Xulong Tang - RankMe

107 papers A* 35A 6B 10C 2Misc 1Journal 36Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Personalized Dance Synthesis Based on Physical and Cognitive Intensities. VR Xulong Tang, Eun Yeo, Ruiyu Mao, Xiaohu Guo, Rawan Alghofaili
2026	J	`jnl`	TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba. CoRR Ziyue Yang, Kaixing Yang, Xulong Tang
2025	—	`conf`	A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. ASP-DAC Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou
2025	A	`conf`	CIExplorer: Microarchitecture-Aware Exploration for Tightly Integrated Custom Instruction. ICS Xiaoyu Hao, Sen Zhang, Liang Qiao, Qingcai Jiang, Jun Shi, Junshi Chen, Hong An, Xulong Tang, Hao Shu, Honghui Yuan
2025	—	`conf`	Cascade: A Dependency-aware Efficient Training Framework for Temporal Graph Neural Network. ASPLOS (2) Yue Dai, Xulong Tang, Youtao Zhang
2025	A*	`conf`	CoheDancers: Enhancing Interactive Group Dance Generation through Music-Driven Coherence Decomposition. ACM Multimedia Kaixing Yang, Xulong Tang, Haoyu Wu, Biao Qin, Hongyan Liu, Jun He, Zhaoxin Fan
2025	—	`conf`	FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference. MLSys Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, Yufei Ding
2025	J	`jnl`	FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation. CoRR Kaixing Yang, Xulong Tang, Ziqiao Peng, Xiangyue Zhang, Puwei Wang, Jun He, Hongyan Liu
2025	J	`jnl`	MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation. CoRR Kaixing Yang, Xulong Tang, Ziqiao Peng, Yuxuan Hu, Jun He, Hongyan Liu
2025	J	`jnl`	MatchDance: Collaborative Mamba-Transformer Architecture Matching for High-Quality 3D Dance Synthesis. CoRR Kaixing Yang, Xulong Tang, Yuxuan Hu, Jiahao Yang, Hongyan Liu, Qinnan Zhang, Jun He, Zhaoxin Fan
2025	A*	`conf`	MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge. ICML Yue Dai, Liang Liu, Xulong Tang, Youtao Zhang, Jun Yang
2025	A*	`conf`	Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. ICLR Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan
2025	A*	`conf`	OASIS: Object-Aware Page Management for Multi-GPU Systems. HPCA Yueqi Wang, Bingyao Li, Mohamed Tarek Ibn Ziad, Lieven Eeckhout, Jun Yang, Aamer Jaleel, Xulong Tang
2025	—	`conf`	Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning. ASPLOS (2) Liang Qiao, Jun Shi, Xiaoyu Hao, Xi Fang, Sen Zhang, Minfan Zhao, Ziqi Zhu, Junshi Chen, Hong An, Xulong Tang, Bing Li, Honghui Yuan, Xinyang Wang
2025	A*	`conf`	Reinforcement Learning-Guided Graph State Generation in Photonic Quantum Computers. ISCA Yingheng Li, Yue Dai, Aditya Pawar, Rongchao Dong, Jun Yang, Youtao Zhang, Xulong Tang
2025	J	`jnl`	Rethinking the Potential of Layer Freezing for Efficient DNN Training. CoRR Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan
2025	J	`jnl`	SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation. CoRR Ruiyu Mao, Sarthak Kumar Maharana, Xulong Tang, Yunhui Guo
2025	A	`conf`	STMC: Small-Tile Multiple-Copy Compilation for Reliable Measurement-Based Quantum Computing. ICCAD Rongchao Dong, Zewei Mo, Yingheng Li, Aditya Pawar, Jun Yang, Youtao Zhang, Xulong Tang
2025	J	`jnl`	Special Issue on Top Picks From the 2024 Computer Architecture Conferences. IEEE Micro Jun Yang, Xulong Tang
2025	—	`conf`	WAGES: Workload-Aware GPU Sharing System for Energy-Efficient Serverless LLM Serving. SC Workshops Tianyu Wang, Gourav Rattihalli, Aditya Dhakal, Xulong Tang, Dejan S. Milojicic
2024	B	`conf`	BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval. ICMR Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
2024	B	`conf`	CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit. ICMR Kaixing Yang, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
2024	J	`jnl`	CoheDancers: Enhancing Interactive Group Dance Generation through Music-Driven Coherence Decomposition. CoRR Kaixing Yang, Xulong Tang, Haoyu Wu, Qinliang Xue, Biao Qin, Hongyan Liu, Zhaoxin Fan
2024	J	`jnl`	EdgeOL: Efficient in-situ Online Learning on Edge Devices. CoRR Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang
2024	A*	`conf`	FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing. DAC Zewei Mo, Yingheng Li, Aditya Pawar, Xulong Tang, Jun Yang, Youtao Zhang
2024	—	`conf`	FMCC: Flexible Measurement-based Quantum Computation over Cluster State. ASPLOS (4) Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang
2024	A*	`conf`	GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement. HPCA Yueqi Wang, Bingyao Li, Aamer Jaleel, Jun Yang, Xulong Tang
2024	J	`jnl`	Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. CoRR Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang
2024	J	`jnl`	Improving Multi-Instance GPU Efficiency via Sub-Entry Sharing TLB Design. CoRR Bingyao Li, Yueqi Wang, Tianyu Wang, Lieven Eeckhout, Jun Yang, Aamer Jaleel, Xulong Tang
2024	A*	`conf`	LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. DAC Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024	J	`jnl`	Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices. CoRR Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024	—	`conf`	QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting. ASPLOS (4) Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Xulong Tang, Youtao Zhang, Jun Yang
2024	A*	`conf`	STAR: Sub-Entry Sharing-Aware TLB for Multi-Instance GPU. MICRO Bingyao Li, Yueqi Wang, Tianyu Wang, Lieven Eeckhout, Jun Yang, Aamer Jaleel, Xulong Tang
2024	J	`jnl`	SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. CoRR Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang
2024	J	`jnl`	The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits. CoRR Yuqing Li, Jinglei Cheng, Xulong Tang, Youtao Zhang, Frederic T. Chong, Junyu Liu
2024	A*	`conf`	Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. ICLR Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan
2023	A*	`conf`	AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM. HPCA Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang
2023	J	`jnl`	BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval. CoRR Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
2023	A*	`conf`	CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. HPCA Yue Dai, Youtao Zhang, Xulong Tang
2023	A*	`conf`	EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory. DAC Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang
2023	C	`conf`	FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. ICCD Yue Dai, Xulong Tang, Youtao Zhang
2023	A*	`conf`	IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations. MICRO Bingyao Li, Yanan Guo, Yueqi Wang, Aamer Jaleel, Jun Yang, Xulong Tang
2023	J	`jnl`	Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation. CoRR Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Youtao Zhang, Xulong Tang, Jun Yang
2023	J	`jnl`	Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing. CoRR Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang
2023	A*	`conf`	Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs. DAC Bingyao Li, Yueqi Wang, Xulong Tang
2023	A*	`conf`	Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors. DAC Yingheng Li, Aditya Pawar, Mohadeseh Azari, Yanan Guo, Youtao Zhang, Jun Yang, Kaushik Parasuram Seshadreesan, Xulong Tang
2023	A*	`conf`	SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. ICLR Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang
2023	A*	`conf`	SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. MICRO Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen
2023	J	`jnl`	SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. CoRR Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen
2023	J	`jnl`	Sustainable AI Processing at the Edge. IEEE Micro Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
2023	A*	`conf`	Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding. HPCA Bingyao Li, Jieming Yin, Anup Holey, Youtao Zhang, Jun Yang, Xulong Tang
2022	J	`jnl`	An efficient segmented quantization for graph neural networks. CCF Trans. High Perform. Comput. Yue Dai, Xulong Tang, Youtao Zhang
2022	J	`jnl`	Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2022	J	`jnl`	Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System. CoRR Zhendong Wang, Xiaoming Zeng, Xulong Tang, Danfeng Zhang, Xing Hu, Yang Hu
2022	C	`conf`	Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing. ICCD Yajuan Du, Mingyang Liu, Yuqi Yang, Mingzhe Zhang, Xulong Tang
2022	A	`conf`	Fine-Granular Computation and Data Layout Reorganization for Improving Locality. ICCAD Mahmut T. Kandemir, Xulong Tang, Jagadish Kotra, Mustafa Karaköy
2022	A*	`conf`	Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. NeurIPS Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
2022	J	`jnl`	Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. CoRR Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
2022	J	`jnl`	Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2022	—	`conf`	Optimizing Data Layout for Training Deep Neural Networks. WWW (Companion Volume) Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang
2022	A*	`conf`	Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs. HPCA Yilun Zhao, Yanan Guo, Yuan Yao, Amanda Dumi, Devin M. Mulvey, Shiv Upadhyay, Youtao Zhang, Kenneth D. Jordan, Jun Yang, Xulong Tang
2022	J	`jnl`	Sustainable AI Processing at the Edge. CoRR Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
2022	—	`conf`	You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang
2021	A*	`conf`	A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. AAAI Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2021	J	`jnl`	A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. CoRR Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen
2021	J	`jnl`	Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. ACM Trans. Embed. Comput. Syst. Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu
2021	A	`conf`	Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
2021	J	`jnl`	Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. CoRR Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
2021	J	`jnl`	Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2021	—	`conf`	Characterizing AI Model Inference Applications Running in the SGX Environment. NAS Shixiong Jing, Qinkun Bao, Pei Wang, Xulong Tang, Dinghao Wu
2021	B	`conf`	Compiler support for near data computing. PPoPP Mahmut Taylan Kandemir, Jihyun Ryoo, Xulong Tang, Mustafa Karaköy
2021	A*	`conf`	Distance-in-time versus distance-in-space. PLDI Mahmut Taylan Kandemir, Xulong Tang, Hui Zhao, Jihyun Ryoo, Mustafa Karaköy
2021	A*	`conf`	Fluid: a framework for approximate concurrency via controlled dependency relaxation. PLDI Huaipan Jiang, Haibo Zhang, Xulong Tang, Vineetha Govindaraj, Jack Sampson, Mahmut Taylan Kandemir, Danfeng Zhang
2021	A*	`conf`	Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design. MICRO Bingyao Li, Jieming Yin, Youtao Zhang, Xulong Tang
2021	—	`conf`	Mix and Match: Reorganizing Tasks for Enhancing Data Locality. SIGMETRICS (Abstracts) Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy
2021	J	`jnl`	Mix and Match: Reorganizing Tasks for Enhancing Data Locality. Proc. ACM Meas. Anal. Comput. Syst. Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy
2021	—	`conf`	Parallelizing DNN Training on GPUs: Challenges and Opportunities. WWW (Companion Volume) Weizheng Xu, Youtao Zhang, Xulong Tang
2021	A	`conf`	ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. ICCAD Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang
2021	—	`conf`	Towards a Secure Integrated Heterogeneous Platform via Cooperative CPU/GPU Encryption. ATS Zhendong Wang, Rujia Wang, Zihang Jiang, Xulong Tang, Shouyi Yin, Yang Hu
2021	A	`conf`	Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2021	A*	`conf`	YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. AAAI Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2020	J	`jnl`	Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhendong Wang, Zihang Jiang, Zhen Wang, Xulong Tang, Cong Liu, Shouyi Yin, Yang Hu
2020	B	`conf`	Enhancing Address Translations in Throughput Processors via Compression. PACT Xulong Tang, Ziyu Zhang, Weizheng Xu, Mahmut Taylan Kandemir, Rami G. Melhem, Jun Yang
2020	J	`jnl`	Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines. CoRR Shasha Guo, Lianhua Qu, Lei Wang, Xulong Tang, Shuo Tian, Shiming Li, Weixia Xu
2020	J	`jnl`	YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. CoRR Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2019	—	`conf`	Architecture-Aware Approximate Computing. SIGMETRICS (Abstracts) Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam
2019	J	`jnl`	Architecture-Aware Approximate Computing. Proc. ACM Meas. Anal. Comput. Syst. Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam
2019	Misc	`conf`	Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications. HiPC Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir
2019	A*	`conf`	Co-optimizing memory-level parallelism and cache-level parallelism. PLDI Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy, Meenakshi Arunachalam
2019	—	`conf`	Computing with Near Data. SIGMETRICS (Abstracts) Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy
2019	A*	`conf`	Opportunistic computing in GPU architectures. ISCA Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das
2019	—	`conf`	Quantifying Data Locality in Dynamic Parallelism in GPUs. SIGMETRICS (Abstracts) Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das
2018	J	`jnl`	Computing with Near Data. Proc. ACM Meas. Anal. Comput. Syst. Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy
2018	A*	`conf`	Enhancing computation-to-core assignment with physical location information. PLDI Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung
2018	—	`conf`	Oversubscribed Command Queues in GPUs. GPGPU@PPoPP Sooraj Puthoor, Xulong Tang, Joseph Gross, Bradford M. Beckmann
2018	J	`jnl`	Quantifying Data Locality in Dynamic Parallelism in GPUs. Proc. ACM Meas. Anal. Comput. Syst. Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das
2018	B	`conf`	Quantifying and Optimizing Data Access Parallelism on Manycores. MASCOTS Jihyun Ryoo, Orhan Kislal, Xulong Tang, Mahmut T. Kandemir
2017	A*	`conf`	Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut T. Kandemir, Chita R. Das
2017	B	`conf`	DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories. MASCOTS Akbar Sharifi, Wei Ding, Diana R. Guttman, Hui Zhao, Xulong Tang, Mahmut T. Kandemir, Chita R. Das
2017	A*	`conf`	Data movement aware computation partitioning. MICRO Xulong Tang, Orhan Kislal, Mahmut T. Kandemir, Mustafa Karaköy
2017	B	`conf`	POSTER: Location-Aware Computation Mapping for Manycore Processors. PACT Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung
2016	A*	`conf`	Improving bank-level parallelism for irregular applications. MICRO Xulong Tang, Mahmut T. Kandemir, Praveen Yedlapalli, Jagadish Kotra
2016	B	`conf`	Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. PACT Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das
2016	B	`conf`	μC-States: Fine-grained GPU Datapath Power Management. PACT Onur Kayiran, Adwait Jog, Ashutosh Pattnaik, Rachata Ausavarungnirun, Xulong Tang, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das
2015	A*	`conf`	Memory Row Reuse Distance and its Role in Optimizing Application Performance. SIGMETRICS Mahmut T. Kandemir, Hui Zhao, Xulong Tang, Mustafa Karaköy
2015	A*	`conf`	Optimizing off-chip accesses in multicores. PLDI Wei Ding, Xulong Tang, Mahmut T. Kandemir, Yuanrui Zhang, Emre Kultursay
2012	B	`conf`	FlexBFS: a parallelism-aware implementation of breadth-first search on GPU. PPoPP Gu Liu, Hong An, Wenting Han, Xiaoqiang Li, Tao Sun, Wei Zhou, Xuechao Wei, Xulong Tang