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Conferences
Ziqi Liu
32 papers at tracked venues · 23 at CORE A* · active 2024–2026
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Venues
AAAI
×5
CHI
×4
CIKM
×4
WWW
×3
ACL
×2
EMNLP
×2
NeurIPS
×2
AAMAS
×1
ACM MM
×1
ICCV
×1
ICDE
×1
ICLR
×1
RecSys
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SIGIR
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SIGKDD
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VLDB
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WSDM
×1
Frequent coauthors
Yichi Zhang
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Binbin Hu
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Ziyang Zhou
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Fake Lin
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Zijie Geng
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Yibo Wang
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Sirui Chen
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Gong-Duo Zhang
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Chunjing Gan
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Chang Liu
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Kiljae Lee
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Wenxi Huang
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Papers
AskNow: An LLM-powered Interactive System for Real-Time Question Answering in Large-Scale Classrooms
CHI 2026
·
Ziqi Liu
Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
WWW 2026
·
Ziqi Liu
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
ACL 2026
·
Ziyang Zhou
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SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
AAAI 2026
·
Ziqi Liu
Token-level Collaborative Alignment for LLM-based Generative Recommendation
WWW 2026
·
Fake Lin
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Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
NeurIPS 2025
·
Zijie Geng
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AroMR: Decentralizing Olfactory Displays into the Environment for Olfactory-Augmented Experiences in Mixed Reality
CHI 2025
·
Yibo Wang
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Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
CIKM 2025
·
Sirui Chen
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Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
AAAI 2025
·
Gong-Duo Zhang
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Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
ICDE 2025
·
Chunjing Gan
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Enhancing Smartphone Eye Tracking with Cursor-Based Interactive Implicit Calibration
CHI 2025
·
Chang Liu
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Faithful Group Shapley Value
NeurIPS 2025
·
Kiljae Lee
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Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
WSDM 2025
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Binbin Hu
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MRBench: A Multi-Image Reasoning Benchmark with Adaptive Knowledge Retrieval
ACM MM 2025
·
Wenxi Huang
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Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
ICLR 2025
·
Yichi Zhang
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OpenRSD: Towards Open-Prompts for Object Detection in Remote Sensing Images
ICCV 2025
·
Ziyue Huang
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SET-PAiREd: Designing for Parental Involvement in Learning with an AI-Assisted Educational Robot
CHI 2025
·
Hui-Ru Ho
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TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
AAAI 2025
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Qin Zhang
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Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
AAAI 2025
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Yichi Zhang
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Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
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Xinyu Tang
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Adaptive and Robust Query Execution for Lakehouses At Scale
VLDB 2024
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Maryann Xue
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Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
CIKM 2024
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Qian Zhao
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Can Small Language Models be Good Reasoners for Sequential Recommendation?
WWW 2024
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Yuling Wang
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Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems
SIGKDD 2024
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Jianping Wei
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GraphSAID: Graph Sampling via Attention based Integer Programming Method
AAMAS 2024
·
Ziqi Liu
Knowledge-augmented Financial Market Analysis and Report Generation
EMNLP 2024
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Yuemin Chen
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Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
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Junjie Wang
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MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
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Hao Qian
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NativE: Multi-modal Knowledge Graph Completion in the Wild
SIGIR 2024
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Yichi Zhang
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ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
RecSys 2024
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Changxin Tian
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The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
CIKM 2024
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Binbin Hu
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Time-Sensitve Retrieval-Augmented Generation for Question Answering
CIKM 2024
·
Feifan Wu
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