| 2026 | AAAI | Scaling Towards the Information Boundary of Instructions through Data Synthesizing. | Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan |
| 2026 | AAAI | Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. | Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Dan Wang, Yuan Du |
| 2026 | AAAI | MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation. | Rongyu Zhang, Menghang Dong, Yuan Zhang, Liang Heng, Xiaowei Chi, Gaole Dai, Li Du, Dan Wang, Yuan Du, Shanghang Zhang |
| 2026 | ACL | Large Language Models Are Still Misled by Simple Bias Ensembles. | Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Bibo Cai, Yang Zhao, Bing Qin, Ting Liu |
| 2026 | ACL | Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration. | Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu |
| 2026 | ACL | MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization. | Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu |
| 2026 | DATE | CD-PIM: A High-Bandwidth and Compute-Efficient LPDDR5-Based PIM for Low-Batch LLM Acceleration on Edge-Device. | Ye Lin, Chao Fang, Xiaoyong Song, Qi Wu, Anying Jiang, Yichuan Bai, Li Du |
| 2026 | DATE | A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems. | Qi Wu, Chao Fang, Jiayuan Chen, Ye Lin, Yueqi Zhang, Yichuan Bai, Yuan Du, Li Du |
| 2026 | EACL | LLMs Know More About Numbers than They Can Say. | Fengting Yuchi, Li Du, Jason Eisner |
| 2026 | ISCAS | UniMAC: Multi-Precision MAC with a Unified Computing Architecture for Efficient Large Language Model Inference. | Xiao Cong, Xingyuan Hu, Juntao Liu, Xulong Zhang, Haoran Geng, Qi Wu, Yuan Du, Li Du |
| 2026 | ISCAS | A 30Gb/s/pin PAM3 Single-Ended Transceiver with Crosstalk-Cancelling Coding for Memory Interfaces. | Qian Liu, Yiheng Hui, Yiwei Xu, Zhiqiang Zhang, Li Du, Yuan Du |
| 2026 | ISCAS | A Compilation Framework for Domain Specific Multi-Chiplet Systems with Double-Layer Genetic Algorithms. | Qi Wu, Yichuan Bai, Chao Fang, Yuan Du, Li Du |
| 2025 | AAAI | PAT: Pruning-Aware Tuning for Large Language Models. | Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du |
| 2025 | AAAI | Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency. | Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan |
| 2025 | ACL | Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. | Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu |
| 2025 | ACL | Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns. | Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2025 | ACL | Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. | Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu |
| 2025 | DAC | Delving into Topology Representation for Layout Pattern: A Novel Contrastive Learning Framework for Hotspot Detection. | Silin Chen, Kangjian Di, Guohao Wang, Wenzheng Zhao, Li Du, Ningmu Zou |
| 2025 | EMNLP | Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch. | Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu |
| 2025 | ICCAD | DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits. | Chengjie Liu, Jiajia Li, Yabing Feng, Wenhao Huang, Weiyu Chen, Yuan Du, Jun Yang, Li Du |
| 2025 | ICLR | Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. | Joo Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell |
| 2025 | ICLR | SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. | Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang |
| 2025 | IJCAI | FBQuant: FeedBack Quantization for Large Language Models. | Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du |
| 2025 | ICRA | SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation. | Jianing Li, Ming Lu, Juntao Liu, Hao Wang, Chenyang Gu, Wenzhao Zheng, Li Du, Shanghang Zhang |
| 2025 | ISCAS | A 65nm 100MS/s-400MS/s Multi-Column SAR/SS ADC with Reconfigurable 2-8 Bit Resolution for Optical and In-memory Computing. | Anying Jiang, Ye Lin, Jiayuan Chen, Wenhe Yin, Yize Wang, Mingqian Yang, Li Du, Yuan Du |
| 2024 | AAAI | BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials. | Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang |
| 2024 | ACL | When is a Language Process a Language Model? | Li Du, Holden Lee, Jason Eisner, Ryan Cotterell |
| 2024 | ACL | Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges. | Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Xiaofan Zhang, Shaoting Zhang |
| 2024 | ACL | Causal-Guided Active Learning for Debiasing Large Language Models. | Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin |
| 2024 | ACL | Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. | Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin |
| 2024 | COLING | Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. | Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin |
| 2024 | CVPR | PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. | Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang |
| 2024 | ICALT | The Current Situation and Enhancement Strategies of Teachers' Core Literacy in Township Secondary School under Smart Learning Environments. | Jiachao Wei, Li Du, Yuchen Gou |
| 2024 | ICML | Principled Gradient-Based MCMC for Conditional Sampling of Text. | Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell |
| 2024 | ICML | SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic. | Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du |
| 2024 | ISCAS | Optoelectronic Computing Evaluation and Deployment Platform Based on a 256-MAC Silicon Photonic Chip. | Likai Li, Yichuan Bai, Shengping Liu, Yang Zhao, Sunan He, Yaqing Li, Li Du, Yuan Du |
| 2023 | ACL | Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. | Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu |
| 2023 | ACL | A Measure-Theoretic Characterization of Tight Language Models. | Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell |
| 2023 | ACL | Tokenization and the Noiseless Channel. | Vilm Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | ACL | A Formal Perspective on Byte-Pair Encoding. | Vilm Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | CVPR | NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. | Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang |
| 2023 | DAC | CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. | Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang |
| 2023 | EMNLP | On the Representational Capacity of Recurrent Neural Language Models. | Franz Nowak, Anej Svete, Li Du, Ryan Cotterell |
| 2023 | ICCV | QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. | Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang |
| 2023 | ICIP | Siamese Network Representation for Active Learning. | Jianing Li, Yuan Du, Li Du |
| 2023 | ISCAS | Characterization of Charge-Trap-Transistor (CTT) Threshold Voltage Degradation and Differential-Pair-Based Memory Design. | Zhichao Chen, Yang Xiao, Li Du, Yuan Du |
| 2022 | AAAI | Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. | Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu |
| 2022 | ACL | A Graph Enhanced BERT Model for Event Prediction. | Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin |
| 2022 | ACL | e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. | Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2022 | COLING | CogBERT: Cognition-Guided Pre-trained Language Models. | Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu |
| 2022 | EMNLP | Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. | Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei |
| 2022 | EMNLP | ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. | Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai |
| 2022 | ICRA | Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. | Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang |
| 2022 | ISCAS | A 3-8bit Reconfigurable Hybrid ADC Architecture with Successive-approximation and Single-slope Stages for Computing in Memory. | Wuyu Fan, Yuandong Li, Li Du, Likai Li, Yuan Du |
| 2022 | ISCAS | Deep Neural Network Interlayer Feature Map Compression Based on Least-Squares Fitting. | Chenjia Xie, Zhuang Shao, Hang Xu, Xiaoliang Chen, Li Du, Yuan Du, Zhongfeng Wang |
| 2022 | ISCAS | An X-band Phase Detector Based on Quadrature Modulation in 28-nm CMOS. | Chengqiang Zhao, Wuyu Fan, Jingjing Lv, Li Du, Yuan Du |
| 2021 | ACL | Learning Event Graph Knowledge for Abductive Reasoning. | Li Du, Xiao Ding, Ting Liu, Bing Qin |
| 2021 | ACL | ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. | Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2021 | EMNLP | Neural Natural Logic Inference for Interpretable Question Answering. | Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin |
| 2021 | ISCAS | A DNN Optimization Framework with Unlabeled Data for Efficient and Accurate Reconfigurable Hardware Inference. | Kai Chen, Yimin Huang, Yuan Du, Zhuang Shao, Xingyu Gu, Li Du, Zhongfeng Wang |
| 2020 | ICLR | The Curious Case of Neural Text Degeneration. | Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi |
| 2019 | EMNLP | Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. | Li Du, Xiao Ding, Ting Liu, Zhongyang Li |
| 2019 | ICASSP | Jointly Predicting Future Sequence and Steering Angles for Dynamic Driving Scenes. | Li Du, Zhicheng Zhao, Fei Su, Leiquan Wang, Chaohong An |
| 2019 | VCIP | An End-to-End Future Frame Prediction Method for Vehicle-Centric Driving Videos. | Li Du, Kaikun Ji, Zhicheng Zhao, Fei Su, Bojin Zhuang |
| 2016 | DAC | Invited - Airtouch: a novel single layer 3D touch sensing system for human/mobile devices interactions. | Li Du, Chun-Chen Liu, Adrian Tang, Yan Zhang, Yilei Li, Kye Cheung, Mau-Chung Frank Chang |
| 2014 | ICPADS | A fine-grained indoor localization using multidimensional Wi-Fi fingerprinting. | Deng Chen, Li Du, Zhiping Jiang, Wei Xi, Jinsong Han, Kun Zhao, Jizhong Zhao, Zhi Wang, Rui Li |
| 2014 | IECON | Current sharing model of parallel connected IGBTs during turn-on. | Yawei Xiao, Qinwei Liu, Yunyu Tang, Li Du, Hao Ma |
| 2008 | GLOBECOM | Media Defect Recovery Using Full-Response Reequalization in Magnetic Recording Channels. | Weijun Tan, Shaohua Yang, Kelly Fitzpatrick, Hao Zhong, Li Du, Yuanxing Lee |
| 2007 | HCI | A Review of Possibilistic Approaches to Reliability Analysis and Optimization in Engineering Design. | Li-Ping He, Hong-Zhong Huang, Li Du, Xu-Dong Zhang, Qiang Miao |
| 1993 | ICCV | Quantitative analysis of the viewpoint consistency constraint in model-based vision. | Li Du, Geoffrey D. Sullivan, Keith D. Baker |
| 1992 | BMVC | On Evidence Assessment for Model-based Recognition. | Li Du, Geoffrey D. Sullivan, Keith D. Baker |
| 1992 | BMVC | Modelling Data Complexity for Model-based Vision. | Li Du, Geoffrey D. Sullivan, Keith D. Baker |
| 1991 | BMVC | 3D Grouping by Viewpoint Consistency Ascent. | Li Du, Geoffrey D. Sullivan, Keith D. Baker |
| 1990 | BMVC | Model based 3D grouping by using 2D cues. | Shujun Zhang, Li Du, Geoffrey D. Sullivan, Keith D. Baker |
| 1989 | BMVC | Edge Detection at Junctions. | Li Du, Geoffrey D. Sullivan, Keith D. Baker |