Zeng, Yi

46 publications

ICLR 2025 AIR-BENCH 2024: A Safety Benchmark Based on Regulation and Policies Specified Risk Categories Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

NeurIPS 2025 AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li

CVPR 2025 BlueLM-V-3b: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Xudong Lu, Yinghao Chen, Cheng Chen, Hui Tan, Boheng Chen, Yina Xie, Rui Hu, Guanxin Tan, Renshou Wu, Yan Hu, Yi Zeng, Lei Wu, Liuyang Bian, Zhaoxiong Wang, Long Liu, Yanzhou Yang, Han Xiao, Aojun Zhou, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

IJCAI 2025 Brain-Inspired Stepwise Patch Merging for Vision Transformers Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng

AAAI 2025 EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng

ICLR 2025 Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng

NeurIPS 2025 Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng

NeurIPS 2025 MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajunzhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li

ICLR 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

ICLR 2025 Mind Control Through Causal Inference: Predicting Clean Images from Poisoned Data Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar Vullikanti, Sheng Li

ICLR 2025 SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

NeurIPS 2025 STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking Sicheng Shen, Dongcheng Zhao, Linghao Feng, Zeyang Yue, Jindong Li, Tenglong Li, Guobin Shen, Yi Zeng

ICCV 2025 SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility Guobin Shen, Jindong Li, Tenglong Li, Dongcheng Zhao, Yi Zeng

AAAI 2025 StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng

AAAI 2024 An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng

CVPR 2024 Are Conventional SNNs Really Efficient? a Perspective from Network Quantization Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng

NeurIPS 2024 Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia

ICLR 2024 Fine-Tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend to! Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson

AAAI 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie

AAAI 2024 MatchDet: A Collaborative Framework for Image Matching and Object Detection Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

NeurIPS 2024 Neuro-Vision to Language: Enhancing Brain Recording-Based Visual Reconstruction and Language Interaction Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng

ICML 2024 Position: A Safe Harbor for AI Evaluation and Red Teaming Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Alex Pentland, Arvind Narayanan, Percy Liang, Peter Henderson

NeurIPS 2024 RedCode: Risky Code Execution and Generation Benchmark for Code Agents Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li

ICML 2024 RigorLLM: Resilient Guardrails for Large Language Models Against Undesired Content Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li

IJCAI 2024 TIM: An Efficient Temporal Interaction Module for Spiking Transformer Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng

NeurIPSW 2023 AnchMark: Anchor-Contrastive Watermarking vs GenAI-Based Image Modifications Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Ruoxi Jia

NeurIPS 2023 Bullying10K: A Large-Scale Neuromorphic Dataset Towards Privacy-Preserving Bullying Recognition Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng

IJCAI 2023 Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen

ICLR 2023 LAVA: Data Valuation Without Pre-Specified Learning Algorithms Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou

ICLR 2023 Towards Robustness Certification Against Universal Perturbations Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia

TMLR 2023 Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia

NeurIPS 2023 Where Did I Come from? Origin Attribution of AI-Generated Images Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma

NeurIPSW 2023 Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou

ICLR 2022 Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia

NeurIPS 2022 CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia

IJCAI 2022 Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes Yang Li, Yi Zeng

AAAI 2022 FORCE: A Framework of Rule-Based Conversational Recommender System Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang

AAAI 2022 SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu

AAAI 2022 SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu

ECCV 2022 tSF: Transformer-Based Semantic Filter for Few-Shot Learning Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang

IJCAI 2021 Fine-Tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu

ICCV 2021 Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia

AAAI 2018 A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi

IJCAI 2018 Brain-Inspired Balanced Tuning for Spiking Neural Networks Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu

ICCVW 2015 Saliency Detection Using Quaternion Sparse Reconstruction Yi Zeng, Yi Xu