Ren Wang

Ren Wang

Assistant Professor

Publications

* denotes students under my supervision/co-supervision

Trustworthy/Population-Based Machine Learning

  1. Xu Zhang*, Kaidi Xu, Ziqing Hu, Ren Wang, “Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach,” International Conference on Machine Learning (ICML) 2025 (acceptance rate=3228/12000=26.9%)

  2. Wei Li*, Pin-Yu Chen, Sijia Liu, Ren Wang, “PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection,” Conference on Computer Vision and Pattern Recognition (CVPR) 2025 (acceptance rate=2878/13008=22.01%)

  3. Jie Ren*, Pin-Yu Chen, Ren Wang, “Revisiting Mode Connectivity in Neural Networks with Bezier Surface”, International Conference on Learning Representations (ICLR), 2025 (acceptance rate=3689/11500=32.08%)

  4. Hanxiao Lu*, Zeyu Huang*, Ren Wang, “Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case,” IEEE Journal of Selected Topics in Signal Processing, 2025 (The first two authors contributed equally)

  5. Jane Downer*, Ren Wang, Binghui Wang, “Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics,” IEEE Transactions on Information Forensics & Security, 2025

  6. Soumyadeep Pal*, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu, “Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency”, International Conference on Learning Representations (ICLR), 2024 (acceptance rate=2250/7304=30.81%)

  7. Ren Wang, Yuxuan Li, Alfred Hero, “Deep Adversarial Defense Against Multilevel-Lp Attacks”, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2024

  8. Yingdan Shi*, Sijia Liu, Ren Wang, “Rethinking Evaluation Metrics for Machine Unlearning,” International Conference on Machine Learning (ICML) MUGen Workshop 2025

  9. Yingdan Shi*, Ren Wang, “Breaking Weight Entanglement: Machine Unlearning with Nonlinearity,” International Conference on Machine Learning (ICML) MUGen Workshop 2025

  10. Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi, “Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond”, The International Journal of Intelligent Real-Time Automation, 2024

  11. Ren Wang, Zhe Xu, Alfred Hero, “Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning”, IEEE Access, 2024

  12. Ren Wang, Yuxuan Li*, Sijia Liu, “Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity”, CVPR 3rdAdvML 2023

  13. Hanxiao Lu*, Zeyu Huang*, Ren Wang, “Enhancing Healthcare Model Trustworthiness through Theoretically Guaranteed One-Hidden-Layer CNN Purification”, ICLR TML4H 2023 (The first two authors contributed equally)

  14. Soumyadeep Pal*, Ren Wang, Yuguang Yao, Sijia Liu, “Towards Understanding How Self-training Tolerates Data Backdoor Poisoning”, The AAAI’s Workshop on Artificial Intelligence Safety, 2023. (Best Paper Award Finalist)

  15. Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Indika Rajapakse, Alfred Hero, ``RAILS: A Robust Adversarial Immune-inspired Learning System’’, IEEE Access, 2022.

  16. Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred Hero, “ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense”, IEEE Access, 2022.

  17. Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang, “On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning”, International Conference on Learning Representations (ICLR), 2021. (acceptance rate=860/2997=28.7%)

  18. Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alfred Hero, Indika Rajapakse, “Immuno-mimetic Deep Neural Networks (Immuno-Net)”, International Conference on Machine Learning Workshop on computational biology (ICML-WCB), 2021.

  19. Ren Wang, Gauyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang, “Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases”, The European Conference on Computer Vision (ECCV), 2020. (acceptance rate=1361/5025=27.1%)

  20. Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao, “Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements”, Asilomar Conference on Signals, Systems and Computers, 2021.

  21. Ren Wang, Meng Wang, Jinjun Xiong, “Tensor Recovery from Noisy and Quantized Measurements”, EURASIP Journal on Advances in Signal Processing, 2020.

  22. Ren Wang, Meng Wang, Jinjun Xiong, “Achieve Data Privacy and Clustering Accuracy Simultaneously Through Quantized Data Recovery”, EURASIP Journal on Advances in Signal Processing, 2020.

  23. Ren Wang, Meng Wang, Jinjun Xiong, “Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures”, Asilomar Conference on Signals, Systems and Computers, 2020.

  24. Ren Wang, Meng Wang, Jinjun Xiong, “Data Recovery and Subspace Clustering from Quantized and Corrupted Measurements”, IEEE Journal of Selected Topics in Signal Processing: Special Issue on Robust Subspace Learning and Tracking, 2018 (Selected as featured article on the cover of the issue).

  25. Jane Downer*, Yingdan Shi*, Ziyan Liu*, Ren Wang, Binghui Wang, “Watermarking Graph Neural Networks via Explanations for Ownership Protection”, arXiv preprint arXiv:2505.10859

  26. Changchang Sun*, Ren Wang, Yihua Zhang, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Yan Yan, Sijia Liu, “Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification”, arXiv preprint arXiv:2412.16780

  27. Md Aminul Islam*, Elena Zheleva, Ren Wang, “Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering,” arXiv preprint arXiv:2510.12959

  28. Wenhan Wu, Zheyuan Liu, Chongyang Gao, Ren Wang, Kaize Ding, “Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization,” arXiv preprint arXiv:2509.20230

  29. Ren Wang, Yuxuan Li, Can Chen, Dakuo Wang, Jinjun Xiong, Pin-Yu Chen, Sijia Liu, Mohammad Shahidehpour, Alfred Hero, “Bridging Models to Defend: A Population-Based Strategy for Robust Adversarial Defense,” arXiv preprint arXiv:2303.10225

  30. Yingdan Shi*, Ren Wang, “MCU: Improving Machine Unlearning through Mode Connectivity,” arXiv preprint arXiv:2505.10859

  31. Yingdan Shi*, Sijia Liu, Kaize Ding, Ren Wang, “Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach,” arXiv preprint arXiv:2501.19403

Machine Learning for Engineering

  1. Xin Mao, Anqi Dong, Ziqin He, Yidan Mei, Shenghan Mei, Ren Wang, Can Chen, “Data-driven Analysis of T-Product-based Dynamical Systems”, IEEE Control Systems Letters, 2025

  2. Ignacio de Cominges Guerra*, Wenting Li, Ren Wang, “A Comprehensive Analysis of PINNs for Power System Transient Stability”, Electronics, 2024

  3. Wenting Li, Deepjyoti Deka, Ren Wang, Mario R. Arrieta Paternina, “Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids”, IEEE Transactions on Artificial Intelligence, 2023

  4. Jianing Bai*, Ren Wang, Zuyi Li, “Physics-Constrained Backdoor Attacks on Power System Fault Localization”, IEEE PES General Meeting, 2023 (arXiv: https://arxiv.org/abs/2211.04445)

  5. Meng Wang, Joe H Chow, Yingshuai Hao, Shuai Zhang, Wenting Li, Ren Wang, Pengzhi Gao, Christopher Lackner, Evangelos Farantatos, Mahendra Patel, “A Low-rank Framework of PMU Data Recovery and Event Identification”, International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2019.

  6. Pengzhi Gao, Ren Wang, Meng Wang, Joe H Chow, “Low-rank Matrix Recovery from Noisy, Quantized and Erroneous Measurements”, IEEE Transactions on Signal Processing, 2018 (The first two authors contributed equally)

  7. Libao Shi, Ren Wang, “Modeling and Solutions of Joint Economic Dispatch with Wind-Hydro-Thermal Complex Power Source Structure”, IET Renewable Power Generation, 2017.

  8. Meng Wang, Joe H Chow, Pengzhi Gao, Yingshuai Hao, Wenting Li, Ren Wang, “Recent Results of PMU Data Analytics by Exploiting Low-dimensional Structures”, The 10th Bulk Power Systems Dynamics and Control Symposium (IREP), 2017.

  9. Pengzhi Gao, Ren Wang, Meng Wang, Joe H Chow, “Low-rank Matrix Recovery from Quantized and Erroneous Measurements: Accuracy-preserved Data Privatization in Power Grids”, Asilomar Conference on Signals, Systems and Computers, 2016.

  10. Yajie Liu, Libao Shi, Ren Wang, Liangzhong Yao, “Study on the dynamic economic dispatch for a wind-hydro hybrid power system”, IET Digital Library, 2016.

  11. Yang Pan, Libao Shi, Yajie Liu, Jinqing Luo, Ren Wang, “Study on optimal power flow in a wind-storage system”, IEEE PES Asia-Pacific Power and Energy Engineering Conference, 2016.

  12. Ren Wang, Libao Shi, Yajie Liu, Jinqing Luo, Liangzhong Yao, “A Joint Probabilistic Analytical Model with Consideration of Wind Power and Load Uncertainties”, International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, 2015.

  13. Ren Wang, Libao Shi, Liangzhong Yao, Yixin Ni, “Small Signal Stability Analysis with High Penetration of Grid-connected Wind Farm of PMSG Type Considering the Wake Effect”, IEEE PES General Meeting 2014.

  14. Ren Wang, Ming Zhong, Kaidi Xu, Lola Giráldez Sánchez-Cortés*, Ignacio de Cominges Guerra*, “PINNs-Based Uncertainty Quantification for Transient Stability Analysis”, arXiv preprint arXiv:2311.12947

  15. Ziqin He, Yidan Mei, Shenghan Mei, Xin Mao, Anqi Dong, Ren Wang, Can Chen, “Data-driven Control of T-Product-based Dynamical Systems”, arXiv preprint arXiv:2504.14721

  16. Shenghan Mei, Ziqin He, Yidan Mei, Xin Mao, Anqi Dong, Ren Wang, Can Chen, “Data-driven model order reduction for T-Product-Based dynamical systems”, arXiv preprint arXiv:2504.14721

Machine Learning for Bio/Healthcare

  1. Yanlong Zhao*, Yixiao Chen, Jiawen Du, Quan Sun, Ren Wang, Ren Wang, Can Chen, “DREAM-GNN: Dual-route embedding-aware graph neural networks for drug repositioning,” Briefings in Bioinformatics, 2025

  2. Ding Zhang*, Jane Downer*, Can Chen, Ren Wang, “Efficient and Robust Continual Graph Learning for Graph Classification in Biology,” IEEE Transactions on Signal and Information Processing over Networks, 2025

  3. Jiawei Wu, Jun Wen, Mingyuan Yan, Anqi Dong, Shuai Gao, Ren Wang, Can Chen, “Heterogeneous Entity Representation for Medicinal Synergy Prediction”, Bioinformatics, 2024

  4. Zhaoying Wang*, Yingdan Shi*, Xiang Liu*, Can Chen, Jun Wen, Ren Wang, “HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance”, arXiv preprint arXiv:2502.06274

  5. Yanlong Zhao*, Yixiao Chen, Yi Yu, Xiang Liu, Jiawen Du, Jun Wen, Chen Liao, Quan Sun, Ren Wang, Can Chen, “MuSHIN: A Multi-way SMILES-based hypergraph inference network for metabolic model reconstruction”, bioRXiv preprint bioRXiv: 2025.07.07.663526v1

Patents

  1. “Detecting Trojan Neural Networks”, US Patent US20220053005A1

  2. “Robust Adversarial Immune-Inspired Learning System”, US Patent US20220188642A1

  3. “A kind of wind farm grid-connected method for analyzing stability considering wake effect”, CN103956767B