Publications (32)
Conditional Performance Guarantee for Large Reasoning Models
Jianguo Huang, Hao Zeng, Bingyi Jing +2
Toward Early Quality Assessment of Text-to-Image Diffusion Models
Huanlei Guo, Hongxin Wei, Bingyi Jing
TorchCP: A Python Library for Conformal Prediction
Jianguo Huang, Jianqing Song, Xuanning Zhou +2
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
Xuanning Zhou, Zihao Shi, Hao Zeng +3
Multi-Condition Conformal Selection
Qingyang Hao, Wenbo Liao, Bingyi Jing +1
Data Upcycling Knowledge Distillation for Image Super-Resolution
Yun Zhang, Wei Li, Simiao Li +6
A generalized e-value feature detection method with FDR control at multiple resolutions
Chengyao Yu, Ruixing Ming, Min Xiao +2
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects
Junyu Lu, Dixiang Zhang, Songxin Zhang +6
Enhancing Recommender Systems: A Strategy to Mitigate False Negative Impact
Kexin Shi, Yun Zhang, Bingyi Jing +1
FAIR-Pruner: A Flexible Framework for Automatic Layer-Wise Pruning via Tolerance of Difference
Chenqing Lin, Mostafa Hussien, Chengyao Yu +4
Covariance Matrix Estimation for High-Dimensional Interval-Valued Data with Positive Definiteness
Wan Tian, Wenhao Cui, Rui Zhang +3
Natural Language-Driven Global Mapping of Martian Landforms
Yiran Wang, Shuoyuan Wang, Zhaoran Wei +7
Exploring Imbalanced Annotations for Effective In-Context Learning
Hongfu Gao, Feipeng Zhang, Hao Zeng +3
Joint Estimation of Edge Probabilities for Multi-layer Networks via Neighborhood Smoothing
Yong He, Zizhou Huang, Bingyi Jing +1
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
Simiao Li, Yun Zhang, Wei Li +5
On the Provable Performance Guarantee of Efficient Reasoning Models
Hao Zeng, Jianguo Huang, Bingyi Jing +2
Exploring Learning Complexity for Efficient Downstream Dataset Pruning
Wenyu Jiang, Zhenlong Liu, Zejian Xie +3
Adaptive Scaling
Ting Li, Bingyi Jing, Ningchen Ying +1
Leveraging Shared Factor Structures for Enhanced Matrix Completion with Nonconvex Penalty Regularization
Yuanhong A, Xinyan Fan, Bingyi Jing +1
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
Kexin Shi, Jing Zhang, Linjiajie Fang +2
Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
Wanxing Wu, He Zhu, Yixia Li +7
Subsampling Spectral Clustering for Large-Scale Social Networks
Jiayi Deng, Yi Ding, Yingqiu Zhu +3
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
Sai Hao, Hao Zeng, Hongxin Wei +1
Anytime Safe PAC Efficient Reasoning
Chengyao Yu, Hao Zeng, Youxin Zhu +3
StatABench: Dataset and Framework for Evaluating Statistical Analysis Capabilities of LLMs
Youxin Zhu, Yixuan Ding, Peng Lai +3
ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models
Hengxiang Zhang, Hongfu Gao, Qiang Hu +7
Robust Conformalized Selection with Noisy Responses
Chengyao Yu, Hongxin Wei, Bingyi Jing
Parametric Scaling Law of Tuning Bias in Conformal Prediction
Hao Zeng, Kangdao Liu, Bingyi Jing +1
HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models
Songxin Zhang, Zejian Xie, Zhuoyang Song +4
BatchWeave: A Consistent Object-Store-Native Data Plane for Large Foundation Model Training
Ting Sun, Junjie Zhang, Xiao Yan +7
Fine-tuning can Help Detect Pretraining Data from Large Language Models
Hengxiang Zhang, Songxin Zhang, Bingyi Jing +1
HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees
Hao Zeng, Huipeng Huang, Xinhao Qu +3