Ziqian Zeng
30 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Conference Polyglot (10) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Academic Marathon (8)
π
Cross-Pollinator
(9)
π
Conference Polyglot
(10)
π
Academic Marathon
(8)
π€
Dynamic Duo
(13)
π₯
Unstoppable
(5)
π
Century Club
(26)
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(126)
Conferences
ACL (7)
EMNLP (6)
AAAI (4)
COLING (2)
CVPR (2)
ICML (2)
IJCAI (2)
NAACL (2)
NIPS (2)
EACL (1)
Top co-authors
Research topics
Keywords
analytic learning
(5)
large language model
(5)
catastrophic forgetting
(4)
weakly supervised learning
(4)
continual learning
(3)
simultaneous machine translation
(3)
class incremental learning
(3)
closed-form solution
(3)
adaptive policy
(3)
translation latency
(2)
variational inference
(2)
differential privacy
(2)
read-write policy
(2)
reinforcement learning
(2)
few-shot learning
(2)
word embedding
(2)
sentiment classification
(2)
safety alignment
(2)
exemplar-free learning
(2)
sentiment analysis
(1)
Papers
Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography
AAAI 2026
Activation-Guided Local Editing for Jailbreaking Attacks
ACL 2026
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
ACL 2026
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
AAAI 2026
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
EMNLP 2025
DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation
EMNLP 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
ICML 2025
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
SDD: Self-Degraded Defense against Malicious Fine-tuning
ACL 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
ACL 2025
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
ACL 2025
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
EMNLP 2025
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation
EMNLP 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NIPS 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
AAAI 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
AAAI 2024
On the Use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
COLING 2024
Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator
COLING 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NIPS 2024
Dissecting Fine-Tuning Unlearning in Large Language Models
EMNLP 2024
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
ACL 2023
Adaptive Policy with Wait-k Model for Simultaneous Translation
EMNLP 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