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ORCIDJianfeng Chi
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2020 – today
- 2024
[c22]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. EMNLP (Findings) 2024: 1491-1505- [c21]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 - [c20]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: 175-186 - [i18]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 abs/2406.06839 (2024) - [i17]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 abs/2407.21783 (2024) - [i16]Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian:
BadMerging: Backdoor Attacks Against Model Merging. CoRR abs/2408.07362 (2024) - [i15]Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel, Jason Weston, Eric Michael Smith:
Backtracking Improves Generation Safety. CoRR abs/2409.14586 (2024) - 2023
- [c19]Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. ACL (2) 2023: 352-365 - [c18]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: 201-210 - [i14]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 abs/2306.09468 (2023) - [i13]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 abs/2310.18606 (2023) - [i12]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 abs/2312.06674 (2023) - 2022
- [c17]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. AISTATS 2022: 1161-1178 - [c16]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: 353-369 - [c15]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: 387-394 - [c14]Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian:
Conditional Supervised Contrastive Learning for Fair Text Classification. EMNLP (Findings) 2022: 2736-2756 - [c13]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: 925-935 - [c12]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: 1311-1321 - [i11]Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. CoRR abs/2204.08952 (2022) - [i10]Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian:
Conditional Supervised Contrastive Learning for Fair Text Classification. CoRR abs/2205.11485 (2022) - [i9]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 abs/2207.00012 (2022) - [i8]Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. CoRR abs/2212.10011 (2022) - 2021
- [c11]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: 4402-4417 - [c10]Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao:
Understanding and Mitigating Accuracy Disparity in Regression. ICML 2021: 1866-1876 - [c9]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: 229-237 - [c8]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: 3168-3177 - [i7]Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. CoRR abs/2101.00123 (2021) - [i6]Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao:
Understanding and Mitigating Accuracy Disparity in Regression. CoRR abs/2102.12013 (2021) - [i5]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. CoRR abs/2111.10476 (2021) - 2020
- [c7]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. EMNLP (Findings) 2020: 743-749 - [c6]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: 72-81 - [c5]Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon:
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. NeurIPS 2020 - [c4]Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian:
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. USENIX Security Symposium 2020: 1327-1344 - [i4]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. CoRR abs/2010.02557 (2020)
2010 – 2019
- 2019
- [c3]Qiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi:
Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics. ICDM 2019: 1516-1521 - [c2]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: 156-161 - [i3]Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon:
Adversarial Task-Specific Privacy Preservation under Attribute Attack. CoRR abs/1906.07902 (2019) - [i2]Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian:
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. CoRR abs/1908.07000 (2019) - 2018
- [c1]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: 378-380 - [i1]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 abs/1812.02863 (2018)
Coauthor Index
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