Huang, Jin

28 publications

IJCAI 2025 Human Activity Recognition in an Open World (Abstract Reprint) Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer

ICCV 2025 RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Chengyu Zheng, Jin Huang, Honghua Chen, Mingqiang Wei

ICLR 2025 SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

TMLR 2024 Can LLMs Effectively Leverage Graph Structural Information Through Prompts, and Why? Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

NeurIPSW 2024 Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling Xihaier Luo, Samuel Lurvey, Yi Huang, Yihui Ren, Jin Huang, Byung-Jun Yoon

JAIR 2024 Human Activity Recognition in an Open World Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer

AAAI 2024 PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition Jin Huang, Danfeng Yan, Yuanqiang Cai

NeurIPSW 2024 SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

CVPR 2023 BEV@DC: Bird's-Eye View Assisted Training for Depth Completion Wending Zhou, Xu Yan, Yinghong Liao, Yuankai Lin, Jin Huang, Gangming Zhao, Shuguang Cui, Zhen Li

NeurIPSW 2023 Can LLMs Effectively Leverage Graph Structural Information: When and Why Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

JAIR 2023 Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation Xuebin Zhou, Zhibin Hu, Jin Huang, Jian Chen

ICML 2023 HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang

ECML-PKDD 2023 Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang

WACV 2023 UVCGAN: UNet Vision Transformer Cycle-Consistent GAN for Unpaired Image-to-Image Translation Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren

LoG 2022 Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei

AAAI 2018 Energy-Efficient Automatic Train Driving by Learning Driving Patterns Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu

AAAI 2018 Hypergraph Learning with Cost Interval Optimization Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao

AAAI 2018 Selecting Proper Multi-Class SVM Training Methods Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang

IJCAI 2015 A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering Jin Huang, Feiping Nie, Heng Huang

AAAI 2015 On Machine Learning Towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang

AAAI 2013 Robust Discrete Matrix Completion Jin Huang, Feiping Nie, Heng Huang

IJCAI 2013 Social Trust Prediction Using Rank-K Matrix Recovery Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding

AAAI 2013 Spectral Rotation Versus K-Means in Spectral Clustering Jin Huang, Feiping Nie, Heng Huang

AAAI 2013 Supervised and Projected Sparse Coding for Image Classification Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong

ECML-PKDD 2008 Proper Model Selection with Significance Test Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin

IJCAI 2007 Constructing New and Better Evaluation Measures for Machine Learning Jin Huang, Charles X. Ling

IJCAI 2003 AUC: A Statistically Consistent and More Discriminating Measure than Accuracy Charles X. Ling, Jin Huang, Harry Zhang