Ding, Bolin

36 publications

ICLR 2025 Agent-Oriented Planning in Multi-Agent Systems Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li

ICML 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

NeurIPS 2025 Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models Daoyuan Chen, Yilun Huang, Xuchen Pan, Jiang Nana, Haibin Wang, Yilei Zhang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou

ICML 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-Development Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou

TMLR 2025 Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CVPR 2025 Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen

ICML 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

ICML 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

NeurIPS 2025 Provable Scaling Laws for the Test-Time Compute of Large Language Models Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

CVPR 2025 Provoking Multi-Modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning Cheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li

NeurIPS 2025 RePO: Understanding Preference Learning Through ReLU-Based Optimization Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

ICLR 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

ICLR 2025 What Is Wrong with Perplexity for Long-Context Language Modeling? Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang

NeurIPS 2024 $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

ICML 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

ICLR 2024 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

ICML 2024 EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

ICML 2024 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost Under 18 Kilobytes Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng

ICLR 2024 Improving LoRA in Privacy-Preserving Federated Learning Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding

ICML 2023 Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

ICML 2023 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

ICLR 2023 Learned Index with Dynamic $\epsilon$ Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

NeurIPS 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei

NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang

ICLR 2022 iFlood: A Stable and Effective Regularizer Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding

NeurIPS 2022 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding

IJCAI 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

ICLR 2020 Automated Relational Meta-Learning Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

IJCAI 2020 Intent Preference Decoupling for User Representation on Online Recommender System Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen

NeurIPS 2020 Learning to Mutate with Hypergradient Guided Population Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu

NeurIPS 2020 Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

ICML 2020 Simple and Deep Graph Convolutional Networks Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li

NeurIPS 2019 An Algorithmic Framework for Differentially Private Data Analysis on Trusted Processors Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin

AAAI 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

AAAI 2018 Comparing Population Means Under Local Differential Privacy: With Significance and Power Bolin Ding, Harsha Nori, Paul Li, Joshua Allen

NeurIPS 2017 Collecting Telemetry Data Privately Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin