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2020 – today
- 2024
[j53]Long Cheng
, Li Du, Cong Liu, Yang Hu, Fang Fang, Tomás Ward:
Multi-modal fusion for business process prediction in call center scenarios. Inf. Fusion 108: 102362 (2024)- [j52]Xuewen He, Yichuan Bai, Yujia Liu, Li Du, Zhongfeng Wang, Yuan Du:
Low-Latency PAE: Permutation-Based Address Encryption Hardware Engine for IoT Real-Time Memory Protection. IEEE Internet Things J. 11(7): 12319-12330 (2024) - [j51]Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Reasoning subevent relation over heterogeneous event graph. Knowl. Inf. Syst. 66(9): 5311-5333 (2024) - [j50]Aojie Jiang, Li Du, Yuan Du:
GroupQ: Group-Wise Quantization With Multi-Objective Optimization for CNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(7): 2071-2083 (2024) - [j49]Yichuan Bai, Yaqing Li, Heng Zhang, Aojie Jiang, Yuan Du, Li Du:
A Compilation Framework for SRAM Computing-in-Memory Systems With Optimized Weight Mapping and Error Correction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2379-2392 (2024) - [j48]Zhuang Shao, Chenjia Xie, Zihan Ning, Qi Wu, Liang Chang, Yuan Du, Li Du:
An Efficient GCN Accelerator Based on Workload Reorganization and Feature Reduction. IEEE Trans. Circuits Syst. I Regul. Pap. 71(2): 646-659 (2024) - [j47]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Yuan Du, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. IEEE Trans. Intell. Veh. 9(1): 2489-2498 (2024) - [j46]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26: 1957-1968 (2024) - [j45]Chenjia Xie, Zhuang Shao, Zhichao Chen, Yuan Du, Li Du:
An Energy-Efficient Spiking Neural Network Accelerator Based on Spatio-Temporal Redundancy Reduction. IEEE Trans. Very Large Scale Integr. Syst. 32(4): 782-786 (2024) - [j44]Heng Zhang, Wenhe Yin, Sunan He, Yuan Du, Li Du:
An Efficient Two-Stage Pipelined Compute-in-Memory Macro for Accelerating Transformer Feed-Forward Networks. IEEE Trans. Very Large Scale Integr. Syst. 32(10): 1889-1899 (2024) - [c91]Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang:
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials. AAAI 2024: 16094-16102 - [c90]Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Xiaofan Zhang, Shaoting Zhang:
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges. ACL (Findings) 2024: 2840-2861 - [c89]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qi:
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. ACL (Findings) 2024: 9386-9406 - [c88]Li Du, Holden Lee, Jason Eisner, Ryan Cotterell:
When is a Language Process a Language Model? ACL (Findings) 2024: 11083-11094 - [c87]Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. ACL (1) 2024: 14455-14469 - [c86]Junfeng Tan, Guosheng Yu, Jianing Li, Xiaohan Ma, Fang Bao, Evens Pan, David Bian, Yongfu Li, Yuan Du, Li Du, Bo Li, Wei Mao:
AICAS Grand Challenge 2024: Software and Hardware Co-optimization for General Large Language Model Inference on CPU. AICAS 2024: 1-5 - [c85]Yiheng Hui, Yuanlin Nong, He Ma, Jingjing Lv, Lei Chen, Li Du, Yuan Du:
A CNN-based One-shot Blind RX-side-only Equalization Scheme for High-speed SerDes links. AICAS 2024: 61-65 - [c84]Yichuan Bai, Xiaopeng Zhang, Qian Wang, Jingjing Lv, Lei Chen, Yuan Du, Li Du:
An Area-Efficient CNN Accelerator Supporting Global Average Pooling with Arbitrary Shapes. AICAS 2024: 413-416 - [c83]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING 2024: 16527-16538 - [c82]Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang:
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. CVPR 2024: 7027-7037 - [c81]Jiachao Wei, Li Du, Yuchen Gou:
The Current Situation and Enhancement Strategies of Teachers' Core Literacy in Township Secondary School under Smart Learning Environments. ICALT 2024: 169-170 - [c80]Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell:
Principled Gradient-Based MCMC for Conditional Sampling of Text. ICML 2024 - [c79]Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du:
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic. ICML 2024 - [c78]Likai Li, Yichuan Bai, Shengping Liu, Yang Zhao, Sunan He, Yaqing Li, Li Du, Yuan Du:
Optoelectronic Computing Evaluation and Deployment Platform Based on a 256-MAC Silicon Photonic Chip. ISCAS 2024: 1-5 - [i49]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR abs/2401.07853 (2024) - [i48]Jianing Li, Xi Nan, Ming Lu, Li Du, Shanghang Zhang:
Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis. CoRR abs/2401.17862 (2024) - [i47]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin:
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024) - [i46]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR abs/2404.01677 (2024) - [i45]Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang:
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR abs/2404.08985 (2024) - [i44]Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Shaoting Zhang:
Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges. CoRR abs/2405.10630 (2024) - [i43]Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang:
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. CoRR abs/2405.16486 (2024) - [i42]Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du:
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic. CoRR abs/2407.02913 (2024) - [i41]Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR abs/2407.04752 (2024) - [i40]Bo-Wen Zhang, Liangdong Wang, Ye Yuan, Jijie Li, Shuhao Gu, Mengdi Zhao, Xinya Wu, Guang Liu, Chengwei Wu, Hanyu Zhao, Li Du, Yiming Ju, Quanyue Ma, Yulong Ao, Yingli Zhao, Songhe Zhu, Zhou Cao, Dong Liang, Yonghua Lin, Ming Zhang, Shunfei Wang, Yanxin Zhou, Min Ye, Xuekai Chen, Xinyang Yu, Xiangjun Huang, Jian Yang:
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies. CoRR abs/2408.06567 (2024) - [i39]Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao:
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024) - [i38]Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. CoRR abs/2408.12942 (2024) - [i37]Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du:
PAT: Pruning-Aware Tuning for Large Language Models. CoRR abs/2408.14721 (2024) - [i36]Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan:
Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency. CoRR abs/2409.07045 (2024) - [i35]Chengjie Liu, Weiyu Chen, Anlan Peng, Yuan Du, Li Du, Jun Yang:
AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting. CoRR abs/2409.14739 (2024) - [i34]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. CoRR abs/2409.15820 (2024) - 2023
- [j43]Jinjiang Liu, Chaofei Zhang, Qinglei Qi, He Li, Li Du:
MixNet-CA: A Novel Disease Identification Method for Chinese Roses Based on MixNet-s. IEEE Access 11: 97538-97548 (2023) - [j42]Xiaolu Zhang, Lei Cui, Wuqiang Shen, Jijun Zeng, Li Du, Haoyang He, Long Cheng:
File processing security detection in multi-cloud environments: a process mining approach. J. Cloud Comput. 12(1): 100 (2023) - [j41]Qian Liu, Li Du, Yuan Du:
A 0.90-Tb/s/in 1.29-pJ/b Wireline Transceiver With Single-Ended Crosstalk Cancellation Coding Scheme for High-Density Interconnects. IEEE J. Solid State Circuits 58(8): 2326-2336 (2023) - [j40]Xulong Zhang, Zihao Cheng, Li Du, Yuan Du:
Progressive Classifier Mechanism for Bridge Expansion Joint Health Status Monitoring System Based on Acoustic Sensors. Sensors 23(11): 5090 (2023) - [j39]Chenjia Xie, Zhuang Shao, Ning Zhao, Yuan Du, Li Du:
An Efficient CNN Inference Accelerator Based on Intra- and Inter-Channel Feature Map Compression. IEEE Trans. Circuits Syst. I Regul. Pap. 70(9): 3625-3638 (2023) - [j38]Heng Zhang, Sunan He, Xin Lu, Xinjie Guo, Shaodi Wang, Yuan Du, Li Du:
SSM-CIM: An Efficient CIM Macro Featuring Single-Step Multi-bit MAC Computation for CNN Edge Inference. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4357-4368 (2023) - [j37]Zhiwen Gu, Feng Yang, Yuhang Zhang, Yanhan Zeng, Zhihong Luo, Yuan Du, Li Du, Yongfu Li:
Design of All-Digital Two Phase Ping-Pong Switched Capacitor Voltage Doubler Power Converter. IEEE Trans. Circuits Syst. II Express Briefs 70(10): 3807-3811 (2023) - [j36]Haoran Geng, Xiaoliang Chen, Ning Zhao, Yuan Du, Li Du:
QPA: A Quantization-Aware Piecewise Polynomial Approximation Methodology for Hardware-Efficient Implementations. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 931-944 (2023) - [c77]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. ACL (Findings) 2023: 598-614 - [c76]Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882 - [c75]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. ACL (1) 2023: 5184-5207 - [c74]Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell:
A Measure-Theoretic Characterization of Tight Language Models. ACL (1) 2023: 9744-9770 - [c73]Yichuan Bai, Zhuang Shao, Chenshuo Zhang, Aojie Jiang, Yuan Du, Li Du:
Live Demonstration: An Efficient Neural Network Processor with Reduced Data Transmission and On-chip Shortcut Mapping. AICAS 2023: 1-2 - [c72]Yuandong Li, Li Du, Yuan Du:
A Column-Parallel Time-Interleaved SAR/SS ADC for Computing in Memory with 2-8bit Reconfigurable Resolution. AICAS 2023: 1-5 - [c71]Jianing Li, Jiabin Liu, Xingyuan Hu, Yuhang Zhang, Guosheng Yu, Shimeng Qian, Wei Mao, Li Du, Yongfu Li, Yuan Du:
Grand Challenge on Software and Hardware Co-Optimization for E-Commerce Recommendation System. AICAS 2023: 1-5 - [c70]Yajie Wu, Tianze Li, Zhuang Shao, Li Du, Yuan Du:
An Efficient Design Framework for 2×2 CNN Accelerator Chiplet Cluster with SerDes Interconnects. AICAS 2023: 1-5 - [c69]Ye Lin, Yang Xiao, Jingjing Lv, Li Du, Yuan Du:
A Dual-Mode Broadband Image Sensor Based on Graphene-CMOS Integration. ASICON 2023: 1-4 - [c68]Xin Lu, Heng Zhang, Leilei Wang, Tao Fang, Chunhui Zhang, Feng Wang, Li Du, Yashe Liu, Xiangfei Chen, Yuan Du:
A Non-Centralized Routing Scheme with Phase-Caching CDR for Nanosecond-Level Optical Switching Systems. ASICON 2023: 1-4 - [c67]Hang Xu, Chenjia Xie, Xin Lu, Li Du, Yuan Du:
Memory-Efficient Compression Based on Least-Squares Fitting in Convolutional Neural Network Accelerators. ASICON 2023: 1-4 - [c66]Heng Zhang, Yuan Du, Li Du:
Linearity Analysis for Charge Domain In-memory Computing. ASICON 2023: 1-4 - [c65]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR 2023: 20321-20330 - [c64]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC 2023: 1-6 - [c63]Franz Nowak, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. EMNLP 2023: 7011-7034 - [c62]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV 2023: 3802-3812 - [c61]Jianing Li, Yuan Du, Li Du:
Siamese Network Representation for Active Learning. ICIP 2023: 131-135 - [c60]Zihan Ning, Tong Sun, Jizhao Li, Yanfei Ren, Chenjia Xie, Li Du, Lianggong Wen, Yuan Du:
Graph Neural Network Assisted S-Parameter Inference and Control-Word Generation of Terahertz Reconfigurable Intelligent Surface. ICTA 2023: 41-42 - [c59]Zhichao Chen, Yang Xiao, Li Du, Yuan Du:
Characterization of Charge-Trap-Transistor (CTT) Threshold Voltage Degradation and Differential-Pair-Based Memory Design. ISCAS 2023: 1-5 - [c58]Afra Amini, Li Du, Ryan Cotterell:
Structured Voronoi Sampling. NeurIPS 2023 - [i33]Li Du, Hongyuan Mei, Jason Eisner:
Autoregressive Modeling with Lookahead Attention. CoRR abs/2305.12272 (2023) - [i32]Afra Amini, Li Du, Ryan Cotterell:
Structured Voronoi Sampling. CoRR abs/2306.03061 (2023) - [i31]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. CoRR abs/2306.16837 (2023) - [i30]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. CoRR abs/2306.16842 (2023) - [i29]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR abs/2308.10515 (2023) - [i28]Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie:
FPTQ: Fine-grained Post-Training Quantization for Large Language Models. CoRR abs/2308.15987 (2023) - [i27]Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang:
FLM-101B: An Open LLM and How to Train It with $100K Budget. CoRR abs/2309.03852 (2023) - [i26]Li Du, Yequan Wang, Xingrun Xing, Yiqun Ya, Xiang Li, Xin Jiang, Xuezhi Fang:
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis. CoRR abs/2309.05217 (2023) - [i25]Franz Nowak, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. CoRR abs/2310.12942 (2023) - [i24]Ryan Cotterell, Anej Svete, Clara Meister, Tianyu Liu, Li Du:
Formal Aspects of Language Modeling. CoRR abs/2311.04329 (2023) - [i23]Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang:
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials. CoRR abs/2312.08937 (2023) - [i22]Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell:
Principled Gradient-based Markov Chain Monte Carlo for Text Generation. CoRR abs/2312.17710 (2023) - 2022
- [j35]Maodong Li, Guanghui Xu, Yuanwang Fu, Tingwei Zhang, Li Du:
Improved whale optimization algorithm based on variable spiral position update strategy and adaptive inertia weight. J. Intell. Fuzzy Syst. 42(3): 1501-1517 (2022) - [j34]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022) - [j33]Hanyue Shui, Haoran Geng, Qiong Li, Li Du, Yuan Du:
A Low-Power High-Accuracy Urban Waterlogging Depth Sensor Based on Millimeter-Wave FMCW Radar. Sensors 22(3): 1236 (2022) - [j32]Chengjie Liu, Yuan Du, Li Du:
A Contactless Glucose Solution Concentration Measurement System Based on Improved High Accurate FMCW Radar Algorithm. Sensors 22(11): 4126 (2022) - [j31]Zhuang Shao, Xiaoliang Chen, Li Du, Lei Chen, Yuan Du, Wei Zhuang, Huadong Wei, Chenjia Xie, Zhongfeng Wang:
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression. IEEE Trans. Circuits Syst. I Regul. Pap. 69(2): 668-681 (2022) - [j30]Yichuan Bai, Mingzhe Jiang, Qingyu Zhu, Xiaoliang Chen, Yuan Du, Li Du, Zhongfeng Wang:
An Efficient High-Throughput Structured-Light Depth Engine. IEEE Trans. Very Large Scale Integr. Syst. 30(8): 1047-1058 (2022) - [c57]Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu:
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. AAAI 2022: 10454-10462 - [c56]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446 - [c55]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c54]Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin:
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS 2022: 111-122 - [c53]Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225 - [c52]Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei:
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. EMNLP (Findings) 2022: 5750-5768 - [c51]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438 - [c50]Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. ICRA 2022: 9243-9250 - [c49]Chengqiang Zhao, Wuyu Fan, Jingjing Lv, Li Du, Yuan Du:
An X-band Phase Detector Based on Quadrature Modulation in 28-nm CMOS. ISCAS 2022: 3077-3081 - [c48]Wuyu Fan, Yuandong Li, Li Du, Likai Li, Yuan Du:
A 3-8bit Reconfigurable Hybrid ADC Architecture with Successive-approximation and Single-slope Stages for Computing in Memory. ISCAS 2022: 3393-3397 - [c47]Chenjia Xie, Zhuang Shao, Hang Xu, Xiaoliang Chen, Li Du, Yuan Du, Zhongfeng Wang:
Deep Neural Network Interlayer Feature Map Compression Based on Least-Squares Fitting. ISCAS 2022: 3398-3402 - [c46]Xingyuan Hu, Zhuang Shao, Chenjia Xie, Li Du, Yuan Du:
SVR: A Shard-aware Vertex Reordering Method for Efficient GNN Execution and Memory Access. ISOCC 2022: 165-166 - [c45]Xuewen He, Yajie Wu, Yichuan Bai, Jie Liu, Li Du, Yuan Du:
A Reconfigurable Design of Flexible-arbitrated Crossbar Interconnects in Multi-core SoC system. MCSoC 2022: 368-374 - [i21]Guhong Nie, Lirui Xiao, Menglong Zhu, Dongliang Chu, Yue Shen, Peng Li, Kang Yang, Li Du, Bo Chen:
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision. CoRR abs/2202.03716 (2022) - [i20]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022) - [i19]Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i18]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR abs/2208.09884 (2022) - [i17]Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang:
Uncertainty Guided Depth Fusion for Spike Camera. CoRR abs/2208.12653 (2022) - [i16]Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR abs/2208.14509 (2022) - [i15]Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei:
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. CoRR abs/2210.10041 (2022) - [i14]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR abs/2211.16056 (2022) - [i13]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. CoRR abs/2212.00623 (2022) - [i12]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR abs/2212.02770 (2022) - [i11]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. CoRR abs/2212.08322 (2022) - [i10]Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell:
A Measure-Theoretic Characterization of Tight Language Models. CoRR abs/2212.10502 (2022) - 2021
- [j29]Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [c44]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363 - [c43]Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190 - [c42]Junhan Zhu, Xiaoliang Chen, Li Du, Haoran Geng, Yichuan Bai, Yuandong Li, Yuan Du, Zhongfeng Wang:
Flexible-width Bit-level Compressor for Convolutional Neural Network. AICAS 2021: 1-4 - [c41]Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684 - [c40]Kai Chen, Yimin Huang, Yuan Du, Zhuang Shao, Xingyu Gu, Li Du, Zhongfeng Wang:
A DNN Optimization Framework with Unlabeled Data for Efficient and Accurate Reconfigurable Hardware Inference. ISCAS 2021: 1-5 - [c39]Yimin Huang, Kai Chen, Zhuang Shao, Yichuan Bai, Yafeng Huang, Yuan Du, Li Du, Zhongfeng Wang:
LSMQ: A Layer-Wise Sensitivity-Based Mixed-Precision Quantization Method for Bit-Flexible CNN Accelerator. ISOCC 2021: 256-257 - [c38]Yang Xiao, Wuyu Fan, Yuan Du, Li Du, Mau-Chung Frank Chang:
CTT-based Non-Volatile Deep Neural Network Accelerator Design. ISOCC 2021: 258-259 - [i9]Zhuang Shao, Xiaoliang Chen, Li Du, Lei Chen, Yuan Du, Wei Zhuang, Huadong Wei, Chenjia Xie, Zhongfeng Wang:
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression. CoRR abs/2110.06155 (2021) - 2020
- [j28]Jingyu Wang, Zhe Yuan, Ruoyang Liu, Xiaoyu Feng, Li Du, Huazhong Yang, Yongpan Liu:
GAAS: An Efficient Group Associated Architecture and Scheduler Module for Sparse CNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5170-5182 (2020) - [j27]Li Du, Yuan Du, Mau-Chung Frank Chang:
A Reconfigurable 64-Dimension K-Means Clustering Accelerator With Adaptive Overflow Control. IEEE Trans. Circuits Syst. II Express Briefs 67-II(4): 760-764 (2020) - [c37]Shilei Hao, Yiwu Tang, Xuan Ding, Li Du, Yuan Du, Adrian Tang, Qun Jane Gu, Mau-Chung Frank Chang:
An 8.3% Efficiency 96-134 GHz CMOS Frequency Doubler Using Distributed Amplifier and Nonlinear Transmission Line. A-SSCC 2020: 1-2 - [c36]Guimei Qi, Li Du, Min Zhi, Qing Yong:
Driving State Recognition for Ego-central Driving Videos. ICCCS 2020: 277-280 - [c35]Yufei Ma, Yuan Du, Li Du, Jun Lin, Zhongfeng Wang:
In-Memory Computing: The Next-Generation AI Computing Paradigm. ACM Great Lakes Symposium on VLSI 2020: 265-270 - [c34]Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. ICLR 2020 - [c33]Yuchen Mei, Li Du, Xuewen He, Yuan Du, Xiaoliang Chen, Zhongfeng Wang:
A Reconfigurable Permutation Based Address Encryption Architecture for Memory Security. SoCC 2020: 7-12
2010 – 2019
- 2019
- [j26]Wenjuan Mei, Zhen Liu, Yuanzhang Su, Li Du, Jianguo Huang:
Evolved-Cooperative Correntropy-Based Extreme Learning Machine for Robust Prediction. Entropy 21(9): 912 (2019) - [j25]Yuan Du, Li Du, Xuefeng Gu, Jieqiong Du, X. Shawn Wang, Boyu Hu, Mingzhe Jiang, Xiaoliang Chen, Subramanian S. Iyer, Mau-Chung Frank Chang:
An Analog Neural Network Computing Engine Using CMOS-Compatible Charge-Trap-Transistor (CTT). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1811-1819 (2019) - [j24]Li Du, Zixuan Wang, Leiquan Wang, Zhicheng Zhao, Fei Su, Bojin Zhuang, Nikolaos V. Boulgouris:
Adaptive Visual Interaction Based Multi-Target Future State Prediction For Autonomous Driving Vehicles. IEEE Trans. Veh. Technol. 68(5): 4249-4261 (2019) - [c32]Li Du, Xiao Ding, Ting Liu, Zhongyang Li:
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. EMNLP/IJCNLP (1) 2019: 2682-2691 - [c31]Li Du, Zhicheng Zhao, Fei Su, Leiquan Wang, Chaohong An:
Jointly Predicting Future Sequence and Steering Angles for Dynamic Driving Scenes. ICASSP 2019: 4070-4074 - [c30]Wenjian Liu, Xiayuan Wen, Jun Lin, Zhongfeng Wang, Li Du:
EAGLE: Exploiting Essential Address in Both Weight and Activation to Accelerate CNN Computing. SiPS 2019: 73-78 - [c29]Meiqi Wang, Jianqiao Mo, Jun Lin, Zhongfeng Wang, Li Du:
DynExit: A Dynamic Early-Exit Strategy for Deep Residual Networks. SiPS 2019: 178-183 - [c28]Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang, Li Du:
A Low-Latency and Low-Complexity Hardware Architecture for CTC Beam Search Decoding. SiPS 2019: 352-357 - [c27]Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. SoCC 2019: 62-67 - [c26]Li Du, Kaikun Ji, Zhicheng Zhao, Fei Su, Bojin Zhuang:
An End-to-End Future Frame Prediction Method for Vehicle-Centric Driving Videos. VCIP 2019: 1-4 - [i8]Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. CoRR abs/1909.03831 (2019) - [i7]Li Du, Xiao Ding, Ting Liu, Zhongyang Li:
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. CoRR abs/1909.08824 (2019) - 2018
- [j23]Zhipeng Tan, Li Du, Dan Feng, Wei Zhou:
EML: An I/O scheduling algorithm in large-scale-application environments. Future Gener. Comput. Syst. 78: 1091-1100 (2018) - [j22]Dawei Gong, Peng Wang, Shuangyu Zhao, Li Du, Yu Duan:
Bionic quadruped robot dynamic gait control strategy based on twenty degrees of freedom. IEEE CAA J. Autom. Sinica 5(1): 382-388 (2018) - [j21]Yilei Li, Kirti Dhwaj, Chien-Heng Wong, Yuan Du, Li Du, Yiwu Tang, Yiyu Shi, Tatsuo Itoh, Mau-Chung Frank Chang:
A Novel Fully Synthesizable All-Digital RF Transmitter for IoT Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 146-158 (2018) - [j20]Li Du, Chun-Chen Liu, Yan Zhang, Yilei Li, Yuan Du, Yen-Cheng Kuan, Mau-Chung Frank Chang:
A Single Layer 3-D Touch Sensing System for Mobile Devices Application. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(2): 286-296 (2018) - [j19]Li Du, Yuan Du, Yilei Li, Junjie Su, Yen-Cheng Kuan, Chun-Chen Liu, Mau-Chung Frank Chang:
A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator for Internet of Things. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(1): 198-208 (2018) - [c25]Yiwu Tang, Chien-Heng Wong, Yuan Du, Li Du, Yilei Li, Mau-Chung Frank Chang:
A fully integrated 28nm CMOS dual source adaptive thermoelectric and RF energy harvesting circuit with 110mv startup voltage. CICC 2018: 1-4 - 2017
- [j18]Yuan Du, Wei-Han Cho, Po-Tsang Huang, Yilei Li, Chien-Heng Wong, Jieqiong Du, Yanghyo Kim, Boyu Hu, Li Du, Chun-Chen Liu, Sheau Jiung Lee, Mau-Chung Frank Chang:
A 16-Gb/s 14.7-mW Tri-Band Cognitive Serial Link Transmitter With Forwarded Clock to Enable PAM-16/256-QAM and Channel Response Detection. IEEE J. Solid State Circuits 52(4): 1111-1122 (2017) - [j17]Li Du, Yan Zhang, Chun-Chen Liu, Adrian Tang, Frank Hsiao, Mau-Chung Frank Chang:
A 2.3-mW 11-cm Range Bootstrapped and Correlated-Double-Sampling Three-Dimensional Touch Sensing Circuit for Mobile Devices. IEEE Trans. Circuits Syst. II Express Briefs 64-II(1): 96-100 (2017) - [j16]Yinggao Yue, Jianqing Li, Hehong Fan, Qin Qin, Le Gu, Li Du:
Fault Prediction Based on the Kernel Function for Ribbon Wireless Sensor Networks. Wirel. Pers. Commun. 97(3): 3277-3292 (2017) - [c24]Li Du, Wenhui Jiang, Zhicheng Zhao, Fei Su:
Ego-Motion Classification for Driving Vehicle. BigMM 2017: 276-279 - [c23]Weitao Yuan, Zhaokun Zhang, Zhufeng Shao, Liping Wang, Li Du:
Performance Research of Planar 5R Parallel Mechanism with Variable Drive Configurations. ICIRA (2) 2017: 453-463 - [c22]Hao Ma, Yuan Tan, Li Du, Xu Han, Jing Ji:
An integrated design of power converters for electric vehicles. ISIE 2017: 600-605 - [i6]Yilei Li, Li Du:
1.5 bit-per-stage 8-bit Pipelined CMOS A/D Converter for Neuromophic Vision Processor. CoRR abs/1701.08877 (2017) - [i5]Li Du, Yilei Li:
A/D Converter Architectures for Energy-Efficient Vision Processor. CoRR abs/1703.01681 (2017) - [i4]Li Du, Yuan Du, Yilei Li, Mau-Chung Frank Chang:
A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator for Internet of Things. CoRR abs/1707.02973 (2017) - [i3]Yuan Du, Li Du, Yilei Li, Junjie Su, Mau-Chung Frank Chang:
A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications. CoRR abs/1709.05116 (2017) - [i2]Yuan Du, Li Du, Xuefeng Gu, Xiao Wang, Mau-Chung Frank Chang:
A Memristive Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT). CoRR abs/1709.06614 (2017) - 2016
- [j15]Guangliang Kang, Li Du, Hong Zhang:
multiDE: a dimension reduced model based statistical method for differential expression analysis using RNA-sequencing data with multiple treatment conditions. BMC Bioinform. 17: 248 (2016) - [j14]Wanxia Mei, Li Du, Baozhuang Niu, Jincheng Wang, Jiejian Feng:
The effects of an undisclosed regular price and a positive leadtime in a presale mechanism. Eur. J. Oper. Res. 250(3): 1013-1025 (2016) - [j13]Huan Xie, Li Du, Sicong Liu, Lei Chen, Sa Gao, Shuang Liu, Haiyan Pan, Xiaohua Tong:
Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data. ISPRS Int. J. Geo Inf. 5(10): 172 (2016) - [c21]Zhihui Wang, Gefei Xu, Yue Lv, Xudong Wu, Minjun Wang, Li Du:
Design and development of multi-wavelet image fusion system based on RF5 Framework. CISP-BMEI 2016: 671-675 - [c20]Li Du, Chun-Chen Liu, Adrian Tang, Yan Zhang, Yilei Li, Kye Cheung, Mau-Chung Frank Chang:
Invited - Airtouch: a novel single layer 3D touch sensing system for human/mobile devices interactions. DAC 2016: 1:1-1:6 - [i1]Li Du:
An Overview of Mobile Capacitive Touch Technologies Trends. CoRR abs/1612.08227 (2016) - 2015
- [j12]Lei Su, Tielin Shi, Li Du, Xiangning Lu, Guanglan Liao:
Genetic algorithms for defect detection of flip chips. Microelectron. Reliab. 55(1): 213-220 (2015) - [j11]Guanglan Liao, Li Du, Lei Su, Miao Zeng, Lei Nie, Tielin Shi:
Using RBF networks for detection and prediction of flip chip with missing bumps. Microelectron. Reliab. 55(12): 2817-2825 (2015) - [j10]Guanglan Liao, Pengfei Chen, Li Du, Lei Su, Zhiping Liu, Zirong Tang, Tielin Shi:
Using SOM neural network for X-ray inspection of missing-bump defects in three-dimensional integration. Microelectron. Reliab. 55(12): 2826-2832 (2015) - [j9]Li Du, Xiaoliang Zhu, Jiang Zhe:
An Inductive Sensor for Real-Time Measurement of Plantar Normal and Shear Forces Distribution. IEEE Trans. Biomed. Eng. 62(5): 1316-1323 (2015) - [c19]Li Du, Yan Zhang, Frank Hsiao, Adrian Tang, Yan Zhao, Yilei Li, Zuow-Zun Chen, Liting Huang, Mau-Chung Frank Chang:
6.7 A 2.3mW 11cm-range bootstrapped and correlated-double-sampling (BCDS) 3D touch sensor for mobile devices. ISSCC 2015: 1-3 - 2014
- [j8]Jianbin Gao, Qi Xia, Lixue Yin, Ji Zhou, Li Du, Yunfeng Fan:
A Novel Blind Separation Method in Magnetic Resonance Images. Comput. Math. Methods Medicine 2014: 726712:1-726712:6 (2014) - [c18]Deng Chen, Li Du, Zhiping Jiang, Wei Xi, Jinsong Han, Kun Zhao, Jizhong Zhao, Zhi Wang, Rui Li:
A fine-grained indoor localization using multidimensional Wi-Fi fingerprinting. ICPADS 2014: 494-501 - [c17]Yawei Xiao, Qinwei Liu, Yunyu Tang, Li Du, Hao Ma:
Current sharing model of parallel connected IGBTs during turn-on. IECON 2014: 1350-1355 - 2012
- [c16]Joseph P. Davis, Joan E. Carletta, Robert J. Veillette, Li Du, Jiang Zhe:
Instrumentation circuitry for an inductive wear debris sensor. NEWCAS 2012: 501-504 - 2011
- [j7]Zhonglai Wang, Hong-Zhong Huang, Li Du:
Reliability analysis on competitive failure processes under fuzzy degradation data. Appl. Soft Comput. 11(3): 2964-2973 (2011) - 2010
- [c15]Shujian Bu, Tong Zhang, Li Du:
Approximations and Simulation of the Optimal Change Interval for Roundabout. DBTA 2010: 1-3 - [c14]Li Du, Qian Chen, Na Bian:
An Empirical Analysis of Bidding Behavior in Simultaneous Ascending-Bid Auctions. ICEE 2010: 249-251
2000 – 2009
- 2009
- [j6]Ke Chen, Yingfu Jiang, Li Du, Lukasz A. Kurgan:
Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs. J. Comput. Chem. 30(1): 163-172 (2009) - [c13]Keming Xie, Jun Xie, Li Du, Xinying Xu:
Granular Computing and Neural Network Integrated Algorithm Applied in Fault Diagnosis. FSKD (1) 2009: 188-191 - 2008
- [c12]Weijun Tan, Shaohua Yang, Kelly Fitzpatrick, Hao Zhong, Li Du, Yuanxing Lee:
Media Defect Recovery Using Full-Response Reequalization in Magnetic Recording Channels. GLOBECOM 2008: 3055-3059 - 2007
- [c11]Li-Ping He, Hong-Zhong Huang, Li Du, Xu-Dong Zhang, Qiang Miao:
A Review of Possibilistic Approaches to Reliability Analysis and Optimization in Engineering Design. HCI (4) 2007: 1075-1084 - 2006
- [j5]Li Du, Qiying Hu, Liming Liu:
A profit sharing scheme for a two-firm joint venture. Eur. J. Oper. Res. 170(1): 277-292 (2006) - [j4]Zhenshan Zhang, Mingyue Zheng, Li Du, Jianhua Shen, Xiaomin Luo, Weiliang Zhu, Hualiang Jiang:
Towards discovering dual functional inhibitors against both wild type and K103N mutant HIV-1 reverse transcriptases: molecular docking and QSAR studies on 4, 1-benzoxazepinone analogues. J. Comput. Aided Mol. Des. 20(5): 281-293 (2006) - [c10]YeYu Xiao, XiaoKe Chen, Li Du, RenQuan Pei, FengYing Chen, GuoRui Liu, RenHua Wu:
The brain mapping on reinforcement acupuncture stimulation at ST36 (zusanli) evidenced by fMRI. EMBC 2006: 1036-1039 - [c9]Li Du, Qiying Hu:
Analysis of Bidding Behavior on eBay Auctions. ICEBE 2006: 33-38 - 2004
- [c8]Li Du, Qiying Hu, Wuyi Yue:
Performance analysis of sequential Internet auction systems comparing with fixed price case. ICC 2004: 1517-1521
1990 – 1999
- 1998
- [j3]G. Diwakar Vishakhadatta, Russell Croman, Marius Goldenberg, Jerrell P. Hein, Pradeep Katikaneni, Diana Kuai, Cathy Lee, Ion Constatin Tesu, Richard Trujillo, Ligang Zhang, Kent Anderson, Richard Behrens, William Bliss, Li Du, Trent Dudley, German Feyh, William Foland, Michael Kastner, Qingfen Li, Jeff Mitchem, David Reed, Sian She, Mark Spurbeck, Lisa Sundell, Hoai Tran, Maoxin Wei, Christopher Zook:
An EPR4 read/write channel with digital timing recovery. IEEE J. Solid State Circuits 33(11): 1851-1857 (1998) - 1997
- [c7]Li Du, Richard T. Behrens, Mark Spurbeck:
A Linearly Constrained Adaptive FIR Filter for Hard Disk Drive Read Channels. ICC (3) 1997: 1613-1617 - 1993
- [j2]Roger Munck-Fairwood, Li Du:
Shape using volumetric primitives. Image Vis. Comput. 11(6): 364-371 (1993) - [c6]Li Du, Geoffrey D. Sullivan, Keith D. Baker:
Quantitative analysis of the viewpoint consistency constraint in model-based vision. ICCV 1993: 632-639 - 1992
- [j1]Li Du, Geoffrey D. Sullivan, Keith D. Baker:
3D grouping by viewpoint consistency ascent. Image Vis. Comput. 10(5): 301-307 (1992) - [c5]Li Du, Geoffrey D. Sullivan, Keith D. Baker:
On Evidence Assessment for Model-based Recognition. BMVC 1992: 1-8 - [c4]Li Du, Geoffrey D. Sullivan, Keith D. Baker:
Modelling Data Complexity for Model-based Vision. BMVC 1992: 1-10 - 1991
- [c3]Li Du, Geoffrey D. Sullivan, Keith D. Baker:
3D Grouping by Viewpoint Consistency Ascent. BMVC 1991: 1-9 - 1990
- [c2]Shujun Zhang, Li Du, Geoffrey D. Sullivan, Keith D. Baker:
Model based 3D grouping by using 2D cues. BMVC 1990: 1-6
1980 – 1989
- 1989
- [c1]Li Du, Geoffrey D. Sullivan, Keith D. Baker:
Edge Detection at Junctions. Alvey Vision Conference 1989: 1-6
Coauthor Index
[j52] [j50] [j49] [j48] [j47] [j45] [j44] [c86] [c85] [c84] [c79] [c78] [i49] [i45] [i43] [i42] [i37] [i35] [j41] [j40] [j39] [j38] [j37] [j36] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c62] [c61] [c60] [c59] [i29] [j33] [j32] [j31] [j30] [c50] [c49] [c48] [c47] [c46] [c45] [c42] [c40] [c39] [c38] [i9] [j27] [c37] [c35] [c33] [j25] [j21] [j20] [j19] [c25] [j18] [i4] [i3] [i2]
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