* Equal contribution.


  1. arXiv
    FRAME: Evaluating Simulatability Metrics for Free-Text Rationales
    A. Chan, S. Nie, L. Tan, X. Peng, H. Firooz, M. Sanjabi, and X. Ren
    arXiv Preprint, 2022
  2. TrustNLP
    ER-Test: Evaluating Explanation Regularization Methods for NLP Models
    B. Joshi*, A. Chan*, Z. Liu*, S. Nie, M. Sanjabi, H. Firooz, and X. Ren
    TrustNLP Workshop @ NAACL, 2022
  3. ICML
    UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
    A. Chan, M. Sanjabi, L. Mathias, L. Tan, S. Nie, X. Peng, X. Ren, and H. Firooz
    ICML, 2022


  1. NeurIPS
    SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
    A. Chan, J. Xu, B. Long, S. Sanyal, T. Gupta, and X. Ren
    NeurIPS, 2021
    Learning Contextualized Knowledge Structures for Commonsense Reasoning
    J. Yan, M. Raman, A. Chan, T. Zhang, R. Rossi, H. Zhao, S. Kim, N. Lipka, and X. Ren
    Findings of ACL-IJCNLP, 2021
  3. ICLR
    Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
    M. Raman, A. Chan*, S. Agarwal*, P. Wang, H. Wang, S. Kim, R. Rossi, H. Zhao, N. Lipka, and X. Ren
    ICLR, 2021


  1. CVPR
    Egocentric Basketball Motion Planning from a Single First-Person Image
    G. Bertasius, A. Chan, and J. Shi
    CVPR, 2018


  1. ICRA
    6-DoF Object Pose from Semantic Keypoints
    G. Pavlakos, X. Zhou, A. Chan, K.G. Derpanis, and K. Daniilidis
    ICRA, 2017


  1. ACIVS
    Scalable Vision System for Mouse Homecage Ethology
    G. Salem, J. Krynitsky, B. Kirkland, E. Lin, A. Chan, S. Anfinrud, S. Anderson, M. Garmendia-Cedillos, R. Belayachi, J. Alonso-Cruz, J. Yu, A. Iano-Fletcher, G. Dold, T. Talbot, A.V. Kravitz, J.B. Mitchell, G. Wu, J.U. Dennis, M. Hayes, K. Branson, and T. Pohida
    ACIVS, 2016