Bingyi Jing

40 papers A* 9Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anytime Safe PAC Efficient Reasoning.
CoRR
Chengyao Yu, Hao Zeng, Youxin Zhu, Jianguo Huang, Huajun Zeng, Bingyi Jing
2026 J jnl
Conditional Performance Guarantee for Large Reasoning Models.
CoRR
Jianguo Huang, Hao Zeng, Bingyi Jing, Hongxin Wei, Bo An
2026 J jnl
HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees.
CoRR
Hao Zeng, Huipeng Huang, Xinhao Qu, Jianguo Huang, Bingyi Jing, Hongxin Wei
2026 J jnl
Natural Language-Driven Global Mapping of Martian Landforms.
CoRR
Yiran Wang, Shuoyuan Wang, Zhaoran Wei, Jiannan Zhao, Zhonghua Yao, Zejian Xie, Songxin Zhang, Jun Huang, Bingyi Jing, Hongxin Wei
2026 J jnl
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models.
CoRR
Sai Hao, Hao Zeng, Hongxin Wei, Bingyi Jing
2026 J jnl
Semi-supervised image rain removal using mutual consistency of rain kernel dictionaries.
Knowl. Based Syst.
Mingdi Hu, Ruifang Zhang, Yisi Luo, Bingyi Jing, Deyu Meng
2026 J jnl
Toward Early Quality Assessment of Text-to-Image Diffusion Models.
CoRR
Huanlei Guo, Hongxin Wei, Bingyi Jing
2026 J jnl
Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems.
CoRR
Wanxing Wu, He Zhu, Yixia Li, Lei Yang, Jiehui Zhao, Hongru Wang, Jian Yang, Benyou Wang, Bingyi Jing, Guanhua Chen
2025 — conf
Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations.
ECML/PKDD (5)
Kexin Shi, Wenjia Wang, Bingyi Jing
2025 A* conf
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution.
ICLR
Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang
2025 A* conf
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.
ICLR
Linjiajie Fang, Ruoxue Liu, Jing Zhang, Wenjia Wang, Bingyi Jing
2025 J jnl
Exploring Imbalanced Annotations for Effective In-Context Learning.
CoRR
Hongfu Gao, Feipeng Zhang, Hao Zeng, Deyu Meng, Bingyi Jing, Hongxin Wei
2025 A* conf
Exploring Learning Complexity for Efficient Downstream Dataset Pruning.
ICLR
Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei
2025 A* conf
Fine-tuning can Help Detect Pretraining Data from Large Language Models.
ICLR
Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei
2025 J jnl
ISTD-DLA: Industrial Scene Text Detection Method Based on Dynamic Local-Aware Aggregation Network.
IEEE Signal Process. Lett.
Mingdi Hu, Yize Yang, Helin Yu, Bingyi Jing
2025 A* conf
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution.
ICLR
Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu
2025 J jnl
Multi-Condition Conformal Selection.
CoRR
Qingyang Hao, Wenbo Liao, Bingyi Jing, Hongxin Wei
2025 J jnl
PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning.
CoRR
Hao Zeng, Jianguo Huang, Bingyi Jing, Hongxin Wei, Bo An
2025 A* conf
Parametric Scaling Law of Tuning Bias in Conformal Prediction.
ICML
Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei
2025 J jnl
Parametric Scaling Law of Tuning Bias in Conformal Prediction.
CoRR
Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei
2025 J jnl
RITD: Real-time industrial text detection with boundary- and pixel-aware modules.
Displays
Yize Yang, Mingdi Hu, Jianxun Yu, Bingyi Jing
2025 J jnl
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score.
CoRR
Xuanning Zhou, Hao Zeng, Xiaobo Xia, Bingyi Jing, Hongxin Wei
2025 J jnl
TorchCP: A Python Library for Conformal Prediction.
J. Mach. Learn. Res.
Jianguo Huang, Jianqing Song, Xuanning Zhou, Bingyi Jing, Hongxin Wei
2024 J jnl
ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models.
CoRR
Hengxiang Zhang, Hongfu Gao, Qiang Hu, Guanhua Chen, Lili Yang, Bingyi Jing, Hongxin Wei, Bing Wang, Haifeng Bai, Lei Yang
2024 A* conf
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning.
NeurIPS
Ruoxue Liu, Linjiajie Fang, Wenjia Wang, Bingyi Jing
2024 J jnl
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems.
CoRR
Kexin Shi, Jing Zhang, Linjiajie Fang, Wenjia Wang, Bingyi Jing
2024 J jnl
Exploring Learning Complexity for Downstream Data Pruning.
CoRR
Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei
2024 J jnl
Fine-tuning can Help Detect Pretraining Data from Large Language Models.
CoRR
Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei
2024 J jnl
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution.
CoRR
Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu
2024 J jnl
PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.
Bioinform.
Kexin Shi, Yuanpeng Xiong, Yu Wang, Yifan Deng, Wenjia Wang, Bingyi Jing, Xin Gao
2024 J jnl
Prior-DualGAN: Rain rendering from coarse to fine.
Signal Process. Image Commun.
Mingdi Hu, Jingbing Yang, Jianxun Yu, Bingyi Jing
2024 A* conf
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model.
NeurIPS
Jing Zhang, Linjiajie Fang, Kexin Shi, Wenjia Wang, Bingyi Jing
2024 J jnl
Subsampling spectral clustering for stochastic block models in large-scale networks.
Comput. Stat. Data Anal.
Jiayi Deng, Danyang Huang, Yi Ding, Yingqiu Zhu, Bingyi Jing, Bo Zhang
2023 A* conf
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning.
NeurIPS
Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing
2023 J jnl
DAGL-Faster: Domain adaptive faster r-cnn for vehicle object detection in rainy and foggy weather conditions.
Displays
Mingdi Hu, Yi Wu, Yize Yang, Jiulun Fan, Bingyi Jing
2023 J jnl
Data Upcycling Knowledge Distillation for Image Super-Resolution.
CoRR
Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang
2023 J jnl
Grouped spatial autoregressive model.
Comput. Stat. Data Anal.
Danyang Huang, Wei Hu, Bingyi Jing, Bo Zhang
2023 J jnl
High-Dimensional Volatility Matrix Estimation with Cross-Sectional Dependent and Heavy-Tailed Microstructural Noise.
J. Syst. Sci. Complex.
Wanwan Liang, Ben Wu, Xinyan Fan, Bingyi Jing, Bo Zhang
2022 J jnl
Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems.
CoRR
Kexin Shi, Yun Zhang, Bingyi Jing, Wenjia Wang
2021 J jnl
Subsampling Spectral Clustering for Large-Scale Social Networks.
CoRR
Jiayi Deng, Yi Ding, Yingqiu Zhu, Danyang Huang, Bingyi Jing, Bo Zhang