Jie Zou

Orcid: 0000-0002-0181-778X

Affiliations:
  • University of Electronic Science and Technology of China, China
  • Nanyang Technological University, Singapore (former)
  • University of Amsterdam, The Netherlands (former)
  • Chongqing University, China (former)


According to our database1, Jie Zou authored at least 49 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation.
CoRR, April, 2026

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing.
CoRR, April, 2026

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization.
CoRR, March, 2026

Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain.
CoRR, February, 2026

CooSBR: Rethinking neighborhood integration for session-based recommendation.
Inf. Process. Manag., 2026

Multi-type context-aware conversational recommender systems via mixture-of-experts.
Inf. Fusion, 2026

Less is more: Adaptive prompt compression and exemplar selection for efficient few-shot sentiment analysis.
Expert Syst. Appl., 2026

Not All Information Brings Benefits: Personalization-Driven Agent Debate for Conversational Recommendation.
Proceedings of the ACM Web Conference 2026, 2026

ScotRec: Social Chain-of-Thought LLM Reasoning for Recommendation.
Proceedings of the ACM Web Conference 2026, 2026

Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Lightweight LLM Agent Memory with Small Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Distilling Grounding DINO for an Edge-Cloud Collaborative Advanced Driver Assistance System.
IEEE Trans. Circuits Syst. Video Technol., December, 2025

Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction.
CoRR, November, 2025

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems.
CoRR, April, 2025

PSCon: Toward Conversational Product Search.
CoRR, February, 2025

Retrieval Augmented Multi-agent Recommender.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

PSCon: Product Search Through Conversations.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling.
ACM Trans. Inf. Syst., November, 2024

Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective.
IEEE Trans. Multim., 2024

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling.
CoRR, 2024

Region-Aware Distribution Contrast: A Novel Approach to Multi-task Partially Supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Ask or Recommend: An Empirical Study on Conversational Product Search.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Learning to Ask: Conversational Product Search via Representation Learning.
ACM Trans. Inf. Syst., April, 2023

Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification.
ACM Trans. Inf. Syst., January, 2023

Asking Clarifying Questions: To benefit or to disturb users in Web search?
Inf. Process. Manag., 2023

Research on the Influence of Drone Countermeasure Equipment on the Surveillance System Used in Civil Aviation.
IEEE Access, 2023

Cross-modal Consistency Learning with Fine-grained Fusion Network for Multimodal Fake News Detection.
Proceedings of the ACM Multimedia Asia 2023, 2023

2022
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Improving search and recommendation by asking clarifying questions.
SIGIR Forum, 2021

Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems.
CoRR, 2021

Category Aware Explainable Conversational Recommendation.
CoRR, 2021

2020
Towards Question-based High-recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-assisted Reviews.
ACM Trans. Inf. Syst., 2020

Block-Aware Item Similarity Models for Top-<i>N</i> Recommendation.
ACM Trans. Inf. Syst., 2020

Towards Question-based Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

An Empirical Study on Clarifying Question-Based Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Learning to Ask: Question-based Sequential Bayesian Product Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017
Towards comprehending the non-functional requirements through Developers' eyes: An exploration of Stack Overflow using topic analysis.
Inf. Softw. Technol., 2017

Learning to aggregate: an automated aggregation method for software quality model.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Automated Duplicate Bug Report Detection Using Multi-Factor Analysis.
IEICE Trans. Inf. Syst., 2016

Duplication Detection for Software Bug Reports based on Topic Model.
Proceedings of the 9th International Conference on Service Science, 2016

2015
Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015


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