Volume Ranking and Sequential Selection in Programmatic Display Advertising. - Yuxuan Song 002; Kan Ren; Han Cai; Weinan Zhang 001; Yong Yu 001 (CIKM, 2017)

Activation Maximization Generative Adversarial Nets. - Zhiming Zhou 001; Han Cai; Shu Rong; Yuxuan Song 002; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ICLR (Poster), 2018)

Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. - Zhiming Zhou 001; Yuxuan Song 002; Lantao Yu; Yong Yu 001 (CoRR, 2018)

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. - Guansong Lu; Zhiming Zhou 001; Yuxuan Song 002; Kan Ren; Yong Yu 001 (AAAI, 2019)

Lipschitz Generative Adversarial Nets. - Zhiming Zhou 001; Jiadong Liang; Yuxuan Song 002; Lantao Yu; Hongwei Wang 004; Weinan Zhang 001; Yong Yu 001; Zhihua Zhang 004 (ICML, 2019)

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. - Zhiming Zhou 001; Jian Shen 003; Yuxuan Song 002; Weinan Zhang 001; Yong Yu 001 (CoRR, 2019)

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. - Yuxuan Song 002; Minkai Xu; Lantao Yu; Hao Zhou 012; Shuo Shao 001; Yong Yu 001 (AAAI, 2020)

Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. - Ning Miao; Yuxuan Song 002; Hao Zhou 012; Lei Li 005 (ACL, 2020)

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. - Yuxuan Song 002; Ning Miao; Hao Zhou 012; Lantao Yu; Mingxuan Wang; Lei Li 005 (AISTATS, 2020)

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. - Yuxuan Song 002; Lantao Yu; Zhangjie Cao; Zhiming Zhou 001; Jian Shen 003; Shuo Shao 001; Weinan Zhang 001; Yong Yu 001 (ECAI, 2020)

Follow Your Path: A Progressive Method for Knowledge Distillation. - Wenxian Shi; Yuxuan Song 002; Hao Zhou 012; Bohan Li; Lei Li 005 (ECML/PKDD (3), 2021)

Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. - Bo Qiang; Yuxuan Song 002; Minkai Xu; Jingjing Gong; Bowen Gao; Hao Zhou 012; Wei-Ying Ma; Yanyan Lan (ICML, 2023)

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. - Yuxuan Song 002; Jingjing Gong; Minkai Xu; Ziyao Cao; Yanyan Lan; Stefano Ermon; Hao Zhou 012; Wei-Ying Ma (NeurIPS, 2023)

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. - Yiming Wang 011; Yuxuan Song 002; Minkai Xu; Rui Wang 015; Hao Zhou 012; Weiying Ma (CoRR, 2023)

Equivariant Flow Matching with Hybrid Probability Transport. - Yuxuan Song 002; Jingjing Gong; Minkai Xu; Ziyao Cao; Yanyan Lan; Stefano Ermon; Hao Zhou 012; Wei-Ying Ma (CoRR, 2023)

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks. - Yuxuan Song 002; Jingjing Gong; Hao Zhou 012; Mingyue Zheng; Jingjing Liu; Wei-Ying Ma (ICLR, 2024)

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. - Yanru Qu; Keyue Qiu; Yuxuan Song 002; Jingjing Gong; Jiawei Han 001; Mingyue Zheng; Hao Zhou 012; Wei-Ying Ma (ICML, 2024)

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks. - Yuxuan Song 002; Jingjing Gong; Yanru Qu; Hao Zhou 012; Mingyue Zheng; Jingjing Liu; Wei-Ying Ma (CoRR, 2024)

f-PO: Generalizing Preference Optimization with f-divergence Minimization. - Jiaqi Han; Mingjian Jiang; Yuxuan Song 002; Jure Leskovec; Stefano Ermon; Minkai Xu (CoRR, 2024)

Structure-Based Molecule Optimization via Gradient-Guided Bayesian Update. - Keyue Qiu; Yuxuan Song 002; Jie Yu; Hongbo Ma; Ziyao Cao; Zhilong Zhang; Yushuai Wu; Mingyue Zheng; Hao Zhou 012; Wei-Ying Ma (CoRR, 2024)

f-PO: Generalizing Preference Optimization with f-divergence Minimization. - Jiaqi Han; Mingjian Jiang; Yuxuan Song 002; Stefano Ermon; Minkai Xu (AISTATS, 2025)

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. - Yiming Wang 011; Yuxuan Song 002; Yiqun Wang; Minkai Xu; Rui Wang 015; Hao Zhou 012; Wei-Ying Ma (AISTATS, 2025)

Steering Protein Family Design through Profile Bayesian Flow. - Jingjing Gong; Yu Pei; Siyu Long; Yuxuan Song 002; Zhe Zhang; Wenhao Huang 001; Ziyao Cao; Shuyi Zhang; Hao Zhou 012; Wei-Ying Ma (ICLR, 2025)

A Periodic Bayesian Flow for Material Generation. - Hanlin Wu; Yuxuan Song 002; Jingjing Gong; Ziyao Cao; Yawen Ouyang; Jianbing Zhang; Hao Zhou 012; Wei-Ying Ma; Jingjing Liu (ICLR, 2025)

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule. - Keyue Qiu; Yuxuan Song 002; Zhehuan Fan; Peidong Liu; Zhe Zhang; Mingyue Zheng; Hao Zhou 012; Wei-Ying Ma (ICML, 2025)

Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks. - Keyue Qiu; Yuxuan Song 002; Jie Yu; Hongbo Ma; Ziyao Cao; Zhilong Zhang; Yushuai Wu; Mingyue Zheng; Hao Zhou 012; Wei-Ying Ma (ICML, 2025)

Smooth Interpolation for Improved Discrete Graph Generative Models. - Yuxuan Song 002; Juntong Shi; Jingjing Gong; Minkai Xu; Stefano Ermon; Hao Zhou 012; Wei-Ying Ma (ICML, 2025)

DAPO: An Open-Source LLM Reinforcement Learning System at Scale. - Qiying Yu; Zheng Zhang 001; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Yu Yue; Tiantian Fan; Gaohong Liu; Lingjun Liu; Xin Liu 039; Haibin Lin; Zhiqi Lin; et al. (CoRR, 2025)

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model. - Changze Lv; Jiang Zhou; Siyu Long; Lihao Wang; Jiangtao Feng; Dongyu Xue; Yu Pei; Hao Wang; Zherui Zhang; Yuchen Cai; Zhiqiang Gao; Ziyuan Ma; et al. (CoRR, 2025)

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM. - Chengyue Gong; Xinshi Chen; Yuxuan Zhang; Yuxuan Song 002; Hao Zhou 012; Wenzhi Xiao (CoRR, 2025)

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference. - Yuxuan Song 002; Zheng Zhang 001; Cheng Luo; Pengyang Gao; Fan Xia; Hao Luo; Zheng Li; Yuehang Yang; Hongli Yu; Xingwei Qu; Yuwei Fu; Jing Su; et al. (CoRR, 2025)

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation. - Yuxuan Song 002; Zhe Zhang; Yu Pei; Jingjing Gong; Qiying Yu; Zheng Zhang 001; Mingxuan Wang; Hao Zhou 012; Jingjing Liu; Wei-Ying Ma (CoRR, 2025)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space. - Xingwei Qu; Shaowen Wang; Zihao Huang; Kai Hua; Fan Yin; Rui-Jie Zhu 003; Jundong Zhou; Qiyang Min; Zihao Wang; Yizhi Li; Tianyu Zhang; He Xing; et al. (CoRR, 2025)

ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer. - Jinyi Hu; Shengding Hu; Yuxuan Song 002; Yufei Huang 008; Mingxuan Wang; Hao Zhou 012; Zhiyuan Liu 001; Wei-Ying Ma; Maosong Sun 001 (Trans. Mach. Learn. Res., 2026)