Wang, Chenglong

13 publications

ICML 2025 GRAM: A Generative Foundation Reward Model for Reward Generalization Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

NeurIPS 2025 MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization Chenglong Wang, Yang Gan, Hang Zhou, Chi Hu, Yongyu Mu, Kai Song, MuRun Yang, Bei Li, Chunliang Zhang, Tongran Liu, JingBo Zhu, Zhengtao Yu, Tong Xiao

AAAI 2025 Region-Based Optimization in Continual Learning for Audio Deepfake Detection Yujie Chen, Jiangyan Yi, Cunhang Fan, Jianhua Tao, Yong Ren, Siding Zeng, Chu Yuan Zhang, Xinrui Yan, Hao Gu, Jun Xue, Chenglong Wang, Zhao Lv, Xiaohui Zhang

AAAI 2025 RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

AAAI 2024 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu

ICLR 2024 Is Self-Repair a Silver Bullet for Code Generation? Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama

AAAI 2024 What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection Xiaohui Zhang, Jiangyan Yi, Chenglong Wang, Chu Yuan Zhang, Siding Zeng, Jianhua Tao

ICML 2023 Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang

ICLR 2023 Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao

CVPRW 2022 A Coarse-to-Fine Boundary Localization Method for Naturalistic Driving Action Recognition Guanchen Ding, Wenwei Han, Chenglong Wang, Mingpeng Cui, Lin Zhou, Dianbo Pan, Jiayi Wang, Junxi Zhang, Zhenzhong Chen

NeurIPS 2022 Fault-Aware Neural Code Rankers Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madanlal Musuvathi, Jianfeng Gao

NeurIPS 2019 Learning Transferable Graph Exploration Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

ICMLW 2018 Execution-Guided Neural Program Decoding Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh