A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. - Lei Chen 072; Fajie Yuan; Jiaxi Yang; Xiang Ao 001; Chengming Li; Min Yang 007 (AAAI, 2021)

Differentially Private Correlation Alignment for Domain Adaptation. - Kaizhong Jin; Xiang Cheng 003; Jiaxi Yang; Kaiyuan Shen (IJCAI, 2021)

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. - Lei Chen 072; Fajie Yuan; Jiaxi Yang; Min Yang 007; Chengming Li (CoRR, 2021)

A Survey of Toxic Comment Classification Methods. - Kehan Wang; Jiaxi Yang; Hongjun Wu 005 (CoRR, 2021)

Glass Segmentation using Intensity and Spectral Polarization Cues. - Haiyang Mei; Bo Dong 004; Wen Dong 008; Jiaxi Yang; Seung-Hwan Baek; Felix Heide; Pieter Peers; Xiaopeng Wei; Xin Yang 011 (CVPR, 2022)

Public Data Assisted Differential Private Deep Learning. - Jiaxi Yang; Xiang Cheng 003 (IJCNN, 2022)

Research on Chinese Short Text Classification Based on Prefix-vector Attention Template and Probabilistic Answer Set. - Baoshan Sun; Jiaxi Yang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Multi-dimensional Data Quick Query for Blockchain-Based Federated Learning. - Jiaxi Yang; Sheng Cao; Peng Xiangli; Xiong Li 002; Xiaosong Zhang 001 (WASA (3), 2022)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li 002; Bailin Wang; Bowen Qin; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma 001; et al. (NeurIPS, 2023)

Matching-based Data Valuation for Generative Model. - Jiaxi Yang; Wenglong Deng; Benlin Liu; Yangsibo Huang; Xiaoxiao Li (CoRR, 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Binhua Li; Jiaxi Yang; Bowen Li 002; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; et al. (CoRR, 2023)

Iterative Forward Tuning Boosts In-context Learning in Language Models. - Jiaxi Yang; Binyuan Hui; Min Yang 007; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2023)

Federated Learning Incentive Mechanism under Buyers' Auction Market. - Jiaxi Yang; Zihao Guo; Sheng Cao; Cuifang Zhao; Li-Chuan Tsai (CoRR, 2023)

A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions. - Jiaxi Yang; Yang Zhao (CoRR, 2023)

Marathon: A Race Through the Realm of Long Context with Large Language Models. - Lei Zhang 201; Yunshui Li; Ziqiang Liu; Jiaxi Yang; Junhao Liu 001; Min Yang 007 (CoRR, 2023)

One Shot Learning as Instruction Data Prospector for Large Language Models. - Yunshui Li; Binyuan Hui; Xiaobo Xia; Jiaxi Yang; Min Yang 007; Lei Zhang 201; Shuzheng Si; Junhao Liu 001; Tongliang Liu; Fei Huang 002; Yongbin Li (CoRR, 2023)

Auto Insurance Fraud Detection with Multimodal Learning. - Jiaxi Yang; Kui Chen; Kai Ding; Chongning Na; Meng Wang (Data Intell., 2023)

User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. - Lei Chen 072; Fajie Yuan; Jiaxi Yang; Xiangnan He 001; Chengming Li; Min Yang 007 (IEEE Trans. Knowl. Data Eng., 2023)

One-Shot Learning as Instruction Data Prospector for Large Language Models. - Yunshui Li; Binyuan Hui; Xiaobo Xia; Jiaxi Yang; Min Yang 007; Lei Zhang 201; Shuzheng Si; Ling-Hao Chen; Junhao Liu 001; Tongliang Liu; Fei Huang 002; Yongbin Li (ACL (1), 2024)

Iterative Forward Tuning Boosts In-Context Learning in Language Models. - Jiaxi Yang; Binyuan Hui; Min Yang 007; Bailin Wang; Bowen Li 002; Binhua Li; Fei Huang 002; Yongbin Li (ACL (1), 2024)

Synthesizing Text-to-SQL Data from Weak and Strong LLMs. - Jiaxi Yang; Binyuan Hui; Min Yang 007; Jian Yang 003; Junyang Lin; Chang Zhou (ACL (1), 2024)

Marathon: A Race Through the Realm of Long Context with Large Language Models. - Lei Zhang 201; Yunshui Li; Ziqiang Liu; Jiaxi Yang; Junhao Liu 001; Longze Chen; Run Luo; Min Yang 007 (ACL (1), 2024)

Xylocode: A Novel Approach to Fostering Interest in Computer Science via an Embodied Music Simulation. - Duri Long; Jiaxi Yang; Cassandra Naomi; Brian Magerko (CHI, 2024)

Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning. - Jiaxi Yang; Sheng Cao; Cuifang Zhao; Weina Niu; Li-Chuan Tsai (WCNC, 2024)

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. - Lei Zhang 201; Yunshui Li; Jiaming Li 004; Xiaobo Xia; Jiaxi Yang; Run Luo; Minzheng Wang 001; Longze Chen; Junhao Liu 001; Min Yang 007 (CoRR, 2024)

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis. - Congzhen Shi; Ryan Rezai; Jiaxi Yang; Qi Dou 001; Xiaoxiao Li (CoRR, 2024)

Qwen2.5-Coder Technical Report. - Binyuan Hui; Jian Yang 003; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Lei Zhang 201; Tianyu Liu 001; Jiajun Zhang; Bowen Yu 002; Kai Dang; An Yang; Rui Men; et al. (CoRR, 2024)

Evaluating and Aligning CodeLLMs on Human Preference. - Jian Yang 003; Jiaxi Yang; Ke Jin; Yibo Miao; Lei Zhang 201; Liqun Yang; Zeyu Cui; Yichang Zhang; Binyuan Hui; Junyang Lin (CoRR, 2024)

ExecRepoBench: Multi-level Executable Code Completion Evaluation. - Jian Yang 003; Jiajun Zhang; Jiaxi Yang; Ke Jin; Lei Zhang 201; Qiyao Peng 006; Ken Deng; Yibo Miao; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Effects of single and multiple imputation strategies on addressing over-fitting issues caused by imbalanced data from various scenarios. - Jiaxi Yang; Yihan Wang; Ye Yang; Kai Ding; Chongning Na; Yao Yang (Appl. Intell., 2024)

TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease. - Xiaochen Li; Kui Chen; Jiaxi Yang; Cheng Wang; Tao Yang; Changyong Luo; Nan Li; Zhi Liu (Comput. Biol. Medicine, 2024)

TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. - Zhi Liu; Jiaxi Yang; Kui Chen; Tao Yang; Xiaochen Li; Bingjie Lu; Dianzheng Fu; Zeyu Zheng; Changyong Luo (IEEE Internet Things J., 2024)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework. - Yang Zhao 017; Jiaxi Yang; Wenbo Wang 004; Helin Yang; Dusit Niyato (IEEE Internet Things J., 2024)

Fine-Tuning Language Models with Collaborative and Semantic Experts. - Jiaxi Yang; Binyuan Hui; Min Yang; Jian Yang; Lei Zhang; Qiang Qu; Junyang Lin (AAAI, 2025)

Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing. - Letian Yu; Jiaxi Yang; Bo Dong; Qirui Bao; Yuanbo Wang; Felix Heide; Xiaopeng Wei; Xin Yang (AAAI, 2025)

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. - Lei Zhang 201; Yunshui Li; Jiaming Li 004; Xiaobo Xia; Jiaxi Yang; Run Luo; Minzheng Wang 001; Longze Chen; Junhao Liu 001; Qiang Qu; Min Yang 007 (AAAI, 2025)

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. - Qiyue Gao; Xinyu Pi; Kevin Liu; Junrong Chen; Ruolan Yang; Xinqi Huang; Xinyu Fang; Lu Sun; Gautham Kishore; Bo Ai 008; Stone Tao; Mengyang Liu; et al. (ACL (Findings), 2025)

GMValuator: Similarity-based Data Valuation for Generative Models. - Jiaxi Yang; Wenlong Deng; Benlin Liu; Yangsibo Huang; James Zou; Xiaoxiao Li (ICLR, 2025)

Unlearning for Federated Online Learning to Rank: A Reproducibility Study. - Yiling Tao; Shuyi Wang 001; Jiaxi Yang; Guido Zuccon (SIGIR, 2025)

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Shanghaoran Quan; Jiaxi Yang; Bowen Yu 002; Bo Zheng 007; Dayiheng Liu; An Yang; Xuancheng Ren; Bofei Gao; Yibo Miao; Yunlong Feng; Zekun Wang; Jian Yang 003; et al. (CoRR, 2025)

RWKV-UI: UI Understanding with Enhanced Perception and Reasoning. - Jiaxi Yang; Haowen Hou (CoRR, 2025)

Controllable Emotion Generation with Emotion Vectors. - Yurui Dong; Luozhijie Jin; Yao Yang; Bingjie Lu; Jiaxi Yang; Zhi Liu (CoRR, 2025)

Multi-Agent Collaboration for Multilingual Code Instruction Tuning. - Jian Yang 003; Wei Zhang 021; Jiaxi Yang; Yibo Miao; Shanghaoran Quan; Zhenhe Wu; Qiyao Peng 006; Liqun Yang; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2025)

START: Self-taught Reasoner with Tools. - Chengpeng Li 001; Mingfeng Xue; Zhenru Zhang; Jiaxi Yang; Beichen Zhang; Xiang Wang 010; Bowen Yu 002; Binyuan Hui; Junyang Lin; Dayiheng Liu (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

Parallel Scaling Law for Language Models. - Mouxiang Chen; Binyuan Hui; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Jianling Sun; Junyang Lin; Zhongxin Liu 002 (CoRR, 2025)

Tianyi: A Traditional Chinese Medicine all-rounder language model and its Real-World Clinical Practice. - Zhi Liu; Tao Yang; Jing Wang; Yexin Chen; Zhan Gao; Jiaxi Yang; Kui Chen; Bingji Lu; Xiaochen Li; Changyong Luo; Yan Li; Xiaohong Gu; et al. (CoRR, 2025)

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. - Jiaxi Yang; Mengqi Zhang; Yiqiao Jin; Hao Chen 102; Qingsong Wen; Lu Lin; Yi He; Weijie Xu; James Evans; Jindong Wang 001 (CoRR, 2025)

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner. - Lei Zhang 201; Jiaxi Yang; Min Yang 007; Jian Yang 003; Mouxiang Chen; Jiajun Zhang; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2025)

Turning the Tide: Repository-based Code Reflection. - Wei Zhang; Jian Yang; Jiaxi Yang; Ya Wang; Zhoujun Li 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2025)

Tianyi: A traditional Chinese medicine all-rounder language model and its real-world clinical practice. - Zhi Liu; Tao Yang 006; Jing Wang; Yexing Chen; Zhan Gao; Jiaxi Yang; Kui Chen; Bingji Lu; Xiaochen Li; Changyong Luo; Yan Li; Xiaohong Gu; et al. (Inf. Fusion, 2026)