Ruofan Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
16
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Agentic Verification for Ambiguous Query Disambiguation. | Youngwon Lee, Seung-won Hwang, Ruofan Wu, Feng Yan, Danmei Xu, Moutasem Akkad, Zhewei Yao, Yuxiong He |
| 2026 | ASPLOS | TetriServe: Efficiently Serving Mixed DiT Workloads. | Runyu Lu, Shiqi He, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury |
| 2025 | CogSci | Language Control during Bilingual Word Production in Cantonese-English Speaking Autistic and Typically Developing Children. | Ruofan Wu, Haoyan Ge, Xiaocong Chen, Caicai Zhang |
| 2025 | ICML | Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator. | Junmin Zhong, Emiliano Quiones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang, Jennie Si |
| 2025 | USENIX | PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules. | Ruofan Wu, Zhen Zheng, Feng Zhang, Chuanjie Liu, Zaifeng Pan, Jidong Zhai, Xiaoyong Du |
| 2024 | ICLR | A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. | Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen |
| 2024 | KDD | Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. | Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen |
| 2024 | SC | RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. | Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding |
| 2023 | AAAI | Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. | Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng |
| 2023 | ASPLOS | RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. | Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du |
| 2023 | CIKM | A Momentum Loss Reweighting Method for Improving Recall. | Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang |
| 2023 | CIKM | GUARD: Graph Universal Adversarial Defense. | Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang |
| 2023 | ICDM | Self-supervision meets kernel graph neural models: From architecture to augmentations. | Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang |
| 2023 | KDD | What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. | Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang |
| 2023 | WWW | Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. | Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin |
| 2022 | ICDM | GRANDE: a neural model over directed multigraphs with application to anti-money laundering. | Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang |
| 2022 | KDD | Design Domain Specific Neural Network via Symbolic Testing. | Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi |
| 2022 | OSDI | ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. | Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko |
| 2022 | WWW | DREW: Efficient Winograd CNN Inference with Deep Reuse. | Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen |
| 2021 | CIKM | Self-supervised Representation Learning on Dynamic Graphs. | Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong |
| 2021 | PPoPP | Exploring deep reuse in winograd CNN inference. | Ruofan Wu, Feng Zhang, Zhen Zheng, Xiaoyong Du, Xipeng Shen |
| 2020 | ICPP | CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. | Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang |
| 2016 | SIGGRAPH | Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application. | Serguei A. Mokhov, Miao Song, Jonathan Llewellyn, Jie Zhang, Alexander Charette, Ruofan Wu, Shuiying Ge |