Collaborative Deep Reinforcement Learning for Multi-object Tracking. - Liangliang Ren; Jiwen Lu; Zifeng Wang 002; Qi Tian 001; Jie Zhou 001 (ECCV (3), 2018)

Profiling users by online shopping behaviors. - Huan Yan; Zifeng Wang 002; Tzu-Heng Lin; Yong Li 008; Depeng Jin (Multim. Tools Appl., 2018)

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. - Andrey Gritsenko; Zifeng Wang 002; Tong Jian; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (DySPAN, 2019)

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. - Kunal Sankhe; Kaushik R. Chowdhury; Francesco Restuccia 001; Salvatore D'Oro; Tong Jian; Zifeng Wang 002; Amani Al-Shawabka; Jennifer G. Dy; Tommaso Melodia; Stratis Ioannidis (MILCOM, 2019)

Adaptive Nonparametric Variational Autoencoder. - Tingting Zhao; Zifeng Wang 002; Aria Masoomi; Jennifer G. Dy (CoRR, 2019)

Learn-Prune-Share for Lifelong Learning. - Zifeng Wang 002; Tong Jian; Kaushik R. Chowdhury; Yanzhi Wang; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2020)

Open-World Class Discovery with Kernel Networks. - Zifeng Wang 002; Batool Salehi; Andrey Gritsenko; Kaushik R. Chowdhury; Stratis Ioannidis; Jennifer G. Dy (ICDM, 2020)

Instance-wise Feature Grouping. - Aria Masoomi; Chieh Wu; Tingting Zhao; Zifeng Wang 002; Peter J. Castaldi; Jennifer G. Dy (NeurIPS, 2020)

Deep Learning for RF Fingerprinting: A Massive Experimental Study. - Tong Jian; Bruno Costa Rendon; Emmanuel Ojuba; Nasim Soltani; Zifeng Wang 002; Kunal Sankhe; Andrey Gritsenko; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (IEEE Internet Things Mag., 2020)

Deep Learning on Visual and Location Data for V2I mmWave Beamforming. - Guillem Reus Muns; Batool Salehi; Debashri Roy; Tong Jian; Zifeng Wang 002; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (MSN, 2021)

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. - Zifeng Wang 002; Tong Jian; Aria Masoomi; Stratis Ioannidis; Jennifer G. Dy (NeurIPS, 2021)

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. - Zifeng Wang 002; 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 (PLoS Comput. Biol., 2021)

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

Pruning Adversarially Robust Neural Networks without Adversarial Examples. - Tong Jian; Zifeng Wang 002; Yanzhi Wang; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (NeurIPS, 2022)

SAIF: Sparse Adversarial and Interpretable Attack Framework. - Tooba Imtiaz; Morgan Kohler; Jared Miller; Zifeng Wang 002; Mario Sznaier; Octavia I. Camps; Jennifer G. Dy (CoRR, 2022)

Deep Bayesian Unsupervised Lifelong Learning. - Tingting Zhao; Zifeng Wang 002; Aria Masoomi; Jennifer G. Dy (Neural Networks, 2022)

Radio Frequency Fingerprinting on the Edge. - Tong Jian; Yifan Gong 004; Zheng Zhan 001; Runbin Shi; Nasim Soltani; Zifeng Wang 002; Jennifer G. Dy; Kaushik R. Chowdhury; Yanzhi Wang; Stratis Ioannidis (IEEE Trans. Mob. Comput., 2022)

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. - Batool Salehi; Guillem Reus Muns; Debashri Roy; Zifeng Wang 002; Tong Jian; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Veh. Technol., 2022)

QueryForm: A Simple Zero-shot Form Entity Query Framework. - Zifeng Wang 002; Zizhao Zhang; Jacob Devlin; Chen-Yu Lee; Guolong Su; Hao Zhang; Jennifer G. Dy; Vincent Perot; Tomas Pfister (ACL (Findings), 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (ICML, 2023)

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. - Cheng-Yu Hsieh; Yung-Sung Chuang; Chun-Liang Li; Zifeng Wang 002; Long T. Le; Abhishek Kumar; James R. Glass; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (ACL (Findings), 2024)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. - I-Hung Hsu; Zifeng Wang 002; Long T. Le; Lesly Miculicich; Nanyun Peng 001; Chen-Yu Lee; Tomas Pfister (ACL (Findings), 2024)

LMDX: Language Model-based Document Information Extraction and Localization. - Vincent Perot; Kai Kang; Florian Luisier; Guolong Su; Xiaoyu Sun; Ramya Sree Boppana; Zilong Wang 002; Zifeng Wang 002; Jiaqi Mu; Hao Zhang; Chen-Yu Lee; Nan Hua (ACL (Findings), 2024)

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. - Zilong Wang 002; Hao Zhang; Chun-Liang Li; Julian Martin Eisenschlos; Vincent Perot; Zifeng Wang 002; Lesly Miculicich; Yasuhisa Fujii; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2024)

CodecLM: Aligning Language Models with Tailored Synthetic Data. - Zifeng Wang 002; Chun-Liang Li; Vincent Perot; Long T. Le; Jin Miao; Zizhao Zhang; Chen-Yu Lee; Tomas Pfister (NAACL-HLT (Findings), 2024)

TableRAG: Million-Token Table Understanding with Language Models. - Si-An Chen; Lesly Miculicich; Julian Eisenschlos; Zifeng Wang 002; Zilong Wang 002; Yanfei Chen; Yasuhisa Fujii; Hsuan-Tien Lin; Chen-Yu Lee; Tomas Pfister (NeurIPS, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

SQL-PaLM: Improved large language model adaptation for Text-to-SQL. - Ruoxi Sun 002; Sercan Ö. Arik; Alexandre Muzio; Lesly Miculicich; Satya Kesav Gundabathula; Pengcheng Yin; Hanjun Dai; Hootan Nakhost; Rajarishi Sinha; Zifeng Wang 002; Tomas Pfister (Trans. Mach. Learn. Res., 2024)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. - Zhen Tan 001; Jun Yan; I-Hung Hsu; Rujun Han; Zifeng Wang 002; Long T. Le; Yiwen Song; Yanfei Chen; Hamid Palangi; George Lee; Anand Rajan Iyer; Tianlong Chen 001; et al. (ACL (1), 2025)

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. - Fan Yin; Zifeng Wang 002; I-Hung Hsu; Jun Yan; Ke Jiang; Yanfei Chen; Jindong Gu; Long T. Le; Kai-Wei Chang; Chen-Yu Lee; Hamid Palangi; Tomas Pfister (ACL (1), 2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. - Zilong Wang 002; Zifeng Wang 002; Long T. Le; Huaixiu Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang 001; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

STAR: Stability-Inducing Weight Perturbation for Continual Learning. - Masih Eskandar; Tooba Imtiaz; Davin Hill; Zifeng Wang 002; Jennifer G. Dy (ICLR, 2025)

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. - Wenda Xu; Rujun Han; Zifeng Wang 002; Long T. Le; Dhruv Madeka; Lei Li 005; William Yang Wang; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Reverse Thinking Makes LLMs Stronger Reasoners. - Justin Chih-Yao Chen; Zifeng Wang 002; Hamid Palangi; Rujun Han; Sayna Ebrahimi; Long T. Le; Vincent Perot; Swaroop Mishra; Mohit Bansal; Chen-Yu Lee; Tomas Pfister (NAACL (Long Papers), 2025)

ADAPT to Robustify Prompt Tuning Vision Transformers. - Masih Eskandar; Tooba Imtiaz; Zifeng Wang 002; Jennifer G. Dy (Trans. Mach. Learn. Res., 2025)

SAIF: Sparse Adversarial and Imperceptible Attack Framework. - Tooba Imtiaz; Morgan Kohler; Jared Miller; Zifeng Wang 002; Masih Eskandar; Mario Sznaier; Octavia I. Camps; Jennifer G. Dy (Trans. Mach. Learn. Res., 2025)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. - Zhenglun Kong; Zheng Zhan 001; Shiyue Hou; Yifan Gong 004; Xin Meng; Pengwei Sui; Peiyan Dong; Xuan Shen; Zifeng Wang 002; Pu Zhao 001; Hao Tang 005; Stratis Ioannidis; et al. (CoRR, 2025)