Hang Yu - RankMe

84 papers A* 10B 4C 5Misc 9Journal 40Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World. CoRR Ziyin Zhang, Zihan Liao, Hang Yu, Peng Di, Rui Wang
2026	J	`jnl`	From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion. CoRR Cheng Chen, Yuyu Guo, Pengpeng Zeng, Jingkuan Song, Peng Di, Hang Yu, Lianli Gao
2026	A*	`conf`	LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. AAAI Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang
2026	J	`jnl`	LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs. CoRR Ying Zhang, Hang Yu, Haipeng Zhang, Peng Di
2026	J	`jnl`	OpAgent: Operator Agent for Web Navigation. CoRR Yuyu Guo, Wenjie Yang, Siyuan Yang, Ziyang Liu, Cheng Chen, Yuan Wei, Yun Hu, Yang Huang, Guoliang Hao, Dongsheng Yuan, Jianming Wang, Xin Chen, Hang Yu, Lei Lei, Peng Di
2026	J	`jnl`	QuitoBench: A High-Quality Open Time Series Forecasting Benchmark. CoRR Siqiao Xue, Zhaoyang Zhu, Wei Zhang, Rongyao Cai, Rui Wang, Yixiang Mu, Fan Zhou, Jianguo Li, Peng Di, Hang Yu
2026	J	`jnl`	SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR Training. CoRR Xin-Cheng Wen, Binbin Chen, Haoxuan Lan, Hang Yu, Peng Di, Cuiyun Gao
2025	J	`jnl`	ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression. CoRR Yufeng Zhang, Wenrui Dai, Hang Yu, Shizhan Liu, Junhui Hou, Jianguo Li, Weiyao Lin
2025	J	`jnl`	C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling. CoRR Jin Qin, Zihan Liao, Ziyin Zhang, Hang Yu, Peng Di, Rui Wang
2025	J	`jnl`	Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks. CoRR Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di
2025	J	`jnl`	CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects. CoRR Hanyang Guo, Xunjin Zheng, Zihan Liao, Hang Yu, Peng Di, Ziyin Zhang, Hong-Ning Dai
2025	J	`jnl`	Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. CoRR Codefuse, Wenting Cai, Yuchen Cao, Chaoyu Chen, Chen Chen, Siba Chen, Qing Cui, Peng Di, Junpeng Fang, Zi Gong, Ting Guo, Zhengyu He, Yang Huang, Cong Li, Jianguo Li, Zheng Li, Shijie Lian, Bingchang Liu, Songshan Luo, Shuo Mao, Min Shen, Jian Wu, Jiaolong Yang, Wenjie Yang, Tong Ye, Hang Yu, Wei Zhang, Zhenduo Zhang, Hailin Zhao, Xunjin Zheng, Jun Zhou
2025	J	`jnl`	F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data. CoRR Ziyin Zhang, Zihan Liao, Hang Yu, Peng Di, Rui Wang
2025	—	`conf`	GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding. ACL (1) Ziyin Zhang, Hang Yu, Sage Lee, Peng Di, Jianguo Li, Rui Wang
2025	J	`jnl`	LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. CoRR Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang
2025	J	`jnl`	OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies. CoRR Peng Di, Faqiang Chen, Xiao Bai, Hongjun Yang, Qingfeng Li, Ganglin Wei, Jian Mou, Feng Shi, Keting Chen, Peng Tang, Zhitao Shen, Zheng Li, Wenhui Shi, Junwei Guo, Hang Yu
2025	A*	`conf`	Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. ICLR Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin
2024	A*	`conf`	AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification. ICLR Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Yun Hu, Xinzhe Wang
2024	—	`conf`	BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression. ECCV (25) Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin
2024	A*	`conf`	CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. EMNLP Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li
2024	J	`jnl`	CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. CoRR Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li
2024	—	`conf`	CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. ICSE-SEIP Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
2024	—	`conf`	D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. ACL (1) Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
2024	J	`jnl`	D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. CoRR Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
2024	A*	`conf`	DUPLEX: Dual GAT for Complex Embedding of Directed Graphs. ICML Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang
2024	J	`jnl`	DUPLEX: Dual GAT for Complex Embedding of Directed Graphs. CoRR Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang
2024	A*	`conf`	Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression. ICLR Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin
2024	J	`jnl`	GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding. CoRR Ziyin Zhang, Hang Yu, Shijie Li, Peng Di, Jianguo Li, Rui Wang
2024	A*	`conf`	MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. KDD Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li
2024	J	`jnl`	Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. CoRR Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin
2024	J	`jnl`	SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy. CoRR Tingkai Zhang, Chaoyu Chen, Cong Liao, Jun Wang, Xudong Zhao, Hang Yu, Jianchao Wang, Jianguo Li, Wenhui Shi
2024	J	`jnl`	Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code. Trans. Mach. Learn. Res. Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang
2023	J	`jnl`	A Survey on Language Models for Code. CoRR Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang
2023	J	`jnl`	BALANCE: Bayesian Linear Attribution for Root Cause Localization. CoRR Chaoyu Chen, Hang Yu, Zhichao Lei, Jianguo Li, Shaokang Ren, Tingkai Zhang, Silin Hu, Jianchao Wang, Wenhui Shi
2023	J	`jnl`	BALANCE: Bayesian Linear Attribution for Root Cause Localization. Proc. ACM Manag. Data Chaoyu Chen, Hang Yu, Zhichao Lei, Jianguo Li, Shaokang Ren, Tingkai Zhang, Silin Hu, Jianchao Wang, Wenhui Shi
2023	A*	`conf`	BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis. NeurIPS Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin
2023	J	`jnl`	BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis. CoRR Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin
2023	J	`jnl`	CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. CoRR Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
2023	J	`jnl`	Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes. IEEE Trans. Pattern Anal. Mach. Intell. Hang Yu, Songwei Wu, Justin Dauwels
2023	J	`jnl`	MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. CoRR Bingchang Liu, Chaoyu Chen, Cong Liao, Zi Gong, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Hang Yu, Jianguo Li
2023	A*	`conf`	Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. ASE Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng
2023	J	`jnl`	Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. CoRR Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng
2023	—	`conf`	ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification. ACL (Findings) Kaihao Guo, Hang Yu, Cong Liao, Jianguo Li, Haipeng Zhang
2022	A*	`conf`	Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting. ICLR Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar
2021	J	`jnl`	Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields. IEEE Trans. Intell. Transp. Syst. Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels
2020	J	`jnl`	Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models. CoRR Hang Yu, Justin Dauwels
2020	J	`jnl`	Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination. J. Mach. Learn. Res. Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels
2020	Misc	`conf`	Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. ICASSP Songwei Wu, Hang Yu, Justin Dauwels
2019	J	`jnl`	Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields. CoRR Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels
2019	Misc	`conf`	Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. ICASSP Songwei Wu, Hang Yu, Justin Dauwels
2019	—	`conf`	Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. VTC Fall Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels
2019	—	`conf`	Variational Bayesian Point Set Registration. VTC Fall Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels
2019	J	`jnl`	Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models. IEEE Trans. Signal Process. Hang Yu, Luyin Xin, Justin Dauwels
2017	J	`jnl`	A Two-Step Prediction ADC Architecture for Integrated Low Power Image Sensors. IEEE Trans. Circuits Syst. I Regul. Pap. Hang Yu, Wei Tang, Menghan Guo, Shoushun Chen
2017	—	`conf`	Linear-complexity stochastic variational Bayes inference for SLAM. ITSC Xiaoyue Jiang, Michael Hoy, Hang Yu, Justin Dauwels
2017	J	`jnl`	Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas. IEEE Trans. Signal Process. Hang Yu, Wayne Isaac T. Uy, Justin Dauwels
2016	J	`jnl`	A Global-Shutter Centroiding Measurement CMOS Image Sensor With Star Region SNR Improvement for Star Trackers. IEEE Trans. Circuits Syst. Video Technol. Xinyuan Qian, Hang Yu, Shoushun Chen
2016	J	`jnl`	An Antivibration Time-Delay Integration CMOS Image Sensor With Online Deblurring Algorithm. IEEE Trans. Circuits Syst. Video Technol. Hang Yu, Xinyuan Qian, Menghan Guo, Shoushun Chen
2016	B	`conf`	Latent tree ensemble of pairwise copulas for spatial extremes analysis. ISIT Hang Yu, Junwei Huang, Justin Dauwels
2016	J	`jnl`	Modeling Spatio-Temporal Extreme Events Using Graphical Models. IEEE Trans. Signal Process. Hang Yu, Justin Dauwels
2016	—	`conf`	Outlier-insensitive Kalman smoothing and marginal message passing. EUSIPCO Federico Wadehn, Lukas Bruderer, Justin Dauwels, Vijay Sahdeva, Hang Yu, Hans-Andrea Loeliger
2016	B	`conf`	Variational Bayesian dynamic compressive sensing. ISIT Hongwei Wang, Hang Yu, Michael Hoy, Justin Dauwels, Heping Wang
2016	—	`conf`	Variational bayes learning of time-varying graphical models. MLSP Hang Yu, Justin Dauwels
2015	—	`conf`	A time delay integration CMOS image sensor with online deblurring algorithm. VLSI-DAT Hang Yu, Xinyuan Qian, Menghan Guo, Shoushun Chen, Kay Soon Low
2015	C	`conf`	An 8-stage time delay integration CMOS image sensor with on-chip polarization pixels. ISCAS Hang Yu, Vigil Varghese, Xinyuan Qian, Menghan Guo, Shoushun Chen, Kay Soon Low
2015	—	`conf`	Variational Bayes learning of graphical models with hidden variables. MLSP Hang Yu, Justin Dauwels
2015	Misc	`conf`	Variational Bayes learning of multiscale graphical models. ICASSP Hang Yu, Justin Dauwels
2015	C	`conf`	Variational inference for graphical models of multivariate piecewise-stationary time series. FUSION Hang Yu, Justin Dauwels
2014	—	`conf`	A dual-exposure in-pixel charge subtraction CTIA CMOS image sensor for centroid measurement in star trackers. APCCAS Xinyuan Qian, Menghan Guo, Hang Yu, Shoushun Chen, Kay Soon Low
2014	—	`conf`	Design and characterization of radiation-tolerant CMOS 4T Active Pixel Sensors. ISIC Xinyuan Qian, Hang Yu, Shoushun Chen, Kay Soon Low
2014	J	`jnl`	Extreme-Value Graphical Models With Multiple Covariates. IEEE Trans. Signal Process. Hang Yu, Justin Dauwels, Philip Jonathan
2014	Misc	`conf`	Extreme-value graphical models with multiple covariates. ICASSP Hang Yu, Jingjing Cheng, Justin Dauwels
2014	Misc	`conf`	Modeling spatial extremes via ensemble-of-trees of pairwise copulas. ICASSP Hang Yu, Wayne Isaac T. Uy, Justin Dauwels
2014	Misc	`conf`	Network inference and change point detection for piecewise-stationary time series. ICASSP Hang Yu, Chenyang Li, Justin Dauwels
2014	Misc	`conf`	Sensor fault detection by sparsity optimization. ICASSP Bingxuan Li, Hang Yu, Justin Dauwels, Kay Soon Low
2014	B	`conf`	Spatio-temporal graphical models for extreme events. ISIT Hang Yu, Liaofan Zhang, Justin Dauwels
2013	—	`conf`	A bio-inspired feedforward system for categorization of AER motion events. BioCAS Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang
2013	Misc	`conf`	Copula Gaussian graphical model for discrete data. ICASSP Justin Dauwels, Hang Yu, Shiyan Xu, Xueou Wang
2012	C	`conf`	A Time-Delay-Integration CMOS image sensor with pipelined charge transfer architecture. ISCAS Hang Yu, Xinyuan Qian, Shoushun Chen, Kay Soon Low
2012	Misc	`conf`	Copula Gaussian graphical models with hidden variables. ICASSP Hang Yu, Justin Dauwels, Xueou Wang
2012	C	`conf`	Copula Gaussian multiscale graphical models with application to geophysical modeling. FUSION Hang Yu, Justin Dauwels, Xu Zhang, Shiyan Xu, Wayne Isaac T. Uy
2012	C	`conf`	Modeling extreme events in spatial domain by copula graphical models. FUSION Hang Yu, Zheng Choo, Wayne Isaac T. Uy, Justin Dauwels, Philip Jonathan
2012	B	`conf`	Modeling spatially-dependent extreme events with Markov random field priors. ISIT Hang Yu, Zheng Choo, Justin Dauwels, Philip Jonathan, Qiao Zhou
2011	—	`conf`	Inferring Brain Networks through Graphical Models with Hidden Variables. MLINI Justin Dauwels, Hang Yu, Xueou Wang, François B. Vialatte, Charles-François Vincent Latchoumane, Jaeseung Jeong, Andrzej Cichocki