ML Anthology

Yang, Ling

35 publications

ICLR 2026 Generative Universal Verifier as Multimodal Meta-Reasoner Xinchen Zhang, Xiaoying Zhang, Youbin Wu, Yanbin Cao, Renrui Zhang, Ruihang Chu, Ling Yang, Yujiu Yang, Guang Shi
ICLR 2026 MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation Ye Tian, Ling Yang, JiongFan Yang, Anran Wang, Yu Tian, Jiani Zheng, Haochen Wang, Zhiyang Teng, Zhuochen Wang, Yinjie Wang, Yunhai Tong, Mengdi Wang, Xiangtai Li
ICLR 2026 Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Yinjie Wang, Ling Yang, Bowen Li, Ye Tian, Ke Shen, Mengdi Wang
ICLR 2026 UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu
NeurIPS 2025 Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning Yinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang
ICCV 2025 Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Shengyuan Zhang, An Zhao, Ling Yang, Zejian Li, Chenye Meng, Haoran Xu, Tianrun Chen, AnYang Wei, Perry Pengyun Gu, Lingyun Sun
ICLR 2025 Distribution Backtracking Builds a Faster Convergence Trajectory for Diffusion Distillation Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun
ICLR 2025 GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang
NeurIPS 2025 HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui
ICLR 2025 IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan
ICLR 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation Xinchen Zhang, Ling Yang, Guohao Li, YaQi Cai, Xie Jiake, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui
NeurIPS 2025 MMaDA: Multimodal Large Diffusion Language Models Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang
ICCV 2025 Preacher: Paper-to-Video Agentic System Jingwei Liu, Ling Yang, Hao Luo, Fan Wang, Hongyan Li, Mengdi Wang
NeurIPS 2025 ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs Jiaru Zou, Ling Yang, Jingwen Gu, Jiahao Qiu, Ke Shen, Jingrui He, Mengdi Wang
ICLR 2025 Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li
ICLR 2025 SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan
ICLRW 2025 Temporal Consistency for LLM Reasoning Process Error Identification Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang
AAAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui
NeurIPS 2025 Transformer Copilot: Learning from the Mistake Log in LLM Fine-Tuning Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
AAAI 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
NeurIPS 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
ICLR 2024 Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
NeurIPS 2024 Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang
ICML 2024 Interaction-Based Retrieval-Augmented Diffusion Models for Protein-Specific 3D Molecule Generation Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang
ICML 2024 Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
NeurIPS 2024 RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
NeurIPS 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
CVPR 2024 Structure-Guided Adversarial Training of Diffusion Models Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui
ICLR 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
NeurIPS 2024 VideoTetris: Towards Compositional Text-to-Video Generation Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui
NeurIPS 2023 Improving Diffusion-Based Image Synthesis with Context Prediction Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
ICML 2022 Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang, Shenda Hong
ICML 2022 Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang, Shenda Hong
CVPR 2020 DPGN: Distribution Propagation Graph Network for Few-Shot Learning Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu