Guannan Zhang - RankMe

143 papers A* 18A 14B 3C 1Journal 95Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems. CoRR Jingqiao Tang, Ryan Bausback, Feng Bao, Guannan Zhang, Phuoc-Toan Huynh
2026	J	`jnl`	A score-based diffusion model approach for adaptive learning of stochastic partial differential equation solutions. J. Comput. Phys. Phuoc-Toan Huynh, Ruth Lopez Fajardo, Guannan Zhang, Lili Ju, Feng Bao
2026	J	`jnl`	An efficient probabilistic scheme for the exit time probability of α-stable Lévy process. CoRR Minglei Yang, Diego del-Castillo-Negrete, Guannan Zhang
2026	J	`jnl`	Error estimates of a training-free diffusion model for high-dimensional sampling. CoRR Pengjun Wang, Zezhong Zhang, Minglei Yang, Feng Bao, Yanzhao Cao, Guannan Zhang
2026	J	`jnl`	Generative AI models for learning flow maps of stochastic dynamical systems in bounded domains. J. Comput. Phys. Minglei Yang, Yanfang Liu, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2026	J	`jnl`	JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks. CoRR Lanbo Lin, Jiayao Liu, Tianyuan Yang, Li Cai, Yuanwu Xu, Lei Wei, Sicong Xie, Guannan Zhang
2026	J	`jnl`	MM-CondChain: A Programmatically Verified Benchmark for Visually Grounded Deep Compositional Reasoning. CoRR Haozhan Shen, Shilin Yan, Hongwei Xue, Shuaiqi Lu, Xiaojun Tang, Guannan Zhang, Tiancheng Zhao, Jianwei Yin
2026	J	`jnl`	NeuDiff Agent: A Governed AI Workflow for Single-Crystal Neutron Crystallography. CoRR Zhongcan Xiao, Leyi Zhang, Guannan Zhang, Xiaoping Wang
2026	J	`jnl`	SwimBird: Eliciting Switchable Reasoning Mode in Hybrid Autoregressive MLLMs. CoRR Jintao Tong, Shilin Yan, Hongwei Xue, Xiaojun Tang, Kunyu Shi, Guannan Zhang, Ruixuan Li, Yixiong Zou
2026	—	`conf`	U-Cker at VBS2026: A Web-Based Interactive Video Retrieval System with Multimodal Query Support. MMM (4) Kazuya Ueki, Ryo Mutou, Takuya Wada, Ryota Akaba, Guannan Zhang
2025	J	`jnl`	A Score-based Diffusion Model Approach for Adaptive Learning of Stochastic Partial Differential Equation Solutions. CoRR Toan Huynh, Ruth Lopez Fajardo, Guannan Zhang, Lili Ju, Feng Bao
2025	J	`jnl`	A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems. SIAM J. Sci. Comput. Yanfang Liu, Yuan Chen, Dongbin Xiu, Guannan Zhang
2025	J	`jnl`	Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing. Comput. Optim. Appl. Hoang Tran, Qiang Du, Guannan Zhang
2025	—	`conf`	DPS: A Congestion-Aware Allreduce Job Placement for In-Network Aggregation. NPC (1) Yanrong Hu, Guannan Zhang, Dezun Dong, Zihao Wei, Zhen Ruan
2025	J	`jnl`	Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions. CoRR Hoang Tran, Zezhong Zhang, Feng Bao, Dan Lu, Guannan Zhang
2025	A*	`conf`	Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. ICDE Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2025	J	`jnl`	Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations. CoRR Siming Liang, Hoang Tran, Feng Bao, Hristo G. Chipilski, Peter Jan van Leeuwen, Guannan Zhang
2025	J	`jnl`	Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification. CoRR Zezhong Zhang, Caroline Tatsuoka, Dongbin Xiu, Guannan Zhang
2025	J	`jnl`	GenAI4UQ: A software for forward and inverse uncertainty quantification using conditional generative AI. SoftwareX Ming Fan, Zezhong Zhang, Dan Lu, Guannan Zhang
2025	J	`jnl`	Generative AI Models for Learning Flow Maps of Stochastic Dynamical Systems in Bounded Domains. CoRR Minglei Yang, Yanfang Liu, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2025	J	`jnl`	Hybrid Reward Normalization for Process-supervised Non-verifiable Agentic Tasks. CoRR Peiran Xu, Zhuohao Li, Xiaoying Xing, Guannan Zhang, Debiao Li, Kunyu Shi
2025	J	`jnl`	IEnSF: Iterative Ensemble Score Filter for Reducing Error in Posterior Score Estimation in Nonlinear Data Assimilation. CoRR Zezhong Zhang, Feng Bao, Guannan Zhang
2025	J	`jnl`	Joint State-Parameter Estimation for the Reduced Fracture Model via the United Filter. CoRR Toan Huynh, Thi-Thao-Phuong Hoang, Guannan Zhang, Feng Bao
2025	J	`jnl`	Joint state-parameter estimation for the reduced fracture model via the united filter. J. Comput. Phys. Phuoc-Toan Huynh, Thi-Thao-Phuong Hoang, Guannan Zhang, Feng Bao
2025	J	`jnl`	Libra: High-precision congestion control for datacenter networks with in-network allreduce. Comput. Networks Guannan Zhang, Dezun Dong, Tao Li, Siyuan Yang
2025	J	`jnl`	Multi-fidelity Parameter Estimation Using Conditional Diffusion Models. CoRR Caroline Tatsuoka, Minglei Yang, Dongbin Xiu, Guannan Zhang
2025	J	`jnl`	Parallel-in-Time Solution of Allen-Cahn Equations by Integrating Operator Learning into the Parareal Method. CoRR Yuwei Geng, Junqi Yin, Eric C. Cyr, Guannan Zhang, Lili Ju
2025	—	`conf`	Research Hotspots and Trends of China's Agricultural Machinery Equipment Based on Literature Data Analysis. BDICN Fuyu Meng, Xiao Li, Xin Jin, Qingchang Yuan, Jinzhao Hu, Sha Li, Jing Nie, Guannan Zhang, Yuxuan Li, Xiaofei Shi
2025	—	`conf`	SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition. WWW (Companion Volume) Song Cheng, Qiannan Cheng, Linbo Jin, Lei Yi, Guannan Zhang
2025	J	`jnl`	SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition. CoRR Song Cheng, Qiannan Cheng, Linbo Jin, Lei Yi, Guannan Zhang
2025	J	`jnl`	Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search. CoRR Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan
2024	A	`conf`	A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. WSDM Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng
2024	J	`jnl`	A Pseudoreversible Normalizing Flow for Stochastic Dynamical Systems with Various Initial Distributions. SIAM J. Sci. Comput. Minglei Yang, Pengjun Wang, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2024	—	`conf`	A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. SC Workshops Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang
2024	J	`jnl`	A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. CoRR Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang
2024	—	`conf`	A Scalable Training-Free Diffusion Model for Uncertainty Quantification. SC Workshops Ali Haisam Muhammad Rafid, Junqi Yin, Yuwei Geng, Siming Liang, Feng Bao, Lili Ju, Guannan Zhang
2024	J	`jnl`	A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems. CoRR Yanfang Liu, Yuan Chen, Dongbin Xiu, Guannan Zhang
2024	J	`jnl`	A score-based filter for nonlinear data assimilation. J. Comput. Phys. Feng Bao, Zezhong Zhang, Guannan Zhang
2024	J	`jnl`	An End-to-End Deep Learning Method for Solving Nonlocal Allen-Cahn and Cahn-Hilliard Phase-Field Models. CoRR Yuwei Geng, Olena Burkovska, Lili Ju, Guannan Zhang, Max D. Gunzburger
2024	J	`jnl`	Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation. CoRR Minglei Yang, Pengjun Wang, Ming Fan, Dan Lu, Yanzhao Cao, Guannan Zhang
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan
2024	J	`jnl`	GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Models. CoRR Ming Fan, Zezhong Zhang, Dan Lu, Guannan Zhang
2024	A	`conf`	MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction. RecSys Zhiming Yang, Haining Gao, Dehong Gao, Luwei Yang, Libin Yang, Xiaoyan Cai, Wei Ning, Guannan Zhang
2024	J	`jnl`	MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction. CoRR Zhiming Yang, Haining Gao, Dehong Gao, Luwei Yang, Libin Yang, Xiaoyan Cai, Wei Ning, Guannan Zhang
2024	A*	`conf`	MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. AAAI Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
2024	J	`jnl`	MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. CoRR Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
2024	A*	`conf`	MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning. EMNLP Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, Zihan Wang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang
2024	J	`jnl`	MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning. CoRR Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, Zihan Wang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang
2024	A	`conf`	Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. CIKM Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang
2024	J	`jnl`	Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. CoRR Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang
2024	A	`conf`	Multi-Intent Attribute-Aware Text Matching in Searching. WSDM Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang
2024	J	`jnl`	Multi-Intent Attribute-Aware Text Matching in Searching. CoRR Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang
2024	J	`jnl`	Nonuniform random feature models using derivative information. CoRR Konstantin Pieper, Zezhong Zhang, Guannan Zhang
2024	J	`jnl`	Online Differentiable Clustering for Intent Learning in Recommendation. CoRR Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu
2024	A	`conf`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2024	B	`conf`	Power of Insensitivity: Fixing Threshold Truncation of Switch Buffer Management Policies. CCGrid Yuan Lu, Dinghuang Hu, Guannan Zhang, Jie Shen, Dezun Dong
2024	J	`jnl`	SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation. CoRR Kaiming Shen, Xichen Ding, Zixiang Zheng, Yuqi Gong, Qianqian Li, Zhongyi Liu, Guannan Zhang
2024	A*	`conf`	Towards Efficient Replay in Federated Incremental Learning. CVPR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	J	`jnl`	Towards Efficient Replay in Federated Incremental Learning. CoRR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	—	`conf`	Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. LREC/COLING Yue Wang, Zilong Zheng, Juntao Li, Zhihui Liu, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
2024	J	`jnl`	Transferable Neural Networks for Partial Differential Equations. J. Sci. Comput. Zezhong Zhang, Feng Bao, Lili Ju, Guannan Zhang
2024	A*	`conf`	Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search. WWW Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan
2023	J	`jnl`	A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. CoRR Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng
2023	J	`jnl`	A Probabilistic Scheme for Semilinear Nonlocal Diffusion Equations with Volume Constraints. SIAM J. Numer. Anal. Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Yanzhao Cao
2023	J	`jnl`	A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions. CoRR Minglei Yang, Pengjun Wang, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2023	J	`jnl`	An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems. CoRR Feng Bao, Zezhong Zhang, Guannan Zhang
2023	A	`conf`	An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. CIKM Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, Guannan Zhang
2023	J	`jnl`	An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. CoRR Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, Guannan Zhang
2023	J	`jnl`	AntM CoRR Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang
2023	A*	`conf`	Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. WWW Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li
2023	A*	`conf`	Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
2023	A*	`conf`	Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. SIGIR Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing. CoRR Hoang Tran, Qiang Du, Guannan Zhang
2023	—	`conf`	Data Flow Risk Monitoring for Novel Power System Based on Bidirectional Interactive Protocol Traffic. CAIBDA Jianqiao Sheng, Yuan Fang, Guannan Zhang, Xin Ding
2023	J	`jnl`	Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation. CoRR Yanfang Liu, Minglei Yang, Zezhong Zhang, Feng Bao, Yanzhao Cao, Guannan Zhang
2023	A	`conf`	Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
2023	A*	`conf`	Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	From Beginner to Expert: Modeling Medical Knowledge into General LLMs. CoRR Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang
2023	A*	`conf`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	J	`jnl`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	A*	`conf`	GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. IJCAI Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. CoRR Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
2023	A*	`conf`	GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. SIGIR Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models. CoRR Yue Wang, Xinrui Wang, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
2023	J	`jnl`	Improving the Expressive Power of Deep Neural Networks through Integral Activation Transform. CoRR Zezhong Zhang, Feng Bao, Guannan Zhang
2023	J	`jnl`	Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation. SIAM J. Sci. Comput. Yuankai Teng, Zhu Wang, Lili Ju, Anthony D. Gruber, Guannan Zhang
2023	J	`jnl`	Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2023	A	`conf`	Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. WSDM Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. CoRR Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023	A*	`conf`	Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. SIGIR Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. CoRR Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
2023	—	`conf`	Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW (Companion Volume) Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang
2023	J	`jnl`	MultiLoRA: Democratizing LoRA for Better Multi-Task Learning. CoRR Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang
2023	J	`jnl`	Multiple Instance Learning for Uplift Modeling. CoRR Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	On the Opportunities of Green Computing: A Survey. CoRR You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
2023	J	`jnl`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2023	J	`jnl`	PrivateLoRA For Efficient Privacy Preserving LLM. CoRR Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang
2023	B	`conf`	Rately: Accurate Data Center CC based on One-Way Delay. ICPADS Guannan Zhang, Dinghuang Hu, Dezun Dong
2023	J	`jnl`	Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. CoRR Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2023	—	`conf`	Towards Better Hierarchical Text Classification with Data Generation. ACL (Findings) Yue Wang, Dan Qiao, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
2023	J	`jnl`	TransNet: Transferable Neural Networks for Partial Differential Equations. CoRR Zezhong Zhang, Feng Bao, Lili Ju, Guannan Zhang
2023	J	`jnl`	ULMA: Unified Language Model Alignment with Demonstration and Point-wise Human Preference. CoRR Tianchi Cai, Xierui Song, Jiyan Jiang, Fei Teng, Jinjie Gu, Guannan Zhang
2023	A*	`conf`	Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. CoRR Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2022	J	`jnl`	A probabilistic scheme for semilinear nonlocal diffusion equations with volume constraints. CoRR Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Yanzhao Cao
2022	—	`conf`	Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. ECCV (5) Hoang Tran, Dan Lu, Guannan Zhang
2022	J	`jnl`	Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. CoRR Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau
2022	A	`conf`	Multiple Instance Learning for Uplift Modeling. CIKM Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang
2022	A*	`conf`	PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks. ICLR Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
2022	A	`conf`	See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. CIKM Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang
2022	B	`conf`	Toward an Autonomous Workflow for Single Crystal Neutron Diffraction. SMC Junqi Yin, Guannan Zhang, Huibo Cao, Sajal Dash, Bryan C. Chakoumakos, Feiyi Wang
2021	J	`jnl`	A Feynman-Kac based numerical method for the exit time probability of a class of transport problems. CoRR Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Miroslav Stoyanov
2021	J	`jnl`	A Feynman-Kac based numerical method for the exit time probability of a class of transport problems. J. Comput. Phys. Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Miroslav Stoyanov
2021	J	`jnl`	A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models. CoRR Jiaxin Zhang, Sirui Bi, Guannan Zhang
2021	A	`conf`	A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models. AISTATS Jiaxin Zhang, Sirui Bi, Guannan Zhang
2021	J	`jnl`	A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models. CoRR Jiaxin Zhang, Sirui Bi, Guannan Zhang
2021	—	`conf`	Electrohydrodynamically Printed Multicolor Perovskite Image Sensor Array. NEMS Qilu Wang, Guannan Zhang, Hanyuan Zhang, Yongqing Duan, Yongan Huang
2021	A	`conf`	Enabling long-range exploration in minimization of multimodal functions. UAI Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang
2021	J	`jnl`	Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation. CoRR Yuankai Teng, Zhu Wang, Lili Ju, Anthony D. Gruber, Guannan Zhang
2021	J	`jnl`	PI3NN: Prediction intervals from three independently trained neural networks. CoRR Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
2020	J	`jnl`	A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization. CoRR Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang
2020	J	`jnl`	Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy. CoRR Jiaxing Zhang, Hoang Tran, Guannan Zhang
2020	J	`jnl`	AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient. CoRR Hoang Tran, Guannan Zhang
2020	A*	`conf`	Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
2020	J	`jnl`	Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials. CoRR Sirui Bi, Jiaxin Zhang, Guannan Zhang
2020	A	`conf`	Two-Stage Audience Expansion for Financial Targeting in Marketing. CIKM Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang
2019	J	`jnl`	A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients. SIAM J. Sci. Comput. Lin Mu, Guannan Zhang
2019	J	`jnl`	An Improved Discrete Least-Squares/Reduced-Basis Method for Parameterized Elliptic PDEs. J. Sci. Comput. Max D. Gunzburger, Michael Schneier, Clayton G. Webster, Guannan Zhang
2019	A*	`conf`	Learning nonlinear level sets for dimensionality reduction in function approximation. NeurIPS Guannan Zhang, Jiaxin Zhang, Jacob D. Hinkle
2017	J	`jnl`	Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients. Numerische Mathematik Hoang Tran, Clayton G. Webster, Guannan Zhang
2016	J	`jnl`	Accelerating Stochastic Collocation Methods for Partial Differential Equations with Random Input Data. SIAM/ASA J. Uncertain. Quantification Diego Galindo, Peter Jantsch, Clayton G. Webster, Guannan Zhang
2016	J	`jnl`	Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients. Comput. Math. Appl. Nick C. Dexter, Clayton G. Webster, Guannan Zhang
2016	J	`jnl`	Hyperspherical Sparse Approximation Techniques for High-Dimensional Discontinuity Detection. SIAM Rev. Guannan Zhang, Clayton G. Webster, Max D. Gunzburger, John V. Burkardt
2016	J	`jnl`	Numerical methods for a class of nonlocal diffusion problems with the use of backward SDEs. Comput. Math. Appl. Guannan Zhang, Weidong Zhao, Clayton G. Webster, Max D. Gunzburger
2015	J	`jnl`	A Hyperspherical Adaptive Sparse-Grid Method for High-Dimensional Discontinuity Detection. SIAM J. Numer. Anal. Guannan Zhang, Clayton G. Webster, Max D. Gunzburger, John V. Burkardt
2014	J	`jnl`	A Hybrid Sparse-Grid Approach for Nonlinear Filtering Problems Based on Adaptive-Domain of the Zakai Equation Approximations. SIAM/ASA J. Uncertain. Quantification Feng Bao, Yanzhao Cao, Clayton G. Webster, Guannan Zhang
2014	J	`jnl`	An adaptive sparse-grid iterative ensemble Kalman filter approach for parameter field estimation. Int. J. Comput. Math. Clayton G. Webster, Guannan Zhang, Max D. Gunzburger
2014	J	`jnl`	Stochastic finite element methods for partial differential equations with random input data. Acta Numer. Max D. Gunzburger, Clayton G. Webster, Guannan Zhang
2012	J	`jnl`	Error Analysis of a Stochastic Collocation Method for Parabolic Partial Differential Equations with Random Input Data. SIAM J. Numer. Anal. Guannan Zhang, Max D. Gunzburger
2010	J	`jnl`	A Stable Multistep Scheme for Solving Backward Stochastic Differential Equations. SIAM J. Numer. Anal. Weidong Zhao, Guannan Zhang, Lili Ju
2008	C	`conf`	A New Approach to Web Services Characterization. APSCC Yan Liu, Mingguang Zhuang, Qingling Wang, Guannan Zhang
2008	A	`conf`	Services Characterization with Statistical Study on Existing Web Services. ICWS Yan Liu, Mingguang Zhuang, Biao Yu, Guannan Zhang, Xiaojing Meng