Zheng Li
82 papers · 2017–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (16) π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
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(10)
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Taxonomy Completionist
(121)
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Triple Crown
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Mega-Team
(22)
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Keyword Champion
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Dynamic Duo
(26)
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Deep Specialist
(12)
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Keyword Collector
(294)
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Century Club
(76)
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Unstoppable
(7)
β
The Questioner
(2)
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Prolific Year
(5)
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Conference Pioneer
Conferences
EMNLP (17)
ACL (15)
AAAI (9)
IJCAI (7)
INTERSPEECH (7)
ICML (6)
NIPS (6)
NAACL (4)
COLING (2)
CVPR (2)
ICCV (2)
ECCV (1)
ICLR (1)
IJCNLP (1)
JMLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(15)
knowledge distillation
(10)
domain adaptation
(6)
multi-task learning
(6)
few-shot learning
(5)
knowledge graph
(5)
neural network
(5)
benchmark evaluation
(5)
adversarial learning
(5)
question answering
(5)
speaker verification
(4)
model compression
(4)
reinforcement learning
(4)
language model
(4)
transfer learning
(4)
attention mechanism
(4)
graph neural network
(4)
language recognition
(3)
multimodal learning
(3)
speaker embedding
(3)
Papers
Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers
AAAI 2026
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
Open SchrΓΆdingerβs Closed Box: Identifying Retrieval Augmented Generation in API-Accessible Large Language Model Services
ACL 2026
Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning
AAAI 2026
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
ACL 2026
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
AAAI 2026
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
AAAI 2025
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
AAAI 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Training-free Fourier Phase Diffusion for Style Transfer
IJCAI 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
ICML 2025
Local Identifying Causal Relations in the Presence of Latent Variables
ICML 2025
Advancing Textual Prompt Learning with Anchored Attributes
ICCV 2025
Shy-hunyuan-MT at WMT25 General Machine Translation Shared Task
EMNLP 2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP 2025
GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models
EMNLP 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection
COLING 2025
MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning
COLING 2025
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
CVPR 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
EMNLP 2025
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
AAAI 2025
MEMORYLLM: Towards Self-Updatable Large Language Models
ICML 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NIPS 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
ACL 2024
Can Large Multimodal Models Uncover Deep Semantics Behind Images?
ACL 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
CVPR 2024
Cascade Prompt Learning for Visual-Language Model Adaptation
ECCV 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding
EMNLP 2024
ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
EMNLP 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
EMNLP 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
EMNLP 2024
Evolutionary Contrastive Distillation for Language Model Alignment
EMNLP 2024
Language Models as Semantic Indexers
ICML 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
IJCAI 2024
IterAlign: Iterative Constitutional Alignment of Large Language Models
NAACL 2024
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
NIPS 2023
Graph Reasoning for Question Answering with Triplet Retrieval
ACL 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
ACL 2023
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
ACL 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
ACL 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
ICLR 2023
Data Poisoning Attacks Against Multimodal Encoders
ICML 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NIPS 2023
ReCode: Robustness Evaluation of Code Generation Models
ACL 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
ACL 2023
Knowledge-Selective Pretraining for Attribute Value Extraction
EMNLP 2023
Improving Consistency for Text Summarization with Energy Functions
EMNLP 2023
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User
AAAI 2023
Curriculum Temperature for Knowledge Distillation
AAAI 2023
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
NAACL 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
ACL 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
EMNLP 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
NIPS 2022
Multi-View Visual Semantic Embedding
IJCAI 2022
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
IJCAI 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
NIPS 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
ACL 2022
Oriental Language Recognition (OLR) 2020: Summary and Analysis
INTERSPEECH 2021
Phoneme-Aware and Channel-Wise Attentive Learning for Text Dependent Speaker Verification
INTERSPEECH 2021
Additive Phoneme-Aware Margin Softmax Loss for Language Recognition
INTERSPEECH 2021
Online Knowledge Distillation for Efficient Pose Estimation
ICCV 2021
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision
EMNLP 2021
On the Usage of Multi-Feature Integration for Speaker Verification and Language Identification
INTERSPEECH 2020
GAR: Graph Assisted Reasoning for Object Detection
WACV 2020
Exploiting Visual Semantic Reasoning for Video-Text Retrieval
IJCAI 2020
Efficient and Modularized Training on FPGA for Real-time Applications
IJCAI 2020
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages
EMNLP 2020
The XMUSPEECH System for the AP19-OLR Challenge
INTERSPEECH 2020
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
IJCNLP 2019
Anti-Spoofing Speaker Verification System with Multi-Feature Integration and Multi-Task Learning
INTERSPEECH 2019
Deep Speaker Embedding Extraction with Channel-Wise Feature Responses and Additive Supervision Softmax Loss Function
INTERSPEECH 2019
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification
AAAI 2019
PyOD: A Python Toolbox for Scalable Outlier Detection
JMLR 2019
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks
EMNLP 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
EMNLP 2019
Dimension-Free Bounds for Low-Precision Training
NIPS 2019
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification
IJCAI 2017