Eric Xing

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Introductory Programming

Image Generation

Data Transformation

Base Classifiers

Top Venues

Publications

Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
ALISON: Fast and Effective Stylometric Authorship Obfuscation. AAAI (2024)
Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
ALISON: Fast and Effective Stylometric Authorship Obfuscation. CoRR (2024)
Eric Xing, Guangming Xing
A Toolkit for Assessments in Introductory Programming Courses. SIGCSE (2) (2023)
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing
Making Scalable Meta Learning Practical. CoRR (2023)
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR (2023)
Kunhao Liu, Fangneng Zhan, Jiahui Zhang, Muyu Xu, Yingchen Yu, Abdulmotaleb El-Saddik, Christian Theobalt, Eric Xing, Shijian Lu
3D Open-vocabulary Segmentation with Foundation Models. CoRR (2023)
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing
Making Scalable Meta Learning Practical. NeurIPS (2023)
Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric Xing
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. CoRR (2023)
Yuxin Pei, Pushkar Bhuse, Zhengzhong Liu, Eric Xing
SegMix: A Simple Structure-Aware Data Augmentation Method. CoRR (2023)
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS (2023)
Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR (2022)
Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric Xing
Masked Generative Adversarial Networks are Data-Efficient Generation Learners. NeurIPS (2022)
Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness. NeurIPS (2022)
Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang
Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space. EMBC (2022)