Dynamic evolution of the weld pool reflection during weld penetration development. - Jinsong Chen; Jian Chen 033; Zhili Feng; YuMing Zhang (AIM, 2016)

In situ strain monitoring in gas tungsten arc welding processes. - Zongyao Chen; Jian Chen 033; Zhili Feng; Yuming Zhang (AIM, 2016)

High temperature full-field strain measurement based on digital image correlation during arc welding. - X. Zhou; H. B. Chen; Jian Chen 033; S. B. Chen; Zhili Feng (ARSO, 2016)

A Structured Learning Approach to Temporal Relation Extraction. - Qiang Ning; Zhili Feng; Dan Roth 001 (EMNLP, 2017)

Joint Reasoning for Temporal and Causal Relations. - Qiang Ning; Zhili Feng; Hao Wu 034; Dan Roth 001 (ACL (1), 2018)

CogCompTime: A Tool for Understanding Time in Natural Language. - Qiang Ning; Ben Zhou; Zhili Feng; Haoruo Peng; Dan Roth 001 (EMNLP (Demonstration), 2018)

Online Learning with Graph-Structured Feedback against Adaptive Adversaries. - Zhili Feng; Po-Ling Loh (ISIT, 2018)

CogCompNLP: Your Swiss Army Knife for NLP. - Daniel Khashabi; Mark Sammons; Ben Zhou; Tom Redman; Christos Christodoulopoulos 001; Vivek Srikumar; Nicholas Rizzolo; Lev-Arie Ratinov; Guanheng Luo; Quang Do; Chen-Tse Tsai; Subhro Roy; et al. (LREC, 2018)

Does Data Augmentation Lead to Positive Margin? - Shashank Rajput; Zhili Feng; Zachary Charles; Po-Ling Loh; Dimitris S. Papailiopoulos (ICML, 2019)

CogCompTime: A Tool for Understanding Time in Natural Language Text. - Qiang Ning; Ben Zhou; Zhili Feng; Haoruo Peng; Dan Roth 001 (CoRR, 2019)

Strong Coresets for Subspace Approximation and k-Median in Nearly Linear Time. - Zhili Feng; Praneeth Kacham; David P. Woodruff (CoRR, 2019)

Model Predictive Control of GTAW Weld Pool Penetration. - Jinsong Chen; Jian Chen 033; Zhili Feng; Yuming Zhang (IEEE Robotics Autom. Lett., 2019)

Multi-AGVs path planning based on improved ant colony algorithm. - Guohong Yi; Zhili Feng; Tiancan Mei; Pushan Li; Wang Jin; Siyuan Chen (J. Supercomput., 2019)

DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images. - Yunhe Feng; Zongyao Chen; Dali Wang; Jian Chen 033; Zhili Feng (IEEE Trans. Ind. Informatics, 2020)

Dimensionality Reduction for the Sum-of-Distances Metric. - Zhili Feng; Praneeth Kacham; David P. Woodruff (ICML, 2021)

Non-PSD matrix sketching with applications to regression and optimization. - Zhili Feng; Fred Roosta; David P. Woodruff (UAI, 2021)

Autonomous nondestructive evaluation of resistance spot welded joints. - Jian Zhou 010; Dali Wang; Jian Chen 033; Zhili Feng; Blair Clarson; Amberlee Baselhuhn (Robotics Comput. Integr. Manuf., 2021)

Learning-Augmented $k$-means Clustering. - Jon C. Ergun; Zhili Feng; Sandeep Silwal; David P. Woodruff; Samson Zhou (ICLR, 2022)

Provable Adaptation across Multiway Domains via Representation Learning. - Zhili Feng; Shaobo Han; Simon Shaolei Du (ICLR, 2022)

UIR-Net: Object Detection in Infrared Imaging of Thermomechanical Processes in Automotive Manufacturing. - Shenghan Guo; Dali Wang; Zhili Feng; Weihong Grace Guo (IEEE Trans Autom. Sci. Eng., 2022)

Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning. - Zhili Feng; Anna Bair; J. Zico Kolter (CoRR, 2023)

On the Neural Tangent Kernel of Equilibrium Models. - Zhili Feng; J. Zico Kolter (CoRR, 2023)

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction. - Shenghan Guo; Dali Wang; Zhili Feng; Jian Chen 033; Weihong Guo 001 (Sensors, 2023)

Monotone deep Boltzmann machines. - Zhili Feng; Ezra Winston; J. Zico Kolter (Trans. Mach. Learn. Res., 2023)

Rethinking LLM Memorization through the Lens of Adversarial Compression. - Avi Schwarzschild; Zhili Feng; Pratyush Maini; Zachary C. Lipton; J. Zico Kolter (NeurIPS, 2024)

TOFU: A Task of Fictitious Unlearning for LLMs. - Pratyush Maini; Zhili Feng; Avi Schwarzschild; Zachary C. Lipton; J. Zico Kolter (CoRR, 2024)

An Axiomatic Approach to Model-Agnostic Concept Explanations. - Zhili Feng; Michal Moshkovitz; Dotan Di Castro; J. Zico Kolter (CoRR, 2024)

RankCLIP: Ranking-Consistent Language-Image Pretraining. - Yiming Zhang; Zhuokai Zhao; Zhaorun Chen; Zhili Feng; Zenghui Ding; Yining Sun (CoRR, 2024)

Adapting Language Models via Token Translation. - Zhili Feng; Tanya Marwah; Nicolò Fusi; David Alvarez-Melis; Lester Mackey (CoRR, 2024)

Text Descriptions are Compressive and Invariant Representations for Visual Learning. - Zhili Feng; Anna Bair; J. Zico Kolter (Trans. Mach. Learn. Res., 2024)

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws. - Yiding Jiang; Allan Zhou; Zhili Feng; Sadhika Malladi; J. Zico Kolter (ICLR, 2025)

Sequence-level Large Language Model Training with Contrastive Preference Optimization. - Zhili Feng; Dhananjay Ram; Cole Hawkins; Aditya Rawal; Jinman Zhao; Sheng Zha (NAACL (Findings), 2025)

Unnatural Languages Are Not Bugs but Features for LLMs. - Keyu Duan; Yiran Zhao 006; Zhili Feng; Jinjie Ni; Tianyu Pang; Qian Liu 012; Tianle Cai; Longxu Dou; Kenji Kawaguchi; Anirudh Goyal; J. Zico Kolter; Michael Qizhe Shieh (CoRR, 2025)

Antidistillation Sampling. - Yash Savani; Asher Trockman; Zhili Feng; Avi Schwarzschild; Alexander Robey; Marc Finzi; J. Zico Kolter (CoRR, 2025)

Existing Large Language Model Unlearning Evaluations Are Inconclusive. - Zhili Feng; Yixuan Even Xu; Alexander Robey; Robert Kirk; Xander Davies; Yarin Gal; Avi Schwarzschild; J. Zico Kolter (CoRR, 2025)