Ruofan Wu - RankMe

79 papers A* 17A 4B 3Journal 50Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science. CoRR Fan Shu, Yite Wang, Ruofan Wu, Boyi Liu, Zhewei Yao, Yuxiong He, Feng Yan
2026	J	`jnl`	Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training. CoRR Ruofan Wu, Jae-Won Chung, Mosharaf Chowdhury
2026	—	`conf`	TetriServe: Efficiently Serving Mixed DiT Workloads. ASPLOS (2) Runyu Lu, Shiqi He, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury
2026	J	`jnl`	Where Do the Joules Go? Diagnosing Inference Energy Consumption. CoRR Jae-Won Chung, Ruofan Wu, Jeff J. Ma, Mosharaf Chowdhury
2025	J	`jnl`	Agentic Verification for Ambiguous Query Disambiguation. CoRR Youngwon Lee, Seung-won Hwang, Ruofan Wu, Feng Yan, Danmei Xu, Moutasem Akkad, Zhewei Yao, Yuxiong He
2025	J	`jnl`	Are Large Language Models In-Context Graph Learners? CoRR Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	J	`jnl`	ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering. CoRR Ruofan Wu, Youngwon Lee, Fan Shu, Danmei Xu, Seung-won Hwang, Zhewei Yao, Yuxiong He, Feng Yan
2025	J	`jnl`	Heterophily-Aware Representation Learning on Heterogeneous Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Jintang Li, Zheng Wei, Yuchang Zhu, Ruofan Wu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	B	`conf`	Language Control during Bilingual Word Production in Cantonese-English Speaking Autistic and Typically Developing Children. CogSci Ruofan Wu, Haoyan Ge, Xiaocong Chen, Caicai Zhang
2025	—	`conf`	PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules. USENIX ATC Ruofan Wu, Zhen Zheng, Feng Zhang, Chuanjie Liu, Zaifeng Pan, Jidong Zhai, Xiaoyong Du
2025	J	`jnl`	Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense. IEEE Trans. Dependable Secur. Comput. Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2025	J	`jnl`	Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data. CoRR Wei Guo, Yiyang Duan, Zhaojun Hu, Yiqi Tong, Fuzhen Zhuang, Xiao Zhang, Jin Dong, Ruofan Wu, Tengfei Liu, Yifan Sun
2025	A*	`conf`	Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator. ICML Junmin Zhong, Emiliano Quiñones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang, Jennie Si
2025	J	`jnl`	TetriServe: Efficient DiT Serving for Heterogeneous Image Generation. CoRR Runyu Lu, Shiqi He, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury
2025	J	`jnl`	The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization. CoRR Jae-Won Chung, Jiachen Liu, Jeff J. Ma, Ruofan Wu, Oh Jun Kweon, Yuxuan Xia, Zhiyu Wu, Mosharaf Chowdhury
2025	J	`jnl`	The role of prior knowledge in second-language learners' overnight consolidation of Cantonese tones. J. Phonetics Quentin Zhen Qin, Rui Jin, Ruofan Wu
2025	J	`jnl`	Toward a unified framework for data-efficient evaluation of large language models. CoRR Lele Liao, Qile Zhang, Ruofan Wu, Guanhua Fang
2025	J	`jnl`	Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures. CoRR Zhiheng Chen, Ruofan Wu, Guanhua Fang
2024	A*	`conf`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
2024	J	`jnl`	Actor-Critic Reinforcement Learning with Phased Actor. CoRR Ruofan Wu, Junmin Zhong, Jennie Si
2024	A*	`conf`	On provable privacy vulnerabilities of graph representations. NeurIPS Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang
2024	J	`jnl`	On provable privacy vulnerabilities of graph representations. CoRR Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao
2024	A	`conf`	RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. SC Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding
2024	A*	`conf`	Resource-Aware Federated Self-Supervised Learning with Global Class Representations. NeurIPS Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2024	A*	`conf`	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD 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	J	`jnl`	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR 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	J	`jnl`	Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. CoRR Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen
2024	A*	`conf`	State Space Models on Temporal Graphs: A First-Principles Study. NeurIPS Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
2024	J	`jnl`	State Space Models on Temporal Graphs: A First-Principles Study. CoRR Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
2024	J	`jnl`	Ultra-imbalanced classification guided by statistical information. CoRR Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing Fu, Weiqiang Wang
2023	J	`jnl`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng
2023	A*	`conf`	A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning. NeurIPS Junmin Zhong, Ruofan Wu, Jennie Si
2023	A	`conf`	A Momentum Loss Reweighting Method for Improving Recall. CIKM Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang
2023	J	`jnl`	A two-stage CNN method for MRI image segmentation of prostate with lesion. Biomed. Signal Process. Control. Zixuan Wang, Ruofan Wu, Yanran Xu, Yi Liu, Ruimei Chai, He Ma
2023	J	`jnl`	DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device. IEEE Trans. Knowl. Data Eng. Feng Zhang, Ruofan Wu, Jiawei Guan, Zhen Zheng, Xiaoguang Guo, Xiao Zhang, Xiaoyong Du, Xipeng Shen
2023	J	`jnl`	FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. CoRR Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang
2023	J	`jnl`	GRANDE: a neural model over directed multigraphs with application to anti-money laundering. CoRR Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang
2023	A	`conf`	GUARD: Graph Universal Adversarial Defense. CIKM Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen
2023	J	`jnl`	LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng
2023	J	`jnl`	Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin
2023	J	`jnl`	Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning. CoRR Junmin Zhong, Ruofan Wu, Jennie Si
2023	A*	`conf`	Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. NeurIPS Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	J	`jnl`	Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	J	`jnl`	Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	A*	`conf`	Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. WWW Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2023	J	`jnl`	Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. CoRR Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2023	—	`conf`	RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. ASPLOS (4) Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du
2023	A*	`conf`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2023	J	`jnl`	Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng
2023	—	`conf`	Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023	J	`jnl`	Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023	A*	`conf`	What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	J	`jnl`	A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. Wentao Liu, Ruofan Wu, Jennie Si, He Huang
2022	A*	`conf`	DREW: Efficient Winograd CNN Inference with Deep Reuse. WWW Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen
2022	A*	`conf`	Design Domain Specific Neural Network via Symbolic Testing. KDD Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2022	A*	`conf`	GRANDE: a neural model over directed multigraphs with application to anti-money laundering. ICDM Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang
2022	J	`jnl`	GUARD: Graph Universal Adversarial Defense. CoRR Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	A*	`conf`	Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. NeurIPS Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si
2022	J	`jnl`	Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. IEEE Robotics Autom. Lett. Wentao Liu, Junmin Zhong, Ruofan Wu, Bretta L. Fylstra, Jennie Si, He Helen Huang
2022	J	`jnl`	Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. CoRR Junmin Zhong, Ruofan Wu, Jennie Si
2022	J	`jnl`	Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud-Edge-End Distributed Computing. IEEE Internet Things J. Xin Wu, Lan You, Ruofan Wu, Qi Zhang, Kaixin Liang
2022	J	`jnl`	MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	A*	`conf`	ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI 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	J	`jnl`	Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. IEEE Robotics Autom. Lett. Ruofan Wu, Minhan Li, Zhikai Yao, Wentao Liu, Jennie Si, He Huang
2022	J	`jnl`	Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. IEEE CAA J. Autom. Sinica Ruofan Wu, Zhikai Yao, Jennie Si, He Helen Huang
2022	J	`jnl`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2022	A*	`conf`	TREC: Transient Redundancy Elimination-based Convolution. NeurIPS Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen
2022	J	`jnl`	sqSGD: Locally Private and Communication Efficient Federated Learning. CoRR Yan Feng, Tao Xiong, Ruofan Wu, LingJuan Lv, Leilei Shi
2021	B	`conf`	Exploring deep reuse in winograd CNN inference. PPoPP Ruofan Wu, Feng Zhang, Zhen Zheng, Xiaoyong Du, Xipeng Shen
2021	J	`jnl`	Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment. CoRR Ruofan Wu, Minhan Li, Zhikai Yao, Jennie Si, He Huang
2021	J	`jnl`	Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning. CoRR Ruofan Wu, Zhikai Yao, Jennie Si, He Huang
2021	J	`jnl`	SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. CoRR Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2021	A	`conf`	Self-supervised Representation Learning on Dynamic Graphs. CIKM Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong
2021	J	`jnl`	Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. CoRR Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao
2021	J	`jnl`	YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve. IEEE Trans. Parallel Distributed Syst. Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
2020	B	`conf`	CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. ICPP Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
2016	—	`conf`	Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application. SIGGRAPH Posters Serguei A. Mokhov, Miao Song, Jonathan Llewellyn, Jie Zhang, Alexander Charette, Ruofan Wu, Shuiying Ge