Cheng, Jie

21 publications

ICLR 2025 Ada-K Routing: Boosting the Efficiency of MoE-Based LLMs Tongtian Yue, Longteng Guo, Jie Cheng, Xuange Gao, Hua Huang, Jing Liu

ICLR 2025 Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv

NeurIPS 2025 Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning Jie Cheng, Gang Xiong, Ruixi Qiao, Lijun Li, Chao Guo, Junle Wang, Yisheng Lv, Fei-Yue Wang

WACV 2024 Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

ICML 2024 RIME: Robust Preference-Based Reinforcement Learning with Noisy Preferences Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang

CVPR 2024 SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu

CVPRW 2024 Toward Motion Robustness: A Masked Attention Regularization Framework in Remote Photoplethysmography Pengfei Zhao, Qigong Sun, Xiaolin Tian, Yige Yang, Shuo Tao, Jie Cheng, Jiantong Chen

CVPR 2023 DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

ICCV 2023 Forecast-MAE: Self-Supervised Pre-Training for Motion Forecasting with Masked Autoencoders Jie Cheng, Xiaodong Mei, Ming Liu

ICCV 2023 Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong

NeurIPS 2023 Learning and Processing the Ordinal Information of Temporal Sequences in Recurrent Neural Circuits Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi

CVPR 2023 Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He

ICCV 2023 Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo

NeurIPS 2022 Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao

CVPR 2022 Discrete Time Convolution for Fast Event-Based Stereo Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng

CVPR 2021 Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha

UAI 1999 Comparing Bayesian Network Classifiers Jie Cheng, Russell Greiner

AISTATS 1997 An Algorithm for Bayesian Network Construction from Data Jie Cheng, David A. Bell, Weiru Liu

IJCAI 1989 Ordering Problem Subgoals Jie Cheng, Keki B. Irani

ICML 1988 Improved Decision Trees: A Generalized Version of ID3 Jie Cheng, Usama M. Fayyad, Keki B. Irani, Zhaogang Qian

IJCAI 1987 Subgoal Ordering and Goal Augmentation for Heuristic Problem Solving Keki B. Irani, Jie Cheng