| 2026 | ACL | AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce. | Biao Zhang, Lixin Chen, Bin Zhang, Zongwei Wang, Tong Liu, Bo Zheng |
| 2026 | DATE | CHIP-MAP: A Collaborative Optimization Framework for Macro Placement Using Large Language Models. | Yiming Du, Renye Yan, Yunfan Yang, Frank Qu, Jiajun Tan, ZhiYu Zheng, Yiming Gan, Ling Liang, Zongwei Wang, Yimao Cai |
| 2026 | DATE | GMaC: NvCIM Architecture for Parallel Point-based Point Cloud Acceleration via Geometric Mapping and Address-Index Computation. | Yi Gao, Zongwei Wang, Ling Liang, Yimao Cai |
| 2026 | DATE | SONIC: Smart Optimization for Neural-Integrated CMP with Timing-Aware Fills. | Jiajun Tan, Qichao Ma, Yiming Du, Yiming Gan, Ling Lang, Yibo Lin, Ming Zhu, Zongwei Wang, Yimao Cai |
| 2026 | ISCA | DIAMoND: Dynamic Inference for Adaptive Edge MOE with Heterogeneous In-NAND and Near-DRAM Compute Architecture. | Ling Liang, Tianyang Luo, Shuzhang Zhong, Dongxue Zhao, Qichao Ma, Renjie Wei, Jingyu Wang, Meng Li, Guangyu Sun, Zongwei Wang, Yimao Cai |
| 2026 | ISCAS | A Sparsity-Aware Reconfigurable Sensing-Quantization Circuit for RRAM-Based Analog Compute-in-Memory. | Zhuoya Chen, Hao Ding, Yunfan Yang, Haisu Zhang, Jinshan Li, Shigeng Zhao, Yunyi Fu, Zongwei Wang, Yimao Cai |
| 2026 | ISCAS | An IZO-Based 2T0C Compute-in-Memory Array with Adaptive Read Voltage Boosting for Energy-Efficient Edge AI. | Hao Ding, Jiye Li, Xiantong Qiu, Yunfan Yang, Gaoqi Yang, Jingwei Sun, Lei Lu, Shengdong Zhang, Zongwei Wang, Yimao Cai |
| 2026 | ISCAS | A Near-Sensor Image Compression Architecture with RRAM-based Hyperdimensional Encoder for Smart Vision. | Haoyang Gu, Zheng Zhou, Zongwei Wang, Jingshan Li, Zezhi Chen, Ling Liang, Wengao Lu, Yimao Cai |
| 2026 | ISCAS | RRAM-based CAM for Energy-Efficient In-Memory Text Compression System. | Lianliang Wu, Hao Ai, Yiyang Chen, Ao Shi, Siyuan Chen, Haokai Guan, Nan Tang, Yi Xiao, Kexun Li, Kefan Tao, Yulin Feng, Zongwei Wang, Yimao Cai, Peng Huang |
| 2026 | ISCAS | A 1.8-ns, 45fJ/bit Time-Domain Sensing Scheme with Offset-Cancelled Resistance-to-Time Converter and 10 | Shigeng Zhao, Hao Ding, Yunfan Yang, Jinshan Li, Zhuoya Chen, Xing Zhang, Zongwei Wang, Yimao Cai |
| 2026 | ISCAS | Efficient LoRA-Based Weight Update Write-Back in 3D NAND Flash for Large Language Models. | Dongxue Zhao, Tianyang Luo, Ling Liang, Zongwei Wang, Yimao Cai |
| 2026 | WWW | Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection. | Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin |
| 2026 | WWW | PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. | Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin |
| 2026 | SIGIR | Generative Bid Shading in Real-Time Bidding Advertising. | Yinqiu Huang, Hao Ma, Wenshuai Chen, Zongwei Wang, Shuli Wang, Yongqiang Zhang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang |
| 2026 | SIGIR | Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems. | Yuchuan Zhao, Tong Chen, Junliang Yu, Zongwei Wang, Lizhen Cui, Hongzhi Yin |
| 2025 | CIKM | Linking Ordered and Orderless Modeling for Sequential Recommendation. | Sijia Li, Min Gao, Zongwei Wang, Yibing Bai, Wuhan Chen |
| 2025 | CIKM | Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models. | Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai |
| 2025 | CIKM | Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders. | Lei Zhou, Min Gao, Zongwei Wang, Yibing Bai |
| 2025 | IJCAI | FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting. | Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang |
| 2025 | ISCAS | SA-CIM: A 28nm 16Mb RRAM-based Sparsity-Aware Compute-In-Memory Macro for Edge AI Algorithm Processing. | Hao Ding, Zongwei Wang, Jinshan Li, Shigeng Zhao, Heting Gao, Junbo Ao, Ling Liang, Yimao Cai, Ru Huang |
| 2025 | ISCAS | HRC-CIM: Hybrid RRAM-Capacitor Cell based Compute-in-Memory with High Linearity, Parallelism and Energy Efficiency. | Jinshan Li, Zongwei Wang, Hao Ding, Yunfan Yang, Shigeng Zhao, Shengyu Bao, Jingwei Sun, Ruiqing Xie, Zhuoya Chen, Yimao Cai, Ru Huang |
| 2025 | KDD | Progressive Stacking for Scalable Graph Condensation. | Yibing Bai, Min Gao, Zongwei Wang, Xinyi Gao, Wentao Li |
| 2025 | WWW | Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. | Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang |
| 2025 | SIGIR | ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. | Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin |
| 2025 | WSDM | Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. | Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao |
| 2024 | ICASSP | Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation. | Yunhang Yao, Min Gao, Hongwei Zhou, Zongwei Wang, Zehua Zhao, Qingyu Xiong |
| 2024 | KDD | Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. | Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq |
| 2023 | IJCNN | Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning. | Renye Yan, Zhe Wu, Yuan Zhan, Pin Tao, Zongwei Wang, Yimao Cai, Junliang Xing |
| 2023 | ICTAI | What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. | Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li |
| 2023 | KDD | Efficient Bi-Level Optimization for Recommendation Denoising. | Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin |
| 2022 | WSDM | ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. | Liang Zhao, Min Gao, Zongwei Wang |
| 2021 | ISCAS | A High Accuracy Multiple-Command Speech Recognition ASIC Based on Configurable One-Dimension Convolutional Neural Network. | Lindong Wu, Zongwei Wang, Ming Zhao, Wei Hu, Yimao Cai, Ru Huang |
| 2020 | DAC | Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks. | Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li |
| 2020 | ICCAD | MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block. | Qilin Zheng, Xingchen Li, Zongwei Wang, Guangyu Sun, Yimao Cai, Ru Huang, Yiran Chen, Hai Li |
| 2019 | ICONIP | DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation. | Xinyi Wang, Min Gao, Zhenni Lu, Zongwei Wang, Junwei Zhang, Yi Zhang |
| 2019 | ISCAS | Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse. | Qilin Zheng, Jian Kang, Zongwei Wang, Yimao Cai, Ru Huang, Bing Li, Yiran Chen, Hai Helen Li |
| 2019 | PAKDD | A Minimax Game for Generative and Discriminative Sample Models for Recommendation. | Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong |
| 2018 | CVPR | Face Aging With Identity-Preserved Conditional Generative Adversarial Networks. | Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao |