Skip to content
conftrace_

Zheng Li

84 papers · 2017–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 31 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Zheng Li?

11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Bing Yin, Yifan Gao, Qingyu Yin 34 papers · 2017–2026 · EMNLP, ACL, NAACL Hide ▲
Instant Personalized Large Language Model Adaptation via Hypernetwork ACL 2026 Aligning Large Language Models with Implicit Preferences from User-Generated Content ACL 2025 Can Language Models Follow Multiple Turns of Entangled Instructions? EMNLP 2025 DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025 Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training NAACL 2025 IHEval: Evaluating Language Models on Following the Instruction Hierarchy NAACL 2025 UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations ACL 2025 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs ACL 2024 IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce EMNLP 2024 IterAlign: Iterative Constitutional Alignment of Large Language Models NAACL 2024 Language Models as Semantic Indexers ICML 2024 Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024 MEMORYLLM: Towards Self-Updatable Large Language Models ICML 2024 MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding EMNLP 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NeurIPS 2024 Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NeurIPS 2023 Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns NeurIPS 2023 FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery ACL 2023 Graph Reasoning for Question Answering with Triplet Retrieval ACL 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 Improving Consistency for Text Summarization with Energy Functions EMNLP 2023 Knowledge-Selective Pretraining for Attribute Value Extraction EMNLP 2023 Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels ACL 2023 SCOTT: Self-Consistent Chain-of-Thought Distillation ACL 2023 Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering EMNLP 2022 Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NeurIPS 2022 Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment ACL 2022 Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training NAACL 2022 MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision EMNLP 2021 Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages EMNLP 2020 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019 Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019 End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification IJCAI 2017
20 papers whose co-authors appear nowhere else under this name
ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data CVPR 2026 Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026 DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models AAAI 2026 ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs ACL 2026 Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework CVPR 2026 ArtFormer: Controllable Generation of Diverse 3D Articulated Objects CVPR 2025 Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025 EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection COLING 2025 FloE: On-the-Fly MoE Inference on Memory-constrained GPU ICML 2025 GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models EMNLP 2025 Training-free Fourier Phase Diffusion for Style Transfer IJCAI 2025 Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video AAAI 2025 Can Large Multimodal Models Uncover Deep Semantics Behind Images? ACL 2024 People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User AAAI 2023 Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NeurIPS 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022 Online Knowledge Distillation for Efficient Pose Estimation ICCV 2021 Dimension-Free Bounds for Low-Precision Training NeurIPS 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 PyOD: A Python Toolbox for Scalable Outlier Detection JMLR 2019

Venues · all papers under this name

EMNLP (17) ACL (15) AAAI (9) IJCAI (7) Interspeech (7) ICML (6) NeurIPS (6) CVPR (5) NAACL (4) COLING (2) ICCV (2) ECCV (1) ICLR (1) JMLR (1) WACV (1)