Cui, Bin

46 publications

ICLR 2026 FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding Zheng Liu, Mengjie Liu, Jingzhou Chen, Jingwei Xu, Bin Cui, Conghui He, Wentao Zhang

ICLR 2026 Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions Lu Ma, Hao Liang, Meiyi Qiang, Lexiang Tang, Xiaochen Ma, Zhen Hao Wong, Junbo Niu, Chengyu Shen, Runming He, Yanhao Li, Wentao Zhang, Bin Cui

NeurIPS 2025 BRACE: A Benchmark for Robust Audio Caption Quality Evaluation Tianyu Guo, Hongyu Chen, Hao Liang, Meiyi Qiang, Bohan Zeng, Linzhuang Sun, Bin Cui, Wentao Zhang

ICML 2025 Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki

ICLR 2025 Facilitating Multi-Turn Function Calling for LLMs via Compositional Instruction Tuning Mingyang Chen, Sunhaoze, Tianpeng Li, Fan Yang, Hao Liang, KeerLu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen

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 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

ICML 2025 Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-Training Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang

ICLR 2025 NetMoE: Accelerating MoE Training Through Dynamic Sample Placement Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui

ICLR 2025 SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-Wise Optimal Budget Zihao Wang, Bin Cui, Shaoduo Gan

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

ICLR 2025 SysBench: Can LLMs Follow System Message? Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Sunhaoze, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui

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

ICCV 2025 Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui

AAAI 2024 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

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 Efficient Multi-Task LLM Quantization and Serving for Multiple LoRA Adapters Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui

NeurIPS 2024 LSH-MoE: Communication-Efficient MoE Training via Locality-Sensitive Hashing Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui

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

MLOSS 2024 OpenBox: A Python Toolkit for Generalized Black-Box Optimization Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, 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

CVPR 2024 Structure-Guided Adversarial Training of Diffusion Models Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui

NeurIPS 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang

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

IJCAI 2024 X-Former Elucidator: Reviving Efficient Attention for Long Context Language Modeling Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui

AAAI 2023 CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, 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

NeurIPS 2023 Model-Enhanced Vector Index Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

IJCAI 2023 OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui

AAAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

ICML 2022 Deep and Flexible Graph Neural Architecture Search Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

NeurIPS 2022 DivBO: Diversity-Aware CASH for Ensemble Learning Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

ICLR 2022 Information Gain Propagation: A New Way to Graph Active Learning with Soft Labels Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

ICML 2022 NAFS: A Simple yet Tough-to-Beat Baseline for Graph Representation Learning Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

CVPR 2022 PointCLIP: Point Cloud Understanding by CLIP Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li

IJCAI 2021 Challenges and Opportunities of Building Fast GBDT Systems Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui

AAAI 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

NeurIPS 2021 Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

NeurIPS 2021 RIM: Reliable Influence-Based Active Learning on Graphs Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

ICML 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui

AAAI 2020 Efficient Automatic CASH via Rising Bandits Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

AAAI 2014 User Group Oriented Temporal Dynamics Exploration Zhiting Hu, Junjie Yao, Bin Cui

AAAI 2010 Temporal and Social Context Based Burst Detection from Folksonomies Junjie Yao, Bin Cui, Yuxin Huang, Xin Jin