Jianfeng Chi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Markov Decision Process

Privacy Policies

Fraud Detection

Top Venues

Publications

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR (2024)
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR (2024)
Kunlin Cai, Jinghuai Zhang, Zhiqing Hong, William Shand, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian
Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation. KDD (2024)
Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.
The Llama 3 Herd of Models. CoRR (2024)
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. CoRR (2023)
Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. EACL (2023)
Kunlin Cai, Jinghuai Zhang, Will Shand, Zhiqing Hong, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation. CoRR (2023)
Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. ACL (2) (2023)
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR (2023)
Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. CoRR (2022)
Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao, Hao Yang
ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting. DASFAA (1) (2022)
Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
AUC-oriented Graph Neural Network for Fraud Detection. WWW (2022)
Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. DASFAA (1) (2022)
Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. CoRR (2022)
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian
Conditional Supervised Contrastive Learning for Fair Text Classification. CoRR (2022)
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
Towards Return Parity in Markov Decision Processes. AISTATS (2022)
Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. KDD (2022)
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian
Conditional Supervised Contrastive Learning for Fair Text Classification. EMNLP (Findings) (2022)
Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. CoRR (2022)
Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang
Intent Classification and Slot Filling for Privacy Policies. CoRR (2021)
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
Towards Return Parity in Markov Decision Processes. CoRR (2021)
Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang
Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. WSDM (2021)
Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang
Intent Classification and Slot Filling for Privacy Policies. ACL/IJCNLP (1) (2021)
Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. WWW (2021)
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
Understanding and Mitigating Accuracy Disparity in Regression. ICML (2021)
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
Understanding and Mitigating Accuracy Disparity in Regression. CoRR (2021)
Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang
Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. ICDM (2020)
Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. EMNLP (Findings) (2020)
Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. CoRR (2020)
Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. USENIX Security Symposium (2020)
Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. NeurIPS (2020)
Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
Adversarial Task-Specific Privacy Preservation under Attribute Attack. CoRR (2019)
Sihang Liu, Yizhou Wei, Jianfeng Chi, Faysal Hossain Shezan, Yuan Tian
Side Channel Attacks in Computation Offloading Systems with GPU Virtualization. IEEE Symposium on Security and Privacy Workshops (2019)
Qiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi
Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics. ICDM (2019)
Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. CoRR (2019)
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. CoRR (2018)
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Yiming Liu, Haodong Liu, Jiasen Chen, Swee Sim, Vibha Iyengar, Patrick Tague, Yuan Tian
Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. SEC (2018)