| 2026 | AAAI | Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble. | Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng |
| 2026 | ACL | TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents. | Kai Li, Xuanqing Yu, Ziyi Ni, Yi Zeng, Yao Xu, Zheqing Zhang, Xin Li, Jitao Sang, Xiaogang Duan, Xuelei Wang, Chengbao Liu, Jie Tan |
| 2026 | ACL | EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions. | Weiyu Sun, Liangliang Chen, Yongnuo Cai, Huiru Xie, Yi Zeng, Ying Zhang |
| 2026 | ACL | CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models. | Haibo Tong, Zeyang Yue, Feifei Zhao, Erliang Lin, Lu Jia, Ruolin Chen, Yinqian Sun, Qian Zhang, Yi Zeng |
| 2026 | FPGA | Hummingbird+: Advancing FPGA-based LLM Deployment from Research Prototype to Edge Product. | Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2026 | ISCAS | FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control. | Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2025 | AAAI | 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 |
| 2025 | AAAI | StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? | Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng |
| 2025 | CEC | A Centroid Guided Cluster Transformation for Dynamic Multi-Objective Optimization Algorithm. | Yi Zeng, Xuewen Xia, Fenglin Lin, Yuehui Zhang, Meitong Liu |
| 2025 | CVPR | 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 |
| 2025 | DATE | Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. | Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2025 | HCI | The Privacy-Efficiency Tradeoff: How AI Learning Analytics Influence Performance and Reuse Intention. | Mandie Liu, Yi Zeng, Xuyu Fan |
| 2025 | ICCAD | Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. | Jindong Li, Tenglong Li, Ruiqi Chen, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2025 | ICCV | SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility. | Guobin Shen, Jindong Li, Tenglong Li, Dongcheng Zhao, Yi Zeng |
| 2025 | ICDE | MSPR: A Multi-Scenario Player Recommendation Framework for Online Gaming. | Minghao Chen, Haodong Chen, Yi Zeng, Zhenfeng Liang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 S. Vullikanti, Sheng Li |
| 2025 | ICLR | Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. | Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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, et al. |
| 2025 | IJCAI | Brain-Inspired Stepwise Patch Merging for Vision Transformers. | Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs. | Yi Zeng, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, Weiyan Shi |
| 2024 | CVPR | Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. | Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng |
| 2024 | EMNLP | BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models. | Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia |
| 2024 | FPL | Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. | Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Enhancing Spiking Transformers with Binary Attention Mechanisms. | Guobin Shen, Dongcheng Zhao, Sicheng Shen, Yi Zeng |
| 2024 | ICML | 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, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson |
| 2024 | ICML | RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. | Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li |
| 2024 | IJCAI | TIM: An Efficient Temporal Interaction Module for Spiking Transformer. | Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng |
| 2024 | IJCNN | Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. | Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng |
| 2023 | CCS | Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. | Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia |
| 2023 | ICLR | LAVA: Data Valuation without Pre-Specified Learning Algorithms. | Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia |
| 2023 | ICLR | Towards Robustness Certification Against Universal Perturbations. | Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia |
| 2023 | ICML | Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. | Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou |
| 2023 | IJCAI | Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. | Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen |
| 2022 | AAAI | SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds. | Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu |
| 2022 | AAAI | SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds. | Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu |
| 2022 | AAAI | 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 |
| 2022 | CBMS | ECG heartbeat classification based on combined features extracted by PCA, KPCA, AKPCA and DWT. | Junhao Zhu, Yi Zeng, Jianheng Zhou, Xunde Dong |
| 2022 | ECCV | 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 |
| 2022 | ICLR | Adversarial Unlearning of Backdoors via Implicit Hypergradient. | Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia |
| 2022 | IJCAI | Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. | Yang Li, Yi Zeng |
| 2022 | ISCAS | An Auxiliary-Loop-Enhanced Fast-Transient FVF LDO as Reference Buffer of a SAR ADC. | Yi Zeng, Chi-Hang Chan, Yan Zhu, Rui Paulo Martins |
| 2021 | AsiaCCS | DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation. | Han Qiu, Yi Zeng, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham |
| 2021 | ICASSP | Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition. | Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang |
| 2021 | ICASSP | PD-GAN: Perceptual-Details GAN for Extremely Noisy Low Light Image Enhancement. | Yijun Liu, Zhengning Wang, Yi Zeng, Hao Zeng, Deming Zhao |
| 2021 | ICCV | Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective. | Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia |
| 2021 | ICIG | A Detection and Tracking Combined Network for Long-Term Tracking. | Hao Zeng, Zhengning Wang, Deming Zhao, Yijun Liu, Yi Zeng |
| 2021 | IJCAI | 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 |
| 2021 | IJCNN | A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. | Hongjian Fang, Yi Zeng |
| 2020 | HealthCom | Flexible NH3 gas sensor based on porous nanosheet-assembled ZnFe2O4/polyaniline yolk-shell microspheres. | Jiaming Zhao, Chunbao Liu, Yi Zeng |
| 2020 | ICA3PP | A Data Augmentation-Based Defense Method Against Adversarial Attacks in Neural Networks. | Yi Zeng, Han Qiu, Grard Memmi, Meikang Qiu |
| 2019 | AAAI | Linking Artificial Intelligence Principles. | Yi Zeng, Enmeng Lu, Cunqing Huangfu |
| 2019 | CEC | Brain Storm Optimization Algorithm based on Competition Mechanism. | Fenqiang Li, Hu Peng, Changshou Deng, Yi Zeng, Yucheng Tan, Wenjun Wang |
| 2019 | HPSR | Joint Energy and Spectrum Efficient Virtual Optical Network embedding in EONs. | Wenting Wei, Huaxi Gu, Achille Pattavina, Jiru Wang, Yi Zeng |
| 2019 | ICCV | Towards High-Resolution Salient Object Detection. | Yi Zeng, Pingping Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu |
| 2019 | IJCNN | Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. | Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao |
| 2019 | IJCNN | Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. | Dongcheng Zhao, Yi Zeng |
| 2018 | AAAI | A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi |
| 2018 | ICONIP | Network of Recurrent Neural Networks: Design for Emergence. | Chaoming Wang, Yi Zeng |
| 2018 | IJCAI | Brain-inspired Balanced Tuning for Spiking Neural Networks. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu |
| 2017 | ICONIP | Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning. | Feifei Zhao, Tielin Zhang, Yi Zeng, Bo Xu |
| 2017 | ISNN | A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. | Guang Qiao, Hongyue Du, Yi Zeng |
| 2016 | ICASSP | Saliency detection using tensor sparse reconstruction residual analysis. | Yi Zeng, Yi Xu |
| 2016 | SMC | SHTM: A neocortex-inspired algorithm for one-shot text generation. | Yuwei Wang, Yi Zeng, Bo Xu |
| 2016 | SMC | HMSNN: Hippocampus inspired Memory Spiking Neural Network. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu |
| 2016 | SMC | Research topics variation analysis and prediction based on FARO and neural networks. | Hongyin Zhu, Yi Zeng, Yiping Yang |
| 2015 | ICIP | Biologically inspired deep stereo model. | Qingqun Kong, Yi Zeng, Qiulei Dong |
| 2015 | IJCNN | HEVS: A hierarchical computational model for Early stages of the Visual System. | Jiuqi Han, Qingqun Kong, Yi Zeng, Hongwei Hao |
| 2014 | CIKM | DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. | Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng, Liang Chen, John O'Donovan |
| 2014 | CIKM | Web-KR 2014: The 5th International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning. | Yi Zeng, Spyros Kotoulas, Zhisheng Huang |
| 2013 | CAIP | Multi-run 3D Streetside Reconstruction from a Vehicle. | Yi Zeng, Reinhard Klette |
| 2013 | CIKM | Web-KR 2013: the 4th international workshop on web-scale knowledge representation, retrieval and reasoning. | Yi Zeng, Spyros Kotoulas, Zhisheng Huang |
| 2013 | SMC | Entity Conceptualization and Understanding Based on Web-Scale Knowledge Bases. | Yi Zeng, Hongwei Hao, Bo Xu |
| 2012 | CIKM | The 2012 international workshop on web-scale knowledge representation, retrieval, and reasoning. | Spyros Kotoulas, Yi Zeng, Zhisheng Huang |
| 2012 | CIKM | Ranking and combining social network data for web personalization. | Yi Zeng, Hongwei Hao, Ning Zhong, Xu Ren, Yan Wang |
| 2012 | IGARSS | Unsupervised change detection on remote sensing images using non-local information and Markov Random Field Models. | Peng Liu, Shengtao Sun, Guoqing Li, Jibo Xie, Yi Zeng |
| 2012 | WWW | User interests driven web personalization based on multiple social networks. | Yi Zeng, Ning Zhong, Xu Ren, Yan Wang |
| 2011 | KSEM | Interest Logic and Its Application on the Web. | Yi Zeng, Zhisheng Huang, Fenrong Liu, Xu Ren, Ning Zhong |
| 2010 | EUC | UbiCloud: A Cloud Computing System for Ubiquitous Terminals Based on End User Virtualization. | Yuanfei Chen, Zhenmin Zhu, Yi Zeng, Zhe He |
| 2008 | ICCS | Study on Implementation of High-Performance GIServices in Spatial Information Grid. | Fang Huang, Dingsheng Liu, Guoqing Li, Yi Zeng, Yunxuan Yan |
| 2008 | SECON | Vector Kalman Filter Using Multiple Parents for Time Synchronization in Multi-Hop Sensor Networks. | Yi Zeng, Bo Hu, Shunjia Liu |
| 2007 | IGARSS | A general model of data service in spatial information grid. | Dingsheng Liu, Yi Zeng, Guoqing Li, Fang Huang |
| 2007 | Mobiquitous | Time Division Flooding Synchronization Protocol for Sensor Networks. | Yi Zeng, Bo Hu, Hui Feng |
| 2006 | ISPA | Spatial Data Service Models in Grid Environment. | Guoqing Li, Dingsheng Liu, Zhenchun Huang, Yi Zeng, Yong Xue |
| 2004 | PADS | Batch Based Cancellation: A Rollback Optimal Cancellation Scheme in Time Warp Simulations. | Yi Zeng, Wentong Cai, Stephen John Turner |
| 2003 | WSC | Parallel distributed simulation and modeling methods: causal order based time warp: a tradeoff of optimism. | Yi Zeng, Wentong Cai, Stephen John Turner |