| 2026 | ICPR | SAVAF: Sparse Audio-Visual Rendering with Multihead Acoustic Field Attention Network. | Ahmed Hasssan, Jian Meng, Sungjin Park, Jae-sun Seo |
| 2026 | WACV | DCSHARP: 3D Gaussian Splatting with Direction Cosine Spherical Harmonics and Shape-Aware Pruning. | Ahmed Hasssan, Jian Meng, Yuanbo Xiangli, Jae-sun Seo |
| 2025 | COLING | CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages. | Michael Bennie, Bushi Xiao, Chryseis Xinyi Liu, Demi Zhang, Jian Meng, Alayo Tripp |
| 2025 | COLING | PANDA - Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset. | Michael Bennie, Demi Zhang, Bushi Xiao, Jing Cao, Chryseis Xinyi Liu, Jian Meng, Alayo Tripp |
| 2025 | CVPR | Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. | Jian Meng, Ahmed Hassan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo |
| 2025 | ICASSP | Quant-NeRF: Efficient End-to-End Quantization of Neural Radiance Fields with Low-Precision 3D Gaussian Representation. | Ahmed Hasssan, Anupreetham Anupreetham, Jian Meng, Jae-sun Seo |
| 2025 | ICONIP | Hierarchical and Multi-scale Attention Network for Retinal Artery/Vein Segmentation and Diameter Estimation. | Jian Meng, Zhenchao Cui, Jing Qi |
| 2025 | ISCAS | Low-Precision Normalization Algorithm and Accelerator for Neural Network Training. | Han-Sok Suh, Jian Meng, Jae-Sun Seo |
| 2025 | ISLPED | Hybrid Systolic Array Accelerator with Optimized Dataflow for Edge Large Language Model Inference. | Chun-Ting Chen, HanGyeol Mun, Jian Meng, Mohamed S. Abdelfattah, Jae-sun Seo |
| 2024 | ECCV | POCA: Post-training Quantization with Temporal Alignment for Codec Avatars. | Jian Meng, Yuecheng Li, Chenghui Li, Syed Shakib Sarwar, Dilin Wang, Jae-sun Seo |
| 2024 | IJCNN | Spiking Neural Network with Learnable Threshold for Event-based Classification and Object Detection. | Ahmed Hasssan, Jian Meng, Jae-Sun Seo |
| 2024 | ISLPED | A 28nm Scalable and Flexible Accelerator for Sparse Transformer Models. | Yuan Liao, Jian Meng, Jae-sun Seo |
| 2024 | MICRO | BBS: Bi-Directional Bit-Level Sparsity for Deep Learning Acceleration. | Yuzong Chen, Jian Meng, Jae-sun Seo, Mohamed S. Abdelfattah |
| 2023 | CogSci | Lexical Entrainment in Bilingual Language Use. | Yongjia Song, Kathlyn Canales, Yuting Gu, Jiachen Jin, Jian Meng, Yiqun Zhang, Judith F. Kroll, Gregory Scontras |
| 2023 | DATE | PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration. | Wangxin He, Jian Meng, Sujan Kumar Gonugondla, Shimeng Yu, Naresh R. Shanbhag, Jae-sun Seo |
| 2022 | ACSSC | Spatial-temporal Data Compression of Dynamic Vision Sensor Output with High Pixel-level Saliency using Low-precision Sparse Autoencoder. | Ahmed Hassan, Jian Meng, Yu Cao, Jae-sun Seo |
| 2022 | ASPDAC | XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. | Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan |
| 2022 | CVPR | Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. | Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo |
| 2022 | DAC | XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. | Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan |
| 2022 | DATE | XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. | Fan Zhang, Li Yang, Jian Meng, Jae-Sun Seo, Yu Cao, Deliang Fan |
| 2021 | DATE | Modeling and Optimization of SRAM-based In-Memory Computing Hardware Design. | Jyotishman Saikia, Shihui Yin, Sai Kiran Cherupally, Bo Zhang, Jian Meng, Mingoo Seok, Jae-Sun Seo |
| 2021 | FPL | FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access. | Jian Meng, Shreyas Kolala Venkataramanaiah, Chuteng Zhou, Patrick Hansen, Paul N. Whatmough, Jae-sun Seo |
| 2020 | HCI | Visual Compiler: Towards Translating Digital UI Design Draft to Front-End Code Automatically. | Jiemao Pan, Xiang Chen, Ting Chen, Bin Tang, Junbiao Yang, Yuhong Chen, Yixiong Lin, Chao Xiao, Jian Meng |
| 2020 | Interspeech | Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity. | Deepak Kadetotad, Jian Meng, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo |
| 2007 | ICRA | Assembly Problem of Overconstrained and Clearance-free Parallel Manipulators. | Jian Meng, Dongjun Zhang, Zexiang Li |
| 2007 | ICRA | Accuracy Analysis of General Parallel Manipulators with Joint Clearance. | Jian Meng, Dongjun Zhang, Tinghua Zhang, Hong Wang, Zexiang Li |
| 2006 | IROS | Finite Motion Validation for Parallel Manipulators: A Differential Geometry Approach. | Yuanqing Wu, Han Ding, Jian Meng, Zexiang Li |
| 2006 | WISE | Design of Chinese Word Segmentation System Based on Improved Chinese Converse Dictionary and Reverse Maximum Matching Algorithm. | Liyi Zhang, Yazi Li, Jian Meng |
| 2005 | ICRA | A Geometric Theory for Synthesis and Analysis of Sub-6 DoF Parallel Manipulators. | Jian Meng, Guanfeng Liu, Zexiang Li |
| 2005 | ICRA | A Geometric Theory for Synthesis and Analysis of Sub-6 DoF Serial Manipulator Subchains. | Jian Meng, Guanfeng Liu, Zexiang Li |
| 2005 | IROS | A general approach for accuracy analysis of parallel manipulators with joint clearance. | Jian Meng, Zexiang Li |
| 2005 | IROS | Lie theoretical approach to synthesizing T(3) parallel kinematic manipulators. | Yuanqing Wu, Han Ding, Jian Meng, Zexiang Li |
| 2003 | IROS | Kinematic synthesis of parallel manipulators: a Lie theoretic approach. | Guanfeng Liu, Jian Meng, Jijie Xu, Zexiang Li |
| 2003 | ICRA | Auto-calibration for a parallel manipulator with sensor redundancy. | Yiu Kuen Yiu, Jian Meng, Zexiang Li |