ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. - Zhuohan Yu; Yifu Lu; Yunhe Wang 002; Fan Tang; Ka-Chun Wong; Xiangtao Li (AAAI, 2022)

GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. - Yifu Lu; Zhuohan Yu; Yunhe Wang 006; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

Dissecting Distribution Inference. - Anshuman Suri; Yifu Lu; Yanjin Chen; David Evans 001 (SaTML, 2023)

The Emergence of Reproducibility and Consistency in Diffusion Models. - Huijie Zhang; Jinfan Zhou; Yifu Lu; Minzhe Guo; Liyue Shen; Qing Qu 001 (CoRR, 2023)

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. - Huijie Zhang; Yifu Lu; Ismail Alkhouri; Saiprasad Ravishankar; Dogyoon Song; Qing Qu 001 (CoRR, 2023)

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. - Huijie Zhang; Yifu Lu; Ismail Alkhouri; Saiprasad Ravishankar; Dogyoon Song; Qing Qu 001 (CVPR, 2024)

The Emergence of Reproducibility and Consistency in Diffusion Models. - Huijie Zhang; Jinfan Zhou; Yifu Lu; Minzhe Guo; Peng Wang 098; Liyue Shen; Qing Qu 001 (ICML, 2024)

Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing. - Siyi Chen; Huijie Zhang; Minzhe Guo; Yifu Lu; Peng Wang 098; Qing Qu 001 (NeurIPS, 2024)

ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling. - Haizhong Zheng; Elisa Tsai; Yifu Lu; Jiachen Sun; Brian R. Bartoldson; Bhavya Kailkhura; Atul Prakash 001 (CoRR, 2024)

Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing. - Siyi Chen; Huijie Zhang; Minzhe Guo; Yifu Lu; Peng Wang 098; Qing Qu 001 (CoRR, 2024)

TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. - Jiahao Qiu; Yifu Lu; Yifan Zeng; Jiacheng Guo; Jiayi Geng; Huazheng Wang; Kaixuan Huang; Yue Wu; Mengdi Wang (CoRR, 2024)

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. - Ziyang Wu; Tianjiao Ding; Yifu Lu; Druv Pai; Jingyuan Zhang; Weida Wang; Yaodong Yu; Yi Ma 001; Benjamin David Haeffele (ICLR, 2025)

ELFS: Label-Free Coreset Selection with Proxy Training Dynamics. - Haizhong Zheng; Elisa Tsai; Yifu Lu; Jiachen Sun; Brian R. Bartoldson; Bhavya Kailkhura; Atul Prakash 001 (ICLR, 2025)

On Path to Multimodal Historical Reasoning: HistBench and HistAgent. - Jiahao Qiu; Fulian Xiao; Yimin Wang; Yuchen Mao; Yijia Chen; Xinzhe Juan; Siran Wang; Xuan Qi; Tongcheng Zhang; Zixin Yao; Jiacheng Guo; Yifu Lu; et al. (CoRR, 2025)

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. - Jiahao Qiu; Xuan Qi; Tongcheng Zhang; Xinzhe Juan; Jiacheng Guo; Yifu Lu; Yimin Wang; Zixin Yao; Qihan Ren; Xun Jiang; Xing Zhou; Dongrui Liu; et al. (CoRR, 2025)

Attention-Only Transformers via Unrolled Subspace Denoising. - Peng Wang 098; Yifu Lu; Yaodong Yu; Druv Pai; Qing Qu 001; Yi Ma 001 (CoRR, 2025)

Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models. - Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Yifu Lu; Mengdi Wang; Dinesh Manocha; Furong Huang; Mohammad Ghavamzadeh; Amrit Singh Bedi (CoRR, 2025)

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes. - Jiahao Qiu; Xinzhe Juan; Yimin Wang; Ling Yang; Xuan Qi; Tongcheng Zhang; Jiacheng Guo; Yifu Lu; Zixin Yao; Hongru Wang 003; Shilong Liu; Xun Jiang; et al. (CoRR, 2025)