wang, Richard G. Baraniuk:
Synthetic Context Generation for Question Generation. CoRR abs/2406.13188 (2024) - [i25]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) - [i24]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) - [i23]Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun:
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. CoRR abs/2412.12445 (2024) - 2023
- [c27]Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng
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
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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