Hanqing Zeng - RankMe

57 papers A* 4A 5B 2Misc 4Journal 30Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	How to Make LMs Strong Node Classifiers? EACL (Findings) Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2026	J	`jnl`	ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026	J	`jnl`	TARo: Token-level Adaptive Routing for LLM Test-time Alignment. CoRR Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang
2026	J	`jnl`	Text Has Curvature. CoRR Karish Grover, Hanqing Zeng, Yinglong Xia, Christos Faloutsos, Geoffrey J. Gordon
2026	J	`jnl`	Token-Level LLM Collaboration via FusionRoute. CoRR Nuoya Xiong, Yuhang Zhou, Hanqing Zeng, Zhaorun Chen, Furong Huang, Shuchao Bi, Lizhu Zhang, Zhuokai Zhao
2026	J	`jnl`	Verifiable Reasoning for LLM-based Generative Recommendation. CoRR Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang
2025	J	`jnl`	Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation. CoRR Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li
2025	J	`jnl`	S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning. CoRR Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Gilbert Jiang, Qiang Zhang, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Benyu Zhang
2025	B	`conf`	Staleness-Based Subgraph Sampling for Training GNNs on Large-Scale Graphs. IEEE Big Data Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, Shuiwang Ji
2025	—	`conf`	Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. CogMI Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu
2025	J	`jnl`	Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study. CoRR Gangda Deng, Yuxin Yang, Ömer Faruk Akgül, Hanqing Zeng, Yinglong Xia, Rajgopal Kannan, Viktor K. Prasanna
2024	—	`conf`	LLM-Rec: Personalized Recommendation via Prompting Large Language Models. NAACL-HLT (Findings) Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo
2024	J	`jnl`	Language Models are Graph Learners. CoRR Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2024	A*	`conf`	Mixture of Weak and Strong Experts on Graphs. ICLR Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
2024	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. Trans. Mach. Learn. Res. Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2024	J	`jnl`	Retrieval Augmentation via User Interest Clustering. CoRR Hanjia Lyu, Hanqing Zeng, Yinglong Xia, Ren Chen, Jiebo Luo
2024	A	`conf`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2023	—	`conf`	An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
2023	A*	`conf`	Generative Graph Dictionary Learning. ICML Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
2023	J	`jnl`	GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference. IEEE Trans. Parallel Distributed Syst. Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2023	J	`jnl`	GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference. CoRR Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2023	J	`jnl`	LLM-Rec: Personalized Recommendation via Prompting Large Language Models. CoRR Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo
2023	J	`jnl`	Mixture of Weak & Strong Experts on Graphs. CoRR Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
2023	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. CoRR Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2022	A	`conf`	DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform. FPGA Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2022	J	`jnl`	Decoupling the Depth and Scope of Graph Neural Networks. CoRR Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2022	Misc	`conf`	Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. HIPC Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna
2022	Misc	`conf`	Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. HIPC Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2022	J	`jnl`	Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. CoRR Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2021	J	`jnl`	Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021	A*	`conf`	Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2020	Misc	`conf`	Accelerating Large Scale GCN Inference on FPGA. FCCM Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2020	J	`jnl`	Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	A	`conf`	GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. FPGA Hanqing Zeng, Viktor K. Prasanna
2020	J	`jnl`	GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. CoRR Hanqing Zeng, Viktor K. Prasanna
2020	A*	`conf`	GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	—	`conf`	Hardware Acceleration of Large Scale GCN Inference. ASAP Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
2020	J	`jnl`	VTR 8: High-performance CAD and Customizable FPGA Architecture Modelling. ACM Trans. Reconfigurable Technol. Syst. Kevin E. Murray, Oleg Petelin, Sheng Zhong, Jia Min Wang, Mohamed Eldafrawy, Jean-Philippe Legault, Eugene Sha, Aaron Graham, Jean Wu, Matthew J. P. Walker, Hanqing Zeng, Panagiotis Patros, Jason Luu, Kenneth B. Kent, Vaughn Betz
2019	B	`conf`	A Flexible Design Automation Tool for Accelerating Quantized Spectral CNNs. FPL Rachit Rajat, Hanqing Zeng, Viktor K. Prasanna
2019	A	`conf`	Accurate, Efficient and Scalable Graph Embedding. IPDPS Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	J	`jnl`	GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	Misc	`conf`	SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. HiPC Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
2019	J	`jnl`	SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. CoRR Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
2018	—	`conf`	A Fast and Efficient Parallel Algorithm for Pruned Landmark Labeling. HPEC Qing Dong, Kartik Lakhotia, Hanqing Zeng, Rajgopal Karman, Viktor K. Prasanna, Guna Seetharaman
2018	A	`conf`	A Framework for Generating High Throughput CNN Implementations on FPGAs. FPGA Hanqing Zeng, Ren Chen, Chi Zhang, Viktor K. Prasanna
2018	J	`jnl`	Accurate, Efficient and Scalable Graph Embedding. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018	—	`conf`	An FPGA framework for edge-centric graph processing. CF Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna
2018	—	`conf`	Throughput-Optimized Frequency Domain CNN with Fixed-Point Quantization on FPGA. ReConFig Weiyi Sun, Hanqing Zeng, Yi-Hua Edward Yang, Viktor K. Prasanna
2017	—	`conf`	Design and implementation of parallel PageRank on multicore platforms. HPEC Shijie Zhou, Kartik Lakhotia, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, James Fox, Euna Kim, Oded Green, David A. Bader
2017	—	`conf`	Fast generation of high throughput customized deep learning accelerators on FPGAs. ReConFig Hanqing Zeng, Chi Zhang, Viktor K. Prasanna
2017	—	`conf`	Quickly finding a truss in a haystack. HPEC Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, David A. Bader
2002	J	`jnl`	Multiobjective control of a four-link flexible manipulator: a robust H IEEE Trans. Control. Syst. Technol. Zidong Wang, Hanqing Zeng, Daniel W. C. Ho, Heinz Unbehauen
1999	—	`—`	Modeling, identification, and control of a multi-link lightweight manipulator. Hanqing Zeng