| 2026 | AAAI | MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation. | Yaoxiu Lian, Hao Liang, Zhihong Gou, Yijia Zhang, Jiaming Xu, Guohao Dai, Ningyi Xu |
| 2026 | AAAI | SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation. | Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai |
| 2026 | AAAI | From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks. | Changpeng Yang, Jinyang Wu, Yuchen Liu, Shuai Zhang, Yang Li, Qiliang Liang, Hongzhen Wang, Shuai Nie, Jiaming Xu, Runyu Shi, Ying Huang, Guoquan Zhang |
| 2026 | ACL | ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction. | Wenda Liu, Zhigang Song, Shuai Nie, Guangyao Liu, Lisung Chen, Binyu Yang, Yaran Chen, Peng Zhou, Hongzhen Wang, Yuchen Liu, Wenyue Hu, Jiaming Xu, Runyu Shi, Ying Huang |
| 2026 | ASPDAC | BalanceGS: Algorithm-System Co-design for Efficient 3D Gaussian Splatting Training on GPU. | Junyi Wu, Jiaming Xu, Jinhao Li, Yongkang Zhou, Jiayi Pan, Xingyang Li, Guohao Dai |
| 2026 | ASPDAC | SpAct-NDP: Efficient LLM Inference via Sparse Activation on NDP-GPU Heterogeneous Architecture. | Jiaming Xu, Tongxin Xie, Yongkang Zhou, Jinhao Li, Yaoxiu Lian, Zhenhua Zhu, Yu Wang, Guohao Dai |
| 2026 | ASPLOS | Untitled record | Jiaming Xu, Jiayi Pan, Hanzhen Wang, Yongkang Zhou, Jiancai Ye, Yu Wang, Guohao Dai |
| 2025 | ASPDAC | LLSM: LLM-enhanced Logic Synthesis Model with EDA-guided CoT Prompting, Hybrid Embedding and AIG-tailored Acceleration. | Shan Huang, Jinhao Li, Zhen Yu, Jiancai Ye, Jiaming Xu, Ningyi Xu, Guohao Dai |
| 2025 | ASPDAC | Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. | Jiaming Xu, Jinhao Li, Jun Liu, Hao Zhou, Guohao Dai |
| 2025 | CIKM | SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. | Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai |
| 2025 | COLT | A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models. | Hang Du, Shuyang Gong, Jiaming Xu |
| 2025 | COLT | "All-Something-Nothing" Phase Transitions in Planted k-Factor Recovery (Extended Abstract). | Julia Gaudio, Colin Sandon, Jiaming Xu, Dana Yang |
| 2025 | COLT | The Planted Spanning Tree Problems: Exact Overlap Characterization via Local Weak Convergence Extended Abstract. | Mehrdad Moharrami, Cristopher Moore, Jiaming Xu |
| 2025 | DAC | A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload. | Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai |
| 2025 | DATE | DyLGNN: Efficient LM-GNN Fine-Tuning with Dynamic Node Partitioning, Low-Degree Sparsity, and Asynchronous Sub-Batch. | Zhen Yu, Jinhao Li, Jiaming Xu, Shan Huang, Jiancai Ye, Ningyi Xu, Guohao Dai |
| 2025 | ICRA | Learning Coordinated Bimanual Manipulation Policies Using State Diffusion and Inverse Dynamics Models. | Haonan Chen, Jiaming Xu, Lily Sheng, Tianchen Ji, Shuijing Liu, Yunzhu Li, Katherine Driggs-Campbell |
| 2025 | ISCA | SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. | Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai |
| 2024 | ICCAD | MARCA: Mamba Accelerator with Reconfigurable Architecture. | Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai |
| 2024 | ICCAD | Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. | Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai |
| 2024 | IJCNN | OSAgent: Copiloting Operating System with LLM-based Agent. | Jiaming Xu, Kaibin Guo, Wuxuan Gong, Runyu Shi |
| 2024 | ISIT | Sharp Information-Theoretic Thresholds for Shuffled Linear Regression. | Leon Lufkin, Yihong Wu, Jiaming Xu |
| 2023 | ICCAD | TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. | Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang |
| 2023 | ICML | SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching. | Liren Yu, Jiaming Xu, Xiaojun Lin |
| 2023 | STOC | Random Graph Matching at Otter's Threshold via Counting Chandeliers. | Cheng Mao, Yihong Wu, Jiaming Xu, Sophie H. Yu |
| 2023 | SIGMETRICS | Constant Regret Primal-Dual Policy for Multi-way Dynamic Matching. | Yehua Wei, Jiaming Xu, Sophie H. Yu |
| 2022 | COLT | Random Graph Matching in Geometric Models: the Case of Complete Graphs. | Haoyu Wang, Yihong Wu, Jiaming Xu, Israel Yolou |
| 2021 | AISTATS | Optimal query complexity for private sequential learning against eavesdropping. | Jiaming Xu, Kuang Xu, Dana Yang |
| 2021 | AISTATS | One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks. | Hanjing Zhu, Jiaming Xu |
| 2021 | ICASSP | Wase: Learning When to Attend for Speaker Extraction in Cocktail Party Environments. | Yunzhe Hao, Jiaming Xu, Peng Zhang, Bo Xu |
| 2021 | ICASSP | Speaker and Direction Inferred Dual-Channel Speech Separation. | Chenxing Li, Jiaming Xu, Nima Mesgarani, Bo Xu |
| 2021 | ICML | Learner-Private Convex Optimization. | Jiaming Xu, Kuang Xu, Dana Yang |
| 2021 | IJCNN | Towards Modeling Auditory Restoration in Noisy Environments. | Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu |
| 2021 | IJCNN | Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training. | Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Lei Qin, Bo Xu |
| 2021 | Interspeech | MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation. | Xiyun Li, Yong Xu, Meng Yu, Shi-Xiong Zhang, Jiaming Xu, Bo Xu, Dong Yu |
| 2021 | ISIT | Settling the Sharp Reconstruction Thresholds of Random Graph Matching. | Yihong Wu, Jiaming Xu, Sophie H. Yu |
| 2021 | SIGMETRICS | The Power of D-hops in Matching Power-Law Graphs. | Liren Yu, Jiaming Xu, Xiaojun Lin |
| 2020 | AAAI | DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. | Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou |
| 2020 | AAAI | Automatic Aspect-Based Sentiment Analysis (AABSA) from Customer Reviews. | Jiaming Xu, Bo Tang, Xiao Liu, Feiyu Xiong |
| 2020 | COLT | Consistent recovery threshold of hidden nearest neighbor graphs. | Jian Ding, Yihong Wu, Jiaming Xu, Dana Yang |
| 2020 | ICML | Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory. | Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu |
| 2020 | IJCAI | LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition. | Xiang Cheng, Yunzhe Hao, Jiaming Xu, Bo Xu |
| 2020 | Interspeech | Speaker-Conditional Chain Model for Speech Separation and Extraction. | Jing Shi, Jiaming Xu, Yusuke Fujita, Shinji Watanabe, Bo Xu |
| 2020 | Interspeech | A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments. | Yunzhe Hao, Jiaming Xu, Jing Shi, Peng Zhang, Lei Qin, Bo Xu |
| 2019 | ACL | A Working Memory Model for Task-oriented Dialog Response Generation. | Xiuyi Chen, Jiaming Xu, Bo Xu |
| 2019 | COLT | The All-or-Nothing Phenomenon in Sparse Linear Regression. | Galen Reeves, Jiaming Xu, Ilias Zadik |
| 2019 | Interspeech | Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation. | Jing Shi, Jiaming Xu, Bo Xu |
| 2019 | KDD | POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. | Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao |
| 2019 | NAACL | The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding. | Yiqun Yao, Jiaming Xu, Bo Xu |
| 2019 | SODA | Seeded Graph Matching via Large Neighborhood Statistics. | Elchanan Mossel, Jiaming Xu |
| 2019 | SIGMETRICS | Securing Distributed Gradient Descent in High Dimensional Statistical Learning. | Lili Su, Jiaming Xu |
| 2019 | SIGMETRICS | Improved Queue-Size Scaling for Input-Queued Switches via Graph Factorization. | Jiaming Xu, Yuan Zhong |
| 2018 | AAAI | Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. | Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu |
| 2018 | EMNLP | Cascaded Mutual Modulation for Visual Reasoning. | Yiqun Yao, Jiaming Xu, Feng Wang, Bo Xu |
| 2018 | ICML | Rates of Convergence of Spectral Methods for Graphon Estimation. | Jiaming Xu |
| 2018 | IJCAI | Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. | Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu |
| 2018 | IJCNN | Distilled Binary Neural Network for Monaural Speech Separation. | Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu |
| 2018 | IJCNN | Improving Speech Separation with Adversarial Network and Reinforcement Learning. | Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu |
| 2018 | ITA | Integrating Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs. | Wei-Kang Hsu, Jiaming Xu, Xiaojun Lin, Mark R. Bell |
| 2018 | TrustCom | A Compact, Lightweight and Low-Cost 8-Bit Datapath AES Circuit for IoT Applications in 28nm CMOS. | Minyi Lu, Ao Fan, Jiaming Xu, Weiwei Shan |
| 2018 | TrustCom | Differential Power Analysis of 8-Bit Datapath AES for IoT Applications. | Jiaming Xu, Ao Fan, Minyi Lu, Weiwei Shan |
| 2018 | SIGMETRICS | Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. | Yudong Chen, Lili Su, Jiaming Xu |
| 2017 | ICONIP | Hierarchical Hybrid Attention Networks for Chinese Conversation Topic Classification. | Yujun Zhou, Changliang Li, Bo Xu, Jiaming Xu, Jie Cao, Bo Xu |
| 2017 | ISIT | Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization. | Jess Banks, Cristopher Moore, Roman Vershynin, Nicolas Verzelen, Jiaming Xu |
| 2016 | COLING | Hierarchical Memory Networks for Answer Selection on Unknown Words. | Jiaming Xu, Jing Shi, Yiqun Yao, Suncong Zheng, Bo Xu, Bo Xu |
| 2016 | COLING | Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling. | Peng Zhou, Zhenyu Qi, Suncong Zheng, Jiaming Xu, Hongyun Bao, Bo Xu |
| 2016 | COLT | Semidefinite Programs for Exact Recovery of a Hidden Community. | Bruce E. Hajek, Yihong Wu, Jiaming Xu |
| 2016 | COLT | Density Evolution in the Degree-correlated Stochastic Block Model. | Elchanan Mossel, Jiaming Xu |
| 2016 | IJCNN | A Bidirectional Hierarchical Skip-Gram model for text topic embedding. | Suncong Zheng, Hongyun Bao, Jiaming Xu, Yuexing Hao, Zhenyu Qi, Hongwei Hao |
| 2016 | Interspeech | THU-EE System Description for NIST LRE 2015. | Liang He, Yao Tian, Yi Liu, Jiaming Xu, Weiwei Liu, Cai Meng, Jia Liu |
| 2016 | ISIT | Information limits for recovering a hidden community. | Bruce E. Hajek, Yihong Wu, Jiaming Xu |
| 2016 | ITW | Mutual information in rank-one matrix estimation. | Florent Krzakala, Jiaming Xu, Lenka Zdeborov |
| 2015 | ACL | Semantic Clustering and Convolutional Neural Network for Short Text Categorization. | Peng Wang, Jiaming Xu, Bo Xu, Cheng-Lin Liu, Heng Zhang, Fangyuan Wang, Hongwei Hao |
| 2015 | ACSSC | Achieving exact cluster recovery threshold via semidefinite programming under the stochastic block model. | Yihong Wu, Jiaming Xu, Bruce E. Hajek |
| 2015 | CICLING | Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags. | Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hongwei Hao |
| 2015 | COLT | Computational Lower Bounds for Community Detection on Random Graphs. | Bruce E. Hajek, Yihong Wu, Jiaming Xu |
| 2015 | IJCAI | Convolutional Neural Networks for Text Hashing. | Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao |
| 2015 | ISIT | Achieving exact cluster recovery threshold via semidefinite programming. | Bruce E. Hajek, Yihong Wu, Jiaming Xu |
| 2015 | ITW | Exact recovery threshold in the binary censored block model. | Bruce E. Hajek, Yihong Wu, Jiaming Xu |
| 2015 | NAACL | Short Text Clustering via Convolutional Neural Networks. | Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao |
| 2015 | SIGMETRICS | Clustering and Inference From Pairwise Comparisons. | Rui Wu, Jiaming Xu, Rayadurgam Srikant, Laurent Massouli, Marc Lelarge, Bruce E. Hajek |
| 2014 | COLT | Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results. | Jiaming Xu, Laurent Massouli, Marc Lelarge |
| 2014 | ICASSP | Improved phonotactic language recognition based on RNN feature reconstruction. | Wei-Wei Liu, Wei-Qiang Zhang, Yongzhe Shi, An Ji, Jiaming Xu, Jia Liu |
| 2014 | ICML | Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting. | Yudong Chen, Jiaming Xu |
| 2014 | ICONIP | Short Text Hashing Improved by Integrating Topic Features and Tags. | Jiaming Xu, Bo Xu, Jun Zhao, Guanhua Tian, Heng Zhang, Hongwei Hao |
| 2014 | SIGMETRICS | Jointly clustering rows and columns of binary matrices: algorithms and trade-offs. | Jiaming Xu, Rui Wu, Kai Zhu, Bruce E. Hajek, R. Srikant, Lei Ying |
| 2013 | ICASSP | Simplified domain transfer multiple kernel learning for language recognition. | Jiaming Xu, Jia Liu, Shanhong Xia |
| 2013 | ITW | Reconstruction in the labeled stochastic block model. | Marc Lelarge, Laurent Massouli, Jiaming Xu |
| 2012 | ISIT | The supermarket game. | Jiaming Xu, Bruce E. Hajek |
| 2010 | GLOBECOM | When Does the Wyner Model Accurately Describe an Uplink Cellular Network? | Jiaming Xu, Jun Zhang, Jeffrey G. Andrews |
| 2010 | ICNC | A self-adaptive differential evolution algorithm for binary CSPs. | Hongjie Fu, Dantong Ouyang, Jiaming Xu |