Professor Liming Zhu

💡 People often think scalable AI just means handling more transactions or bigger datasets. But scalability isn’t about size. 𝙄𝙩 𝙢𝙚𝙖𝙣𝙨 𝙩𝙝𝙚 𝙨𝙮𝙨𝙩𝙚𝙢 𝙠𝙚𝙚𝙥𝙨 𝙬𝙤𝙧𝙠𝙞𝙣𝙜 𝙪𝙣𝙙𝙚𝙧 𝙜𝙧𝙤𝙬𝙞𝙣𝙜 𝙙𝙚𝙢𝙖𝙣𝙙 𝙤𝙧 𝙧𝙖𝙥𝙞𝙙 𝙘𝙝𝙖𝙣𝙜𝙚 𝙗𝙮 𝙨𝙞𝙢𝙥𝙡𝙮 𝙖𝙙𝙙𝙞𝙣𝙜 𝙥𝙧𝙤𝙥𝙤𝙧𝙩𝙞𝙤𝙣𝙖𝙡, 𝙤𝙧 𝙚𝙫𝙚𝙣 𝙨𝙪𝙗-𝙥𝙧𝙤𝙥𝙤𝙧𝙩𝙞𝙤𝙣𝙖𝙡, 𝙧𝙚𝙨𝙤𝙪𝙧𝙘𝙚𝙨. 𝙉𝙤 𝙗𝙤𝙩𝙩𝙡𝙚𝙣𝙚𝙘𝙠𝙨, 𝙣𝙤 𝙧𝙚𝙙𝙚𝙨𝙞𝙜𝙣𝙨. At the PAKDD AI Forum earlier today, I shared three dimensions of…

📚 How I Read Thousands of Papers In the Age of AI At a session for the Australian Public Service today, I gave a personal talk on how my reading life has transformed—both professionally and personally—through deep AI integration. With AI, I now digest over 2000 academic papers a year, share detailed notes with my…

🤔 𝑯𝒐𝒘 𝒅𝒐 𝒚𝒐𝒖 𝒌𝒏𝒐𝒘 𝒊𝒇 𝑨𝑰 𝒎𝒂𝒌𝒆𝒔 𝒕𝒉𝒊𝒏𝒈𝒔 𝒃𝒆𝒕𝒕𝒆𝒓—𝒘𝒉𝒆𝒏 𝒚𝒐𝒖 𝒅𝒐𝒏’𝒕 𝒆𝒗𝒆𝒏 𝒌𝒏𝒐𝒘 𝒉𝒐𝒘 𝒈𝒐𝒐𝒅 𝒕𝒉𝒆 𝒄𝒖𝒓𝒓𝒆𝒏𝒕 𝒉𝒖𝒎𝒂𝒏 𝒑𝒓𝒐𝒄𝒆𝒔𝒔 𝒊𝒔? 𝑨𝒏𝒅 𝒘𝒉𝒆𝒏 𝑨𝑰 𝒆𝒙𝒑𝒍𝒂𝒊𝒏𝒔 𝒊𝒕𝒔𝒆𝒍𝒇, 𝒉𝒐𝒘 𝒅𝒐 𝒚𝒐𝒖 𝒌𝒏𝒐𝒘 𝒊𝒇 𝒚𝒐𝒖 𝒄𝒂𝒏 𝒕𝒓𝒖𝒔𝒕 𝒕𝒉𝒆 𝒆𝒙𝒑𝒍𝒂𝒏𝒂𝒕𝒊𝒐𝒏? At the NZ Government Data Summit, I shared three important, often overlooked insights from real-world AI deployments:– AI alone…

A great day at the WWW conference where I had the chance to present at the special event on 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐚𝐧𝐝 𝐒𝐚𝐟𝐞 𝐖𝐞𝐛-𝐛𝐚𝐬𝐞𝐝 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬. A central, and perhaps contrarian, view I shared: 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐖𝐞𝐛 𝐢𝐬 𝐟𝐨𝐫 𝐀𝐈, 𝐧𝐨𝐭 𝐡𝐮𝐦𝐚𝐧𝐬. Increasingly, humans will converse with agents, and those agents—not humans—will interact with the…

I had the pleasure of joining the IEEE Early Career Program Summit 2025 panel on “Bridging Academia and Industry in Computing.” It prompted me to reflect on two lessons I wish I’d learned much earlier in my career—because the conventional wisdom I heard early on turned out to be deeply limiting. 🔻 𝐌𝐈𝐒𝐆𝐔𝐈𝐃𝐄𝐃 𝐀𝐃𝐕𝐈𝐂𝐄 #𝟏: “𝐃𝐨𝐧’𝐭…