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2020 – today
- 2025
[c7]Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele:
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. ICLR 2025- [c6]Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash:
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics. ICLR 2025 - [i13]Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang:
On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR abs/2505.20246 (2025) - [i12]Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang:
Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. CoRR abs/2505.20286 (2025) - [i11]Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma:
Attention-Only Transformers via Unrolled Subspace Denoising. CoRR abs/2506.03790 (2025) - [i10]Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi:
Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models. CoRR abs/2506.04210 (2025) - [i9]Jiahao Qiu, Xinzhe Juan, Yimin Wang, Ling Yang, Xuan Qi, Tongcheng Zhang, Jiacheng Guo, Yifu Lu, Zixin Yao, Hongru Wang, Shilong Liu, Xun Jiang, Liu Leqi, Mengdi Wang:
AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes. CoRR abs/2506.14728 (2025) - [i8]Yifu Lu, Shengjie Liu, Li Dong:
OrchDAG: Complex Tool Orchestration in Multi-Turn Interactions with Plan DAGs. CoRR abs/2510.24663 (2025) - 2024
- [c5]Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu:
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. CVPR 2024: 7372-7381 - [c4]Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu
:
The Emergence of Reproducibility and Consistency in Diffusion Models. ICML 2024 - [c3]Siyi Chen, Huijie Zhang, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu:
Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing. NeurIPS 2024 - [i7]Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash:
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling. CoRR abs/2406.04273 (2024) - [i6]Siyi Chen, Huijie Zhang, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu:
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing. CoRR abs/2409.02374 (2024) - [i5]Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang:
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. CoRR abs/2410.16033 (2024) - [i4]Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin D. Haeffele:
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. CoRR abs/2412.17810 (2024) - 2023
- [c2]Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans:
Dissecting Distribution Inference. SaTML 2023: 150-164 - [i3]Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu:
The Emergence of Reproducibility and Consistency in Diffusion Models. CoRR abs/2310.05264 (2023) - [i2]Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu:
Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. CoRR abs/2312.09181 (2023) - 2022
- [j1]Yifu Lu, Zhuohan Yu, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li:
GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. Bioinform. 38(11): 3020-3028 (2022) - [c1]Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li:
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. AAAI 2022: 4671-4679 - [i1]Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans:
Dissecting Distribution Inference. CoRR abs/2212.07591 (2022)
Coauthor Index
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