Jianfeng Chi - RankMe

50 papers A* 13A 4Misc 1Journal 23Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Backtracking Improves Generation Safety. ICLR Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel, Jason E. Weston, Eric Michael Smith
2025	A	`conf`	Edge-Variational Graph Neural Networks: Harnessing Weak Ties for Enhanced Default Risk Prediction. CIKM Feng Zhang, Jianfeng Chi, Rui Ma, Gang Chen, Rongqi Chen
2025	J	`jnl`	Large Reasoning Models Learn Better Alignment from Flawed Thinking. CoRR Shengyun Peng, Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi
2025	A*	`conf`	Persistent Pre-training Poisoning of LLMs. ICLR Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramèr, Daphne Ippolito
2025	J	`jnl`	Shape it Up! Restoring LLM Safety during Finetuning. CoRR Shengyun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
2025	—	`conf`	Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks. NAACL (Findings) Samuele Poppi, Zheng-Xin Yong, Yifei He, Bobbie Chern, Han Zhao, Aobo Yang, Jianfeng Chi
2024	J	`jnl`	Backtracking Improves Generation Safety. CoRR Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel, Jason Weston, Eric Michael Smith
2024	A*	`conf`	BadMerging: Backdoor Attacks Against Model Merging. CCS Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian
2024	J	`jnl`	BadMerging: Backdoor Attacks Against Model Merging. CoRR Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian
2024	—	`conf`	EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. EMNLP (Findings) Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024	J	`jnl`	EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024	A*	`conf`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2024	J	`jnl`	Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations. CoRR Jianfeng Chi, Ujjwal Karn, Hongyuan Zhan, Eric Smith, Javier Rando, Yiming Zhang, Kate Plawiak, Zacharie Delpierre Coudert, Kartikeya Upasani, Mahesh Pasupuleti
2024	J	`jnl`	Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations. CoRR Igor Fedorov, Kate Plawiak, Lemeng Wu, Tarek Elgamal, Naveen Suda, Eric Smith, Hongyuan Zhan, Jianfeng Chi, Yuriy Hulovatyy, Kimish Patel, Zechun Liu, Changsheng Zhao, Yangyang Shi, Tijmen Blankevoort, Mahesh Pasupuleti, Bilge Soran, Zacharie Delpierre Coudert, Rachad Alao, Raghuraman Krishnamoorthi, Vikas Chandra
2024	J	`jnl`	Persistent Pre-Training Poisoning of LLMs. CoRR Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramèr, Daphne Ippolito
2024	J	`jnl`	Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks. CoRR Samuele Poppi, Zheng-Xin Yong, Yifei He, Bobbie Chern, Han Zhao, Aobo Yang, Jianfeng Chi
2024	A*	`conf`	Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation. KDD Kunlin Cai, Jinghuai Zhang, Zhiqing Hong, William Shand, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian
2023	J	`jnl`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2023	J	`jnl`	Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. CoRR Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa
2023	—	`conf`	PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. ACL (2) Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2023	A	`conf`	Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. EACL Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2023	J	`jnl`	Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation. CoRR Kunlin Cai, Jinghuai Zhang, Will Shand, Zhiqing Hong, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian
2022	—	`conf`	ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting. DASFAA (1) Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao, Hao Yang
2022	A*	`conf`	AUC-oriented Graph Neural Network for Fraud Detection. WWW Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	—	`conf`	Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. DASFAA (1) Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	—	`conf`	Conditional Supervised Contrastive Learning for Fair Text Classification. EMNLP (Findings) Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian
2022	J	`jnl`	Conditional Supervised Contrastive Learning for Fair Text Classification. CoRR Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian
2022	J	`jnl`	PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. CoRR Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2022	A*	`conf`	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. KDD Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	J	`jnl`	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. CoRR Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	J	`jnl`	Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. CoRR Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2022	A	`conf`	Towards Return Parity in Markov Decision Processes. AISTATS Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
2021	A	`conf`	Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. WSDM Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang
2021	—	`conf`	Intent Classification and Slot Filling for Privacy Policies. ACL/IJCNLP (1) Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang
2021	J	`jnl`	Intent Classification and Slot Filling for Privacy Policies. CoRR Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang
2021	A*	`conf`	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. WWW Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2021	J	`jnl`	Towards Return Parity in Markov Decision Processes. CoRR Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
2021	A*	`conf`	Understanding and Mitigating Accuracy Disparity in Regression. ICML Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
2021	J	`jnl`	Understanding and Mitigating Accuracy Disparity in Regression. CoRR Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
2020	A*	`conf`	Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. USENIX Security Symposium Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
2020	A*	`conf`	Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. ICDM Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang
2020	—	`conf`	PolicyQA: A Reading Comprehension Dataset for Privacy Policies. EMNLP (Findings) Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
2020	J	`jnl`	PolicyQA: A Reading Comprehension Dataset for Privacy Policies. CoRR Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
2020	A*	`conf`	Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. NeurIPS Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
2019	J	`jnl`	Adversarial Task-Specific Privacy Preservation under Attribute Attack. CoRR Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
2019	J	`jnl`	Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. CoRR Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
2019	A*	`conf`	Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics. ICDM Qiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi
2019	—	`conf`	Side Channel Attacks in Computation Offloading Systems with GPU Virtualization. IEEE Symposium on Security and Privacy Workshops Sihang Liu, Yizhou Wei, Jianfeng Chi, Faysal Hossain Shezan, Yuan Tian
2018	Misc	`conf`	Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. SEC Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Yiming Liu, Haodong Liu, Jiasen Chen, Swee Sim, Vibha Iyengar, Patrick Tague, Yuan Tian
2018	J	`jnl`	Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. CoRR Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian