Zhen Qin

49 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (76) 🏆 Grand Slam 🤝 Dynamic Duo (11) 🗃️ Keyword Collector (177) ❓ The Questioner (4) 💎 Century Club (48) 🔥 Unstoppable (6) ⚡ Prolific Year (8)

Conferences

ICLR (10) ACL (8) EMNLP (7) ICML (6) NIPS (5) AAAI (4) NAACL (3) CVPR (2) AISTATS (1) IJCNLP (1) INTERSPEECH (1) JMLR (1)

Top co-authors

Yiran Zhong (12) Michael Bendersky (10) Xuanhui Wang (9) Honglei Zhuang (9) Kai Hui (8) Donald Metzler (8) Tianqi Liu (8) Jiaming Shen (8) Yi Tay (7) Jialu Liu (6)

Research topics

Keywords

large language model (7) information retrieval (6) transformer architecture (4) language model (4) language modeling (3) sequence modeling (3) attention mechanism (3) convolutional neural network (2) federated learning (2) recurrent neural network (2) representation learning (2) few-shot learning (2) zero-shot learning (2) document ranking (2) multimodal learning (2) model architecture (2) text classification (2) in-context learning (2) model compression (2) knowledge distillation (2)

Papers

Learning Spatial Decay for Vision Transformers AAAI 2026

Federated Data-Efficient Instruction Tuning for Large Language Models ACL 2025

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025

LiPO: Listwise Preference Optimization through Learning-to-Rank NAACL 2025

MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition ICML 2025

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025

Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025

Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025

RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025

Inference Scaling for Long-Context Retrieval Augmented Generation ICLR 2025

AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks ACL 2025

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration ACL 2025

Scaling Laws for Linear Complexity Language Models EMNLP 2024

Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention ICML 2024

Multilingual Fine-Grained News Headline Hallucination Detection EMNLP 2024

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024

CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting NAACL 2024

Predicting Text Preference Via Structured Comparative Reasoning ACL 2024

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs ACL 2024

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels NAACL 2024

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024

Exploring Transformer Extrapolation AAAI 2024

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP 2024

Toeplitz Neural Network for Sequence Modeling ICLR 2023

Hierarchically Gated Recurrent Neural Network for Sequence Modeling NIPS 2023

RD-Suite: A Benchmark for Ranking Distillation NIPS 2023

Learning List-Level Domain-Invariant Representations for Ranking NIPS 2023

Fine-Grained Audible Video Description CVPR 2023

Accelerating Toeplitz Neural Network with Constant-time Inference Complexity EMNLP 2023

PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023

Encoding Recurrence into Transformers ICLR 2023

Error Analysis of Tensor-Train Cross Approximation NIPS 2022

cosFormer: Rethinking Softmax In Attention ICLR 2022

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization ICLR 2022

The Devil in Linear Transformer EMNLP 2022

On the Value of Prior in Online Learning to Rank AISTATS 2022

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference ACL 2022

Transformer Memory as a Differentiable Search Index NIPS 2022

Are Pretrained Convolutions Better than Pretrained Transformers? ACL 2021

Are Pretrained Convolutions Better than Pretrained Transformers? IJCNLP 2021

OmniNet: Omnidirectional Representations from Transformers ICML 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR 2021

Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020

Do RNN and LSTM have Long Memory? ICML 2020

Long Distance Voice Channel Diagnosis Using Deep Neural Networks INTERSPEECH 2018

An Online Learned Elementary Grouping Model for Multi-target Tracking CVPR 2014