| 2026 | AAAI | SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication. | Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen |
| 2026 | ACL | Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation. | Hao Li, Jiayang Gu, Jingkuan Song, An Zhang, Lianli Gao |
| 2026 | COCOON | Improved Algorithms for the Maximum Weight Star Packing Problem. | Shiming Li, Yong Chen, Zhaohui Liu, Wei Yu, An Zhang |
| 2026 | ICALP | Near-Tight Approximation Algorithms for Bottleneck Multiple Knapsack Problems. | Lin Chen, Tingwei Hu, Yuchen Mao, Yong Chen, Lili Mei, An Zhang, Guangting Chen, Guochuan Zhang |
| 2026 | INFOCOM | LossLens: Robust Byte-level TCP Loss Detection at the Datacenter Gateway. | Rui Ding, Zikang Feng, An Zhang, Yuchen Song, Qun Huang, Luyou He, Yian Liu, Lihua Miao, Yaojing Wang |
| 2025 | ACL | Neuron-Level Sequential Editing for Large Language Models. | Houcheng Jiang, Junfeng Fang, Tianyu Zhang, Baolong Bi, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang |
| 2025 | ACL | Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. | Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | ACL | MPO: Multilingual Safety Alignment via Reward Gap Optimization. | Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | CIKM | Towards Large Generative Recommendation: A Tokenization Perspective. | Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | CIKM | The 1st Workshop on LLM Agents for Social Simulation. | Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen |
| 2025 | EMNLP | LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. | Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang |
| 2025 | EMNLP | AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. | Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | ICLR | Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. | Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua |
| 2025 | ICLR | Preference Diffusion for Recommendation. | Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua |
| 2025 | ICLR | Language Representations Can be What Recommenders Need: Findings and Potentials. | Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua |
| 2025 | ISAAC | Maximizing Social Welfare Among EF1 Allocations at the Presence of Two Types of Agents. | Jiaxuan Ma, Yong Chen, Guangting Chen, Mingyang Gong, Guohui Lin, An Zhang |
| 2025 | KDD | Measuring Item Freshness in Data Streams. | Zirui Liu, Zihan Jiang, An Zhang, Zhouran Shi, Yuxuan Tian, Tong Yang |
| 2025 | KDD | LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. | Yingzhi He, Xiaohao Liu, An Zhang, Yunshan Ma, Tat-Seng Chua |
| 2025 | NAACL | Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. | Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua |
| 2025 | WWW | Generative Recommendation Models: Progress and Directions. | Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | WWW | Personalized Recommendation Agents with Self-Consistency. | Zijing Wu, Leheng Sheng, Yuanlin Xia, Yi Zhang, Yuxin Chen, An Zhang |
| 2025 | SIGIR | AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. | Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang |
| 2025 | WALCOM | Approximation Algorithms for Non-sequential Star Packing Problems. | Mengyuan Hu, An Zhang, Yong Chen, Mingyang Gong, Guohui Lin |
| 2024 | ACL | ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. | Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua |
| 2024 | ACL | ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. | Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua |
| 2024 | COCOA | Competitive Algorithms for Online Traveling Salesman Problem on a Semi-line. | Qian Liu, An Zhang, Kai Wang, Yong Chen, Guangting Chen |
| 2024 | COCOA | On the Inapproximability of Two-machine Open Shop Scheduling with Exact Delays. | Shunzhang Lu, An Zhang, Mengyuan Hu, Yong Chen, Guangting Chen |
| 2024 | ECCV | Disentangling Masked Autoencoders for Unsupervised Domain Generalization. | An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua |
| 2024 | SMC | A Target Trajectory Prediction Method in Air Combat Based on Wavelet-Attention-GRU Under the Frenet Frame. | An Zhang, Zeming Mao, Haiyu Xu, Qiucen Fan, Wenhao Bi, Yuwen Yan |
| 2024 | WWW | General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. | An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang |
| 2024 | WWW | Large Language Model Powered Agents in the Web. | Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | WWW | TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. | Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou |
| 2024 | SIGIR | Large Language Model Powered Agents for Information Retrieval. | An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | SIGIR | On Generative Agents in Recommendation. | An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua |
| 2023 | EMNLP | ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. | Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang |
| 2023 | ICLR | Boosting Causal Discovery via Adaptive Sample Reweighting. | An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua |
| 2023 | KDD | Discovering Dynamic Causal Space for DAG Structure Learning. | Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua |
| 2023 | WWW | Invariant Collaborative Filtering to Popularity Distribution Shift. | An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua |
| 2023 | WSDM | Cooperative Explanations of Graph Neural Networks. | Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua |
| 2022 | ICLR | Discovering Invariant Rationales for Graph Neural Networks. | Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua |
| 2022 | ICML | Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. | Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua |
| 2022 | KDD | CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. | Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua |
| 2021 | COCOA | Approximation Algorithms for Two Parallel Dedicated Machine Scheduling with Conflict Constraints. | An Zhang, Liang Zhang, Yong Chen, Guangting Chen, Xing Wang |
| 2021 | FAW | Approximation Algorithms for the Directed Path Partition Problems. | Yong Chen, Zhi-Zhong Chen, Curtis Kennedy, Guohui Lin, Yao Xu, An Zhang |
| 2020 | AAIM | Improved Hardness and Approximation Results for Single Allocation Hub Location. | Xing Wang, Guangting Chen, Yong Chen, Guohui Lin, Yonghao Wang, An Zhang |
| 2020 | SMC | Parallel Image Scaling Density-based Clustering. | Wenhao Bi, An Zhang, Fei Gao |
| 2020 | SIGIR | Disentangled Graph Collaborative Filtering. | Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua |
| 2020 | TAMC | Acyclic Edge Coloring Conjecture Is True on Planar Graphs Without Intersecting Triangles. | Qiaojun Shu, Yong Chen, Shuguang Han, Guohui Lin, Eiji Miyano, An Zhang |
| 2019 | COCOA | A Randomized Approximation Algorithm for Metric Triangle Packing. | Yong Chen, Zhi-Zhong Chen, Guohui Lin, Lusheng Wang, An Zhang |
| 2019 | COCOA | Approximation Algorithms for Maximally Balanced Connected Graph Partition. | Yong Chen, Zhi-Zhong Chen, Guohui Lin, Yao Xu, An Zhang |
| 2019 | FAW | A Local Search 4/3-approximation Algorithm for the Minimum 3-path Partition Problem. | Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang |
| 2019 | ISAAC | A 21/16-Approximation for the Minimum 3-Path Partition Problem. | Yong Chen, Randy Goebel, Bing Su, Weitian Tong, Yao Xu, An Zhang |
| 2019 | SMC | Finite-time consensus of second-order multi-agent systems with time-delay and connectivity preservation. | Ding Zhou, An Zhang, Pan Yang, Mi Yang |
| 2018 | AAIM | Approximation Algorithms and a Hardness Result for the Three-Machine Proportionate Mixed Shop. | Longcheng Liu, Guanqun Ni, Yong Chen, Randy Goebel, Yue Luo, An Zhang, Guohui Lin |
| 2018 | APWEB | Enabling Concurrency on Smart Contracts Using Multiversion Ordering. | An Zhang, Kunlong Zhang |
| 2018 | COCOA | Open-Shop Scheduling for Unit Jobs Under Precedence Constraints. | An Zhang, Yong Chen, Randy Goebel, Guohui Lin |
| 2018 | COCOON | Approximation Algorithms for Two-Machine Flow-Shop Scheduling with a Conflict Graph. | Yinhui Cai, Guangting Chen, Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, An Zhang |
| 2017 | COCOA | Combinatorial Approximation Algorithms for Spectrum Assignment Problem in Chain and Ring Networks. | Guangting Chen, Lei Zhang, An Zhang, Yong Chen |
| 2013 | ICNC | Cooperative target assignment for unmanned combat aerial vehicles based on Bayesian optimization algorithm with decision graphs. | Lu Cao, An Zhang |
| 2011 | AAIM | Single Machine Scheduling with an Operator Non-availability Period to Minimize Total Completion Time. | Yong Chen, An Zhang, Zhiyi Tan |
| 2011 | COCOON | Optimal Online Algorithms on Two Hierarchical Machines with Resource Augmentation. | Yiwei Jiang, An Zhang, Jueliang Hu |
| 2009 | COCOA | A Mathematical Programming Approach for Online Hierarchical Scheduling. | Zhiyi Tan, An Zhang |
| 2009 | IGARSS | How to Decide the Units of Drainage Pattern of Generalization. | Lili Jiang, Qingwen Qi, An Zhang |
| 2008 | IGARSS | CNGI based Resource & Environment Decisional Service System for Lancang-Mekong Sub-Region Security. | Qingwen Qi, Qiao Guo, Lili Jiang, An Zhang, Zhaiwei Chen, Li Xu, Zhangbao Ma |
| 2006 | IGARSS | Study on Virtual Geographic Environment for Ecosystem Monitoring and Management in Lancang River Basin. | An Zhang, Qingwen Qi, Lili Jiang, Li Xu, Xiuping Zou, Jin Li, Xiuping Guo |
| 2005 | ISADS | Stochastic fluid model for P2P content distribution networks. | Ying Lu, An Zhang, Haifeng He, Zhiqun Deng |