FH
Furong Huang
cs.LGstat.MLcs.AIcs.CLcs.CVcs.CRcs.NAmath.NAAIBias
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
84 papers in the corpus · 2011–2026Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation.38410650 · Yang, Yifan, Liu, Xiaoyu, Jin, Qiao et al.2026 · 5 citationsArXiv. 2024
MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize2608.25449v2 · Jiaxin Yuan, Connor Martinez Lockhart, Xiaoyu Liu et al.2026 · 0 citationsarXiv
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling2507.06419v3 · Pankayaraj Pathmanathan, Furong Huang2025 · 0 citationsACL 2026 Main Conference [Oral]
Auction-Based Regulation for Artificial Intelligence2410.01871v3 · Marco Bornstein, Zora Che, Suhas Julapalli et al.2024 · 1 citationarXiv
TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos2511.21690v1 · Seungjae Lee, Yoonkyo Jung, Inkook Chun et al.2025 · 0 citationsarXiv
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning2507.16746v2 · Ang Li, Charles Wang, Deqing Fu et al.2025 · 0 citationsarXiv
Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems2510.02377v1 · Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh et al.2025 · 1 citationarXiv
MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models2510.01549v1 · Kevin Zhai, Utsav Singh, Anirudh Thatipelli et al.2025 · 0 citationsarXiv
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data2505.15074v3 · Yuhang Zhou, Jing Zhu, Shengyi Qian et al.2025 · 0 citationsarXiv
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model2509.00676v1 · Xiyao Wang, Chunyuan Li, Jianwei Yang et al.2025 · 1 citationarXiv
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment2410.08193v5 · Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel et al.2024 · 0 citationsarXiv
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment2411.18688v5 · Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh et al.2024 · 8 citationsarXiv
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies2412.10345v3 · Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang et al.2024 · 1 citationarXiv
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?2407.17417v3 · Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.2024 · 5 citationsarXiv
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models2503.07697v2 · Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya et al.2025 · 0 citationsarXiv
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement2504.07934v3 · Xiyao Wang, Zhengyuan Yang, Chao Feng et al.2025 · 4 citationsarXiv
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory2411.00401v2 · Zhi Zhang, Chris Chow, Yasi Zhang et al.2024 · 0 citationsarXiv
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds2504.02142v1 · Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu et al.2025 · 0 citationsarXiv
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment2503.21720v1 · Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag et al.2025 · 0 citationsarXiv
Large Language Models and Causal Inference in Collaboration: A Survey2403.09606v3 · Xiaoyu Liu, Paiheng Xu, Junda Wu et al.2024 · 14 citationsarXiv
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset2411.03554v3 · Yingzi Ma, Jiongxiao Wang, Fei Wang et al.2024 · 1 citationarXiv
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs2502.00997v3 · Yuhang Zhou, Giannis Karamanolakis, Victor Soto et al.2025 · 2 citationsarXiv
A survey of recent methods for addressing AI fairness and bias in biomedicine.38529077 · Yang, Yifan, Lin, Mingquan, Zhao, Han et al.2024 · 102 citationsArXiv. 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization2402.14528v5 · Tianying Ji, Yongyuan Liang, Yan Zeng et al.2024 · 2 citationsarXiv
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation2410.02512v1 · Mucong Ding, Bang An, Yuancheng Xu et al.2024 · 0 citationsarXiv
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise2409.13235v1 · Kyle Sang, Tahseen Rabbani, Furong Huang2024 · 0 citationsarXiv
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation2401.13867v1 · Yifan Yang, Xiaoyu Liu, Qiao Jin et al.2024 · 92 citationsarXiv
A survey of recent methods for addressing AI fairness and bias in biomedicine2402.08250v1 · Yifan Yang, Mingquan Lin, Han Zhao et al.2024 · 102 citationsarXiv
CSRec: Rethinking Sequential Recommendation from A Causal Perspective2409.05872v1 · Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou et al.2024 · 7 citationsarXiv
WAVES: Benchmarking the Robustness of Image Watermarks2401.08573v3 · Bang An, Mucong Ding, Tahseen Rabbani et al.2024 · 0 citationsarXiv
Transfer Q Star: Principled Decoding for LLM Alignment2405.20495v1 · Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin et al.2024 · 1 citationarXiv
Calibrated Dataset Condensation for Faster Hyperparameter Search2405.17535v1 · Mucong Ding, Yuancheng Xu, Tahseen Rabbani et al.2024 · 0 citationsarXiv
Spectral Greedy Coresets for Graph Neural Networks2405.17404v1 · Mucong Ding, Yinhan He, Jundong Li et al.2024 · 0 citationsarXiv
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models2310.14566v5 · Tianrui Guan, Fuxiao Liu, Xiyang Wu et al.2023 · 143 citationsarXiv
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts2308.01313v3 · Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess et al.2023 · 0 citationsarXiv
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks2401.03384v1 · Tahseen Rabbani, Jiahao Su, Xiaoyu Liu et al.2024 · 0 citationsarXiv
Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of Gastrodia elata Blume Using Visible-Near-Infrared Spectroscopy Combined with Machine Learning.38002117 · Ma, Jinfang, Zhou, Xue, Xie, Baiheng et al.2023 · 28 citationsFoods (Basel, Switzerland). 2023;12(22)
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey2310.15264v1 · Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping et al.2023 · 3 citationsarXiv
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching2109.08346v2 · Tahseen Rabbani, Brandon Feng, Marco Bornstein et al.2021 · 1 citationarXiv
Topological optimization of hybrid quantum key distribution networks2003.14100v2 · Ya-Xing Wang, Qiong Li, Hao-Kun Mao et al.2020 · 15 citationsarXiv
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL2106.05087v5 · Yanchao Sun, Ruijie Zheng, Yongyuan Liang et al.2021 · 13 citationsarXiv
Understanding the Generalization Benefit of Model Invariance from a Data Perspective2111.05529v2 · Sicheng Zhu, Bang An, Furong Huang2021 · 3 citationsarXiv
Estimation of chemical oxygen demand in different water systems by near-infrared spectroscopy.35994903 · Han, Xueqin, Xie, Danping, Song, Han et al.2022 · 20 citationsEcotoxicology and environmental safety. 2022;243:113964
Compact Neural Architecture Designs by Tensor Representations.35355829 · Su, Jiahao, Li, Jingling, Liu, Xiaoyu et al.2022 · 6 citationsFrontiers in artificial intelligence. 2022;5:728761
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics2009.00774v5 · Yanchao Sun, Da Huo, Furong Huang2020 · 14 citationsThe Ninth International Conference on Learning Representations (ICLR 2021)
Understanding Generalization through Visualizations1906.03291v6 · W. Ronny Huang, Zeyad Emam, Micah Goldblum et al.2019 · 25 citationsarXiv
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization2110.14363v1 · Mucong Ding, Kezhi Kong, Jingling Li et al.2021 · 20 citationsarXiv
Datasets for Studying Generalization from Easy to Hard Examples2108.06011v2 · Avi Schwarzschild, Eitan Borgnia, Arjun Gupta et al.2021 · 3 citationsarXiv
Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy2103.04436v4 · Chen Chen, Kezhi Kong, Peihong Yu et al.2021 · 2 citationsarXiv
Practical and Fast Momentum-Based Power Methods2108.09264v1 · Tahseen Rabbani, Apollo Jain, Arjun Rajkumar et al.2021 · 0 citationsarXiv
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