| 2026 | ACL | DVI-DTM: Dual-View Representation Learning for Interpretable Short Text Dynamic Topic Modeling. | Di Liu, Zheng Fang, Bin Wu |
| 2026 | CHI | When Generative AI Is Intimate, Sexy, and Violent: Examining Not-Safe-For-Work (NSFW) Chatbots on FlowGPT. | Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu |
| 2026 | CHI | DOLLama: Fostering Family Anti-Bullying Learning through AI-Augmented, Toy-Mediated Educational Drama. | Di Liu, Zhenhao Zhang, Zhuoyi Zhang, Yufei Hu, Keming Jiao, Xueliang Li, Pengcheng An |
| 2026 | DATE | Towards Bit-Shareable Inference on Microcontrollers. | Charalampos Bezaitis, Yaman Umuroglu, Di Liu, Magnus Sjlander |
| 2026 | WACV | Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars. | Eric Ming Chen, Di Liu, Sizhuo Ma, Michael Vasilkovsky, Bing Zhou, Qiang Gao, Wenzhou Wang, Jiahao Luo, Dimitris N. Metaxas, Vincent Sitzmann, Jian Wang |
| 2026 | WACV | DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models. | Xiaoxiao He, Quan Dao, Ligong Han, Song Wen, Minhao Bai, Di Liu, Han Zhang, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Martin Renqiang Min, Kang Li, Faez Ahmed, Akash Srivastava, Hongdong Li, Junzhou Huang, Dimitris N. Metaxas |
| 2026 | WACV | Large Sign Language Models: Toward 3D American Sign Language Translation. | Sen Zhang, Xiaoxiao He, Di Liu, Zhaoyang Xia, Mingyu Zhao, Chaowei Tan, Vivian Li, Bo Liu, Dimitris N. Metaxas, Mubbasir Kapadia |
| 2025 | AAAI | Temporal Action Localization with Cross Layer Task Decoupling and Refinement. | Qiang Li, Di Liu, Jun Kong, Sen Li, Hui Xu, Jianzhong Wang |
| 2025 | ACL | VISIAR: Empower MLLM for Visual Story Ideation. | Zhaoyang Xia, Somdeb Sarkhel, Md. Mehrab Tanjim, Stefano Petrangeli, Ishita Dasgupta, Yuxiao Chen, Jinxuan Xu, Di Liu, Saayan Mitra, Dimitris N. Metaxas |
| 2025 | CHI | VRCaptions: Design Captions for DHH Users in Multiplayer Communication in VR. | Tianze Xie, Xuesong Zhang, Feiyu Huang, Di Liu, Pengcheng An, Seungwoo Je |
| 2025 | CogSci | Goldilocks Pattern of Learning after Observing Unexpected Physical Events. | Qiong Cao, Di Liu, Lisa Feigenson |
| 2025 | CogSci | Two paths to variation in semantic judgments: How ambiguity and conceptual diversity drive individual differences in meaning. | Di Liu, Raja Marjieh, Nori Jacoby, Robert D. Hawkins |
| 2025 | CogSci | Intrinsic relations impair abstract rule learning. | Di Liu, Zhiyan Wang, Justin Halberda, Kishore Kuchibhotla |
| 2025 | CVPR | LUCAS: Layered Universal Codec Avatars. | Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li, Jason M. Saragih, Dimitris N. Metaxas, Chen Cao |
| 2025 | CVPR | Show and Segment: Universal Medical Image Segmentation via In-Context Learning. | Yunhe Gao, Di Liu, Zhuowei Li, Yunsheng Li, Dongdong Chen, Mu Zhou, Dimitris N. Metaxas |
| 2025 | HPCC | Research on LoRa Signal Propagation Characteristics and Link Quality Assessment Methods in Campus Environments. | Shengli Pang, Di Liu, Fan Yang, Shiji Xu, Chan Hu, Honggang Wang |
| 2025 | HPCC | Optimization of LoRa Network Multi-Service MAC Protocol Based on DDQN. | Honggang Wang, Chan Hu, Xiaolei Liu, Di Liu, Ruoyu Pan, Shengli Pang |
| 2025 | ICA3PP | PPCPP: A Practical Payment Channel Model with Privacy Protection. | Haonan Huo, Di Liu, Jiarui Li, Guoyan Zhang |
| 2025 | ICASSP | Enhancing Continual Learning for Medical Imaging: Efficient Knowledge Transfer and Multi-Disease Prediction. | Enzhi Wang, Qicheng Li, Di Liu, Bo Yang |
| 2025 | ICCV | T2Bs: Text-to-Character Blendshapes via Video Generation. | Jiahao Luo, Chaoyang Wang, Michael Vasilkovsky, Vladislav Shakhrai, Di Liu, Peiye Zhuang, Sergey Tulyakov, Peter Wonka, Hsin-Ying Lee, James Davis, Jian Wang |
| 2025 | ICLR | Implicit In-context Learning. | Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas |
| 2025 | ICLR | Improved Training Technique for Latent Consistency Models. | Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris N. Metaxas |
| 2025 | ICML | The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering. | Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas |
| 2025 | IJCAI | Learning Causally Disentangled Representations for Fair Personality Detection. | Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li, Bin Wu |
| 2024 | ASPDAC | Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. | Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu |
| 2024 | CHI | "When He Feels Cold, He Goes to the Seahorse" - Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy. | Di Liu, Hanqing Zhou, Pengcheng An |
| 2024 | CogSci | Cognitive diversity in context: US-China differences in children's reasoning, visual attention, and social cognition. | Alexandra Carstensen, Anjie Cao, Alvin Wei Ming Tan, Di Liu, Yichun Liu, Minh Khong Bui, Jiayi Wang-Zhao, Ai Nghi Diep, Qi Han, Michael C. Frank, Caren M. Walker |
| 2024 | CSCW | FlowGPT: Exploring Domains, Output Modalities, and Goals of Community-Generated AI Chatbots. | Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu |
| 2024 | CVPR | Instantaneous Perception of Moving Objects in 3D. | Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker |
| 2024 | CVPR | Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. | Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan |
| 2024 | DAC | Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems. | Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Weichen Liu |
| 2024 | EACL | Large Language Models for Mathematical Reasoning: Progresses and Challenges. | Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin |
| 2024 | EMNLP | AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models. | Yuting Wei, Yuanxing Xu, Xinru Wei, Simin Yang, Yangfu Zhu, Yuqing Li, Di Liu, Bin Wu |
| 2024 | HPCC | Achieving High Energy Efficiency for Network Slicing-Enabled 5G O-RAN Base Stations. | Yuehan Liu, Leyu Zhao, Jingtong Wu, Di Liu, Xiaojun Hei |
| 2024 | ICCD | Integrating Branching and Pruning for Efficient Hyperdimensional Computing. | Jing Liu, Zhiqian Guan, Di Liu, Shengfa Miao, Fei Dai |
| 2024 | MICCAI | Image Quality Assessment with Model Fusion for Ultra-widefield Fundus. | Bo Yang, Yangyang Yan, Di Liu, Qicheng Li, Yue Zhang |
| 2024 | MICCAI | AI Algorithm for Ultra-widefield Fundus Imaging for Diabetic Retinopathy - RDR, DME. | Bo Yang, Yue Zhang, Di Liu, Qicheng Li, Yangyang Yan |
| 2024 | WCNC | BROAD: Joint Beamwidth and Path Optimization for Energy-Efficient UAV-Assisted Data Collection. | Aolin Zhang, Di Liu, Tianhao Li, Xin Cui, Kuangyu Zheng |
| 2024 | WACV | Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. | Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris N. Metaxas |
| 2024 | WACV | Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. | Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas |
| 2024 | WACV | ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. | Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas |
| 2023 | ASPDAC | MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. | Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu |
| 2023 | ASPDAC | Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. | Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam |
| 2023 | CogSci | Cognitive diversity in context: US-China developmental trajectories on 4 tasks in 3-12yos. | Alexandra Carstensen, Anjie Cao, Alvin Wei Ming Tan, Di Liu, Yichun Liu, Minh Khong Bui, Jiayi Wang-Zhao, Qi Han, Caren M. Walker, Michael C. Frank |
| 2023 | CVPR | Improving Generalization with Domain Convex Game. | Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu |
| 2023 | DAC | Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. | Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu |
| 2023 | DATE | EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. | Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu |
| 2023 | GLOBECOM | User Allocation in NOMA-Based Edge Computing Environment. | Congcong Dai, Shaohua Cao, Zijun Zhan, Di Liu, Danyang Zheng |
| 2023 | ICANN | TableSF: A Structural Bias Framework for Table-To-Text Generation. | Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2023 | ICASSP | Multi-Layer Seasonal Perception Network for Time Series Forecasting. | Ruoshu Wang, Shengfa Miao, Di Liu, Xin Jin, Weisheng Zhang |
| 2023 | ICCV | DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. | Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas |
| 2023 | KDD | Meta Graph Learning for Long-tail Recommendation. | Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang |
| 2023 | MICCAI | Genetic Algorithm Enhanced nnU-Net for the MICCAI KiTS23 Challenge. | Tao Li, Di Liu, Bo Yang, Yifan Li, Cheng Zhen |
| 2023 | MICCAI | Self-supervised Learning and Data Diversity Based Prediction of Spherical Equivalent. | Di Liu, Li Wei, Bo Yang |
| 2023 | PRICAI | Few-Shot Table-to-Text Generation with Structural Bias Attention. | Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2023 | TrustCom | FPHammer: A Device Identification Framework based on DRAM Fingerprinting. | Dawei Li, Di Liu, Yangkun Ren, Ziyi Wang, Yu Sun, Zhenyu Guan, Qianhong Wu, Jianwei Liu |
| 2022 | ASPDAC | HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. | Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam |
| 2022 | ASPDAC | Efficient On-Device Incremental Learning by Weight Freezing. | Ze-Han Wang, Zhenli He, Hui Fang, Yi-Xiong Huang, Ying Sun, Yu Yang, Zhi-Yuan Zhang, Di Liu |
| 2022 | CIKM | Dynamic Hypergraph Learning for Collaborative Filtering. | Chunyu Wei, Jian Liang, Bing Bai, Di Liu |
| 2022 | CVPR | Causality Inspired Representation Learning for Domain Generalization. | Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu |
| 2022 | DAC | You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. | Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu |
| 2022 | DATE | Once For All Skip: Efficient Adaptive Deep Neural Networks. | Yu Yang, Di Liu, Hui Fang, Yi-Xiong Huang, Ying Sun, Zhi-Yuan Zhang |
| 2022 | ICCAD | Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. | Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin |
| 2022 | ICCD | Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. | Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin |
| 2022 | IJCAI | Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting. | Shubao Zhao, Jia Liu, Guoliang Ma, Jie Yang, Di Liu, Zengxiang Li |
| 2022 | KSEM | PUF-Based Intellectual Property Protection for CNN Model. | Dawei Li, Yangkun Ren, Di Liu, Zhenyu Guan, Qianyun Zhang, Yanzhao Wang, Jianwei Liu |
| 2022 | MICCAI | DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. | Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas |
| 2022 | MICCAI | TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. | Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas |
| 2022 | MICCAI | Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. | Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas |
| 2021 | DAC | ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. | Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam |
| 2021 | DATE | HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. | Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu |
| 2021 | ICCAD | Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs. | Shiqing Li, Di Liu, Weichen Liu |
| 2021 | IECON | Plug-and-play adaptation in autopilot architectures for unmanned aerial vehicles. | Peng Li, Di Liu, Simone Baldi |
| 2021 | ISPA | Unified Authentication Scheme for IoT Blockchain Based on PUF. | Dawei Li, Yingxian Song, Lixin Zhang, Di Liu, Baoquan Ma, Zhenyu Guan |
| 2021 | ISPA | Secure Vehicle Platooning Protocol for 5G C-V2X. | Feifei Liu, Di Liu, Yu Sun, Dawei Li, Jian Cui, Zhenyu Guan, Jianwei Liu |
| 2021 | SAC | Partial order based non-preemptive communication scheduling towards real-time networks-on-chip. | Peng Chen, Hui Chen, Jun Zhou, Di Liu, Shiqing Li, Weichen Liu, Wanli Chang, Nan Guan |
| 2020 | ICCD | EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems. | Xiangzhong Luo, Di Liu, Hao Kong, Weichen Liu |
| 2020 | IECON | On recursive temporal difference and eligibility traces. | Simone Baldi, Di Liu, Zichen Zhang |
| 2020 | IGARSS | Extracting Vehicles in Point Clouds of Underground Parking Lots Based on Graph Convolution. | Di Liu, Zhipeng Luo, Zhenlong Xiao, Jonathan Li |
| 2020 | WCNC | Joint Offloading and Resource Allocation for Time-Sensitive Multi-Access Edge Computing Network. | Jun-Jie Yu, Mingxiong Zhao, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng |
| 2019 | DATE | Analyzing GEDF Scheduling for Parallel Real-Time Tasks with Arbitrary Deadlines. | Xu Jiang, Nan Guan, Di Liu, Weichen Liu |
| 2019 | ICIP | Two-Stream Refinement Network for RGB-D Saliency Detection. | Di Liu, Yaosi Hu, Kao Zhang, Zhenzhong Chen |
| 2019 | ICNC | DTR: A Novel Topic Generate Algorithm Based on Dbscan and TextRank. | Yingbao Cui, Di Liu, Qiang Li, Zhen Qiu, Xusheng Yang |
| 2019 | ICNC | Public Sentiment Monitoring and Early-Warning for Enterprise. | Zhen Qiu, Di Liu, Qiyuan Wang, Yingbao Cui, Xusheng Yang |
| 2019 | ISNN | Broad Learning for Optimal Short-Term Traffic Flow Prediction. | Di Liu, Wenwu Yu, Simone Baldi |
| 2019 | RTAS | Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. | Zhishan Guo, Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan |
| 2018 | ICONIP | Averaged-A3C for Asynchronous Deep Reinforcement Learning. | Song Chen, Xiaofang Zhang, Jin-Jin Wu, Di Liu |
| 2018 | SERA | Brain Tumor Segmention Based on Dilated Convolution Refine Networks. | Di Liu, Hao Zhang, Mingming Zhao, Xiaojuan Yu, Shaowen Yao, Wei Zhou |
| 2016 | DATE | Exploiting resource-constrained parallelism in hard real-time streaming applications. | Jelena Spasic, Di Liu, Todor P. Stefanov |
| 2016 | IGARSS | Construction and application of the diagnostic indicator system of wetland health based on remote sensing. | Chunying Wu, Chunxiang Cao, Wei Chen, Rong Tian, Di Liu |
| 2016 | RTSS | EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees. | Di Liu, Jelena Spasic, Nan Guan, Gang Chen, Songran Liu, Todor P. Stefanov, Wang Yi |
| 2016 | RTCSA | Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting. | Di Liu, Jelena Spasic, Peng Wang, Todor P. Stefanov |
| 2014 | DATE | Resource optimization for CSDF-modeled streaming applications with latency constraints. | Di Liu, Jelena Spasic, Jiali Teddy Zhai, Todor P. Stefanov, Gang Chen |
| 2014 | FCCM | Abstract: Shared L2 Cache Management in Multicore Real-Time System. | Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Di Liu |
| 2013 | IGARSS | Monitoring the dynamics of forest area in Anshan based on TM images. | Di Liu, Chunxiang Cao, Min Xu, Yuxing Zhang, Guangren Ma |
| 2010 | CW | Improvement of Speech Source Localization in Noisy Environment Using Overcomplete Rational-Dilation Wavelet Transforms. | Di Liu, Andy W. H. Khong |
| 2010 | ICWSM | User Interest and Interaction Structure in Online Forums. | Di Liu, Daniel Percival, Stephen E. Fienberg |
| 2008 | BIBE | Local-based fuzzy clustering for segmentation of MR brain images. | Jianzhong Wang, Lili Dou, Na Che, Di Liu, Baoxue Zhang, Jun Kong |
| 2008 | BIBE | Graph theory based algorithm for magnetic resonance brain images segmentation. | Jianzhong Wang, Di Liu, Lili Dou, Baoxue Zhang, Jun Kong, Yinghua Lu |
| 2004 | ICPR | Combination of Wavelet Analysis and Color Applied to Automatic Color Grading of Ceramic Tiles. | Jiaoyan Ai, Di Liu, Xuefeng Zhu |
| 2003 | CEC | Application of immunological memory to the color classification of tiles. | Di Liu, Xuefeng Zhu |