Li, Yaliang

41 publications

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

NeurIPS 2025 Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models Die Chen, Zhiwen Li, Cen Chen, Yuexiang Xie, Xiaodan Li, Jinyan Ye, Yingda Chen, Yaliang Li

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

NeurIPS 2025 Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen

IJCAI 2025 ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen

ICLR 2025 Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li

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

NeurIPS 2025 MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

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

ICLR 2025 Safety Layers in Aligned Large Language Models: The Key to LLM Security Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li

AAAI 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-Based Model Optimizers Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen

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

NeurIPS 2024 Federated Fine-Tuning of Large Language Models Under Heterogeneous Tasks and Client Resources Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li

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

ICLR 2024 TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong

NeurIPS 2024 Transferability Bound Theory: Exploring Relationship Between Adversarial Transferability and Flatness Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li

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

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

AAAI 2021 Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen

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

AAAI 2020 Attentive User-Engaged Adversarial Neural Network for Community Question Answering Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei

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

IJCAI 2020 Entity Synonym Discovery via Multipiece Bilateral Context Matching Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu

AAAI 2020 Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

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

AAAI 2020 On the Generation of Medical Question-Answer Pairs Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan

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

IJCAI 2019 Data Poisoning Attack Against Knowledge Graph Embedding Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

AAAI 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

IJCAI 2017 A Correlated Topic Model Using Word Embeddings Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang

AAAI 2014 Crowdsourcing for Multiple-Choice Question Answering Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas