Ziqian Zeng
31 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (75) π€ Dynamic Duo (16)
ποΈ
Keyword Collector
(148)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(27)
Artificial Intelligence
(21)
Learning Types Β· Machine Learning
(17)
Core AI
(15)
Deep Learning
(11)
Natural Language Processing
(10)
Application Areas
(9)
Learning Types Β· Deep Learning
(9)
Optimization & Theory Β· Machine Learning
(7)
Applications
(6)
Core Methods
(6)
Learning Paradigms
(6)
Optimization & Theory Β· Deep Learning
(4)
Resources & Methods
(4)
Security & Privacy
(2)
Keywords
large language model
(5)
class-incremental learning
(5)
analytic learning
(5)
weakly supervised learning
(4)
catastrophic forgetting
(4)
adaptive policy
(3)
continual learning
(3)
closed-form solution
(3)
simultaneous machine translation
(3)
differential privacy
(2)
translation latency
(2)
variational inference
(2)
reinforcement learning
(2)
exemplar-free learning
(2)
word embedding
(2)
safety alignment
(2)
multimodal large language model
(2)
sentiment classification
(2)
few-shot learning
(2)
read-write policy
(2)
Papers
Activation-Guided Local Editing for Jailbreaking Attacks
ACL 2026
ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior
CVPR 2026
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
ACL 2026
Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography
AAAI 2026
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
AAAI 2026
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
EMNLP 2025
DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation
EMNLP 2025
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
ACL 2025
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
EMNLP 2025
SDD: Self-Degraded Defense against Malicious Fine-tuning
ACL 2025
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
ACL 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
ICML 2025
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
AAAI 2024
Dissecting Fine-Tuning Unlearning in Large Language Models
EMNLP 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
AAAI 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NeurIPS 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NeurIPS 2024
On the Use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
COLING 2024
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation
EMNLP 2024
Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator
COLING 2024
Adaptive Policy with Wait-k Model for Simultaneous Translation
EMNLP 2023
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
ACL 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
Weakly Supervised Text Classification using Supervision Signals from a Language Model
NAACL 2022
Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
EACL 2021
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
NAACL 2019
Biased Random Walk based Social Regularization for Word Embeddings
IJCAI 2018
Socialized Word Embeddings
IJCAI 2017