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2020 – today
- 2024
[j19]Yuan Yuan
, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang:
Gift Contagion in Online Groups: Evidence from Virtual Red Packets. Manag. Sci. 70(7): 4465-4479 (2024)- [j18]Gale H. Prinster, C. Estelle Smith, Chenhao Tan, Brian C. Keegan:
Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community on Reddit. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-33 (2024) - [j17]C. Estelle Smith, Shamika Klassen, Gale H. Prinster, Chenhao Tan, Brian C. Keegan:
Governance of the Black Experience on Reddit: r/BlackPeopleTwitter as a Case Study in Supporting Sense of Virtual Community for Black Users. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-32 (2024) - [c63]Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik:
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. ACL (Findings) 2024: 118-132 - [c62]Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan:
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies. CHI 2024: 486:1-486:16 - [c61]Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie:
The First Workshop on AI Behavioral Science. KDD 2024: 6724-6725 - [i76]Karen Zhou, Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland, William Howell, Chenhao Tan:
Quantifying the Uniqueness of Donald Trump in Presidential Discourse. CoRR abs/2401.01405 (2024) - [i75]Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan:
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. CoRR abs/2403.05565 (2024) - [i74]Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan:
Hypothesis Generation with Large Language Models. CoRR abs/2404.04326 (2024) - [i73]Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan:
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. CoRR abs/2404.06162 (2024) - [i72]Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan:
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies. CoRR abs/2405.05225 (2024) - [i71]Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan:
The Impossibility of Fair LLMs. CoRR abs/2406.03198 (2024) - [i70]Jiashuo Wang, Yang Xiao, Yanran Li, Changhe Song, Chunpu Xu, Chenhao Tan, Wenjie Li:
Towards a Client-Centered Assessment of LLM Therapists by Client Simulation. CoRR abs/2406.12266 (2024) - [i69]Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan:
GPT-4V Cannot Generate Radiology Reports Yet. CoRR abs/2407.12176 (2024) - [i68]Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik:
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. CoRR abs/2407.16148 (2024) - [i67]Mourad Heddaya, Qingcheng Zeng, Chenhao Tan, Rob Voigt, Alexander Zentefis:
Causal Micro-Narratives. CoRR abs/2410.05252 (2024) - [i66]Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, Chenhao Tan:
Literature Meets Data: A Synergistic Approach to Hypothesis Generation. CoRR abs/2410.17309 (2024) - 2023
- [j16]Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan:
Selective Explanations: Leveraging Human Input to Align Explainable AI. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-35 (2023) - [j15]Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan:
How Large Language Models Will Disrupt Data Management. Proc. VLDB Endow. 16(11): 3302-3309 (2023) - [j14]Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. Trans. Mach. Learn. Res. 2023 (2023) - [c60]Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan:
FLamE: Few-shot Learning from Natural Language Explanations. ACL (1) 2023: 6743-6763 - [c59]Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis:
Language of Bargaining. ACL (1) 2023: 13161-13185 - [c58]Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan:
Learning to Ignore Adversarial Attacks. EACL 2023: 2962-2976 - [c57]Karen Zhou, Chenhao Tan:
Entity-Based Evaluation of Political Bias in Automatic Summarization. EMNLP (Findings) 2023: 10374-10386 - [c56]Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe:
Ecologically Valid Explanations for Label Variation in NLI. EMNLP (Findings) 2023: 10622-10633 - [c55]Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. FAccT 2023: 1 - [c54]Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao, Chenhao Tan:
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. FAccT 2023: 1369-1385 - [c53]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. ICLR 2023 - [c52]Dang Nguyen, Chacha Chen, He He, Chenhao Tan:
Pragmatic Radiology Report Generation. ML4H@NeurIPS 2023: 385-402 - [c51]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS 2023 - [c50]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i65]Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan:
Selective Explanations: Leveraging Human Input to Align Explainable AI. CoRR abs/2301.09656 (2023) - [i64]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. CoRR abs/2303.04809 (2023) - [i63]Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe:
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation. CoRR abs/2304.12443 (2023) - [i62]Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan:
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. CoRR abs/2305.00050 (2023) - [i61]Karen Zhou, Chenhao Tan:
Characterizing Political Bias in Automatic Summaries: A Case Study of Trump and Biden. CoRR abs/2305.02321 (2023) - [i60]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR abs/2305.16646 (2023) - [i59]Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis:
Language of Bargaining. CoRR abs/2306.07117 (2023) - [i58]Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan:
FLamE: Few-shot Learning from Natural Language Explanations. CoRR abs/2306.08042 (2023) - [i57]Gale H. Prinster, C. Estelle Smith, Chenhao Tan, Brian C. Keegan:
Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community. CoRR abs/2310.02515 (2023) - [i56]Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe:
Ecologically Valid Explanations for Label Variation in NLI. CoRR abs/2310.13850 (2023) - [i55]Dang Nguyen, Chacha Chen, He He, Chenhao Tan:
Pragmatic Radiology Report Generation. CoRR abs/2311.17154 (2023) - [i54]Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan:
Clinical Notes Reveal Physician Fatigue. CoRR abs/2312.03077 (2023) - 2022
- [j13]Chenhao Tan, Xin Liu, Gaoyan Zhang:
Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM. Neuroinformatics 20(3): 737-753 (2022) - [j12]C. Estelle Smith, Irfanul Alam, Chenhao Tan, Brian C. Keegan, Anita L. Blanchard:
The Impact of Governance Bots on Sense of Virtual Community: Development and Validation of the GOV-BOTs Scale. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-30 (2022) - [c49]Samuel Carton, Surya Kanoria, Chenhao Tan:
What to Learn, and How: Toward Effective Learning from Rationales. ACL (Findings) 2022: 1075-1088 - [c48]Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan:
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CHI 2022: 54:1-54:18 - [c47]Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang:
Responsible Language Technologies: Foreseeing and Mitigating Harms. CHI Extended Abstracts 2022: 152:1-152:3 - [c46]Yiming Zhang, Shi Feng, Chenhao Tan:
Active Example Selection for In-Context Learning. EMNLP 2022: 9134-9148 - [c45]Jamar L. Sullivan Jr., William Brackenbury, Andrew McNut, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael L. Littman, Chenhao Tan, Blase Ur:
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. NAACL-HLT 2022: 521-531 - [c44]Chenhao Tan:
On the Diversity and Limits of Human Explanations. NAACL-HLT 2022: 2173-2188 - [c43]Abhinav Kumar, Chenhao Tan, Amit Sharma:
Probing Classifiers are Unreliable for Concept Removal and Detection. NeurIPS 2022 - [i53]Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR abs/2202.01875 (2022) - [i52]Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. CoRR abs/2202.04092 (2022) - [i51]Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan:
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CoRR abs/2204.11788 (2022) - [i50]Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan:
Learning to Ignore Adversarial Attacks. CoRR abs/2205.11551 (2022) - [i49]Abhinav Kumar, Chenhao Tan, Amit Sharma:
Probing Classifiers are Unreliable for Concept Removal and Detection. CoRR abs/2207.04153 (2022) - [i48]Yiming Zhang, Shi Feng, Chenhao Tan:
Active Example Selection for In-Context Learning. CoRR abs/2211.04486 (2022) - [i47]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022) - 2021
- [j11]Han Liu, Vivian Lai, Chenhao Tan:
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 408:1-408:45 (2021) - [c42]Madhusudhan Aithal, Chenhao Tan:
On Positivity Bias in Negative Reviews. ACL/IJCNLP (2) 2021: 294-304 - [c41]Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin, Tamara Sumner:
Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application. AIED (2) 2021: 344-348 - [c40]Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. AIES 2021: 652-663 - [c39]Chao-Chun Hsu, Chenhao Tan:
Decision-Focused Summarization. EMNLP (1) 2021: 117-132 - [c38]Jason Shuo Zhang, Brian Keegan, Qin Lv, Chenhao Tan:
Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic. ICWSM 2021: 888-899 - [i46]Han Liu, Vivian Lai, Chenhao Tan:
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. CoRR abs/2101.05303 (2021) - [i45]Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne H. Ward, James H. Martin, Tamara Sumner:
Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application. CoRR abs/2105.07949 (2021) - [i44]Chenhao Tan:
On the Diversity and Limits of Human Explanations. CoRR abs/2106.11988 (2021) - [i43]Madhusudhan Aithal, Chenhao Tan:
On Positivity Bias in Negative Reviews. CoRR abs/2106.12056 (2021) - [i42]Chao-Chun Hsu, Chenhao Tan:
Decision-Focused Summarization. CoRR abs/2109.06896 (2021) - [i41]Yangqiaoyu Zhou, Chenhao Tan:
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI. CoRR abs/2110.06223 (2021) - [i40]Samuel Carton, Surya Kanoria, Chenhao Tan:
What to Learn, and How: Toward Effective Learning from Rationales. CoRR abs/2112.00071 (2021) - [i39]Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan:
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. CoRR abs/2112.11471 (2021) - 2020
- [c37]Vivian Lai, Han Liu, Chenhao Tan:
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans. CHI 2020: 1-13 - [c36]Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan:
Characterizing the Value of Information in Medical Notes. EMNLP (Findings) 2020: 2062-2072 - [c35]Samuel Carton, Anirudh Rathore, Chenhao Tan:
Evaluating and Characterizing Human Rationales. EMNLP (1) 2020: 9294-9307 - [c34]Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan:
Explaining machine learning classifiers through diverse counterfactual explanations. FAT* 2020: 607-617 - [i38]Vivian Lai, Han Liu, Chenhao Tan:
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans. CoRR abs/2001.05871 (2020) - [i37]Vivian Lai, Samuel Carton, Chenhao Tan:
Harnessing Explanations to Bridge AI and Humans. CoRR abs/2003.07370 (2020) - [i36]Jason Shuo Zhang, Brian C. Keegan, Qin Lv, Chenhao Tan:
A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through /r/China_Flu and /r/Coronavirus. CoRR abs/2006.04816 (2020) - [i35]Brian C. Keegan, Chenhao Tan:
A Quantitative Portrait of Wikipedia's High-Tempo Collaborations during the 2020 Coronavirus Pandemic. CoRR abs/2006.08899 (2020) - [i34]Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan:
Characterizing the Value of Information in Medical Notes. CoRR abs/2010.03574 (2020) - [i33]Samuel Carton, Anirudh Rathore, Chenhao Tan:
Evaluating and Characterizing Human Rationales. CoRR abs/2010.04736 (2020) - [i32]Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. CoRR abs/2011.04917 (2020)
2010 – 2019
- 2019
- [j10]Chao Luo, Chenhao Tan, Xingyuan Wang, Yuanjie Zheng:
An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction. Appl. Soft Comput. 78: 150-163 (2019) - [j9]Chao Luo, Chenhao Tan, Yuanjie Zheng:
Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules. Int. J. Approx. Reason. 108: 38-61 (2019) - [j8]Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan:
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community. Proc. ACM Hum. Comput. Interact. 3(CSCW): 163:1-163:21 (2019) - [j7]Jason Shuo Zhang, Chenhao Tan, Qin Lv:
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums. Proc. ACM Hum. Comput. Interact. 3(CSCW): 193:1-193:35 (2019) - [j6]Kelvin Luu, Chenhao Tan, Noah A. Smith:
Measuring Online Debaters' Persuasive Skill from Text over Time. Trans. Assoc. Comput. Linguistics 7: 537-550 (2019) - [c33]Vivian Lai, Zheng Cai, Chenhao Tan:
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. EMNLP/IJCNLP (1) 2019: 486-495 - [c32]David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan:
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments. EMNLP/IJCNLP (1) 2019: 2911-2921 - [c31]Vivian Lai, Chenhao Tan:
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection. FAT 2019: 29-38 - [c30]Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. NAACL-HLT (1) 2019: 1660-1676 - [c29]Brian Lubars, Chenhao Tan:
Ask not what AI can do, but what AI should do: Towards a framework of task delegability. NeurIPS 2019: 57-67 - [c28]Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero:
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. WWW 2019: 318-328 - [c27]Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Alex Cheng, Yueting Zhuang:
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. WWW 2019: 2666-2672 - [i31]Brian Lubars, Chenhao Tan:
Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability. CoRR abs/1902.03245 (2019) - [i30]Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Yueting Zhuang, Alex Cheng:
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. CoRR abs/1902.06432 (2019) - [i29]Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero:
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. CoRR abs/1903.07724 (2019) - [i28]Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. CoRR abs/1904.08950 (2019) - [i27]Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang:
Learning Fair Representations via an Adversarial Framework. CoRR abs/1904.13341 (2019) - [i26]Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan:
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations. CoRR abs/1905.07697 (2019) - [i25]Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang:
Identify and understand pay-it-forward reciprocity using millions of online red packets. CoRR abs/1906.09698 (2019) - [i24]Jason Shuo Zhang, Chenhao Tan, Qin Lv:
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums. CoRR abs/1908.10870 (2019) - [i23]Vivian Lai, Jon Z. Cai, Chenhao Tan:
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. CoRR abs/1910.08534 (2019) - [i22]Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan:
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community. CoRR abs/1910.09563 (2019) - [i21]David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan:
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments. CoRR abs/1911.00523 (2019) - [i20]Divyat Mahajan, Chenhao Tan, Amit Sharma:
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. CoRR abs/1912.03277 (2019) - 2018
- [j5]Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma, Amit P. Sheth, Chenhao Tan, Samuel Hardman Taylor, Sanjaya Wijeratne:
Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media. AI Mag. 39(4): 36-44 (2018) - [j4]Tal August, Nigini Oliveira, Chenhao Tan, Noah A. Smith, Katharina Reinecke:
Framing Effects: Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases. Proc. ACM Hum. Comput. Interact. 2(CSCW): 22:1-22:19 (2018) - [j3]Jason Shuo Zhang, Chenhao Tan, Qin Lv:
"This is why we play": Characterizing Online Fan Communities of the NBA Teams. Proc. ACM Hum. Comput. Interact. 2(CSCW): 197:1-197:25 (2018) - [c26]Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang:
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai. AAAI 2018: 507-514 - [c25]Dallas Card, Chenhao Tan, Noah A. Smith:
Neural Models for Documents with Metadata. ACL (1) 2018: 2031-2040 - [c24]Chenhao Tan:
Tracing Community Genealogy: How New Communities Emerge from the Old. ICWSM 2018: 395-404 - [c23]Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith:
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. IUI 2018: 329-340 - [c22]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL 2018: 180-186 - [c21]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. WWW 2018: 945-954 - [c20]Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li:
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. WWW 2018: 967-976 - [i19]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. CoRR abs/1802.08690 (2018) - [i18]Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li:
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. CoRR abs/1802.09734 (2018) - [i17]Chenhao Tan:
Tracing Community Genealogy: How New Communities Emerge from the Old. CoRR abs/1804.01990 (2018) - [i16]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. CoRR abs/1805.11653 (2018) - [i15]Jason Shuo Zhang, Chenhao Tan, Qin Lv:
"This is why we play": Characterizing Online Fan Communities of the NBA Teams. CoRR abs/1809.01170 (2018) - [i14]Vivian Lai, Chenhao Tan:
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection. CoRR abs/1811.07901 (2018) - 2017
- [c19]Chenhao Tan, Dallas Card, Noah A. Smith:
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. ACL (1) 2017: 773-783 - [c18]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. EMNLP 2017: 1830-1839 - [i13]Chenhao Tan, Dallas Card, Noah A. Smith:
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. CoRR abs/1704.07828 (2017) - [i12]Dallas Card, Chenhao Tan, Noah A. Smith:
A Neural Framework for Generalized Topic Models. CoRR abs/1705.09296 (2017) - [i11]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. CoRR abs/1708.00781 (2017) - [i10]Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Jie Tang:
Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat. CoRR abs/1712.02926 (2017) - 2016
- [b1]Chenhao Tan:
Computational Approaches to Understanding Human Behavior from Online Social Interactions: Language and Communities. Cornell University, USA, 2016 - [c17]Jack Hessel, Chenhao Tan, Lillian Lee:
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. ICWSM 2016: 171-180 - [c16]Chenhao Tan, Adrien Friggeri, Lada A. Adamic:
Lost in Propagation? Unfolding News Cycles from the Source. ICWSM 2016: 378-387 - [c15]Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee:
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. WWW 2016: 613-624 - [c14]Isabel Mette Kloumann, Chenhao Tan, Jon M. Kleinberg, Lillian Lee:
Internet Collaboration on Extremely Difficult Problems: Research versus Olympiad Questions on the Polymath Site. WWW 2016: 1283-1292 - [i9]Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee:
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. CoRR abs/1602.01103 (2016) - [i8]Chenhao Tan, Lillian Lee:
Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings. CoRR abs/1612.06391 (2016) - [i7]Jack Hessel, Chenhao Tan, Lillian Lee:
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. CoRR abs/1612.07487 (2016) - 2015
- [c13]Chenhao Tan, Lillian Lee:
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement. WWW 2015: 1056-1066 - [i6]Chenhao Tan, Lillian Lee:
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement. CoRR abs/1503.01180 (2015) - 2014
- [c12]Chenhao Tan, Lillian Lee, Bo Pang:
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter. ACL (1) 2014: 175-185 - [c11]Chenhao Tan, Lillian Lee:
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication. ACL (2) 2014: 403-408 - [i5]Chenhao Tan, Lillian Lee, Bo Pang:
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter. CoRR abs/1405.1438 (2014) - [i4]Chenhao Tan, Lillian Lee:
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication. CoRR abs/1405.1439 (2014) - 2013
- [j2]Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang:
Query-dependent cross-domain ranking in heterogeneous network. Knowl. Inf. Syst. 34(1): 109-145 (2013) - [c10]Chenhao Tan, Ed H. Chi, David A. Huffaker, Gueorgi Kossinets, Alexander J. Smola:
Instant foodie: predicting expert ratings from grassroots. CIKM 2013: 1127-1136 - [c9]Daniel M. Romero, Chenhao Tan, Johan Ugander:
On the Interplay between Social and Topical Structure. ICWSM 2013 - 2012
- [j1]Wenbin Tang, Jie Tang, Tao Lei, Chenhao Tan, Bo Gao, Tian Li:
On optimization of expertise matching with various constraints. Neurocomputing 76(1): 71-83 (2012) - [c8]Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel:
Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper. ExProM@ACL 2012: 70-79 - [c7]Chenhao Tan, Evgeniy Gabrilovich, Bo Pang:
To each his own: personalized content selection based on text comprehensibility. WSDM 2012: 233-242 - [i3]Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel:
Hedge detection as a lens on framing in the GMO debates: A position paper. CoRR abs/1206.1066 (2012) - 2011
- [c6]Bin Lu, Chenhao Tan, Claire Cardie, Benjamin K. Tsou:
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora. ACL 2011: 320-330 - [c5]Shaomei Wu, Chenhao Tan, Jon M. Kleinberg, Michael W. Macy:
Does Bad News Go Away Faster? ICWSM 2011 - [c4]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. KDD 2011: 1397-1405 - [i2]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. CoRR abs/1109.6018 (2011) - [i1]Daniel M. Romero, Chenhao Tan, Johan Ugander:
Social-Topical Affiliations: The Interplay between Structure and Popularity. CoRR abs/1112.1115 (2011) - 2010
- [c3]Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang:
Social action tracking via noise tolerant time-varying factor graphs. KDD 2010: 1049-1058 - [c2]Wenbin Tang, Jie Tang, Chenhao Tan:
Expertise Matching via Constraint-Based Optimization. Web Intelligence 2010: 34-41
2000 – 2009
- 2009
- [c1]Yingyu Liang, Binbin Cao, Jianmin Li, Chenguang Zhu, Yongchao Zhang, Chenhao Tan, Ge Chen, Chen Sun, Jinhui Yuan, Mingxing Xu, Bo Zhang:
THU-IMG at TRECVID 2009. TRECVID 2009
Coauthor Index
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