Zifeng Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Hilbert Schmidt

Information Bottleneck

Top Venues

Publications

I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. CoRR (2024)
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR (2024)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization. CoRR (2024)
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. ICLR (2024)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. ACL (Findings) (2024)
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR (2024)
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy
ADAPT to Robustify Prompt Tuning Vision Transformers. CoRR (2024)
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. ACL (Findings) (2024)
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. CoRR (2024)
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML (2023)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) (2023)
Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR (2022)
Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR (2022)
Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) (2022)
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
Deep Bayesian Unsupervised Lifelong Learning. Neural Networks 149 (2022)
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
SparCL: Sparse Continual Learning on the Edge. NeurIPS (2022)
Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21 (11) (2022)
Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
SAIF: Sparse Adversarial and Interpretable Attack Framework. CoRR (2022)
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
SparCL: Sparse Continual Learning on the Edge. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CVPR (2022)
Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Trans. Veh. Technol. 71 (7) (2022)
Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael H. Cho, Edwin K. Silverman, Craig P. Hersh, Jennifer G. Dy, Peter J. Castaldi
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. 17 (10) (2021)
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS (2021)
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR (2021)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CoRR (2021)
Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Deep Learning on Visual and Location Data for V2I mmWave Beamforming. MSN (2021)
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
Deep Bayesian Unsupervised Lifelong Learning. CoRR (2021)
Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. 3 (1) (2020)
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
Open-World Class Discovery with Kernel Networks. CoRR (2020)
Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Learn-Prune-Share for Lifelong Learning. CoRR (2020)
Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Learn-Prune-Share for Lifelong Learning. ICDM (2020)
Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy
Instance-wise Feature Grouping. NeurIPS (2020)
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
Open-World Class Discovery with Kernel Networks. ICDM (2020)
Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN (2019)
Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. MILCOM (2019)
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
Adaptive Nonparametric Variational Autoencoder. CoRR (2019)
Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou
Collaborative Deep Reinforcement Learning for Multi-object Tracking. ECCV (3) (2018)
Huan Yan, Zifeng Wang, Tzu-Heng Lin, Yong Li, Depeng Jin
Profiling users by online shopping behaviors. Multim. Tools Appl. 77 (17) (2018)