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Xuetao Wei
33 papers at tracked venues · 28 at CORE A* · active 2024–2026
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ORCID 0000-0002-4450-2251 ↗
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Venues
AAAI
×8
ACL
×6
NeurIPS
×5
SIGKDD
×4
ACM MM
×2
SIGIR
×2
CIKM
×1
ECAI
×1
ICDM
×1
IJCAI
×1
NAACL
×1
WWW
×1
Frequent coauthors
Yuanshao Zhu
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×4
Maolin Wang
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×3
Xingyu Zhu
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×3
Xinwei Guo
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×2
Yejing Wang
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×2
Yan Yang
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×2
Junlei Zhou
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×2
Langming Liu
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×2
Jiashi Gao
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×2
Yifan Liu
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×1
Yi Lin
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×1
Xiaopeng Li
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×1
Papers
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
AAAI 2026
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Yuanshao Zhu
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Can LLMs Hear the Dogwhistle?
ACL 2026
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Yifan Liu
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GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models
AAAI 2026
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Yi Lin
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MTA: A Merge-then-Adapt Framework for Personalized Large Language Models
ACL 2026
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Xiaopeng Li
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Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
ACL 2026
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Zeguan Xiao
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ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
SIGIR 2026
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Derong Xu
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Renormalization Group Guided Tensor Network Structure Search
AAAI 2026
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Maolin Wang
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The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
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Xinwei Guo
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Behavior Modeling Space Reconstruction for E-Commerce Search
WWW 2025
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Yejing Wang
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DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
IJCAI 2025
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Maolin Wang
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DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
AAAI 2025
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Xingyu Zhu
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GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
AAAI 2025
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Xiao Han
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GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
SIGKDD 2025
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Sheng Zhang
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ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
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Yan Yang
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LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
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Yuxuan Li
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Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
SIGKDD 2025
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Yuanshao Zhu
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Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
AAAI 2025
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Xingyu Zhu
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Mitigating Stereotypes in Text-to-Image Generation: A Novel Perspective of Selective Neural Suppression
ACM MM 2025
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Junlei Zhou
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Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
SIGKDD 2025
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Langming Liu
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STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
SIGIR 2025
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Maolin Wang
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SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
NAACL 2025
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Yan Yang
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The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
ACL 2025
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Xinwei Guo
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UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
NeurIPS 2025
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Yuanshao Zhu
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Achieving Resolution-Agnostic DNN-based Image Watermarking: A Novel Perspective of Implicit Neural Representation
ACM MM 2024
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Yuchen Wang
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Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
ECAI 2024
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Jiashi Gao
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Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NeurIPS 2024
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Junlei Zhou
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Bi-Level User Modeling for Deep Recommenders
ICDM 2024
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Yejing Wang
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ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
SIGKDD 2024
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Yuanshao Zhu
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Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
NeurIPS 2024
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Jiashi Gao
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Efficient and Robust Regularized Federated Recommendation
CIKM 2024
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Langming Liu
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G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
NeurIPS 2024
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Pengyue Jia
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Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
AAAI 2024
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Xingyu Zhu
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Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
NeurIPS 2024
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Ziyi Zhou
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