Yi Zeng
42 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
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Conferences
AAAI (9)
ICLR (9)
IJCAI (6)
NIPS (6)
ICCV (3)
ICML (3)
ACL (2)
CVPR (2)
ECCV (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
spiking neural network
(7)
large language model
(4)
backdoor attack
(3)
neuromorphic computing
(3)
object detection
(2)
autonomous driving
(2)
dynamic vision sensor
(2)
intellectual property
(2)
continual learning
(2)
3d object detection
(2)
multimodal learning
(2)
energy efficiency
(2)
semantic segmentation
(2)
point cloud
(2)
adversarial attack
(2)
image generation
(1)
action recognition
(1)
adversarial robustness
(1)
feature learning
(1)
catastrophic forgetting
(1)
Papers
Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
AAAI 2026
CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models
ACL 2026
Brain-Inspired Stepwise Patch Merging for Vision Transformers
IJCAI 2025
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
ICLR 2025
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
CVPR 2025
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
ICLR 2025
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
AAAI 2025
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
ICLR 2025
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
ICCV 2025
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
ICLR 2025
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
ICLR 2025
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
AAAI 2025
MatchDet: A Collaborative Framework for Image Matching and Object Detection
AAAI 2024
Fairness-Aware Meta-Learning via Nash Bargaining
NIPS 2024
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
NIPS 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
NIPS 2024
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
AAAI 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
AAAI 2024
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
ACL 2024
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
CVPR 2024
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
EMNLP 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
ICLR 2024
Position: A Safe Harbor for AI Evaluation and Red Teaming
ICML 2024
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
ICML 2024
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
IJCAI 2024
LAVA: Data Valuation without Pre-Specified Learning Algorithms
ICLR 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
ICML 2023
Where Did I Come From? Origin Attribution of AI-Generated Images
NIPS 2023
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
IJCAI 2023
Towards Robustness Certification Against Universal Perturbations
ICLR 2023
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition
NIPS 2023
SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds
AAAI 2022
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
AAAI 2022
tSF: Transformer-Based Semantic Filter for Few-Shot Learning
ECCV 2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
NIPS 2022
FORCE: A Framework of Rule-Based Conversational Recommender System
AAAI 2022
Adversarial Unlearning of Backdoors via Implicit Hypergradient
ICLR 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
IJCAI 2022
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
ICCV 2021
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
IJCAI 2021
Towards High-Resolution Salient Object Detection
ICCV 2019
Brain-inspired Balanced Tuning for Spiking Neural Networks
IJCAI 2018