Jiakai Wang
24 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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Cross-Pollinator
(12)
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Conference Polyglot
(8)
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Academic Marathon
(5)
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(13)
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Topic Evolution
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Century Club
(19)
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Prolific Year
(8)
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Keyword Collector
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Unstoppable
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Conferences
AAAI (5)
CVPR (5)
NIPS (4)
IJCAI (3)
ACL (2)
ICLR (2)
ECCV (1)
EMNLP (1)
ICCV (1)
Top co-authors
Research topics
Keywords
large language model
(6)
adversarial attack
(3)
object detection
(3)
model compression
(3)
model quantization
(2)
knowledge distillation
(2)
domain adaptation
(2)
activation editing
(2)
image generation
(1)
object recognition
(1)
adversarial robustness
(1)
gradient-based optimization
(1)
computer vision
(1)
deepfake detection
(1)
adversarial learning
(1)
trajectory prediction
(1)
autonomous driving
(1)
transfer learning
(1)
dialogue generation
(1)
neural machine translation
(1)
Papers
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
AAAI 2026
Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models
AAAI 2026
Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
AAAI 2026
Query-Routed Activation Editing with Truth-hierarchical Preference Optimization
AAAI 2026
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
AAAI 2026
Token-Aware Editing of Internal Activations for Large Language Model Alignment
EMNLP 2025
Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation
ACL 2025
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
ICLR 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
NAPGuard: Towards Detecting Naturalistic Adversarial Patches
CVPR 2024
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
ICLR 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NIPS 2024
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
IJCAI 2024
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
NIPS 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models
ACL 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NIPS 2024
BiDM: Pushing the Limit of Quantization for Diffusion Models
NIPS 2024
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
CVPR 2023
Defensive Patches for Robust Recognition in the Physical World
CVPR 2022
Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
ICCV 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
CVPR 2021
Adversarial Examples in Physical World
IJCAI 2021
Bias-based Universal Adversarial Patch Attack for Automatic Check-out
ECCV 2020