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ORCIDKe Yang 0003
Person information
- affiliation: University of Texas at San Antonio, TX, USA
- affiliation (former): University of Massachusetts Amherst, MA, USA
- affiliation (former): New York University, NY, USA
Other persons with the same name
- Ke Yang — disambiguation page
- Ke Yang 0001
![[0000-0002-4637-9445]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4637-9445")
— Queen Mary University of London, UK - Ke Yang 0002 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Ke Yang 0004 — National Innovation Institute of Defense Technology, Beijing, China (and 1 more)
- Ke Yang 0005 — Google Inc., Mountain View, CA, USA (and 1 more)
- Ke Yang 0006 — Beijing University of Posts and Telecommunications, Beijing, China
- Ke Yang 0007 — East China Jiaotong University, Nanchang, China
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2020 – today
- 2026
[i21]Ke Yang, Zixi Chen, Xuan He, Jize Jiang, Michel Galley, Chenglong Wang, Jianfeng Gao, Jiawei Han, ChengXiang Zhai:
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents. CoRR abs/2603.03296 (2026)- [i20]Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang Tong, Jingrui He:
Code as Agent Harness. CoRR abs/2605.18747 (2026) - 2025
- [c16]Eric Modesitt, Ke Yang, Spencer Hulsey, Xin Liu, ChengXiang Zhai, Volodymyr V. Kindratenko:
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study. ACL (Findings) 2025: 907-926 - [c15]Dorde Klisura, Astrid R. Bernaga Torres, Anna Karen Gárate-Escamilla, Rajesh Roshan Biswal, Ke Yang, Hilal Pataci, Anthony Rios:
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems. ACL (1) 2025: 32318-32337 - [c14]Md Sohanur Rahman, Yuexia Zhang, Anthony Rios, Ke Yang:
Extracting Causal Relational Rules for Medical Question-Answering Tasks using Large Language Models. CHASE 2025: 464-469 - [c13]Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi Ren Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, Heng Ji:
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. COLING 2025: 281-296 - [c12]Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala:
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR 2025 - [i19]Ke Yang, Volodymyr V. Kindratenko, ChengXiang Zhai:
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment. CoRR abs/2501.00522 (2025) - [i18]Zafeiria Moumoulidou, Hamza Elhamdadi, Ke Yang, Subrata Mitra, Cindy Xiong Bearfield, Alexandra Meliou:
Perception-aware Sampling for Scatterplot Visualizations. CoRR abs/2504.20369 (2025) - [i17]Ke Yang, Kevin Ros, Shankar Kumar Senthil Kumar, ChengXiang Zhai:
JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation. CoRR abs/2505.13550 (2025) - [i16]Ke Yang, ChengXiang Zhai:
Ten Principles of AI Agent Economics. CoRR abs/2505.20273 (2025) - [i15]Dorde Klisura, Astrid R. Bernaga Torres, Anna Karen Gárate-Escamilla, Rajesh Roshan Biswal, Ke Yang, Hilal Pataci, Anthony Rios:
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems. CoRR abs/2506.02998 (2025) - [i14]Hanyang Chen, Mark Zhao, Rui Yang, Qinwei Ma, Ke Yang, Jiarui Yao, Kangrui Wang, Hao Bai, Zhenhailong Wang, Rui Pan, Mengchao Zhang, Jose A. Barreiros, Aykut Özgün Önol, ChengXiang Zhai, Heng Ji, Manling Li, Huan Zhang, Tong Zhang:
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning. CoRR abs/2510.12693 (2025) - [i13]Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang:
Geometric-Disentangelment Unlearning. CoRR abs/2511.17100 (2025) - 2024
- [c11]Ke Yang, Alexandra Meliou:
Non-Invasive Fairness in Learning Through the Lens of Data Drift. ICDE 2024: 2164-2178 - [c10]Yiran Liu, Ke Yang, Zehan Qi, Xiao Liu, Yang Yu, Cheng Xiang Zhai:
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency. NeurIPS 2024 - [c9]Ke Yang:
DEEILS: Data Ethics Embedded Interactive Learning System for Computer Science Students. SIGCSE (2) 2024: 1939 - [i12]Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai:
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. CoRR abs/2401.00812 (2024) - [i11]Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. CoRR abs/2402.11060 (2024) - [i10]Yiran Liu, Ke Yang, Zehan Qi, Xiao Liu, Yang Yu, Chengxiang Zhai:
Prejudice and Caprice: A Statistical Framework for Measuring Social Discrimination in Large Language Models. CoRR abs/2402.15481 (2024) - [i9]Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala:
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR abs/2410.13825 (2024) - [i8]Eric Modesitt, Ke Yang, Spencer Hulsey, Chengxiang Zhai, Volodymyr V. Kindratenko:
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study. CoRR abs/2412.14436 (2024) - 2023
- [j3]Meike Zehlike, Ke Yang, Julia Stoyanovich:
Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems. ACM Comput. Surv. 55(6): 117:1-117:41 (2023) - [j2]Meike Zehlike, Ke Yang, Julia Stoyanovich:
Fairness in Ranking, Part I: Score-Based Ranking. ACM Comput. Surv. 55(6): 118:1-118:36 (2023) - [c8]Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji:
ADEPT: A DEbiasing PrompT Framework. AAAI 2023: 10780-10788 - [c7]Julia Stoyanovich, Meike Zehlike, Ke Yang:
Fairness in Ranking: From Values to Technical Choices and Back. SIGMOD Conference Companion 2023: 7-12 - [c6]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i7]Ke Yang, Alexandra Meliou:
Non-Invasive Fairness in Learning through the Lens of Data Drift. CoRR abs/2303.17566 (2023) - 2022
- [i6]Ke Yang, Charles Yu, Yi R. Fung, Manling Li, Heng Ji:
ADEPT: A DEbiasing PrompT Framework. CoRR abs/2211.05414 (2022) - 2021
- [c5]Ke Yang, Joshua R. Loftus, Julia Stoyanovich:
Causal Intersectionality and Fair Ranking. FORC 2021: 7:1-7:20 - [i5]Meike Zehlike, Ke Yang, Julia Stoyanovich:
Fairness in Ranking: A Survey. CoRR abs/2103.14000 (2021) - 2020
- [i4]Ke Yang, Joshua R. Loftus, Julia Stoyanovich:
Causal intersectionality for fair ranking. CoRR abs/2006.08688 (2020)
2010 – 2019
- 2019
- [c4]Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich:
Balanced Ranking with Diversity Constraints. IJCAI 2019: 6035-6042 - [i3]Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich:
Balanced Ranking with Diversity Constraints. CoRR abs/1906.01747 (2019) - 2018
- [c3]Julia Stoyanovich, Ke Yang, H. V. Jagadish:
Online Set Selection with Fairness and Diversity Constraints. EDBT 2018: 241-252 - [c2]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. SIGMOD Conference 2018: 1773-1776 - [i2]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. CoRR abs/1804.07890 (2018) - 2017
- [c1]Ke Yang, Julia Stoyanovich:
Measuring Fairness in Ranked Outputs. SSDBM 2017: 22:1-22:6 - 2016
- [j1]Zhongming Han, Ke Yang, Fengmin Xu, Dagao Duan:
Probabilistic graphical model for detecting spammers in microblog websites. Int. J. Embed. Syst. 8(1): 12-23 (2016) - [i1]Ke Yang, Julia Stoyanovich:
Measuring Fairness in Ranked Outputs. CoRR abs/1610.08559 (2016)
Coauthor Index
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last updated on 2026-06-22 00:04 CEST by the dblp team
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