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papers

Publications (55)

cs.LG2026

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao +6

cs.LG2025

Graph4MM: Weaving Multimodal Learning with Structural Information

Xuying Ning, Dongqi Fu, Tianxin Wei +2

cs.AI2026

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents

Minhua Lin, Juncheng Wu, Zijun Wang +14

cs.LG2026

Flow Matching Meets Biology and Life Science: A Survey

Zihao Li, Zhichen Zeng, Xiao Lin +9

cs.LG2025

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation

Xinrui He, Yikun Ban, Jiaru Zou +3

cs.IR2025

CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation

Tianxin Wei, Xuying Ning, Xuxing Chen +6

cs.IR2023

Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning

Xinrui He, Tianxin Wei, Jingrui He

cs.CL2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang +56

cs.CL2026

CoReflect: Conversational Evaluation via Co-Evolutionary Simulation and Reflective Rubric Refinement

Yunzhe Li, Richie Yueqi Feng, Tianxin Wei +1

cs.CL2026

AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs

Chengming Cui, Tianxin Wei, Ziyi Chen +6

cs.CL2025

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence

Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar +2

cs.IR2024

Language Models As Semantic Indexers

Bowen Jin, Hansi Zeng, Guoyin Wang +10

cs.CR2024

WAPITI: A Watermark for Finetuned Open-Source LLMs

Lingjie Chen, Ruizhong Qiu, Siyu Yuan +6

cs.LG2026

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification

Xiao Lin, Philip Li, Zhichen Zeng +6

cs.LG2025

NIRVANA: Structured Pruning Reimagined for Large Language Model Compression

Mengting Ai, Tianxin Wei, Sirui Chen +1

cs.IR2023

Scalable and Effective Generative Information Retrieval

Hansi Zeng, Chen Luo, Bowen Jin +3

cs.AI2026

Heterogeneous Scientific Foundation Model Collaboration

Zihao Li, Jiaru Zou, Feihao Fang +6

cs.LG2025

MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models

Mengting Ai, Tianxin Wei, Yifan Chen +2

cs.LG2026

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning

Ruizhong Qiu, Hanqing Zeng, Yinglong Xia +15

cs.CV2026

Subspace Alignment for Vision-Language Model Test-time Adaptation

Zhichen Zeng, Wenxuan Bao, Xiao Lin +8

cs.CL2026

Harnessing Consistency for Robust Test-Time LLM Ensemble

Zhichen Zeng, Qi Yu, Xiao Lin +6

cs.LG2025

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration

Mengting Ai, Tianxin Wei, Yifan Chen +7

cs.AI2026

ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning

Yanjun Zhao, Ruizhong Qiu, Tianxin Wei +6

cs.CV2025

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization

Tianxin Wei, Yifan Chen, Xinrui He +2

cs.LG2025

Saffron-1: Safety Inference Scaling

Ruizhong Qiu, Gaotang Li, Tianxin Wei +2

cs.LG2025

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data

Zhining Liu, Zihao Li, Ze Yang +6

cs.LG2025

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

Zhining Liu, Ze Yang, Xiao Lin +6

cs.LG2025

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification

Xiao Lin, Zhichen Zeng, Tianxin Wei +3

cs.IR2021

Causal Intervention for Leveraging Popularity Bias in Recommendation

Yang Zhang, Fuli Feng, Xiangnan He +4

cs.LG2022

Neural Collaborative Filtering Bandits via Meta Learning

Yikun Ban, Yunzhe Qi, Tianxin Wei +1

cs.IR2025

i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation

Xuying Ning, Wujiang Xu, Tianxin Wei +1

cs.LG2022

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

Tianxin Wei, Yuning You, Tianlong Chen +3

cs.AI2026

TSAQA: Time Series Analysis Question And Answering Benchmark

Baoyu Jing, Sanhorn Chen, Lecheng Zheng +13

cs.CL2025

GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data

Jiacheng Lin, Kun Qian, Haoyu Han +9

cs.IR2026

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation

Shijun Li, Wooseong Yang, Yu Wang +2

cs.LG2026

Geometric-disentangelment Unlearning

Duo Zhou, Yuji Zhang, Tianxin Wei +9

cs.AI2026

Agentic Reasoning for Large Language Models

Tianxin Wei, Ting-Wei Li, Zhining Liu +26

cs.LG2025

Hierarchical LoRA MoE for Efficient CTR Model Scaling

Zhichen Zeng, Mengyue Hang, Xiaolong Liu +11

cs.AI2026

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains

Xuying Ning, Dongqi Fu, Tianxin Wei +7

cs.IR2026

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs

Yanjun Zhao, Tianxin Wei, Jiaru Zou +7

cs.LG2025

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning

Wenxuan Bao, Ruxi Deng, Ruizhong Qiu +3

cs.LG2024

Meta Clustering of Neural Bandits

Yikun Ban, Yunzhe Qi, Tianxin Wei +2

cs.IR2021

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Tianxin Wei, Fuli Feng, Jiawei Chen +3

cs.LG2025

Panda: Test-Time Adaptation with Negative Data Augmentation

Ruxi Deng, Wenxuan Bao, Tianxin Wei +1

cs.LG2024

PyG-SSL: A Graph Self-Supervised Learning Toolkit

Lecheng Zheng, Baoyu Jing, Zihao Li +9

cs.CL2026

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Tianxin Wei, Noveen Sachdeva, Benjamin Coleman +12

cs.CL2026

EvoSelect: Data-Efficient LLM Evolution for Targeted Task Adaptation

Ting-Wei Li, Sirui Chen, Jiaru Zou +4

cs.CL2026

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents

Yuanchen Bei, Tianxin Wei, Xuying Ning +7

cs.LG2023

Adaptive Test-Time Personalization for Federated Learning

Wenxuan Bao, Tianxin Wei, Haohan Wang +1

cs.LG2026

Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams

Zewen Liu, Zhan Shi, Yisi Sang +7

cs.AI2025

Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs

Zhining Liu, Ziyi Chen, Hui Liu +9

cs.IR2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Tianxin Wei, Bowen Jin, Ruirui Li +8

cs.CL2026

Code as Agent Harness

Xuying Ning, Katherine Tieu, Dongqi Fu +39

cs.IR2022

Comprehensive Fair Meta-learned Recommender System

Tianxin Wei, Jingrui He

cs.IR2026

FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation

Xinrui He, Ting-Wei Li, Tianxin Wei +5